Population-averaged and subject-specific approaches for clustered categorical data
Oliver
Schabenberger
Stat
Collaborat Inc,1710 Rhode Isl Ave Nw,Suite 200,Washington,DC 20036
Timothy G. Gregoire
Virginia
Polytech Inst & State Univ,Coll Forestry & Wildlife
Resources,Blacksburg,VA 24061
Abstract
Modeling clustered categorical data based on extensions of generalized linear
model theory has received much attention in recent years. The rapidly increasing
number of approaches suitable for categorical data in which clusters are
uncorrelated but correlations exist within a cluster, has caused uncertainty
among applied scientists as to their respective merits and demerits. Upon
centering estimation around solving an unbiased estimating function for mean
parameters and estimation of covariance parameters describing within-cluster or
among-cluster heterogeneity, many approaches can easily be related. This
contribution describes a series of algorithms and their implementation in
detail, based on a classification of inferential procedures for clustered data.
Author
Keywords
generalized mixed linear model, Pseudo-likelihood, estimating equations,
nomenclature
Key Words
Plus
Generalized
linear-models, longitudinal data-analysis, mixed effects models, multivariate
methods, binary data, regression, parameters, outcomes
A versatile growth model with statistically stable parameters
Jon Schnute
Dept. Fisheries and Oceans, Resources services Branch, Pacific Biological Station, Nanaimo, B.C. V9R 5K6. Canada
Abstract
This paper presents a new comprehensive growth model which includes numerous historical models as special cases. The new model is derived from a concise biological principle which, unlike earlier theories, relates to growth acceleration. Properties of growth curves, such as asymptotic limits or inflection points, are shown to be incidental in this new context. Possible submodels include not only asymptotic growth (such as Von Bertalanffy, Richards, Gompertz, or Logistic growth) but also linear, quadratic, or exponential growth. By simple analysis of variance, the observed data can be used directly n deciding which type of model is most appropriate. The new model is cast in terms of parameters which have stable statistical estimates. From this perspective, it is shown how earlier formulations sometimes result in an endless computer search for optimal parameter estimates. Schnute 1981. Can. J. Fish Aquat. Sci. 38:1128-1140.
Key words
Growth, asymptotic growth, von Bertalanffy, Richards, Gompertz, Logistic, length at age, weight at age, nonlinear parameter estimation
Biomass estimation for temperate broadleaf forests of the United States using inventory data
Paul Schroeder
Dynamac Corp,US EPA,Natl Hlth & Environm Effects Res Lab,Western Ecol Div,200 SW 35th St,Corvallis,OR 97333
Sandra Brown
US
EPA,Natl Hlth & Environm Effects Res Lab,Western Ecol Div,Dynam Corp,200 SW
35th St,Corvallis,OR 97333
Mo Jiangming
Dinghushan Arboretum,Guangdong 526070,Peoples R China
Richard Birdsey
US Forest Serv,NE Forest Expt Stn,Radnor,PA 19087
Chris Cieszewski
D.B.
Warnell School of Forest Resources, University
of Georgia ,Athens, GA 30602, USA
Abstract
A potentially valuable data source for estimating forest biomass is forest
volume inventory data that are widely collected and available throughout the
world. In this paper we present a general methodology for using such data to
reliably estimate aboveground biomass density (AGED) and to develop expansion
factors for converting volume directly to AGED from USDA Forest Service Forest
Inventory and Analysis (FIA) data. Growing stock volume inventory data and stand
tables were combined with ndependently developed biomass regression equations to
estimate AGED and to calculate biomass expansion factors (BEF: factors that
convert volume to mass, accounting for noncommercial components) for the
extensive oak-hickory and maple-beech-birch forest types of the eastern United
States. Estimated aboveground biomass for both forest types ranged between 28
and 200 Mg ha(-1). Expansion factors decreased from more than 4.0 at low growing
stock volume to nearly 1.0 when growing stock volume was as high as 190
m(3)ha(-1), consistent with theoretical expectations. In stands with low AGED
(< 50 Mg ha(-1)), small diameter trees (< 10 cm diameter) contained up to
75% of the AGED in trees greater than or equal to 10 cm diameter; this
proportion dropped to < 10% for stands with AGED > 175 Mg ha(-1). The
similarity of our results for two major forest types suggests that they may be
generally applicable for estimating AGBD from inventory data for other temperate
broad leaf forests. Further, the pattern between BEF and stand volume was
similar to that obtained for tropical broadleaf forests, except that tropical
forests generally had larger BEFs than temperate forests at a given volume. The
implications of these results suggest that a recent assessment of forest biomass
in developed countries is too low.
Author
Keywords
forest biomass, expansion factors, forest inventory, global carbon cycle
Key Words
Plus
Carbon Budget , Tropical forests
Investigating parameters of growth equations
Shvets V
Univ Arkansas, Sch Forest Resources, Arkansas Agr Expt Stn,Monticello,AR 71656
Boris Zeid
Univ
Arkansas, Sch Forest Resources,Arkansas Agr Expt Stn, Monticello,AR 71656
Abstract
Two differential forms of growth equations, called the power decline, or PD
form, and the exponential decline, or ED form, generate classic growth equations
(such as the logistic, Chapman-Richards, Korf) and many other integral forms.
Having a full range of these integral solutions allows us to classify them,
establish requirements to their parameters, and relate these parameters and
initial values (starting age and tree size). Comparisons with data confirm
theoretical results. Some applications of the results are discussed.
Potential impacts of increased management intensities on planted pine growth and yield and timber supply modeling in the South
Jacek P. Siry
N Carolina State Univ, Dept Forestry, Box 8008, Raleigh, NC 27695 USA
Frederick W. Cubbage
N Carolina State Univ, Dept Forestry, Raleigh, NC 27695 USA
Malmquist AJ
Forest Technol Grp, Informat Technol, Summerville, SC 29483 USA
Abstract
Five management intensity classes were developed and used to estimate the
potential planted pine growth and yield levels to be applied in the 2000
Rangeland Renewable Resource Act (RPA) assessment. These planted pine yields are
compared to empirical pine yields, developed as a part of the Subregional Timber
Supply model inputs and based on Forest Inventory Analysis (FIA) data. These
comparisons indicate that planted pine yields are much greater than empirical
FIA data, e.g., up to 94 percent greater than current empirical yields (2,361
ft.(3)/ac.) at the highest management intensity (4,587 ft.(3)/ac.) at age 25.
Planted pine yields are also substantially higher than those used in the 1993
RPA assessment. If realized, such productivity increases could prevent potential
timber shortages in the South. Financial analyses indicate that intensified
forest management offers attractive returns. For medium-quality sites, the
calculated net present values are only $290/ac. for the basic empirical southern
pine growth rates. They are $359/ac. for traditional planted pine management,
$526/ac. with improved genetics, $581/ac. with fertilizers, $798/ac. with
fertilizers and herbicides, and $939/ac, with repeated applications of
fertilizers and herbicides.
Asymptotic
site-index curves, fact or artifact
Victor
G. Smith
Abstract
In the absence of permanent sample plot data, site index curves and equations showing the height/age relationship for a tree species growing on a given site have been derived suing stem analysis and temporary sample plot data. Initially the guide-curve method using temporary sample plot data (Bruce and Schumacher 1950) was employed to produce anamorphic site-index curves. More recently mensurationists (e.g. Heger 1988, and Payandeh 1978) have used stem analysis data dn various regression techniques to produce polymorphic curves. This study suggests that the asymptotic site-index curves (i.e. curves that tend to level off within the life of the stand) that have been produced for black spruce may be the result of using mensurational and sampling techniques in forests where site-index is correlated with age. Also the regression techniques commonly used to estimate the parameter in site-index equations do not allow for error in both the dependent variable (height) and an independent variable (site). As a consequence the site-index curves produced by these techniques are asymptotic whereas height estimates obtained from 40 black spruce permanent sample plots do not exhibit any strong asymptotic height properties for stands up to 180 years of age. Smith 1984 .Can. J. For. Res. 17:1181-1189.
Spatial
variation and patterns of soil microbial community structure in a mixed
spruce-birch stand
Peter
Saetre
Department
of Ecology and Environmental Research, Swedish University of Agricultural
Sciences, Box 7072, Uppsala S-750 07, Sweden
Erland
Baath
Department
of Microbial Ecology, Ecology Building, Lund University, Lund S-223 62, Sweden
Abstract
To explore the spatial variation of the soil microbial community
within a mixed Norway spruce-birch stand, and to test if the spatial patterns of
the microbial community are related to the position of trees, we sampled the
forest floor at two spatial scales and used the phospholipid fatty acid (PLFA)
patterns as indicators of the microbial community structure. Of the 32 most
common PLFAs, 20 (62%) were clearly spatially autocorrelated, and the limit of
spatial dependence (range) varied between 1 m and 11 m. The variation in the
community structure was examined by subjecting the PLFAs to a principal
component analysis. The first two principal components described variation
structured at two different spatial scales. The range of the microbial community
for the first component was 4.6 m, whereas for the second component it was only
1.5 m. The microbial community was influenced by the position of the trees.
Spruce trees had a much stronger influence on PLFA patterns than birch trees,
and the first principal component, as well as 12 PLFAs, was influenced by spruce
trees. Several branched PLFAs, characteristic of Gram-positive bacteria, loaded
negatively on the second principal component. These PLFAs represent a complex of
associated microorganisms that aggregated in small patches away from birch
trees. A comparison with a laboratory experiment suggests that although the tree
species differ in their influence on soil moisture and ground vegetation, their
influence on the microbial community were, to a large extent, connected to the
quality of soil organic matter associated with the two trees.
Saetre and Baath
Author
Keywords
spatial variation, soil microbial community, phospholipid fatty
acids, tree influence, Picea abies, Betula pubescens
KeyWords
Plus:
fatty-acid analysis, forest soils, nitrogen mineralization, biomass,
heterogeneity, vegetation, ph, variability, bacterial, chemistry
Spatial
variation of nitrate-N and related soil properties at the plot-scale
Stenger R
Institute
of Soil Ecology, GSF-National Research Center for Environment and Health, D-85764
Neuherberg, Germany
Priesack
E
Lincoln
Environmental, Private Bag 3062, Hamilton, New Zealand
Beese
F
Institute
of Soil Science and Forest Nutrition, University of Gottingen, Germany
Abstract:
Neglecting the spatial variation in soil nutrient status may result in unused
yield potential and in environmental damage. Site-specific management has been
suggested to reduce inappropriate fertilization that can adversely affect soil,
ground and surface water. Decision criteria for determining variable-rate
nitrogen fertilization are, however, lacking. This paper analyses the spatial
variation of nitrate nitrogen (NO3-N) and soil properties related to the N cycle
at the plot-scale, Three 50 X 50 in plots were sampled in nested sampling
designs of varying complexities. Classical statistics revealed a characteristic
ranking in the variability of soil properties. Geostatistical analysis of the
NO3-N data from two plots showed that the small-scale variation found in one
small subgrid was not typical for the small-scale variation in the entire plot,
indicating bias in the sampling design. A trend component was found in the NO3-N
data and, consequently, the minimal requirement for the regionalized variable
theory was not fulfilled. Problems due to design were overcome with a more
complex nested sampling at the third plot. However, the spherical model fitted
to the NO3-N data of the first year explained only 21% of the total variance,
whereas a pure nugget effect was observed in the second year. The water content
data also showed a low structural variance, which was different in the two
years, In contrast, two thirds of the variance of total carbon (C) and total
nitrogen (N) could be explained by the fitted models. Seasonal variations, such
as varying duration of snow cover, and extrinsic management effects, such as
growing of a cover crop, may have contributed to the observed differences in
variability between the years. Due to the low proportion of structural variance
and the observation that spatial distribution was not stable with time,
geostatistical analysis of NO3-N and water contents data added only little
information to classical statistical analysis. However, geostatistical analysis
of total C and N contents provided a useful means to calculate spatial
distribution patterns of these properties. Stenger, Beese et al. 2002. Geoderma. 105: 259-275.
Author
Keywords:
site-specific management, spatial variation, temporal variation, heterogeneity
KeyWords
Plus:
temporal persistence, field-scale, variability, patterns, nitrogen,
mineralization, availability, dependence, management
Using competitive stress index to estimate diameter growth for thinned Douglas-fir stands
S.
H. Smith
Potlatch
Corporation, Lewiston, Idaho
J.
F. Bell
Department of Forest Management, Oregon State University, Corvallis, OR
9733
Abstract
A
set of linear growth equations was developed using initial tree diameter (DBH),
initial
competitive stress index (CSI), and change in CSI due to thinning as
independent
variables to predict periodic tree-diameter growth response for
a 3-
and 4-year growth
period. Data from a
regional
levels-of-growing-stock study in young-growth Douglas-fir [Pseudotsuga
menziesii (Mirb.)
Franco] provided the data base for
computing the CSI
values. Functions including all three independent variables accounted for the
greatest variation in periodic diameter increment for both growth periods.
Moreover, including transformations of initial
CSI and
change in CSI in the model provided significant improvements over a model based
only on functions of initial DBH. Smith and Bell 1983. For. Sci. 29: 491-499.
Additional key words
Intertree competition, growing space, influence
zone, stand models
Yield
prediction for unthinned natural slash pine stands
H.T.
Schreuder
Southeastern Forest Experiment Station, U.S. Forest Service, Research Triangle Park, North Carolina
W.L.
Hafley
School of Forest Resources, North Carolina State University, Raleigh, North Carolina
F.A. Bennett
Abstract
Equations are presented for predicting number of trees, mean height, and total volume outside bark by diameter class when stand age (A), site index (SI), and current number of trees per hectare (N) are known in unthinned natural stands of slash pine. The Weibull distribution was fitted to diameter frequency data, then suitable height-diameter and volume-D2H models were developed to calculate the Weibull parameters for the distributions of height and volume. Parameters for diameter and height distributions can be predicted form A, SI, and N and these equations are incorporated with the volume- D2H model in a computer program that generates a diameter frequency distribution, mean height, and total volume per acre or hectare by diameter class. Schreuder, Hafley et al. 1979. For. Sci. 25: 25-30.
Additional key words
Weibull distribution, functional models, diameter distribution, height distribution, volume distribution
Yield of unthinned red pine plantations at the Petawawa forest
experiment station
W.M.
Stiell
Forest
Management Institute
Ottawa, Ontario
A.B.
Berry
Petawawa
Forest Experiment Station Chalk River, Ontario
Abstract
Yield tables for high-survival, unthinned plantations of red pine were prepared to age 50 years from planting, by 5-year age classes, for eight planted spacing and five site index classes. Each table presents the numbers of trees and the basal area per acre, the mean d.b.h., and the total, merchantable cubic, and board foot volumes per acre. Site index curves and diameter distribution data are also presented. Stiell and Berry 1973. Dept. Environ. Can. For. Serv. Publ. NO. 1320. 17p.
Michigan's forests, 1993: an analysis
Thomas
L. Schmidt, John S. Spencer, Jr.
Forest
Inventory and Analysis Program at the North Central Forest Experiment Station,
St. Paul, Minnesota.
Robin Bertsch
Forest
Management Division of the Michigan Department of Natural Resources, Lansing,
Michigan.
Abstract
The fifth inventory of Michigan's forests reports 36.4 million acres of land, of which 19.3 million acres are forested. This bulletin presents an in-depth analysis of the forest resources and contains detailed tables of area, volume, growth, removals, mortality, and ownership. Schmidt and Spencer, Jr. 1997. USDA For. Serv. Res. Rep. NC-179. 101p.
Key
Words
forest
area, timber volume, growth, removals, mortality
Determination
of spatial continuity of soil lead levels in an urban residential neighborhood
Nita J.
Shinn, John Bing-Canar, Michael Cailas
School
of Public Health, University of Illinois at Chicago, Chicago, Illinois
Nicholas Peneff
School
of Public Health, University of Illinois at Chicago, Chicago, Illinois; - Public Health
& Safety, Inc., Chicago, Illinois
Helen
J. Binns
Children’s
Memorial Hospital, Northwestern University, Chicago, Illinois
Abstract
This study uses geostatistical techniques to model and estimate soil lead levels
in an urban, residential neighborhood. Sixty-two composite soil samples (median
1773 ppm; range 175 to 7953 ppm) in a four-block area of brick and stone homes
were obtained. The spatial continuity of soil lead levels was modeled with a
semi-variogram, which was then used to estimate lead levels at unsampled
locations, a process called kriging. Because soil lead levels were spatially
correlated, it is likely that a "nonrandom" process generated the lead
distribution found. This finding signifies the existence of lead sources which
were tentatively identified on historical maps of the area and from past traffic
volume patterns. The distribution of kriged estimates of soil lead levels
provides an explanatory tool for exploring and identifying potential sources and
mag be useful for targeting urban soil abatement efforts. Shinn, Bing-Canar et
al. 2000. Environmental
Research. 82: 46-52.
Author
Keywords
soil, lead, mapping, geostatistics, urban
KeyWords
Plus
blood lead, children, smelter, exposure, plants
Adapting
an individual tree growth model for Norway spruce (Picea abies L. Karst.) in
pure and mixed species stands
Hubetr Sterba, Astrid
Blab
Institute of Forest Growth Research, University of Agricultural Sciences, Peter Jordanstrabe 82, A-1190 Wien, Vienna, Austria
Klaus Katzensteiner
Institute of Forest Ecology, University of Agricultural Sciences, Peter
Joudanstrabe 82,A-1190, Wien, Vienna, Austria
Abstract
PROGNAUS is an individual tree growth model, containing a major sub-model which
depicts basal area growth as a function of tree size, competition and a set of
diagnostic site variables. The coefficients of this model have previously been
estimated using the data from the Austrian National Forest (ANF) inventory. The
examination of 60 new sample plots in two Austrian growth districts showed that
the increment of Norway spruce (Picea abies L. Karst.) in pure spruce stands was
overestimated by this model while it was underestimated in mixed species stands
with European beech (Fagus sylvatica L.).
In order to adapt PROGNAUS to account for this effect, the data of the 60 plots were used to modify PROGNAUS by adding quantitative soil characteristics and the percentage of Not-way spruce as variables. The markedly improved model accounts for the effect that in a given stand, below a certain competition level, Norway spruce grows better in the pure stand than in an otherwise comparable mixed species stand. These small spruce trees in mixed stands have a shallow rooting system and therefore suffer from water stress, which is caused by the competing European beech with its higher water consumption. and deeper rooting system.
Adding the Norway spruce proportion as an independent variable into the original model and re-parameterising it with the data of the ANF inventory, reveals that this effect can be generalized to some extent, but differs in magnitude depending on the geological substrate. Sterb, Blab et al. 2002. For. Ecol. Manage. 159: 101-110.
Author
Keywords
individual tree growth model, mixed species stands, Picea abies L. Karst., Fagus
sylvatica L.
KeyWords
Plus
forest stands, beech
Schaap MG, Bouten W
Landscape and Environmental Research Group, University of Amsterdam,
Nieuwe Prinsengracht 130, 1018 VZ Amsterdam, The Netherlands
Abstract:
Forest floor evaporation was measured with an accurate weighing lysimeter during
44 days in early spring and summer. The Penman-Monteith approach was used to
model the evaporation rates as well as the temperature difference between forest
floor surface and air at Im height. Values of resistance parameters were
slightly different when the Penman-Monteith model was optimized for measured
evaporation rates or for measured temperature differences. These discrepancies
were partly due to field variability in forest floor water contents but also
because our approach considered the forest floor to be isothermal. With the
appropriate parameter sets, the model was able to predict measured hourly forest
floor evaporation rates and surface temperature dynamics satisfactorily.
We show that in the forest discussed in this paper the Penman-Monteith ventilation term dominates over the available energy term. As a result the evaporation flux is matched by an almost equal, sensible heat flux but in opposite direction. Forest floor water content dynamics have a strong control over the evaporation flux. Spatial variability in forest floor water contents cause the 44-day average forest floor evaporation to range from 0.19 mm d(-1) in a dry part of the forest to 0.3 mm d(-1) in a wet part with 0.23 mm d(-1) as a site representative value. Schaap and Bouten 1997. J. Hydrology. 193: 97-113.
KeyWords
Plus:
canopy, evapotranspiration, transpiration, model
Douglas Stow,
Allen Hope, William Boynton, Stuart Phinn
Department of Geography, San Diego State University, San Deigo, CA
92182-4493, USA
Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309,USA
Abstract
The spatial variability and co-variability of two different types of remote
sensing derivatives that portray vegetation and geomorphic patterns are analyzed
in the context of estimating regional-scale CO2 flux from land surfaces in the
arctic tundra, For a study area encompassing the Kuparuk River watershed of the
North Slope of Alaska, we compare satellite-derived maps of the normalized
difference vegetation index (NDVI) generated at two different spatial
resolutions to a map of vegetation types derived by image classification of data
from the Landsat multispectral scanner (MSS). Mean values of NDVI for each cover
type stratum are unique (with the exception of moist acidic tundra and shrubland
types), Based on analysis of semi-variograms generated for SPOT-NDVI data, most
of the vegetation cover and landform features of this arctic tundra landscape
have spatial dimensions of less than 1 km. Thaw lakes on the coastal plain and
glacial depositional landforms, such as moraines in the foothills, seem to be
the largest features, with vegetation units having dimensions no larger than 700
m. Frequency distributions of NDVI and vegetation types extracted for sampling
transects flown by an aircraft sensing CO2 flux, relative to distributions for
the entire Kuparuk River watershed, suggest a slight sampling bias towards
greater cover of mesic wet sedge tundra and thaw lakes and associated lower NDVI
values. The regional pattern of NDVI for the North Slope of Alaska corresponds
primarily to differences between the two major physiographic provinces of this
region. Stow, Hope et al. 1998. Geomorphology. 21: 313-327.
Author
Keywords:
arctic tundra, remote sensing, carbon dioxide, regional scaling, satellite
imagery, spectral vegetation indices
KeyWords
Plus:
reflectance, ecosystems, co2, exchange
Modeling
canopy structure and heterogeneity across scales: From crowns to canopy
Bo Song, Jiquan Chen, Paul V. Desanker, David D. Reed
Schoool of Forestry and Wood Products, Michigan Technological University, Houghton, MI 49931, USA
Forestry Science Laboratory, USDA Forestry, USDA Forest Service, Corvallis, Or 97331, USA
Jerry
F. Franklin
College of Forest Resources, University of Washington, Seattle, WA 98195,
USA
Abstract
Canopy studies have been limited in ecological investigations due to problems of
canopy accessibility, and the lack of efficient sampling and modeling methods.
The primary objective of this study was to develop an efficient modeling
approach to describe the 3-dimensional, hierarchical structure of individual
crown shells within stands and corresponding canopy patches. Crown shells were
modeled based on crown ratio, maximum cardinal radius, vertical position, and
shape. Canopies were represented by adding unique crowns to simulated point
patterns of trees of known aggregation as measured by Pielou's index of
nonrandomness. Canopy patches were delineated at multiple horizontal and
vertical scales using the ARC/INFO geographic information system (GIS). The
patterns of canopy patches are clearly variable and scale dependent. Canopy
patterns become more diverse at broader horizontal scales, and change greatly
from the lower to the upper canopies. The modeling approach used in this study
has general utility in characterizing 3-dimensional canopies of many types of
forests. Song, Chen et al. 1997. For. Ecol. Manage. 96:
217-229.
Author
Keywords
crown, canopy, simulation, GIS, scale, spatial pattern
Schimmack W
GSF-National Research Center of Environment and Health, Institute for Radiation Protection, P.O. Box
1129, D-85758 Neuherberg, Germany
Auerswald K
Department of Soil Science, Technical University MuČnchen/Weihenstephan, D-85350 Freising, Germany
Bunzl K
GSF-National Research Center of Environment and Health, Institute for Radiation Protection, P.O. Box
1129, D-85758 Neuherberg, Germany
Abstract
Erosion studies often use Cs-137 from the global fallout (main period:
1953-1964) as a tracer in the soil. In many European countries, where Cs-137 was
deposited in considerable amounts also by the Chernobyl fallout in 1986, the
global fallout fraction (GF-Cs) has to be separated from the Chernobyl fraction
by means of the isotope Cs-134. In a few years, this will no longer be possible
due to the short half-life of Cs-134 (2 yr). Because GF-Cs in the soil can then
no longer be determined, the potential of using Pu239+240 as a tracer is
evaluated. This radio nuclide originates in most European countries essentially
only from the global fallout. The activities and spatial distributions of Pu and
GF-Cs were compared in the soil of a steep field (inclination about 20%, area
ca. 3 ha, main soil type Dystric Eutrochrept), sampled at 48 nodes of a 25x25
m(2) grid. The reference values were determined at 12 points adjacent to the
field. Their validity was assured by an inventory study of radiocaesium in a 70
ha area surrounding the field sampling 275 nodes of a 50x50 m(2) grid. In the
field studied, the activity concentrations of GF-Cs and Pu in the Ap horizon
were not correlated (Spearman correlation coefficient R = 0.20, p > 0.05),
and the activity balance of Pu differed from that of GF-Cs. Whereas no net loss
of GF-Cs from the field was observed as compared to the reference site, Pu was
more mobile with an average loss of ca. 11% per unit area. In addition, the
spatial pattern of GF-Cs and Pu in the field differed significantly. The reason
may be that due to their different associations with soil constituents, Pu and
Cs represent different fractions of the soil, exhibiting different properties
with respect to erosion/deposition processes. This indicates that both
radionuclides or one of them may not be appropriate to quantify past erosion.
When tracer losses are used to calibrate or verify erosion prediction models,
systematic deviations may not only stem from model shortcomings but also from
tracer technique. Schimmack, W., K. Auerswald et al. 2001. J. Environ.
Radioactiv. 53: 41-57.
Author
Keywords
erosion, plutonium, radiocaesium, Chernobyl fallout, global fallout
KeyWords
Plus
spatial variability, sequential extraction, grassland soil, Cesium-137, Am-241,
association, Pu-239+240, radiocesium, limitations, plutonium
Process-based models and forest management
Risto
Sievanen
Department of Mathematics, The Finnish Forest Research Institute Unioninkatu 40 A, 00170 Helsinki Finland
Thomas
E. Burk
Department of Forest Resources, University of Minnesota 1530 N Cleveland Avenue, St. Paul, MN 55108 USA
Abstract
The application of process-based (PB) growth models in forest management has been quite limited so far. However, In principle these models have the potential for being highly applicable in solving various forest management problems. Before this potential can be realized, the models have to meet the special requirements arising form the intended application. In this paper the capabilities of PB models to meet these requirements is studied. Sievanen and Burk. Dept. Math. Fin. For. Res. Ins. & Dept. For. Res., Univ. Minn. 13p.
Parameter estimation in a
photosnthesis-based growth model
Risto
Sievanen
Department of Mathematics, The Finnish Forest Research Institute Unioninkatu 40 A, 00170 Helsinki Finland
Thomas
E. Burk, Alan R. EK
Department of Forest Resources, University of Minnesta 1530 N Cleveland Avenue, St. Paul, MN 55108 USA
Abstract
A growth model for an individual tree in a forest stand based on photosynthesis and respiration relationships is briefly described. Individual tree growth data (six measurements of diameter) of red pine (Pinus Resinosa Ait.) stands are used to estimate a subset of the parameters in the model using a globally, simultaneous approach. The loss function is composed of prediction errors for individual trees at the times of measurement and is a nonlinear function of the parameters. Estimates for parameters are compared with values found in the literature. Use of alternative loss function definitions provides insight into model component stability. Sievanen and Burk. P.345-352. IUFRO.
Risto
Sievanen
Department of Mathematics, The Finnish Forest Research Institute Unioninkatu 40 A, 00170 Helsinki Finland
Thomas
E. Burk, Alan R. EK
Department of Forest Resources, University of Minnesta 1530 N Cleveland Avenue, St. Paul, MN 55108 USA
Abstract
A
discrete
growth model for an individual tree in a
forest stand is presented. The model is based on simplified
photosynthesis and respiration relationships. Implementation of the model also
requires functions for change in live
crown ratio and stems per unit area. Tree growth predictions are expressed in
terms
of biomass and basal area. A preliminary
evaluation of the model is made using data from the literature on the
growth of even-aged stands of red pine (Pinus
resinosa Ait.). The model produced both short- and
long-term trends consistent with stand growth data. The
evaluation suggests further possibilities for
model component refinement. Sievanen, Burk et al.1988. Can. J. For. Res. 18: 1027-1035. 1988.
Comparison of diameter growth and crown competition factor in loblolly
pine plantations
Mike
R. Strub
School
of Forest Resources, Pennsylvania State University, University Park, PA 16802
Richard
B. Vasey,
Harold E. Burkhart
Division
of Forestry and Wildlife Resources, Virginia
Polytechnic Institute and State University (VPI &
SU)
Blacksburg,
VA 24061
Growth
in diameter at breast height (dbh) in loblolly pine plantations was compared
with that of open-grown trees. Data were collected in 240 plantations
and from 81 open-grown
pines. The age at which average diameter growth in plantations diverges from
that of open-grown trees was estimated for different site index and stand
density combinations and compared to the age at which the crown competition
factor (CCF) is predicted to reach 100. Average diameter growth in stands
consistently differed from open-grown tree diameter growth and year after the CCF
reaches 100. This
result is potentially useful for forest growth simulation. Strub, Vasey et al.
1975. For. Sci. 21: 427-431. 1975.
Additional key words
Pinus taeda, competition.
Volume estimation by diameter class using bootstrap variance analysis
Hans
T. Schreuder,
G.E. Brink
Rocky
Mountain Forest and Range Experiment Station, USDA Forest
Service, 240 West
Prospect, Fort Collins,
CO 80526
(U.S.A.)
Abstract
Bootstrap estimation is used to provide standard errors
of estimates for
volume by diameter class in a test data set of the IVth Dutch
Forest Survey. Such standard errors of estimates
cannot currently be obtained by classical methods. Schreder and Brink 1987. For.
Ecol. Manage. 20: 189-194. 1987
The jackknife - a useful statistical tool
Hans
T. Schreuder,
G.E. Brink
Rocky
Mountain Forest and Range Experiment Station, USDA Forest
Service, 240 West
Prospect, Fort Collins,
CO 80526
(U.S.A.)
Abstract
The Jackknife technique is a statistical approach for distribution-free bias reduction and standard error estimation. The most popular version of the technique is described and illustrated, and potential areas of application are indicated. The technique is primarily useful to estimate standard errors for complex sampling strategies where no good standard error estimates can be computed, and to decrease estimation bias in situations where for the complex sampling strategies now being developed by the forest survey units for updating timber estimates. Schreuder and Brink 1992. Timber MGT. 531-535. 1992
Alternative estimators for Point-Poisson sampling
Hans
T. Schreuder,
G.E. Brink
Rocky
Mountain Forest and Range Experiment Station, USDA Forest
Service, 240 West
Prospect, Fort Collins,
CO 80526
(U.S.A.)
R.
L. Wilson
Regional Timber Office, Container Corporation of America, P.O. Box T,
Fernanaidan Beach, FL 32034
Abstract
A new Jackknife-based variance estimate is derived for point-Poisson (point-3P) sampling. This variance estimate is shown to be superior to most estimates derived assuming point-pps with or without replacement sampling, for a population with a very strong linear relationship between the variable of interest and the covariate used for sample selection and estimation. Only a variance estimate suggested by L. Grosenbaugh is equally good. This variance estimate is recommended since it is simplest to computed. Both the standard point- Poisson and a proposed unbiased Jackknife estimate of total volume are about equally efficient. Schreuder, Brink et al. 1984. For. Sci. 30: 803-812. 1984
Additional
key words
Jackknife, Raj estimator, negative variance estimates, pps with and without replacement, 3p
Forest tree production centres in Canada 1983
Smyth,
J.H., A.J. Brownwright
Great lakes Forest Research
Centre, Canadian Forestry Service,
Department of The Environment
Abstract
A
total of 103 public sector, private and forest industry nurseries produced
planting stock for reforestation purposes in 1983, Of these, 47 grew bare-root
stock and 83 grew containerized seedlings. Planned production of bare-root and
containerized stock for 1983 was 281 million and 260 million seedlings,
respectively. Since 1979, bare-root production expanded by 40%, or 81 million
seedlings, and containerized stock increased by 140%, or 152 million seedlings.
Total production is forecasted to increased to 285 million bare-root and 271
million containerized seedlings in 1984. Smyth
and Brownwright 1984. Can.
For. Serv. Dept. Env.,Inf. Rep. O-X-357. 54p. 1983.
Department
of Earth and Space Sciences, Campus Box 351310, University of Washington,
Seattle, WA 98195, USA
Laboratory
for Terrestrial Physics, NASA Goddard Space Flight Center, Greenbelt, MD 20771,
USA
Abstract
We identified stages of regrowth in replanted clearcuts in D ouglas-fir/western
hemlock forests in the Gifford Pinchot National Forest, southern Washington,
USA, using a simple four-endmember constrained linear spectral mixing model
applied to a multispectral Landsat Thematic Mapper image in order to separate
and quantify spectral contributions from significant scene components. Spectral
unmixing produces images of the fractional amount of the spectral endmembers,
which were green vegetation, nonphotosynthetic vegetation, soil and
"shade," which includes topographic shading and shadows. Changes in
endmember fractions correspond to changes in surface composition (as viewed from
above). Unresolved shadows comprise the primary indicator of canopy structure
and hence, regrowth stage. To isolate shadows, shading predicted from a digital
elevation model was removed from the image before mixture analysis. As stands
regrow, the surface cover shifts from initial high proportion of slash and
exposed soil, and low proportions of green vegetation and shadows, to low
fractions of stems and soil with high fractions of green vegetation and shadows.
This shift in surface composition defines a regrowth trend in an endmember
fraction data space. Projection of data onto this line allows estimation of
structural stage and stand age, and provides a framework for remote mapping and
monitoring of forest regrowth. Field analysis of 495 forest stands, representing
stand structural stages ranging from newly replanted cuts to stands greater than
250 years in age, was used to assess the accuracy and precision of predicted
structural stages and stand ages. The spectral unmixing approach can be used to
evaluate and monitor forest regrowth quickly over large areas of the Pacific
Northwest forests, and is extendible to mapping basic vegetation community type
as well as structural stage. Sabol Jr. and Gillespie et al. 2002. Remote
Sens. Environ. 80: 1-16.
Key
Words Plus
thematic
mapper, tm data, canopy, reflectance, scattering, vegetation, variograms, age
Estimation of stand basal area growth and yield with a reverse logistic function
Riyaz
A. Sadiq
Faculty of Forestry, University of Toronto, Toronto, Ont., Canada M5S 1A1
Logistic
curves have been used to study the growth of
human and animal populations.
Physical chemists have used it to
study growth and senescence of chemical reactions. The
present study investigates the
application of the curve to forest
stands estimating basal area growth and
yield. Graphic analysis with the basal area growth data from permanent
sample plots in
nine (Pinus
resinona Ait.)
plantations of southern
Ontario, exhibited reverse logistic trends. The
parameters of the reverse of
logistic function were estimated by nonlinear regression techniques. Freese's
chi-square test was employed to determine the accuracy of
the resulting estimates of basal area growth and yield.
Results from the data used here indicate that the function not only
fits the data well but also has
high predictive power. Sadiq 1983. Can. J. For. Res. 13: 289-297.
Estimation of individual tree volumes with age and diameter
Riyaz
A. Sadiq
Kashmir
Forest Department Sheikh
Bagh, Srinagar
- l90001,
Kashimir,
India
Victor
G. Smith
Faculty
of Forestry
University of Toronto,
Toronto, Ont.,
Canada M5S
1A1
Even
though invention of high-precision equipment has reduced measurement errors
associated with the estimation of
heights of standing trees, height estimation is still an expensive and
time-consuming operation. At limes it
is difficult to determine especially in dense forests or
in forests located in hilly
terrain. The present study advocates a volume-age-diameter function to estimate
volumes of individual trees. The technique presented here circumvents
measurement of tree heights through the use of age which, however, restricts the
application of the function to plantations or forests whose age is
predetermined. Analyses with
stem-analysis data from red pine (Pinus
resinosa Ait.)
plantations of southern Ontario indicate that
the function estimates tree
volumes more accurately than the standard methods commonly used.
Sadiq and Smith. 1982. Can. J. For. Res. 13: 32-39.
Spatial
variation and patterns of soil microbial community structure in a mixed
spruce-birch stand
Peter Saetre
Department of Ecology and Environmental Research, Swedish University of Agricultural Sciences, Box 7072, Uppsala S-750 07, Sweden
Erland Baath
Department of Microbial Ecology, Ecology Building, Lund University, Lund S-223 62, Sweden
Abstract
To explore the spatial variation of the soil microbial community within a mixed
Norway spruce-birch stand, and to test if the spatial patterns of the microbial
community are related to the position of trees, we sampled the forest floor at
two spatial scales and used the phospholipid fatty acid (PLFA) patterns as
indicators of the microbial community structure. Of the 32 most common PLFAs, 20
(62%) were clearly spatially autocorrelated, and the limit of spatial dependence
(range) varied between 1 m and 11 m. The variation in the community structure
was examined by subjecting the PLFAs to a principal component analysis. The
first two principal components described variation structured at two different
spatial scales. The range of the microbial community for the first component was
4.6 m, whereas for the second component it was only 1.5 m. The microbial
community was influenced by the position of the trees. Spruce trees had a much
stronger influence on PLFA patterns than birch trees, and the first principal
component, as well as 12 PLFAs, was influenced by spruce trees. Several branched
PLFAs, characteristic of Gram-positive bacteria, loaded negatively on the second
principal component. These PLFAs represent a complex of associated
microorganisms that aggregated in small patches away from birch trees. A
comparison with a laboratory experiment suggests that although the tree species
differ in their influence on soil moisture and ground vegetation, their
influence on the microbial community were, to a large extent, connected to the
quality of soil organic matter associated with the two trees. Saetre
and Baath 2000.
Soil Biol. Biochem. 32: 909-917.
Author
Keywords
spatial variation, soil microbial community, phospholipid fatty acids, tree
influence, Picea abies, Betula pubescens
Key
Words Plus
fatty-acid analysis, forest soils, nitrogen mineralization, biomass,
heterogeneity, vegetation, ph, variability, bacterial, chemistry
Chromatin distribution pattern and cell functioning
T.S.
Sahota,
F.G.
Peet,
A. Ibaraki,
S.H.
Farris
Canadian
Forestry Service, Pacific Forestry Center, 506 West Burnside Road,
Victoria, B.C. Canada V8Z 1M5
Chromatin
distribution patterns of the
nuclei of the follicular epithelial cell of
Dendrocronus pseudotsugae Hopk.
(Scolytidae: Coleoptera) were analyzed
after creating their digital images. The five cell populations examined
consisted of follicular epithelial cells at
three different stages of structural
and functional differentiation and two
populations in
which this differentiation was
blocked. The results show that
chromatin distribution patterns
differ when cells are structurally and functionally different but are not
different in cells that are structurally, developmentally, and functionally
similar. The procedures are capable of detecting minute
differences and appear useful
for early detection of developmental and functional changes in
relation to normal and
pathological conditions. Sahota and Peet et al. 1985. Can. J.
Zool. 64: 1908-1913.
A. Saldana, A. Stein, J.A. Zinck
ITC International Institute for Aerospace Survey and Earth Sciences, P.O. Box 6, 7500 AA Enschede, Netherlands
Abstract
This paper applies statistical and geostatistical procedures to a soil
chronosequence on the terraces of the Henares River (NE Madrid) to analyse the
spatial distribution of several soil properties and use the contribution of
geostatistics to establishing a landscape evolution model of the area.
Particle-size distribution, pH, calcium carbonate and organic carbon were
analysed. Statistical procedures focus on analysing differences between
terraces. Geostatistical procedures identify short- and medium-range variations
within individual terraces at different scales. Standard transitive variogram
models describe the properties of the younger terrace;whereas the linear
intransitive model fits the majority of variograms of the older terrace. The
analysis confirms and quantifies the decrease in variability of soil properties
from young to old deposits, showing thus an increment of soil homogenisation
with time. Ageing of the terraces causes the variables to show nontransitive
variogram models with unbounded variances within the observation range. Saldana
and Stein et al. 1998. Catena. 33: 139-153.
Author
Keywords
chronosequence, spatial variability, variogram, soil homogenisation, spatial
sampling
Key
Words Plus
geostatistics, delineations, information, landscapes
On
the applicability of Landsat TM images to Mediterranean forest inventories
Raymond Salvador
Centre
de Recerca Ecologica i Aplicacions Forestals, Universitat Autonoma de Barcelona,
08193 Bellaterra, Barcelona, Spain
Departament
de Geografia, Universitat Autonoma de Barcelona, 08193 Bellaterra, Barcelona,
Spain
Abstract
Landsat TM images were used in combination with field measurements to create
models for Mediterranean forests. Radiometric data from those images were
related to field data from a forest inventory by means of regression analysis.
Trials using plots with radiometrically homogeneous surroundings were carried
out to evaluate the effect of high spatial heterogeneity frequently found in
Mediterranean forests. Simple regression models were found to be consistent with
the expected radiometric response of vegetation, and most of the multiple
regression models fitted the observations sufficiently in order to make
quantitative predictions for field variables from the remote sensing images.
According to this study, however. these models should be regarded as exploratory
models rather than fully operational ones. Spatially and non-spatially related
factors are suggested as causes of the remaining dispersion of models created.
Salvador, R., X. Pons. 1998. On the applicability of Landsat TM images to
Mediterranean forest inventories. For. Ecol. Manage. 104: 193-208.
Author
Keywords:
forest quantitative variables, radiometric response, predictive models, spatial
heterogeneity
Key
Words Plus
leaf-area index, thematic mapper, vegetation indexes, cover, spot, reflectance,
stand, model, MSS
Soil
carbon and soil physical properties response to incorporating mulched forest
slash
Felipe
G. Sanchez,
USDA
Forest Service, Southern Research Station, P.O. Box 12254, Research Triangle
Park, North Carolina 27709, United States
USDA
Forest Service, Southern Research Station, 520 Devall Drive, Auburn University,
Alabama 36849-5418, United States
A
study was installed in the Lower Coastal Plain near Washington, North Carolina,
to test the hypothesis that incorporating organic matter in the form of
comminuted forest slash would increase soil carbon and nutrient pools and alter
soil physical properties to favor pine growth. Two sites were selected, an
organic and a mineral site, to compare the treatment effects on the different
soil types. The mulching treatments included a surface broadcast mulch, a
surface strip mulch, and a strip mulch and till. On the mineral site, the three
treatments resulted in general decreases in soil bulk density, gravimetric soil
water content, and soil strength. Soil carbon and nitrogen increased for all the
treatments on the mineral site, with some significant differences between the
treatments. The broadcast mulch and bed treatment resulted in an almost 100%
increase in soil carbon and nitrogen. On the organic site, the treatments did
not have a significant effect on soil physical properties or soil carbon and
nitrogen. There was a consistent decrease in soil carbon and nitrogen on this
site but these changes were not significantly different from those in the
control treatment. Sanches and Carter et al. 2000. N. Z. J.
For. Sci. 30: 150-168.
Keywords
mulch;
till; soil carbon; bulk density; soil strength.
Forest floor evaporation in a dense Douglas fir stand
M.G. Schaap, W. Bouten
Landscape
and Environmental Research Group, University of Amsterdam, Nieuwe Prinsengracht
130, 1018 VZ Amsterdam, The Netherlands
Abstract
Forest floor evaporation was measured with an accurate weighing lysimeter during
44 days in early spring and summer. The Penman-Monteith approach was used to
model the evaporation rates as well as the temperature difference between forest
floor surface and air at Im height. Values of resistance parameters were
slightly different when the Penman-Monteith model was optimized for measured
evaporation rates or for measured temperature differences. These discrepancies
were partly due to field variability in forest floor water contents but also
because our approach considered the forest floor to be isothermal. With the
appropriate parameter sets, the model was able to predict measured hourly forest
floor evaporation rates and surface temperature dynamics satisfactorily.
We show
that in the forest discussed in this paper the Penman-Monteith ventilation term
dominates over the available energy term. As a result the evaporation flux is
matched by an almost equal, sensible heat flux but in opposite direction. Forest
floor water content dynamics have a strong control over the evaporation flux.
Spatial variability in forest floor water contents cause the 44-day average
forest floor evaporation to range from 0.19 mm d(-1) in a dry part of the forest
to 0.3 mm d(-1) in a wet part with 0.23 mm d(-1) as a site representative value.
Schaap and Bouten. 1997. J. Hydrology. 193: 97-113.
Key
Words Plus
canopy, evapotranspiration, transpiration, model
R. Schaible
Forest Service, Department of Agriculture, Dundonald House, Upper Newtownards Road, Belfast BT4 3SB, Northern I r e land, UK
D.J.
Kilpatrick
Biometrics
Division, Department of Agriculture,
Newforge Lane, Belfast BT9 5PX, Northern
Ireland, UK
Abstract
There
are 58,006 ha of state owned forest plantations in Northern Ireland managed as
high forest. For inventory purposes the forest area is stratified into age
classes and sampled by 2,100 randomly located permanent sample plots, some of
which have existed from 1970.
Measurements were made in the winter months between 1985 and 1988 to provide
data for the estimation of standing volume and current annual increment, site
assessment, timber production forecasting and
the development o
f yield models. Statistical
methods were used to determine the optimum number off
old and new plots to be
measured in each stratum, and for the combination of successive measurements on
individual plots to maximize the precision of the estimates.
Keywords
Forest
inventory, stratified sampling, optimization
Contribution of increasing CO2, and climate to carbon storage by ecosystems in the United States
Max-Planck-Institute for Biogeochemistry, Postfach 100164, D-07701 Jena, Germany
The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA 02543, USA
U.S.
Geological Survey, Alaska cooperative Fish and Wildlife Research Unit,
University of Alaska, Fairbanks, AK 99775-7020 USA
The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA 02543, USA
National Center for Atmospheric Research, P.O. Box 3000, Boulder, Co 80307-3000, USA
University of Montana, Missoula, MT 59812, USA
NREL, Colorado Sate University, Fort Collins, CO 80523-1499, USA
Plant Ecology, Lund University, Ekologihuset 223 62 Lund, Sweden
U.S. Department of Agriculture, Forest Service, Oregon State University, Forest Science Laboratory, 3200 Southwest Jefferson Way, Corvallis, OR 9733, USA
Department
of Enviornmental Sciences, University of Virginia, Charlottesville, VA 22903,
USA
Abstract
The
effects of increasing carbon dioxide (CO,) and climate on net carbon storage in
terrestrial ecosystems of the conterminous United States for the period
1895-1993 were modeled with new, detailed historical climate information. For
the period 1980-1993, results from an ensemble of three models agree within 25%,
simulating a land carbon sink from CO, and climate effects of 0.08 gigaton of
carbon per year. The best estimates of the total sink from inventory data are
about three times larger, suggesting that processes such as regrowth on
abandoned agricultural land or in forests harvested before 1980 have effects as
large as or larger than the direct effects of CO, and climate. The modeled sink
varies by about 100% from year to year as a result of climate variability.
Schimel and Melillo et al. 2000. Science. 287: 2004-2006.
Can 239+240Pu replace 137Cs
as an erosion tracer in agricultural landscapes contaminated with Chernobyl
fallout?
Schimmack W
GSF-National Research Center of Environment and Health, Institute for Radiation Protection, P.O. Box
1129, D-85758 Neuherberg, Germany
Auerswald K
Department of Soil Science, Technical University MuČnchen/Weihenstephan, D-85350 Freising, Germany
Bunzl K
GSF-National Research Center of Environment and Health, Institute for Radiation Protection, P.O. Box
1129, D-85758 Neuherberg, Germany
Abstract
Erosion studies often use Cs-137 from the global fallout (main period:
1953-1964) as a tracer in the soil. In many European countries, where Cs-137 was
deposited in considerable amounts also by the Chernobyl fallout in 1986, the
global fallout fraction (GF-Cs) has to be separated from the Chernobyl fraction
by means of the isotope Cs-134. In a few years, this will no longer be possible
due to the short half-life of Cs-134 (2 yr). Because GF-Cs in the soil can then
no longer be determined, the potential of using Pu239+240 as a tracer is
evaluated. This radionuclide originates in most European countries essentially
only from the global fallout. The activities and spatial distributions of Pu and
GF-Cs were compared in the soil of a steep field (inclination about 20%, area
ca. 3 ha, main soil type Dystric Eutrochrept), sampled at 48 nodes of a 25x25
m(2) grid. The reference values were determined at 12 points adjacent to the
field. Their validity was assured by an inventory study of radiocaesium in a 70
ha area surrounding the field sampling 275 nodes of a 50x50 m(2) grid. In the
field studied, the activity concentrations of GF-Cs and Pu in the Ap horizon
were not correlated (Spearman correlation coefficient R = 0.20, p > 0.05),
and the activity balance of Pu differed from that of GF-Cs. Whereas no net loss
of GF-Cs from the field was observed as compared to the reference site, Pu was
more mobile with an average loss of ca. 11% per unit area. In addition, the
spatial pattern of GF-Cs and Pu in the field differed significantly. The reason
may be that due to their different associations with soil constituents, Pu and
Cs represent different fractions of the soil, exhibiting different properties
with respect to erosion/deposition processes. This indicates that both
radionuclides or one of them may not be appropriate to quantify past erosion.
When tracer losses are used to calibrate or verify erosion prediction models,
systematic deviations may not only stem from model shortcomings but also from
tracer technique. Schimmack, W., K. Auerswald et al. 2001. J. Environ.
Radioactiv. 53: 41-57.
Author Keywords
erosion, plutonium, radiocaesium, Chernobyl fallout, global fallout
KeyWords Plus
spatial variability, sequential extraction, grassland soil, Cesium-137, Am-241,
association, Pu-239+240, radiocesium, limitations, plutonium
Yields of four 40-year-old conifers and aspen in adjacent stands
Bryce
E. Schlaegel
Southern
Forest Experiment Station, Stoneville, Mississippi
Volume
and dry-weight yield comparison of 40-year-old planted red pine ( Pinus Resinosa
Ait.), Jack pine (Pinus banksiana Lamb.), white spruce ( Picea glauca (Moench)
Voss), black spruce (Picea Mariana (Mill.) BSP), and a naturally regenerated
aspen (Populus tremuloides Michx) sucker stand show that red pine has the
highest yields and black spruce the lowest. Volume yields of aspen, jack pine,
and white Spruce are similar, but weight yields of white spruce are much less
that wight yields of either aspen or jack pine. It is recommended that yield
comparisons within and between species should be done on a weight as well as a
volume basis because large differences in densities can occur. Schlaegel
1975. Can. J. For. Res. 5: 278-280.
Michigan's
forests,1993: an analysis
Thomas
L. Schmidt, John S. Spencer Jr.
Forest
Inventory and Analysis Program at the North Central Forest Experiment Station,
St. Paul, Minnesota
Robin
Bertsch
Forest
Management Division of the Michigan Department of Natural Resources, Lansing,
Michigan
The fifth inventory of Michigan's forests reports 36.4 million acres of land, of which 19.3 million acres are forested. This bulletin presents an in-depth analysis of the forest resources and contains detailed tables of area, volume, growth, removals, mortality, and ownership. Schmidt and Spencer et al. USDA For. Serv. Res. Rep. NC-179. 101p.
Forest area, timber volume, growth, removals, mortality
A comparison of several artificial neural network classifiers for CT images of hardwood logs
US
Forest Service, Brooks Center, Virginia Tech, Blacksburg VA 24061-0503
Communication
Technology Group, COMSAT LAB, 22300 COMSAT Drive, Clarksburg MD 20871
Bradley
Department of Electrical Engineering, Virginia Tech, Blacksburg VA 24061-0111
Abstract
Knowledge
of internal log defects, obtained by scanning, is critical to efficiency
improvements for future hardwood sawmills. Nevertheless, before computed
tomography (CT) scanning can be applied in industrial operations, we need to
automatically interpret scan information so that it can provide the saw operator
with the information necessary to make proper sawing decisions. Our current
approach to automatically label features in CT images of hardwood logs
classifies each pixel individually using a back-propagation artificial neural
network (ANN) and feature vectors that include a small, local neighborhood of
pixels and the distance of the target pixel to the center of the log. Initially,
this ANN was able to classify clear wood, bark, decay, knots, and voids in CT
images of two species of oak with 95% pixel-wise accuracy. Recently we have
investigated other ANN classifiers, comparing 2-D versus 3-D neighborhoods and
species-dependent (single species) versus species-independent (multiple species)
classifiers using oak, yellow poplar, and cherry CT images. When considered
individually, the resulting species-dependent classifiers yield similar levels
of accuracy (96-98%). 3-D neighborhoods work better for multiple-species
classifiers and 2-D is better for single-species. Under certain conditions there
is no statistical difference in accuracy between single- and multiple-species
classifiers, suggesting that a multiple-species classifier can be applied
broadly with high accuracy. Schmoldt and He 1998. SPIE( the
international Society for Optical Engineering). 3306: 34-43.
industrial
inspection, segmentation, computed tomography, image analysis, wood processing,
lumber.
A Unified Approach to the Analysis
of Fish Growth, Maturity, and Survivorship Data
Jon T. Schnute,
Laura J. Richards
Department of Fisheries and Oceans, Biological Sciences Branch, Pacific
Biological Station, Nanaimo, B.C. V9R 5K6
This
paper presents an approach to the analysis of growth, maturity, and survivorship
data that unifies an extensive biometrics literature, particularly in fisheries
and forestry. The model involves a
probabilistic response y (0<y<1) to a positive
factor x (0 <x < infinity). Because
the relationship is asymptotic,
the model can also be interpreted as a descriptor of biological growth, in which the
asymptotic size is scaled
to 1. The model
generalizes earlier work by Gompertz, von Bertalanffy, Weibull, Richards,
Chapman, and Schnute; it also extends
the logit method introduced by Berkson. We identify reasonable curve families
for the model, in which a transform parameter associated with x or y determines the curve shape,
and we provide a complete analysis of
curve types. We describe
likelihood functions associated with two classes of data, typified by (1)
size-at-maturity data and (2)
time-mortality data. We
illustrate the model’s application to both data classes and show that it
provides a useful extension to past methods of analysis. Schnute and
Richards. 1989. Can. J. Fish. Aqua. Sci. 47: 24-40.
Data uncertainty, model ambiguity, and model identification
Jon
Schnute
Pacific
Biological Station Nanaimo, B.C. V9R 5K6 CANADA
Abstract
This
paper is based on a talk presented at the 1986 Resource Modeling Conference in
Newport, Oregon. It addresses the problem of resource model identification, that
is, the question: Which of various competing models correctly describes the
resource? A major theme of the paper is the proposition that data uncertainty
and model ambiguity are fundamentally intertwined. In some cases this
relationship can be proved rigorously; consequently, model ambiguity can be
inevitable. In other cases, promising identification techniques are suggested by
modern statistical theory, and the paper examines some of these in the context
of time series analysis. Throughout the paper, theoretical and practical
examples illustrate both limitations and possibilities for using resource models
as .valid descriptors of reality. Schnute 1987. Nat. Res. Modeling.
2: 159-212.
A general multivariate dose-response model
Jon
Schnute, J.O.T. Jensen
Department
of Fisheries and Oceans, Pacific Biological Station, Nanaimo, B.C. V9R 5K6
This
paper presents a general model for describing and predicting biological response
to environmental
factors, The theory embraces concepts and models used in earlier studies of the
effects of toxicity on fish, and it extends these ideas in several directions. It
can include an
arbitrary number of factors, either detrimental or beneficial to the organism. Also, its statistical
formulation allows (1 ) hypothesis
testing to determine
the relative importance of various factors and (2) calculation of critical
factor levels that (with prescribed confidence) assure a community response no worse than a specified level, Our
model is based on earlier work by Schnute and McKinnell, and, like theirs, its
parameters have biologically meaningful interpretations. Our discussion includes
an explanation of how the model relates specifically to
toxicity
studies. In a companion paper (Can. J. Fish. Aquat. Sci. 43: 1694-1 709), we use our model to investigate salmonid response to
gas
supersaturation and ancillary factors. Schnute and Jensen.
1986. Can. J. Fish. Aqua. Sci. 43: 1684-1693.
A biologically meaningful approach to response surface analysis
Jon
Schnute, Skip McKinnell
Pacific
Biological Station, Nanaimo, B.C.
V9R 5K6
Response
surface analysis is commonly used to summarize the results of a complex
biological experiment. The technique produces a quadratic function that relates
experimental conditions (factors) to biological response, where the quadratic
behavior allows for a possible
optimum. Typically, the variables in this function are transformed to give the
model greater flexibility. In fisheries literature, exponential transformations
(with exponents presumed unknown) have been widely applied.
Although properties of the quadratic model are well documented, the
surface features that result from exponential transformations are not.
Frequently, the practitioner obtains parameter estimates with widely varying
magnitudes and contour plots that exhibit strange and confusing distortions. The
parameters may bear no apparent relationship to the surface and, consequently,
may appear to be useless pieces of information. This paper defines new
parameters for the quadratic model with exponential transformations and
demonstrates precisely the role of each parameter in determining the shape of
the surface. The parameters have the added advantage that numerical methods to
estimate them perform efficiently, thus avoiding convergence problems sometimes
encountered in the past. Statistical error is discussed, analytically and
intuitively in terms of model parameters. Evidence i
s given that one of the
transformations may be wrong in fisheries applications, and a reasonable
alternative is proposed. Worked examples from historical literature illustrate
all aspects of the new approach and show how both quantitative and qualitative
errors can be avoided through biological understanding of the significance of
every parameter. Schnute and McKinnell. 1984. Can. J. Fish. Aqua.
Sci. 41: 936-953.
A new approach to estimating populations by the removal method
Jon
Schnute
Pacific
Biological Station Nanaimo, B.C. V9R 5K6 CANADA
This paper presents a new approach to the use of removal data in estimating the size of a population of fish or other animals. The theory admits a variety of assumptions on how catchability varies among fishings including the assumption of constant catchability, which underlies most previous work. The methods here hinge on maximum likelihood estimation. and they can be used both to decide objectively if the data justify rejecting constant catchability and to determine confidence intervals for the parameters. The work includes a new method of assigning confidence to the population estimate and points out problems with methods currently available in the literature, even in the case of constant catchability. The theory is applied both to data in historical literature and to more recent data from streams in New Brunswick, Canada. These examples demonstrate that the assumption of constant catchability can frequently lead to serious errors in data interpretation. In some cases, the conclusion that the population size is well known may be blatantly false and reasonable estimates may be impossible without further data. Schnute 1983. Can. J. Fish. Aqua. Sci. 40: 2153-2169.
Jon
Schnute
Pacific Biological Station, Nanaimo, B.C. V9R 5K6
This manual describes in detail how to solve
many practical problems encountered in nonlinear parameter estimation. In
addition, it presents software to aid the user with three tasks: (1) finding
optimal parameter estimates, (2) plotting observations and model predictions,
and (3) displaying graphically the variation in likelihood (or sum of squares)
when the parameters are varied from their optimal estimates. This software is
coded in BASIC for the Apple II microcomputer, and it is available on a suitable
5 Ľ” diskette. In many cases, the user can adapt the general software here to
his or her particular problem by adding just a few lines of BASIC code.
The simplex method of searching for a function minimum lies at the heart of the discussion here. This manual describes the method completely. Although a simplex search is know to be leas efficient of compute time than derivative-based methods, it has the considerable advantage of minimizing human time required for coding a particular problem. The manual places great emphasis on ease of program development, even at the expense of computer time. It also shows how to adjust the simplex methods for optimal efficiency and how to apply it in other contexts besides nonlinear estimation, the discussion through is illustrated with numerous examples from fisheries literature, although the methods have obvious application in many fields.
The broad purpose of this manual is to make the reader as comfortable with the process of nonlinear estimation as with the much simpler standard procedure of linear regression. Schnute 1982. Dept. of Fish. and Oceans Fish. Res. Br. Can. Tech. Rep. Fish. Aquat. Sci. Res. Rep. 1140.
Key
words
Parametric
models, parameter estimation, nonlinear estimation minimization, function
minimization, simplex search, microcomputers, Apple II microcomputer, BASIC,
likelihood, maximum likelihood, fisheries models
A versatile growth model with statistically stable parameters
Jon
Schnute
Department
of Fisheries and Oceans,
Resource Services Branch, Pacific Biological
Station, Nunaimo, B.C. V9R
5K6
This paper presents a new comprehensive growth model which includes numerous historical models as special cases. The new model is derived from a concise biological principle which, unlike earlier theories, relates to growth acceleration. Properties of growth curves, such as asymptotic limits or inflection points, are shown to be incidental in this new context. Possible submodels include not only asymptotic growth (such as von Bertalanffy, Richards, Gompertz, or logistic growth) but also linear, quadratic, or exponential growth. By simple analysis of variance, the observed data can be used directly in deciding which type of model is most appropriate. The new model is cast in terms of parameters which have stable statistical estimates. From this perspective, it is shown how earlier formulations sometimes result in an endless computer search for optimal parameter estimates. Schnute 1981. Can. J. Fish. Aqua. Sci. 38: 1128-1140.
A new approach to length-frequency analysis: growth structure
Jon Schnute, David
Fournier
Department
of Fisheries and Oceans, Resource Service Branch, Pacific Biological Station,
Nanaimo, B.C. V9R 5k6
Abstract
This
paper presents a new approach to length-frequency analysis which takes account of biological structure in
the mean lengths and standard deviations in length for various ages-classes of
fish. The new methods help determine biologically meaningful solutions, even
when earlier methods lead to an ambiguous set of competing solutions.
The structure of the standard deviations turns out to be especially important.
For describing the means, new parameters are defined for von Bertalanffy growth
which prove to have greater biological meaning and numerical stability than Linfinity.
K, and t0 these new parameters can often be
estimated easily from the raw data in cases where the species experiences
a slowing of growth with age. This paper also presents x2
methods which can be used
to rank competing solutions, although the results are not definitive. All
methods are illustrated using data previously published for pike and abalone. An
appendix describes in detail the computer programs required for the analysis. Schnute
and Fournier. 1980. Can. J. Fish. Aqua. Sci. 37: 1337-1351.
Key
words
length-frequency
analysis, aging of samples, von Bertalanffy
growth, growth, maximum
likelihood estimation, nonlinear estimation
The Simultaneous Determination of
Optimal Thinning Schedule and Rotation for an Even-Aged Forest
Gerard
F. Schreuder
Center
for Quantitative Sciences, University of Washington, Seattle 98105
A
model to determine simultaneously the optimal thinning schedule and rotation is
presented in two forms. If time is assumed to be continuous, the problem can be
formulated in the calculus of variation form. In this form no closed form solution has been obtained.
If the model is recast in dynamic programming form, a numeric solution can
easily be obtained, without imposing any limitations on the form of the relevant
revenue and cost functions. Thus the traditional Faustmann formula is
generalized considerably. At the same time the close connection between the
calculus of variations and dynamic programming is illustrated. Schreuder
1971. For. Sci. 17: 333-339.
Additional
key words
Dynamic
programming, rotation, stand density, stand growth, costs and returns.
Understanding
the efficiency of model-dependant procedures with the weighted regression
estimator
Hans T. Schreuder, Zhao Ouyang, H.G. Li
Rocky Mountain Forest and Range Experiment Station, USDA Forest Service, Fort Collins, Colorado, Colorado State University, For Collins, Colorado
Eight sampling strategies using the weighted regression estimator were studied to understand why one sampling design may be more efficient than another. The results did not produce any easy explanation. A design that minimizes part of the expected mean square error is very inefficient on another part of the expected mean square error. For example, psR is, respectively, the least and most efficient on the two parts of the expected mean square error but least efficient overa1l. The extremes method is most efficient on one part, average on the other, and clearly best overall in terms of expected mean square error. Although a clear understanding is still lacking as t o why one method is more efficient than another, this exercise has been quite fruitful in suggesting promising new sampling designs.
The jackknife - a useful
statistical tool
Hans T. Schreuder, G.E. Brink
Rocky Mountain Forest and Range Experiment Station, USDA Forest Service, 240 West Prospect, Fort Collins, CO 80526 (U.S.A.)
Abstract
The Jackknife technique is a statistical approach for distribution-free bias reduction and standard error estimation. The most popular version of the technique is described and illustrated, and potential areas of application are indicated. The technique is primarily useful to estimate standard errors for complex sampling strategies where no good standard error estimates can be computed, and to decrease estimation bias in situations where for the complex sampling strategies now being developed by the forest survey units for updating timber estimates. Schreuder and Brink 1992. Timber MGT. 531-535. 1992
Volume estimation by diameter
class using bootstrap variance analysis
Hans T. Schreuder, G.E. Brink
Rocky Mountain Forest and Range Experiment Station, USDA Forest Service, 240 West Prospect, Fort Collins, CO 80526 (U.S.A.)
Abstract
Bootstrap estimation is used to provide standard errors of estimates for volume by diameter class in a test data set of the IVth Dutch Forest Survey. Such standard errors of estimates cannot currently be obtained by classical methods. Schreder and Brink 1987. For. Ecol. Manage. 20: 189-194. 1987
Alternative estimators for
Point-Poisson sampling
Hans T. Schreuder, G.E. Brink
Rocky Mountain Forest and Range Experiment Station, USDA Forest Service, 240 West Prospect, Fort Collins, CO 80526 (U.S.A.)
R. L. Wilson
Regional Timber Office, Container Corporation of America, P.O. Box T, Fernanaidan Beach, FL 32034
Abstract
A new Jackknife-based variance estimate is derived for point-Poisson (point-3P) sampling. This variance estimate is shown to be superior to most estimates derived assuming point-pps with or without replacement sampling, for a population with a very strong linear relationship between the variable of interest and the covariate used for sample selection and estimation. Only a variance estimate suggested by L. Grosenbaugh is equally good. This variance estimate is recommended since it is simplest to computed. Both the standard point- Poisson and a proposed unbiased Jackknife estimate of total volume are about equally efficient. Schreuder, Brink et al. 1984. For. Sci. 30: 803-812. 1984
Additional key words
Jackknife, Raj estimator, negative variance estimates, pps with and without replacement, 3p
Yield prediction for
unthinned natural slash pine stands
H.T. Schreuder
Southeastern Forest Experiment Station, U.S. Forest Service, Research Triangle Park, North Carolina
W.L. Hafley
School of Forest Resources, North Carolina State University, Raleigh, North Carolina
F.A. Bennett
Abstract
Equations are presented for predicting number of trees, mean height, and total volume outside bark by diameter class when stand age (A), site index (SI), and current number of trees per hectare (N) are known in unthinned natural stands of slash pine. The Weibull distribution was fitted to diameter frequency data, then suitable height-diameter and volume-D2H models were developed to calculate the Weibull parameters for the distributions of height and volume. Parameters for diameter and height distributions can be predicted form A, SI, and N and these equations are incorporated with the volume- D2H model in a computer program that generates a diameter frequency distribution, mean height, and total volume per acre or hectare by diameter class. Schreuder, Hafley et al. 1979. For. Sci. 25: 25-30.
Additional key words
Weibull distribution, functional models, diameter distribution, height distribution, volume distribution
A
Useful Bivariate Distribution
for Describing Stand Structure of
Tree Heights and
Diameters
Hans
T. Schreuder
USDA Forest Service, Southeastern
Forest Experiment Station, Forestry Sciences Laboratory, Research Triangle Park,
North Carolina 21109, U.S.A
W.
L. Hafley
School of Forest Resources, North
Carolina State University, Raleigh, North Carolina 27607,
U.S.A
Abstract
Hafley and Schreuder (1977) have shown that the marginal SB distribution fits diameter and height data consistently better than the Weibull, beta, gamma, lognormal, and normal distributions. The bivariate extension of the SB distribution, the SBB is both more realistic and provides more usable information than the currently accepted approach in describing even-aged forest stand height-diameter data. The SBB allows for the generation of bivariate frequencies for diameter and height whereas the current approach only provides marginal frequencies /or diameter. In addition, the SBB implies a new height-diameter relationship which is comparable in fit to the most commonly used height-diameter regression model. Application of the SBB to two data sets is presented. Schreuder and Hafley. 1977. Biometrics. 33: 471-478.
Coniferous stand characterized with the Weibull distribution
Hans
T. Schreuder, Wayne T. Swank
USDA
Forest Service, southeastern Forest Experiment Station, Asheville, North
Carolina 28802
The Weibull distribution F (x)=1-exp[-(x/a)c], summarized diameter, basal area, surface area, biomass, and crown profile distribution data well for several different ages of white and loblolly pine plantations. The data for diameter, basal area, surface area, and biomass were easily summarized by this one distribution in a theoretically consistent fashion. This is not possible with the normal and the gamma distribution, and the lognormal gives less satisfactory results. The distribution function should prove useful in the above variables. The change in these parameters may be a good way to characterize and interpret changes in stands over time. Schreuder and Swank. 1974. Can. J. For. Res. 4: 518-523.
An age-independent basal area increment model for maritime pine trees in northwestern Spain
Jorg
Schroder
Institut fur forsteinrichtung und Ertragskunde,
Georg-August-Universitat Gottingen, Busgenweg 5, 37077 Gottingen, Germany
Roque
Rodriquez Soalleiro
Escuela Politecnica Superior de Lugo, Universidad de
Santiago de Compostela, Campus Universitario, 27002 Lugo, Spain
Guillermo
Vega Alonso
Xunta de Galicia, Delegacion Provicidal de Medio Ambiente,
Calle Benito Corbal 47, 36071 Pontevedra, Spain
Abstract
An individual tree basal area increment model for pure stands of maritime pine
(Pinus pinaster Ait.) is presented. The data used to fit the model were
collected from 67 temporary 0.05 ha plots installed in regularly stocked, even-
and uneven-aged stands located in Galicia (northwestern Spain). Explanatory
variables used to predict the basal area increment are breast-height diameter
outside bark, a diameter-squared term, a distance-independent competition index,
crown spread ratio, and effective soil depth. Age and site index are
intentionally omitted to obtain generality for a wide range of even- and
uneven-aged stand conditions. The resulting model explains more than 78% of the
total growth variation, corresponds to current hypotheses about tree growth, and
is expected to provide reliable site-specific predictions for most of the pure
maritime pine stands found in the study area. Schroder and Salleiro et al.
2002. For. Ecol. Manage. 157: 55-64.
Author
Keywords
Pinus pinaster Ait., simulation, growth modeling, basal area increment
Key
Words Plus
growth-model, individual trees, stands, yield, forests
Gibbs random field models: a toolbox for spatial information extraction
Swiss Federal Institute of Technology ETH Zurich, Communication Technology Laboratory, Gloriastr. 35, Ch-8092, Zurich, Switzerland
German
Aerospace Center DLR, German Remote Sensing Data Center DFD, Oberpfaffenhofen,
D-82234, Webting, Germany
Swiss
Federal Institute of Technology ETH Zurich, Communication Technology Laboratory,
Gloriastr. 35, Ch-8092, Zurich, Switzerland
Swiss
Federal Institute of Technology ETH Zurich, Communication Technology Laboratory,
Gloriastr. 35, Ch-8092, Zurich, Switzerland
German
Aerospace Center DLR, German Remote Sensing Data Center DFD, Oberpfaffenhofen,
D-82234, WeBting, Germany
Abstract
In this paper, we present Gibbs random field models in the form of a powerful
toolbox for spatial information extraction from remote sensing images. These
models are defined via parametrised energy functions that characterise local
interactions between neighbouring pixels. After shortly revisiting the
information theoretical concept and defining a family of Gibbs models, we give a
tour through examples of different kinds of spatial information extraction.
These examples range from parameter estimation and analysis, via selection of
the model that best describes the image data, up to the segmentation of the
whole image into regions with uniform properties of the model. Finally, the
concept of across-image segmentation of spatial information leads to an
application for content-based queries from remote sensing image archives.
Schroder and Walessa et al. 2000. Comput. Geosci. 26: 423-432.
Author
Keywords
remote sensing, image processing, image segmentation
Key
Words Plus
remote-sensing images, markov random-fields, texture segmentation, retrieval
David
Schroeder,
Ajith H. Perera
Forest
Landscape Ecology Program, Ontario Forest Research Institute, Ontario Ministry
of Natural Resources, 1235 Queen St. E., Sault Sainte Marie, Ont., Canada P6A
2E5
Abstract
The role of wildfires as the most significant source of disturbance in boreal
forests has been equaled by clearcuts during the past five decades.
Post-disturbance revegetation patterns are important because they have a direct
influence on many ecological processes. However, the knowledge of
post-disturbance changes in spatial patterns of forest cover is scarce,
especially at large scales.
We examined spatial patterns of forest cover
in a four decade series of post-fire and post-clearcut landscapes in boreal
Canada. A suite of indices was used to quantify spatial patterns of
post-disturbance vegetation, based on Landsat TM imagery, and edaphic
conditions. Indices were grouped in terms of patch geometry, contagion and
composition. We used a general linear model to compare the effects of
disturbance type, time since disturbance, edaphic conditions, and their
interactions on these indices.
Clearcuts produced more heterogeneous landscapes after disturbances in comparison to fires. Time since disturbance also had a significant effect on spatial patterns of vegetation: the older disturbances had more landcover types with higher interspersion. Edaphic conditions also significantly affected spatial patterns of vegetation. Landscapes with complex spatial patterns of edaphic conditions also had complex spatial patterns of vegetation. (C) 2002 Elsevier Science B.V. All rights reserved. Schroeder and Perera. 2002. For. Ecol. Manage. 159: 217-230.
Author
Keywords
boreal forests, spatial vegetation patterns, fire, clearcut
Key
Words Plus
landscape, disturbance, succession, simulation, wildfire, regimes, river
Loblolly
pine - the ecology and culture of loblolly pine (Pinus taeda l.)
U.S.
Department of Agriculture Forest Service Southern Forest Experiment Station New
Orleans, Louisiana
Loblolly pine ranks as a highly valuable tree for its pulp, paper, and lumber products. In the South, loblolly is planted more than any other conifer. Loblolly Pine: The Ecology and Culture of Loblolly Pine (Pinus taeda L.) adds to the technical foundations laid by Ashe (1915) and Wahlenberg (1960). Agriculture Handbook 713 encompasses genetics, tree improvement, field inventory and analysis, and international forestry, as well as ecology, direct seeding, and planting.Loblolly Pine: The Ecology and Culture of Loblolly Pine (Pinus taeda L.) highlights individual tree, stand, and land management alternatives useful to resource managers, students, researchers, and others. Schultz 1997. USDA For. Serv. Souther FES. Agric. Handb. 713. 514p.
A
computer program to evaluate timber production investments under uncertainty
Pacific Northwest Forest & Range Experiment Station, Portland
A
computer program has
been written in Fortran
IV to
calculate probability distributions of
present worths of
investments in timber
production. Inputs can include both
point and probabilistic
estimates of future
costs, prices, and yields. Distributions of
rates of return
can also
be constructed. Schweitzer
1968. USDA For. Serv. No. Cent. For. Exp. Sta. Res. Note. NC-65.
Forest
inventory and
analysis needs for
a growth processor
Charles T.
Scott
USDA
Forest Service, Northeastern Forest Experiment Station, 370 Reed Road, Broomall,
PA, 19008
Jerold
T. Hahn
North
Central Forest Experiment, 1992 Folwell Avenue, St. Paul, MN, 55108
Colin
D. MacLean
Pacific
Northwest Forest and Range Experiment Station, P.O. Box, Portland, OR, 97208,
USA
The Forest Inventory and Analysis units at the experiment stations within the USDA Forest Service conduct periodic surveys of the forest lands of the United States. The FIA units must then project the forest resource; they must have appropriate growth projection modelling systems for all species and stand conditions. Currently, no such system or collection of systems exists that covers the full range of conditions encountered. The growth processor should be applicable at the state or regional level and at the individual stand level. The growth processor also should be an individual- tree , distance-independent system containing several subsystems including growth, mortality , removals, regeneration, and non-tree vegetation.
Derivation of a competitive index for individual trees from seasonal growth patterns
Frederick
W. Smith
Department
of Forest
and Wood Sciences, Colorado State University, Fort Collins, CO, U.S.A 80523
David
R. M.
Scott
College
of Forest
Resources, University of Washington,
Seattle, WA, U.S.A. 98105
A
competitive index for lodgepole pine (Pinus
contorta Dougl.) trees in
central Oregon is developed from seasonal basal area growth and an indirect
estimator of foliar leaf area. Differences in seasonal basal area growth and the
ratio of basal area growth to sapwood basal area between trees with and without
neighbors are used to document growth reductions owing to
the proximity of competing individuals. A regression between basal
area growth and sapwood basal area (an estimator of leaf area) is used as a
predictor of maximum potential basal area growth for trees growing free of
competition. The competitive index is determined as the ratio of actual to
potential basal area growth for individual trees. This index standardizes growth
against differences in tree size and site conditions. Plant and soil water
relations are considered as possible mechanisms of competitive interaction.
Moderate minimum seasonal values of predawn leaf pressure potentials (- 0.76 to
-0.92 MPa) and minor differences between trees in different competitive classes
led to the conclusion that soil water may not be the primary mechanism of
competition on this site. Smith and Scott. 1984. Can. J. For. Res.
14: 266-270.
A
Data Structure Analogue for Modelling Tree Crowns
Stephen
Smith,
K. Scoullar
Faculty
of Forestry, University of British Columbia, Vancouver, British Columbia
A rooted-tree computer data structure is used as an analogue of coniferous tree crowns in building a simulation model of a single tree. Submodels of branch death and the allocation of stored reserves are used to illustrate the model. The programming language used is PL/I. Smith and Scoullar. 1975. Can. J. For. Res. 5: 574-579.
A
consistent system of equations for tree and stand volume
Mahadev Sharma, Richard
G. Oderwald, Ralph L. Amateis
Department
of Forestry, Virginia Tech, Blacksburg, VA 24061, USA
Abstract
A system of equations for tree and stand volume was derived using dimensional
analysis techniques. The equations are analytically compatible and numerically
consistent. Two parameters define the entire system, which can be estimated by
fitting the tree taper and volume equations or by fitting the stand level
equations. Data from a thinning study in loblolly pine (Pinus taeda L.)
plantations established on cutover site-prepared lands were used to test the
utility of the system. The equations are general and can be applied to other
tree species in other locales. (C) 2002 Elsevier Science B.V. All rights
reserved. Sharma and Oderwald et al. 2002. For. Ecol. Manage. 165:
183-191.
Author
Keywords
nonlinear least squares regression, mathematically/algebraically consistent,
quadratic mean diameter, lorey mean height, dimensional analysis, loblolly pine,
Pinus taeda
Key
Words Plus
compatible volume, models, taper
Stem
Analysis of Jack
Pine (Pinus Banksiana, Lamb.):
Techniques
and Concepts
S.
R. Shea,
K. A. Armson
Faculty
of Forestry, University of Toronto, Toronto, Ontario
Detailed stem analysis data are presented for 6 trees which ranged in age from 44 to 68 years and grew on a range of soils which varied primarily in soil texture. The use of measures of specific growth such as current annual height increment, Type 3 ring width sequences and specific volume increment is discussed in relation to supply of raw materials to the tree. The change in form of tree crown, as reflected by Type 1 ring width sequences is related to the other measures of specific growth. The use of selected parameters of tree growth in relation to tree development and its possible application in silviculture is discussed. Shea and Armson. 1972. Can. J. For. Res. 2: 392-406.
Forest
statistics for southwest Georgia, 1996
Raymond
M. Sheffield, Michael T. Thompson
Forest
Inventory and Analysis group, Southern Research Station, U.S. Department of
Agriculture, Forest Service, Asheville, NC.
Abstract
This
report highlights the principal findings of the seventh forest survey of
Southwest Georgia. Field work began in June 1995 and was completed in November
1995. Six previous surveys, completed in 1934, 1951, 1960, 1971, 1981, and 1988
provide statistics for measuring changes and trends over the past 62 years. This
report primarily emphasizes the changes and trends since 1988. Periodic surveys
of forest resources are authorized by the Forest and Rangeland Renewable
Resources Research Act of 1978. These surveys are a continuing, nationwide
undertaking by the Regional Experiment Stations of the U.S. Department of
Agriculture, Forest Service. In the Southern United States, these surveys are
conducted by the Forest Inventory and Analysis (FIA) Research Work Unit at the
Southern Research Station, Asheville, NC. The FIA unit operates out of two
locations, one in Starkville, MS, and the other in Asheville, NC, and is
responsible for inventories of 13 Southern States and the Commonwealth of Puerto
Rico. The primary objective of these surveys is to periodically inventory and
evaluate all forest and related resources. These multiresource data help provide
a basis for formulating forest policies and programs and for the orderly
development and use of the resources. This report discusses the extent and
condition of forest land, associated timber volumes, and rates of timber growth,
mortality, and removals. Sheffield and Thompson. 1997. USDA For. Serv.
Res. Pap. SRS-12. 68p.
Growth
projection systems
in forest management
J. Harry G. Smith
Forest Resources Management, Faculty of
Forestry, University of British Columbia Vancouver, B.C., V6T 1W5
Abstract
Results
of review of the variable density growth projection system of the Inventory
Branch of the Ministry of Forests are summarized. Information and methods needed
to improve protection and silviculture and to make better estimates of growth
and yield for management are reviewed. Needs for new operationally sound methods
are outlined for three neglected areas of management. It is concluded that
existing inventory branch methods represent existing stands adequately and now
can provide useful simulation estimates of future forest conditions. However
much more effort should be devoted to estimating future development of very
young stands, to classifying relative growth of young, mature and overmature
stands and to developing better regression methods for estimating trends in
stocking and density. Smith and Vissage et al. 1984. Forest. For. Chron.
60: 150-156.
Forest
resources of the United States, 1997
W. Brad Smith
Science, Policy, Information, and
Inventory Staff, Washington Office, U.S. Department of Agriculture, Forest
Service, Washington, DC.
John L. Vissage
Forest Inventory and Analysis Unit,
North Central Research Station, U.S. Department of Agriculture, Forest Service,
St. Paul, MN.
David R. Darr
Resource Valuation and Use Staff.
Washington Office, U.S. Department of Agriculture, Forest Service, Washington,
DC
Raymond Sheffield
Resource Analysis Unit, Southern
Research Station, U.S. Department of Agriculture, Forest Service, Asheville, NC
Forest resource statistics from the 1987 Resources Planning Act (RPA) Assessment were updated to 1997 to provide current information on the Nation`s forests. Resource tables present estimates of forest area, volume, mortality, growth, removals, and timber products output in various ways, such as by ownership, region, or State. Current resource data are analyzed and trends since 1987 are noted. Resource trends are placed within the context of changes in the timber resources since 1953. A fold-out forest type map produced from satellite imagery provides a visual display of the location of forest land. Smith and Vissage et al. 2001. USDA For. Serv. Gen. Tech. Rep. NC-219.
RPA, assessment, inventory, forest statistics, area, volume, forest history, AVHRR, map.
USDA Forest
Service, Southern Research Station, Monticello, AR 71656-3516
Growth was monitored for 4 years in a thinned stand in southern Arkansas with three pine basal areas (70, 85, and 100 ft2/ac) and three hardwood basal areas (0, 15, and 30 ft2/ac); pretreatment basal areas averaged 119 and 33 ft2/ac for pines and hardwoods, respectively. Treatments were arranged in a 3 x 3 factorial randomized complete block design with three replicates, yielding 27 permanent 0.20 acre plots. Growth variables were regressed with residual pine and hardwood basal areas. Pine basal area and volume growth increased with the pine stocking level after thinning and decreased with the level of retained hardwoods. For basal area and merchantable volume, hardwood growth largely compensated for losses in the pine component, and thus, hardwood retention had little net effect on the total growth of the stand. The greatest impact of hardwood retention was on the stand's sawtimber growth, because hardwoods did not contribute to this product class. Each 1 ft2/ac of retained hardwood basal area reduced pine sawtimber growth by 6 to 10 bd ft (Doyle/ac/yr, depending on the pine stocking. Because large differences existed in the value of timber products, retaining 15 and 30 ft2/ac of hardwoods reduced the value of' timber production by 13 and 24 percent, respectively, at 4 years after thinning. Shelton and Murphy. 1997. South. J. Appl. For. 21: 168-174.
Fertilization fails to increase diameter growth of sawlog-size northern hardwoods in upper Michigan
Douglas M. Stone
North Forest Experiment Station Bedford
Indiana
Stephen G. Shetron
Ford Forestry Center Michigan
Technological University
James Peryam
Lake States woodlands Division American
Compary, Amasa, Michigan
Abstract
Five hundred individual, sawlog-size crop trees in a selectively managed northern hardwood stand were fertilized with 2.61 kg (5.75 lbs) of N-P-K fertilizer per tree in June 1970. The stand is predominantly sugar maple (Acer saccharum Marsh.) growing on a deep silt loam soil of good site quality. Three- and six-year diameter at breast height (dbh) and basal area growth were analyzed by treatment and diameter class. Fertilization did not increase dbh or basal area growth during either measurement period. Mean annual dbh growth of both fertilized and control trees was 0.41 cm (0.16 in.); trees in all diameter classes grew at essentially the same rate. Nearly half of the study trees grew 2.54 cm (1.0 in.) or more during the 6-year period, and fertilization did not change this proportion. Natural supplies of nutrients in good hardwood soils appear adequate for rapid growth of these species. Periodic cuttings maintain superior growth rates and contributes to efficient nutrient cycling. Fertilization is not recommended on sites like this because growth responses are not likely to justify costs. Stone and Shetron et al. 1982. For. Chron. 58: 207-210.
Quick estimation of the three-parameter Weibull to describe tree size distributions
North Centrl Forest Experiment Station, 1992 Folwell Avenue, St. Paul, MN 55108
The
method of
moments
is an alternative to the maximum likelihood method of estimating values of
Weibull density function parameters that describe the size distribution of
trees.
In contrast to
maximum
likelihood estimation, the method of moments can be applied when only the mean
and variance of tree sizes in a sample are known. With the aid of the special
tables presented, method of
moments
computations to estimate Weibull scale and shape parameters can be quickly
carried out by hand. The ratio of the sample mean
over
the standard deviation is shown to be a simple index to the shape of the
associated Weibull density function. Equations used in solving for Weibull
parameters by the
method
of moments provide a direct link between parameter prediction models and
parameter recovery models based on the Weibull density function. Shifley
and Lentz. 1985. For. Ecol. Manage. 13: 195-203.
Determination of spatial continuity
of soil lead levels in an urban residential neighborhood
Nita J. Shinn, John
Bing-Canar, Michael Cailas
School
of Public Health, University of Illinois at Chicago, Chicago, Illinois
Public
Health & Safety, Inc., Chicago, Illinois
Children’s
Memorial Hospital, Northwestern University, Chicago, Illinois
Abstract
This study uses geostatistical techniques to model and estimate soil lead levels
in an urban, residential neighborhood. Sixty-two composite soil samples (median
1773 ppm; range 175 to 7953 ppm) in a four-block area of brick and stone homes
were obtained. The spatial continuity of soil lead levels was modeled with a
semi-variogram, which was then used to estimate lead levels at unsampled
locations, a process called kriging. Because soil lead levels were spatially
correlated, it is likely that a "nonrandom" process generated the lead
distribution found. This finding signifies the existence of lead sources which
were tentatively identified on historical maps of the area and from past traffic
volume patterns. The distribution of kriged estimates of soil lead levels
provides an explanatory tool for exploring and identifying potential sources and
mag be useful for targeting urban soil abatement efforts. Shinn and
Bing-canar et al. 2000. Environmental Research Section A. 82: 46-52.
Author
Keywords
soil, lead, mapping, geostatistics, urban
Key
Words Plus
blood lead, children, smelter, exposure, plants
Sample
Sizes and Estimation Methods for the Weibull Distribution for Unthinned Slash
Pine Plantation Diameter Distributions
Barry D. Shiver
School of Forest Resources, University of Georgia, Athens, Georgia 30602.
Abstract
Three
methods were evaluated over four sample sizes for prediction of diameter
distributions in unthinned site prepared slash pine plantations. Maximum
likelihood estimation provided the best estimates of known distribution
parameters. Under the likely assumption that there are no specific underlying parameters, both
modified moments estimation and a percentile estimator reproduce the underlying
distribution of diameters as well or better than maximum likelihood estimation. All
three methods require approximately 50 tree samples to reproduce distributions into
classes
with less than 10% error in
any
class. Shiver 1988. For. Sci. 34: 809-814.
Additional
Key Words
Parameter
estimation, probability density function, Pinus elliottii
Determination of stand properties in boreal and temperate forests using high-resolution imagery
Herman H.
Shugart
Department
of Environmental Sciences, University of Virginia, Charlottesville, VA 22901
ERIM
International Inc., P.O. Box 134008, Ann Arbor, MI 48113-4008
ERIM
International Inc., P.O. Box 134008, Ann Arbor, MI 48113-4008.
Abstract
The existence of a relatively long (ca. 40 yr) satellite imagery archive for
examination of potential worldwide forest change motivated an inspection of the
relation between forest features observable from higher resolution airborne and
satellite imagery and measures of forest biomass, height, and age. Using these
data, we inspected the relation between stand age, mean diameter, height, and
standing aboveground biomass for forest stands located in boreal forest (near
Fairbanks, Alaska) and temperate forest (near Durham, North Carolina). The
features of a spatial statistic, semivariance, prove to be related to the
structure, age, and biomass patterns of these forests. These initial results
indicate the feasibility of using appropriately calibrated high-resolution
satellite imagery to estimate and monitor aboveground carbon reserves of
forests. Shugart and LauraBourgeau_et al. 2000. For. Sci. 46: 478-486.
Author
Keywords
semivariance, Alaska, North Carolina, remote sensing, biomass
Key
Words Plus
climate change, biomass
Site
quality estimation using height and diameter
Benjamin B. Stout
School of Forestry, University of Montana, Missoula MT 59812
Concrete, WA 98237
A method for estimating site quality using height and diameter of dominant and codominant trees independent of tree age is examined. Eastern hardwoods are the test species. Two parameters define the H-D site curves: a site parameter and a species parameter. The estimated site parameters increase with increasing site index and are significantly different between site classes. The estimated species parameters are species specific and are not significantly different between site classes. Curves for estimating site class are presented. Some species reach a higher proportion of total height at a given diameter. The effects of these apparent height growth patterns are discussed from a silvicultural viewpoint. Stout and Shumway. 1982. For. Sci. 28: 639-645.
Site index, hardwoods
Process-based models and
forest management
Risto Sievanen
Department of Mathematics, The Finnish Forest Research Institute Unioninkatu 40 A, 00170 Helsinki Finland
Thomas E. Burk
Department of Forest Resources, University of Minnesota 1530 N Cleveland Avenue, St. Paul, MN 55108 USA
Abstract
The application of process-based (PB) growth models in forest management has been quite limited so far. However, In principle these models have the potential for being highly applicable in solving various forest management problems. Before this potential can be realized, the models have to meet the special requirements arising form the intended application. In this paper the capabilities of PB models to meet these requirements is studied. Sievanen and Burk. Dept. Math. Fin. For. Res. Ins. & Dept. For. Res., Univ. Minn.
Construction of a stand
growth model utilizing photosynthesis and respiration relationships in
individual trees
Risto Sievanen
Department of Mathematics, The Finnish Forest Research Institute Unioninkatu 40 A, 00170 Helsinki Finland
Thomas E. Burk, Alan R. EK
Department of Forest Resources, University of Minnesta 1530 N Cleveland Avenue, St. Paul, MN 55108 USA
Abstract
A discrete growth model for an individual tree in a forest stand is presented. The model is based on simplified photosynthesis and respiration relationships. Implementation of the model also requires functions for change in live crown ratio and stems per unit area. Tree growth predictions are expressed in terms of biomass and basal area. A preliminary evaluation of the model is made using data from the literature on the growth of even-aged stands of red pine (Pinus resinosa Ait.). The model produced both short- and long-term trends consistent with stand growth data. The evaluation suggests further possibilities for model component refinement. Sievanen, Burk et al.1988. Can. J. For. Res. 18: 1027-1035. 1988.
Parameter
estimation in a photosynthesis-based
growth model
The
Finnish Forest Research Institute, Department of Mathematics, Unioninkatu 40 A,
00170 Hlesinki, Finland
Thomas
E. Burk, Alan R. Ek
Department
of Forest Resources, University of Minnesota, 1530 North Cleveland Avenue, St.
Paul, MN 55108
Abstract
A
growth model for an individual tree in a
forest stand based on photosynthesis and respiration relationships is
briefly described. Individual tree growth data (six measurements of diameter) of
red pine (Pinus resinosa Ait.) stands are used to estimate a subset of the
parameters in the model using a globally, simultaneous approach. The loss
function is composed of prediction
errors for individual trees at the times of measurement
and is a nonlinear function of the parameters. Estimates for parameters are
compared with values found in the literature. Estimation suggests ways the
structure of the model should be changed. Use of alternative loss
function definitions provides insight into model component stability.
A comparison of two parameter prediction methods for stand structure in Finland
Jouni Siipilehto
Finnish Forest Research Institute/Vantaa Research Centre, P.O. Box 18, FIN-01301 Vantaa, Finland
Abstract
The objective of this paper was to predict a model for describing stand
structure of tree heights (h) and diameters at breast height (dbh). The research
material consisted of data collected from 64 stands of Norway spruce (Picea
abies Karst.) and 91 stands of Scots Dine (Pinus sylvestris L.) located in
southern Finland. Both stand types contained birch (Betula pendula Roth and B.
pubescent Ehrh.) admixtures. The traditional univariate approach (Model I) of
using the dbh distribution (Johnson's S-B) together with a height curve (Naslund's
function) was compared against, the bivariate approaches, Johnson's S-BB
distribution (Model II) and Model I-epsilon. In Model I-epsilon within-dbh-class
h-variation was included by transforming a normally distributed homogenous error
of linearized Naslund's function to concern real heights. Basal-area-weighted
distributions were estimated using the maximum likelihood (ML) method.
Species-specific prediction models were derived using linear regression
analysis. The models were compared with Kolmogorov-Smirnov tests for marginal
distributions, accuracy of stand variables and the dbh-h relationship of
individual trees. The differences in the stand characteristics between the
models were marginal. Model I gave a slightly better fit for spruce, but Model
II was better for pine stands. The univariate Model I resulted in clearly too
narrow marginal h-distribution for pine. It is recommended applying of a
constrained ML method for reasonable dbh-h relationship instead of using a pure
ML method when fitting the S-BB model.
Author
Keywords
parameter prediction, dbh and height distribution, Johnson's S-BB distribution,
Naslund's height curve, Picea abies, Pinus sylvestris
Key
Words Plus
diameter distributions, bivariate distribution, heights
Bela Sivak
Forest Research Branch Alberta Forest Service
The
ongoing forest site classification program of the Forest Research Branch, AFS, identifies forest
sites (Plant Associations) for operational
use based on plant-available moisture and nutrients, within zones homogeneous in
terms of climate, vegetation and soil features. The levels o
f moisture and nutrients for
each site are
determined on the basis of measured site factors including features of
climate, soils, landforms, and
vegetation. This ecosystem
approach and its emphasis on plant-available
moisture and nutrients provides a suitable framework to manage and use forest
ecosystems according to their capability. Sivak 1988.
Annemieke Smit
Department of Physical Geography and Soil Science, University of
Amsterdam, The Netherlands Centre for Geo-Ecological Research, Nieuwe
Prinsengracht 130, 1018 VZ Amsterdam, Netherlands
Abstract
Grazing is often used in management of grass-encroached Scots pine (Pinus
sylvestris) forests in The Netherlands, because it is thought to increase
diversity of vegetation and humus profiles. To test this hypothesis, two 1 ha
plots in a primary pine stand on drift sand were grazed for 7 years at high and
moderate intensities. The humus profiles of these two sites and of a control
site were sampled at various scales to assess changes in grass biomass,
thickness of ectorganic horizons, organic matter stocks, root stocks, and pH.
Whether grazed or not, site factors such as slope angle and aspect, distance to
trees and parent material did not explain the spatial variability of the plots.
Spatial variability could be linked to the tussock structure of the grass layer.
With continued grazing, ectorganic horizons became more compact (particularly
the F horizon), stocks of organic matter increased, grass biomass decreased,
variances tended to decrease and ranges tended to increase. These results
suggest that at the landscape scale, where much variation in grazing intensity
can be expected, spatial variability of humus profile properties and thus site
diversity will increase. However, grazing intensities in the experiment were far
greater than those normally employed in management of grass-encroached forests.
Therefore grazing will scarcely affect site diversity, unless grazing
variability is enhanced by special treatments, such as temporary fencing to
create locally high grazing intensities. Smit, 1999. Catena. 36:
85-98.
Author
Keywords
spatial variability, humus form, grazing, organic matter, sampling strategy
Key
Words Plus
forest
floor, soil
Derivation of a competitive index for individual trees from seasonal growth patterns
Frederich
W. Smith
Department
of Forest and Wood Sciences, Colorado State University, Fort Collins, CO, USA
80523
College of Forest Resources, University Washington, Seattle, WA, USA 98105
A competitive index for lodgepole pine (Pinus Contorta Dougl.) trees in central Oregon is developed from seasonal basal area growth and an indirect estimator of foliar leaf area. Differences in seasonal basal area growth and the ratio of basal area growth to sapwood basal area between trees with and without neighbors are used to document growth reductions owing to the proximity of competing individuals. A regression between basal area growth and sapwood basal area (an estimator of leaf area) is used as a predictor of maximum potential basal area growth for individual trees. This index standardizes growth against differences in tree size and site conditions. Plant and soil water relations are considered as possible mechanisms of competitive interaction. Moderate minimum seasonal values of predawn leaf pressure potentials (-0.76 to –0.92 MPa) and minor differences between trees in different competitive classes led to the conclusion that soil water may not be the primary mechanism of competition on this site. Smith and Scott. 1984. Can. J. For. Res. 14: 266-270.
Climate Change and Carbon Pools in a
Semi-Arid Ecosystem
USDA-Agricultural Research Service, 215 Johnson Hall, Washington State University, Pullman, WA, 99164-6421, USA
Harvey
Bolton Jr.
Environmental
Microbiology Group, Pacific Northwest National Laboratory, Mailstop K4-06, 900
Battelle Blvd., Richland WA 99352, USA
Abstract
We investigated the effects of climate on C fractionation and storage over a 500m elevation transect. The transect parent material, loess, was deposited at the same time, the climate has been stable for the last 3,000 y, and the vegetation is similar. Thus, the variables over the transect are mean maximum temperature ranging from 30°C at the lower slope to 24°C at the upper slope, and precipitation ranging from 180 mm at the lower slope to 270 mm at the upper slope. Soil, sampled under grass and in bare areas, was analyzed for C in the POM (particulate organic matter) fraction and in the fine mineral fraction. In both soil types, there was a significant increase in POM-C with elevation, more so in soil associated with grass. The trends for POM-N follow the POM-C with highly significant differences across the transect and between the soil type. The difference in climate from 300 m and 800-m elevation has influenced the C and N content of the soil, both in bare areas and under grass. The increase in plant biomass and decrease in decomposition is the cause of the increase in soil C and N over the transect.
climate change, soil carbon, particulate organic matter
Growth
projection systems in forest management
J. Harry G. Smith
Forest Resources Management, Faculty of
Forestry, University of British Columbia Vancouver, B. C., V6T 1W5
Abstract
Results
of review of the variable density growth projection system of the Inventory
Branch of the Ministry of Forests are summarized. Information and methods needed
to improve protection and silviculture and to make better estimates of growth
and yield for management are reviewed. Needs for new operationally sound methods
are outlined for three neglected areas of management.
It is concluded that existing inventory branch methods represent existing stands
adequately and now can provide useful simulation estimates of future forest
conditions. However much more effort should be devoted to estimating future
development of very young stands, to classifying relative growth of young,
mature and overmature stands and to developing better regression methods for
estimating trends in stocking and density.
New non-linear models can improve estimates of growth and yield
J.
Harry G. Smith, A. Kozak
Forest
Resources Management, Faculty of Forestry, University of British Columbia
Vancouver, B. C., V6T 1W5
Some important recent improvements to methods for estimating growth and yield are summarized and evaluated. These new methods and concepts should be considered carefully and used cautiously by resource managers and researchers seeking better methods for estimating growth and yield. Smith and Kozak. 1984. For. Rev. 63: 41-45.
Effects
of species mixtures and inventory zones on net yields of British Columbia
forests
J.
Harry G. Smith
Forest Resources Management, Faculty of
Forestry, University of British Columbia Vancouver, B. C., V6T 1W5
Richard
C. Yang
Northern Forest Research Centre, Canadian Forestry Service, Edmonton, T6H 3S2
A least squares procedure developed to
determine statistical significance of both qualitative and quantitative data was
applied to find proportions of plots and amounts of wood yield by species
mixtures and inventory zones. For 9781 plots in Douglas-fir, spruce, and
lodgepole pine forest types, sample volumes were highest in mixtures of these
species with other conifers. However, small differences in age, site index, and
stand density could account for much of the variation. When stand volumes were
brought to common levels of age, site and density the need to recognize species
composition classes and forest inventory zones diminished.
If indicated gains from mixtures were real,
stand managers could easily improve density of pure stands to exceed the
increased yields indicated for conifer mixtures with interior Douglas-fir (20.4)
and with lodgepole pine (3.4%). Because our analyses of regional inventories
could not provide conclusive results, well designed long-term field trials would
be needed to evaluate effects of species mixtures under fully comparable
conditions.
When stand density is used with age and site
index to estimate yields there should be no need to recognized inventory zones
within Coast and interior races of
the species tested. Smith and Yang. 1982. For. Chron. 58: 85-90.
Potentials
for controlling bark percentage of the commercial tree species of British
Columbia
J. Harry
G. Smith, A. Kozak
Forest Resources Management, Faculty of Forestry, University of British
Columbia Vancouver, B. C., V6T 1W5
Diameters
inside and outside bark from 13 sections
were used to define variation in bark percentages for 33 844 trees representing
28 major groups of the commercial tree species of British Columbia. The range of
age, height, dbh, and dbh/height associated with each group was determined.
Statistical significance of effects of these factors and of up to 12
inventory zones was determined
for double bark thickness as a percentage of dbh. Bole bark volumes were
compared with wood volumes for trees exceeding two standard deviations of bark
percentage at breast height. Thick barked trees were more common and a few have
equal portions of wood and bark. Our description of the characteristics of the
trees with least or most bark should help guide tree improvement programs.
Identification of the extent to which stand factors can influence average bark
characteristics may help timber managers grow trees of desired bark proportions.
Smith and Kozak. 1981. For. Chron. August: 156-161.
Martin L. Smith, Roy E. Williams
College
of Mines and Earth Resources, University of Idaho, Moscow, ID 83843, USA
Abstract
Comprehensive characterization of the distribution and metal content of mine
wastes is a crucial component of any project which aims at selective remediation
as a function of minimization of cost and risk. Knowledge of the existence of
structures and horizons within the sediments is critical to remediation since
metal concentrations can vary significantly both within and between groupings of
wastes and sediments. The exploratory techniques for structural and statistical
analyses of the wastes as presented herein were used to identify population
domains between observed waste/sediment classes and by locality within
waste/sediment classes. Analysis of Variance (ANOVA) of split spoon samples
extracted from the wastes proved to be effective in identifying population
domains within the various observed waste/sediment classes. Variography
identified the nature and continuity of variability in metal concentrations.
Metal concentrations in mine and mill waste may vary rapidly over distance. For
this reason, exploratory variogram analysis was used to relate estimation
variance to sampling grid design and orientation. Where the deposition of mine
wastes is influenced by fluvial processes, gravity separation can take place
across areas that are sometimes flooded. This process produces drift in metal
concentrations and call complicate the characterization of water deposited or
reworked waste/sediment sites. Contaminant levels in mine and mill wastes are
controlled by forces that can be very local in nature. As a result, the
covariance structure can be non-stationary over relatively short distances. A
methodology is presented herein for checking covariance stationarity. Smith and
Williams. 1996. Eng. Geol. 43: 11-21.
Structural stage in Pacific Northwest forests estimated using simple mixing models of multispectral images
Laboratory
for Terrestrial Physics, NASA Goddard Space Flight Center, Greenbelt, MD 20771,
USA
Department
of Earth and Space Sciences, Campus Box 351310, University of Washington,
Seattle, WA 98195, USA
Abstract
We identified stages of regrowth in replanted clearcuts in D ouglas-fir/western
hemlock forests in the Gifford Pinchot National Forest, southern Washington,
USA, using a simple four-endmember constrained linear spectral mixing model
applied to a multispectral Landsat Thematic Mapper image in order to separate
and quantify spectral contributions from significant scene components. Spectral
unmixing produces images of the fractional amount of the spectral endmembers,
which were green vegetation, nonphotosynthetic vegetation, soil and
"shade," which includes topographic shading and shadows. Changes in
endmember fractions correspond to changes in surface composition (as viewed from
above). Unresolved shadows comprise the primary indicator of canopy structure
and hence, regrowth stage. To isolate shadows, shading predicted from a digital
elevation model was removed from the image before mixture analysis. As stands
regrow, the surface cover shifts from initial high proportion of slash and
exposed soil, and low proportions of green vegetation and shadows, to low
fractions of stems and soil with high fractions of green vegetation and shadows.
This shift in surface composition defines a regrowth trend in an endmember
fraction data space. Projection of data onto this line allows estimation of
structural stage and stand age, and provides a framework for remote mapping and
monitoring of forest regrowth. Field analysis of 495 forest stands, representing
stand structural stages ranging from newly replanted cuts to stands greater than
250 years in age, was used to assess the accuracy and precision of predicted
structural stages and stand ages. The spectral unmixing approach can be used to
evaluate and monitor forest regrowth quickly over large areas of the Pacific
Northwest forests, and is extendible to mapping basic vegetation community type
as well as structural stage. Sabol Jr. and Gillespie et al. 2002.
Remote Sens. Environ. 80: 1-16.
Key
Words Plus
thematic mapper, tm data, canopy, reflectance, scattering, vegetation,
variograms, age
A growth model based on the self-thinning rule
Department
of Forest Science, University of British Columbia, Vancouver, B.C., Canada V6T
1W5
Department
of Forest Management, Oregon State University, Corvallis, OR, USA, 97331
A two staged stand growth models is developed to describe the relationship between or volume and numbers of stems in even-aged, monospecific plant populations undergoing self-thinning. The model is tested on red alder (Alnus rubra Bong) seedlings and red pine (Pinus resinosa Ait.) stands grown over a range of site qualities and initial spacings. First, survival rate is modeled as a Weibull distribution. This is then fit to an analytical size-density model to give growth estimates. Crown closure is estimated to occur at a relative density of 0.09 for red alder, while initial mortality is estimated to occur at a relative density of 0.12 for red pine. Net stand growth rates peaked at a relative density of 0.54 for red alder biomass and from relative densities from 0.40 (widest initial spacing) to 0.55 (densest initial spacing) for red pine total stem volume. Site quality merely shifted the magnitude of these relationships. The model adds a dynamic component to the self-thinning rule and also generalizers and extends the rule to stand development between crown closure and the self-thinning asymptote. Smith and Hann. 1986. Can. J. For. Res. 16: 330-334.
A
new analytical model based on the -3/2 power rule of self-thinning
N.J.
Smith
Department
of Forest Science, University of British Columbia, Vancouver, B.C., Canada V6T
1W5
Department
of Forest Management, Oregon State University, Corvallis, OR, USA 97331
Abstract
A nonlinear analytical model is developed to describe the relationship
between average plant size (weight or volume) and stand density in single-aged,
monospecific plant populations. The model gives estimates of the slope and
intercept of the –3/2 power rule asymptote, the nature of the size-density
trajectory, and such features as relative density at crown closure and the
effects of soil type or site index. The model is tested by growing red alder (Alnus rubra Bong.) seedlings
under greenhouse and lath house conditions at three initial spacings (8X8, 4X4,
and 2X2 cm) and two soil types (river loam and alder forest soil ) for 525
growth days. There are seven harvests, starting at crown closure. All
size-density trajectories tend consistently towards the same single asymptote
irrespective of initial spacing , soil type, or age. The asymptote slope and
intercept are 1.46 and ca. 94 kg. tree-1. m-2 . the crown
closure line is parallel to the asymptote at a relative density of 4.6X10-3
. the model also adequately describes the size-density trajectories for
20-50 year-old red pines (Pinus resinosa Ait.) growing at six initial spacings.
The asymptoteslope and intercept are 1.6 and ca. 87X103.tree-1.ha-1,
respectively. Smith and Hann. 1984. Can. J. For. Res. 14: 656-660.
Using
competitive stress index to estimate diameter growth for thinned Douglas-fir
stands
S.
H. Smith
Potlatch
Corporation, Lewsion, Idaho
J. F. Bell
Department
of Forest Management, Oregon State University, Corvallis, OR 97331
Abstract
A
set of linear growth equations was developed using initial tree diameter (DBH),
initial competitive stress index
(CSI), and change in CSI due to thinning as independent variables to predict
periodic tree-diameter growth response for a 3- and 4-year growth
period. Data from a regional
levels-of-growing-stock study in young-growth Douglas-fir [Pseudotsuga
menziesii (Mirb.) Franco]
provided the data base for computing
the CSI values. Functions
including all three independent variables accounted for the greatest variation
in periodic diameter increment for both growth periods. Moreover, including
transformations of initial CSI and
change in CSI in the
model provided significant improvements over a model based only on functions of
initial DBH. Smith and Bell. 1983. For. Sci. 29: 491-499.
Additional Key
Words
lntertree
competition, growing space, influence zone, stand models.
Asymptotic site-index curves, fact or artifact
Faculty of Forestry, University of Toronto, Toronto, Ontario, M5S 1A1
In the absence of permanent sample plot data, site-index curves and equations showing the height/age relationship for a tree species growing on a given site have been derived using stem analysis and temporary sample plot data. Initially the guide-curve method using temporary sample plot data (Bruce and Schumacher 1950) was employed to produced anamorphic site-index curves. More recently mensurationists (e.g. Heger 1968, and Payandeh 1978) have used stem analysis data and various regression techniques to produce polymorphic curves. This study suggests that the asymptote site-index curves (I.e., curves that tend to level off within the life of the stand) that have been produced for black spruce may be the result of using mensurational and sampling techniques in forests where site-index is correlated with age. Also the regression techniques commonly used to estimate the parameters in site-index equations do not allow for error in both the dependent variable (height) and an independent variable (site). As a consequence the site-index curves produced by these techniques are asymptotic whereas height estimates obtained from 40 black spruce permanent sample plots do not exhibit any strong asymptotic height properties for stand up 180 years of age. Smith 1984. For. Chron. 60: 150-156.
Compatible basal area growth and yield models consistent with forest growth theory
Victor G. Smith
Faculty
of Forestry, University of Toronto, Toronto, Ontario M5S 1A1, Canada
Compatible growth and yield models often
include constraints which prevent them from the sample data as well as
empirically derived equations. However, the superiority of such constrained
equations can be demonstrated by examining their fit to the complementary stand
characteristic. For example, if parameter estimation has been performed using
growth as the dependent variable, the compatible yield equations should be
evaluated as part of the process of choosing the best model. Thus chances are
reduced of either selecting a model that has been strongly influenced by unusual
aberrations in the sample data or selecting a model based on inappropriate
constraints.
To illustrate, one empirical and two constrained basal area growth models, have been fitted to a common data set obtained form red pine (Pinus resinosa Ait.) plantations that were subject to a variety of thinning regimes.
One constrained model in which an inverse
relationship between growth and current basal area was specified, gave the
poorest fit to the growth data used for parameter estimation. However, the
compatible yield form estimated future yields the best of all three models. This
anomalous result provides some justification for using the new model for growth
and yield estimation. Smith 1983. For. Sci. 29: 279-288.
Pinus resinosa, growth models, stand growth, thinning, basal area increment, yield estimates, density, constrained models.
The use of product form in form-class volume equations
V.G.
Smith
Faculty
of Forestry and Landscape Architecture, University of Toronto, Toronto, Ontario M5S
1A1
This
paper describes studies on testing of form-class volume equations in tree-length
logging operations where upper-tree diameters are easily measured, and it
investigates a modified procedure for estimating the relationship between
diameter and the product of form and length. Stacked wood measurements for some 84
piles of spruce-fir tree lengths,
obtained on four
different logging operations in Newfoundland and Labrador in 1973-1974,
were compared with corresponding
estimates obtained by using regional volume, standard volume, form-class volume,
and product-form volume equations. Product-form volume equations gave more
accurate estimates than any of the other equations for these data. Regional
volume/diameter equations were more accurate than the standard volume equations
and were on a
par with the conventional
form-class volume equations. Regional volume/diameter equations should be used
when the cost of developing local volume tables from sample observations is too
great. Smith 1975. Can. J. For. Res. 6: 93-103.
Forest
tree production centres in Canada 1983
Great
Lakes Forest Research Center, Canadian Forestry Service, Department of the
Environment
A
total of 103 public sector,
private and forest industry
nurseries produced planting stock for reforestation purposes in 1983. Of
these, 47 grew bare-root stock and
83 grew containerized
seedlings. Planned production of bare-root and containerized stock for 1983,was 281
million and 260 million seedlings,
respectively, Since 1979, bare-root production expanded by
40%, or 81 million seedlings, and
containerized stock increased
by 140%, or 152 million seedlings. Total
production is
forecasted to increase to 285 million bare-root and 271
million containerized seedlings in 1984. Smyth and Brownwright.
1984. Can. For. Serv. Dept. Env.,. Inf. Rep. O-X-357.
A ratio estimator for bias correction in logarithmic regressions
P.
Snowdon
Division
of Forestry and Forest Products, Commonwealth and Scientific Research
Organization, P.O. Box 4008, Queen Victoria Terrace, ACT 2600, Australia
Abstract
It is recommended that the proportional bias in logarithmic regressions be
estimated from the ratio of the arithmetic sample mean and the mean of the
back-transformed predicted values from the regression. Under the assumption of a
lognormal distribution of errors, the conditions for application of this ratio
estimator are optimal. A simulated sampling study has shown that this method
gives more reliable results than the methods recommended by Baskerville (G.L.
Baskerville. 1972. Can. J. For. Res. 2: 49-53) or that derived by Finney (D.J.
Finney. 1941. J. R. Stat. Soc. 7(Suppl.): 55-61). The new method is also less
sensitive to departures from the assumption of a lognormal distribution than the
other two methods. Snowdon 1991. Can. J. For. Res. 21: 720-724.
Key
Words Plus
pinus-radiata, biomass, transformation
An age-independent basal area increment model for maritime pine trees in northwestern Spain
Schroder J, Soalleiro RR, Alonso GV
Abstract
An individual tree basal area increment model for pure stands of maritime pine
(Pinus pinaster Ait.) is presented. The data used to fit the model were
collected from 67 temporary 0.05 ha plots installed in regularly stocked, even-
and uneven-aged stands located in Galicia (northwestern Spain). Explanatory
variables used to predict the basal area increment are breast-height diameter
outside bark, a diameter-squared term, a distance-independent competition index,
crown spread ratio, and effective soil depth. Age and site index are
intentionally omitted to obtain generality for a wide range of even- and
uneven-aged stand conditions. The resulting model explains more than 78% of the
total growth variation, corresponds to current hypotheses about tree growth, and
is expected to provide reliable site-specific predictions for most of the pure
maritime pine stands found in the study area. Schroder and Soalleiro et
al. 2002. For. Ecol. Manage. 157: 55-64.
Author
Keywords
Pinus pinaster Ait., simulation, growth modeling, basal area increment
Key
Words Plus
growth-model, individual trees, stands, yield, forests
Height-diameter equation for first rotation eucalypt plantations in Portugal
Paula Soares, Margarida
Tome
Department of Forestry,
Instituto Superior de Agronomia, Universidade Tecnica de Lisboa, Tapada da Ajuda,
1349-017 Lisbon, Portugal
Abstract
A height-diameter equation for eucalypt plantations was developed based on a
tree dataset from trials and permanent plots located in the north and central
coastal regions of Portugal. The total dataset was split into two datasets
through restricted random sampling at the plot level. The equations selected in
one data subset were evaluated with the other subset and vice versa. Harrison
equation, fitted with the iteratively reweighted least squares method, in both
versions-restricted and not restricted to pass through the point diameter-height
(0, 1.30)-was selected. The first version was recommended for young plantations;
it is age dependent and requires a measure of stand productivity. The second
version was appropriate to use in commercial forest inventory where trees
smaller than 4 cm diameter are not measured; it is age independent, density
dependent and, also requires a measure of stand productivity. Soares and
Tome. 2002. For. Ecol. Manage. 166: 99-109.
Author
Keywords
tree height prediction, height-diameter equation, plantations, Eucalyptus
globulus Labill
Key
Words Plus
inventory data, models, prediction, pine
A growth model of natural and silviculturally treated stands of even-aged northern hardwoods
Northeastern Forest Experiment Station ,USDA Forest Service
Abstract
A computer programming system was developed which simulates the development and treatment of even-aged northern hardwoods in New England. The sampling phase begins with species distributions by quality classes. Natural mortality rates are applied, and a weeding option is available to select crop trees. A diameter distribution is generated for each species, and the smaller tree in the understory are dropped from the stand. The poletimber-rotation age or diameter, using available staocking guides, yield-table data, and gross growth estimates. Thinning and final havest yields are presented by species and quality classes, using available data, the connecting phases of the simulator have been tested to determine the effects of silvicultural treatments ( or lack of treatments) on long-term stand response. Solomon 1977. Ne. For. Exp. Stn., USDA For. Serv., Broomall, Pa. Tech. Rep. NE-36.
Allometry
and biomass of Korean pine(Pinus koraiensis) in central Korea
Yowha
Son
Department
of Forest Resources and Environmental Sciences, Korea University, Seoul 136-701,
South Korea
Jae Woo Hwang
Department
of Forest Resources, Yeungnam Univesity, Kyungsan 712-749, South Korea
Zin
Suh kim, Woo Kyun Lee, Jong Sung Kim
Department
of Forest Resources and Environmental Sciences, Korea University, Seoul 136-701,
South Korea
Abstract
Aboveground tree biomass of Korean pine (Pinus koraiensis Sieb. et Zucc.) was
determined for a natural forest of Korean pine and mixed deciduous trees and
seven age classes of plantation forests in central Korea. Regression analyses of
the dry weights of stem wood, stem bark, branches, and needles versus diameter
at breast height were used to calculate regression equations of the form of log
Y = a + b log X. Biomass of Korean pine in the mixed forest was 118 Mg ha(-1),
and biomass in the plantations was linearly related to stand age, ranging from
52.3 Mg ha(-1) in 11 to 20-year-old stands to 317.9 Mg ha(-1) in 71 to
80-year-old stands. The proportions of stem wood and stem bark in the total
aboveground biomass decreased with stand age while those of branch and needle
increased. Specific leaf area of Korean pine ranging from 35.2 to 52.1 cm(2)
g(-1) was significantly different among crown positions and needle ages; in
general, lower crown position and current needles had the greatest surface area
per unit dry weight. Son and Hwang et al. 2001. Bio. Tech. 78:
251-255.
Author
Keywords
aboveground biomass, allometric regression equation, Korean pine, natural
forest, Pinus koraiensis, plantation, specific leaf area
Key
Words Plus
leaf-area, douglas-fir, plantation, nitrogen
Modeling
canopy structure and heterogeneity across scales: From crowns to canopy
Bo
Song, Jiquan Chen, Paul V. Desanker, David D. Reed
School
of Forestry and Wood Products, Michigan Technological University, Houghton, MI
49931, USA
Gay
A. Bradshaw
Forestry
Science Laboratory, USDA Forest Service, Corvallis, OR 97331, USA
Jerry
F. Franklin
College
of Forest Resources, University of Washinton, Seatle, WA 98195, USA
Abstract
Canopy studies have been limited in ecological investigations due to problems of
canopy accessibility, and the lack of efficient sampling and modeling methods.
The primary objective of this study was to develop an efficient modeling
approach to describe the 3-dimensional, hierarchical structure of individual
crown shells within stands and corresponding canopy patches. Crown shells were
modeled based on crown ratio, maximum cardinal radius, vertical position, and
shape. Canopies were represented by adding unique crowns to simulated point
patterns of trees of known aggregation as measured by Pielou's index of
nonrandomness. Canopy patches were delineated at multiple horizontal and
vertical scales using the ARC/INFO geographic information system (GIS). The
patterns of canopy patches are clearly variable and scale dependent. Canopy
patterns become more diverse at broader horizontal scales, and change greatly
from the lower to the upper canopies. The modeling approach used in this study
has general utility in characterizing 3-dimensional canopies of many types of
forests. Song and Chen et al. 1997. For. Ecol. Manage. 96: 217-229.
Author
Keywords
crown, canopy, simulation, GIS, scale, spatial pattern
Key
Words Plus
forest
Conghe Song
Department of Geography, the University of North Carolina at Chapel Hill, CB# 3220, 203 Saunders Hall, Chapel Hill, NC 27509, USA
Curtis
E. Woodcock
Department of Geography, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA
Abstract
Forest succession is a fundamental ecological phenomenon, which has significant
implications for sustainable ecosystem management as well as biological,
biophysical, and biogeochemical processes. Remote sensing is perhaps the only
viable option for monitoring changes in forest ecosystems over large areas in a
timely and cost efficient manner. This study investigates the spatial
manifestation of forest succession in optical imagery through three types of
models: a two-component spatial model, a canopy reflectance model
(Geometric-Optical and Radiative Transfer, GORT) and a forest ecosystem dynamics
model (ZELIG). The latter two models provide inputs to the former one to predict
the spatial properties of images as a function of the combined effects of tree
size and density, the spectral signatures of scene components and pixel size. An
important source of information that is diagnostic of canopy structure has been
identified: the spatial properties of multiresolution imagery. The sill of
variograms of images of forest stands decrease with regularization, and in
particular the rate of decrease is related to the size of trees. For stands with
larger trees the sills of variograms decrease more slowly with increasing
regularization than for stands with smaller trees. However, the spatial patterns
for a scene with multiresolution imagery are also dependent on tree cover. This
implies that the use of spatial patterns to estimate tree size will require
independent estimates of tree cover as a preliminary step. Concept verification
with an Ikonos 1-m panchromatic image for stands at the H.J. Andrews
Experimental Forest in the Cascade Range of Oregon indicates the simulated
spatial patterns exist in multiresolution imagery. This study demonstrates the
potential to map tree size automatically from multiresolution imagery. Song and
Woodcock. 2002. Remote Sens. Environ. 82: 271-284.
keywords
plus
bidirectional reflectance, coniferous forests, digital images, gap model,
canopy, vegetation, landsat, resolution, scale, semivariogram
Sequential
application of simplex designs in optimisation and evolutionary operation
Imperial Chemical Industries Ltd., Biullingham, Co. Durham, England
A technique for empirical optimization is presented in which a sequence of experimental designs each in the form of a regular or irregular simplex is used, each simplex having all vertices but one in common with the preceding simplex, and being completed by one new point. Reasons for the choice of design are outline, and a formal procedure given. The performance of the technique in the presence and absence of error is studied and it is shown (a) that in the presence of error the rate of advance is inversely proportional to the error standard deviation, so that replication of observations is not beneficial, and (b) that the “efficiency” of the technique appears to increase in direct proportion to the number of factors investigated. It is also noted that, since the direction of movement from each simplex is dependent solely on the ranking of the observations, the technique may be used even in circumstances when a response cannot be quantitatively assessed. Attention is drawn to the ease with which second –order designs having the minimum number of experimental points may derived from a regular simplex, and a fitting procedures which avoids a direct matrix inversion is suggested. In a brief appendix one or two new rotatable designs derivable from a simplex are noted. Spendley and Hext et al. 1962. Technometrics. 4: 441-461.
Distribution of biomass in an Indiana old-growth forest from 1926 to 1992
Martin
A. Spetich, George R. Parker
Department
of Forestry and
Natural Resources, Purdue University, West Lafayette, Indiana 47907
Abstract
We examined the structural and spatial distribution of woody biomass in
relationship to disturbance in an Indiana old-growth deciduous forest over a
66-yr period. Analysis was done on the core 7.92 ha of a 20.6-ha forest in which
every tree 10 cm dbh and over has been tagged and mapped since 1926. Five years
are compared-1926, 1976, 1981, 1986 and 1992. Dry weight of living biomass for
the 7.92-ha area for these 5 vr was 154 Mg/ha, 207 Mg/ha, 220 Mg/ha, 216 Mg/ha
and 211 Mg/ha, respectively Biomass of dead trees was 1 Mg ha(-1) yr(-1) from
1977 through 1981; 4 Mg ha(-1) yr(-1) from 1982 through 1986; and 3 Mg ha(-1)
yr(-1) from 1987 through 1992. Biomass of trees that died between 1976 and 1992
was greatest for midseral species. Living biomass of dominant early to midseral
species is declining while that of late seral species is increasing. In 1926
biomass of trees 10 to 25 cm diam consisted of 14% Quercus spp. and 12% Acer
saccharum. By 1992 biomass in this diameter range consisted of 1% Quercus spp.
and 43% A. saccharum. Equilibriun parch size was estimated for biomass at each
of the five inventory dates to determine ii there was a change. Equilibrium
patch size for biomass was estimated to be 0.64 ha during all five inventory
dates based on the coefficient of variation (CV) of biomass for 16 different
grid cell sizes. Grid cell size refers to the size of adjacent cells in a grid
that covered the entire study area. The grid with the smallest cells had cells
of 0.01 ha. This grid of 0.01-ha cells was aggregated to 15 additional grid cell
sizes, where the largest grid cell size was 1.98 ha. CV for all grid cell sizes
was highest in 1926 due to effects of prior grazing. There data indicate an
increase in deadwood biomass, a drift in stand composition, recovery from
grazing by an increase in small diameter trees and no change in equilibrium
patch size over the five inventory dates. Spetich, and Parker. 1998. The
American Midland Naturalist. 139: 90-107.
Key
Words Plus
coarse woody debris, deciduous forest, oak forest, dynamics, disturbance,
regeneration, landscape, patterns, decomposition, replacement
Plot
Size Recommendations for Biomass Estimation in a Midwestern Old-Growth Forest
Martin A. Spetich
Southern Research Station, USDA Forest Service, Hot Springs, AR 71902
George R. Parker
Department of Forestry and Natural
Resources, Purdue University, West Lafayette, IN 47907.
We examine the relationship between disturbance regime and plot size for woody biomass estimation in a midwestern old-growth deciduous forest from 1926 to 1992. Analysis was done on the core 19.6 ac of a 50. 1 ac forest in which every tree 4 in. dbh and greater has been tagged and mapped since 1926. Five windows of time are compared-1926, 1976, 1981, 1986 and 1992. The most efficient plot sizes requiring measurement of the least total area range from 0.02 to 1.6 ac. A small plot size was recommended after grazing disturbance, and a large size was recommended when mortality was high and acceptable error was low. Spetich and Parker. 1992. North J. Appl. For. 15: 165-168.
Height-age trends from an Arkansas seed source study
Peter
T. Sprinz
Department of Forest Science, Texas Agricultural Experiment
Station, Texas A&M University System, College Station, TX 77843
Mike
R. Strub
Biological Sciences Research Division, Weyerhaeuser Company,
Tacoma, WA 98477
Cheryl
B. Talbert
Southern Forestry Research Division, Weyerhaeuser Co., Hot
Springs, AK 71902
Abstract
An analysis of average and dominant height, and height growth indicated the geographic origin of planted loblolly pine significantly affected height development through 29 years in Arkansas. For average and dominant height, sources west of the Mississippi were shorter than eastern sources at all ages; coastal Carolina and Virginia sources were taller than local sources from Arkansas, northern Louisiana, east Texas, and Oklahoma at all ages. The interior sources from northern Mississippi, Alabama, Georgia, and piedmont Carolina were shorter than the coastal sources initially, but became similar by age 25. It was also determined that region rankings for dominant height remained fairly consistent with age, hut the relative magnitudes of difference among regions decreased with age. Region rankings for average and dominant heights were similar, but the relative differences in magnitude were greater for average height than for dominant height. A flexible height-age model suggested that while dominant height maximized at a common level, the shape of development varied to that asymptote with seed source. Lastly, it was found that region differences existed in the shape and level of height growth over time. Eastern origin material showed the greatest height growth initially, but the western origin stands had attained the same height growth rate by age 20. Sprinz and Talbert et al. 1989. For. Sci. 35: 677-691.
Additional Key
Words
Pinus
taeda, site index, genetic
gains
Data
management procedures in ecological research
S.G.
Stafford, P.B. Alaback, K.L. Waddell, R.L. Slagie
Abstract
Ecological
research requires a flexible, organized system for acquiring, documenting, and
managing data. Careful documentation of data, best done through close
collaboration of the researcher and data manager, is important if all users are
to benefit from a centralized database management (DBM) system. A systematic
approach to data management and analysis comprises four key steps:
comprehension, planning, execution, and evaluation and interpretation.
Statistical consulting at the beginning of a project helps scientists plan
well-designed, efficient research strategies. Data collection forms should be
designed to encourage recorders to enter all essential identifying information,
thereby minimizing errors. Consistent, high-quality data verification, through
either the visual or double-entry
method, allows most data collection errors to be caught and corrected before
analysis. Standardized forms help maintain uniformity in data documentation.
Documentation and corresponding data files should be linked in a carefully
organized relational DBM system
in which all information may be easily stored and retrieved. Using commercial
software for data management and analysis is
usually more cost effective than developing and maintaining customized
software. Scarce DBM resources
should be invested in data validation, equipment acquisition, system design, and
data documentation, not programming. Database maintenance is costly, but
critical, to keeping credibility with users. The key to future advances in
ecological data management lies in the ability of data managers and scientists
to move into a more cooperative, integrative mode through which comprehensive
databases are established and more fully used, increasing overall research
efficiency.
Prediction of height increment for models of forest growth
Albert R, Stage
Forest Sciences Laboratory, Moscow, Idaho
How
fast do trees grow in height? The answer requires a great
deal of detail about the tree's environment and about the tree itself,
or some specific growth measure on the tree that indicates the combined effects
of all environmental factors and the tree's individual characteristics. Diameter
increment is such a
measure. It is much more easily measured than height
increment, and responds to the same growth determinants. Diameter
increment, however, is much more responsive to effects of stand stocking than is
height increment. Past effects of stocking on
height growth relative to diameter growth are indicated by the tree's
form, as measured
by the height/d.b.h. ratio, and by its
crown ratio (live crown length/total height). In this report, we seek to
develop a prediction equation that relates height increment to concurrent
diameter increment, tree height, diameter, crown ratio, and habitat type (Daubenmire
and Daubenmire 1968). To use
this equation for calculating the height increment component of current volume
increment of trees on inventory plots,
a computer subroutine is provided
in the appendix. For more
extended prognoses, the same
equation for predicting height increment can be imbedded
in a
computer model of forest stand development (Stage 1973) For
many years Forest Survey in the Intermountain Forest and Range Experiment
Station has calculated current volume increment from changes in
height computed from diameter
increment and diameter. Wright (1961) recommended a similar procedure. Both
approaches were derived from a single curve of total height over d.b.h. by
determining the differences i n the curve height for current d.b.h. and for
d.b.h. plus diameter increment. Hence, these approaches assume that all trees of
a particular species
follow height/diameter curves that have the same slope for a
given d.b.h. Better
prediction equations should be possible where data are available from direct
measurements of height increment. Prediction equations presented in
this report are based on
analysis of 1.165 trees felled
as part of management
planning inventories of the
Kaniksu, Coeur d'Alene. St. Joe. and Lewis
and Clark National Forests in northern Idaho
and western Montana. Stage 1975. USDA For. Serv. Res. Pap. INT-164.
A mathematical approach to polymorphic site-index curves for grand fir
Albert
R. Stage
Intermountain
Forest and Range Experimental Station, Forest Service, USDA, Moscow, Idaho
Polymorphic
site index curves may be derived for Abies grandis by
fitting to stem analysis data the sigmoid function: H =
a exp(-b/Ac).
This procedure uses the tree as a
phytometer to
estimate site index. To arrive
at a site quality measure
closely corresponding to periodic stand increment, the estimation procedure
compensates for the effect of site factors that affect the tree only during the
seedling and sapling stages of development.
Site index is here defined by the annual height increment on a tree
55 feet tall, but expressed as tree height at
an index of 50
years. The number of annual rings in 1.5-inch radius from the pith at
breast height is used to select
the appropriate set of height/age curves from the polymorphic series. Such
curves constructed from stem analyses must be applied to
a uniform number of the tallest
trees per acre at all
ages. This number is tentatively set at
the rate of 25 trees per acre. Stage 1963. For. Sci.
9: 167-180.
Dominant-height and site-index equations for Ponderosa pine in east-central Arizona
W.
F. Stansfield, J. P. Mctacue
Northern
Arizona University, Flagstaff, A Z 86011, U.S.A
R.
Lacapa
Division
of Forestry, Fort Apache Indian Agency, Bureau of Indian
Affairs, Whiteriver, A Z 85941, U.S.A
Abstract
A dominant-height equation for ponderosa pine (Pinus ponderosa Laws.) was
constructed utilizing a parameter prediction method and a model by J.E. King.
The site-index equation was obtained by inverting the dominant-height equation.
A method was examined for indirectly obtaining parameter prediction equations.
It proved superior to two direct parameter prediction approaches. Other
site-quality variables, such as habitat type groups and elevation, were included
in the dominant-height and site-index equations and were successful in refining
predictive capability. Stansfield and McTague et al. 1991. Can. J.
For. Res. 21: 606-611.
Key Words Plus
forest
Brian M. Steele
Department of Mathematical
Sciences, University of Montana, Missoula, Montana, MT 59812
Abstract
This article discusses two new methods for increasing the accuracy of
classifiers used land cover mapping. The first method, called the product rule,
is a simple and general method of combining two or more classification rules as
a single rule. Stacked regression methods of combining classification rules are
discussed and compared to the product rule. The second method of increasing
classifier accuracy is a simple nonparametric classifier that uses spatial
information for classification. Two data sets used for land cover mapping of
Landsat TM scenes from Idaho and Montana illustrate the new methods. For these
examples, the product rule compared favorably to the more complex stacked
regression methods. The spatial classifier produced substantial increases in
estimated accuracy when combined with one or more additional classifiers that
used remotely sensed variables for classification. These results suggest that
the product rule may produce increases in map accuracy with little additional
expense or effort. The spatial classifier may be useful for increasing accuracy
when patterns exist in the spatial distribution of land cover. Steel 2000.
Remote Sens. Environ. 74: 545-556.
keywords
plus
contextual classification, sensing data, images
Practical implications of design-based sampling inference for thematic map accuracy assessment
State University of New
York, College of Environmental Science and Forestry, 320 Bray Hall, Syracuse, NY
13210
Abstract
Sampling inference is the process of generalizing from sample data to make
statements or draw conclusions about a population. Design-based inference is the
inferential framework commonly invoked when sampling techniques are used in
thematic map accuracy assessment. The conceptual basis of design-based inference
is described, followed by discussion of practical implications of design-based
inference, including (1) the population to which the inferences apply, (2)
estimation formulas and their justification, (3) interpretation of accuracy
measures, (4) representation of variability, (5) effect of spatial correlation,
and (6) role of probability sampling. Design-based inference is contrasted with
model-based inference, another inferential framework frequently invoked in
statistics. Stehman 2000. Remote Sens. Environ. 72: 35-45.
keywords
plus
remotely-sensed data, classification accuracy, sensing data, cover map,
probabilities, uncertainty, coefficient, perspective, errors, basin
Design and analysis for thematic map accuracy assessment: fundamental principles
SUNY
College of Environmental Science and Forestry, Syracuse, New York
USDA
Forest Service, Rocky Mountain Research Station, Fort Collins, Colorado
Abstract
Before being used in scientific investigations and policy decisions, thematic
maps constructed from remotely sensed data should be subjected to a
statistically rigorous accuracy assessment. The three basic components of an
accuracy assessment are: 1) the sampling design used to select the reference
sample; 2) the response design used to obtain the reference land-cover
classification for each sampling unit; and 3) the estimation and analysis
procedures. We discuss options available for each of these components. A
statistically rigorous assessment requires both a probability sampling design
and statistically consistent estimators of accuracy parameters, along with a
response design determined in accordance with features of the mapping and
classification process such as the land-cover classification scheme, minimum
mapping unit, and spatial scale of the mapping. Stehman, and Czaplewski.
1998. Remote Sens. Environ. 64: 331-344.
Key Words Plus
remotely-sensed
data, rural-urban fringe, classification accuracy, satellite imagery, land-use,
improve, forest, error, resources, size
Wageningen
University, Mathematical and Statistical Methods Group, Dreijenlaan 4, 6703 HA
Wageningen, The Netherlands
Wageningen University, Sub-Department of Soil Quality, Dreijenplein 10, 6703 HB Wageningen, The Netherlands
Abstract
Comparison of ecosystems and land use studies often require the use of
non-classical statistics. This paper describes modem ways of approaching optimal
sampling for ecological and environmental purposes. The first part of the paper
deals with a description of different sampling procedures. A distinction is made
between sampling surveys, optimal grid spacing and adaptive sampling. The second
part of the manuscript uses a simulated example to illustrate the different
sampling procedures. The third part contains an actual field study where various
constraints were met that had to be incorporated in the lay out of the sampling
scheme. Optimal statistical sampling procedures can be implemented and utilized
to collect maximum information from limited resources. Stein and Ettema. 2002.
Agr. Ecosyst. Environ. 1939: 1-17.
Author
Keywords
optimal sampling, adaptive sampling, bio-diversity, experimental design, soil
biota, spatial simulations
Key
Words Plus
optimal interpolation, soil properties, optimization, strategy
ITC,
PO Box 6, 7500 AA Enschede, The Netherlands
Dept.
of Environmental Sciences, Agricultural University, PO Box 37, 6700 AA
Wageningen, The Netherlands
Dept.
of Environmental Sciences, Agricultural University, PO Box 37, 6700 AA
Wageningen, The Netherlands
This
paper analyzes the use of stratification in the modeling of dependence for
regionalized variables in space and time. Stratification enables optimal use of
available information, and it is used when deterministic, small-scale
information is combined with large-scale random variation: on the one hand, the
problem of having too few data to reliably estimate statistical parameters may
be solved by stratification; on the other hand some variation may be so obvious
that it serves as a prerequisite for obtaining any form of stationarity. The
paper is illustrated with four case-studies. The first study analyzes
optimization of an extant groundwater monitoring network within a catchment of
the river Rhine. Stratification in space enabled 5 cm precision of predicted
levels at critical locations, something that could not be reached without
stratification. The second study analyzed variability in space and time of wind
erosion in a field. Erosion by four storms was measured with 21 devices. Use of
temporal stratification to overcome lack of spatial data resulted, in one
instance, in a decrease of 17 percent in mean absolute error. The third study
addressed changes in the soil solution influenced by environmental deposition
over a period of six years. Stratification was made in space to enable analysis
in the time domain and to obtain spatio-temporal maps. The fourth study used a
general space-time model to evaluate the development of root-rot in soybean,
caused by naturally occurring pathogens. Predictions were made at unvisited
times to estimate the probability of occurrence of root rot. We conclude that
use of stratification enhances the utility of space-time statistics for the
solution of various environmental and agricultural problems. Stein and
Sterk 1999. JAG. 1: 109-121.
Key
Words
stratification,
space-time statistics, wind erosion, groundwater level, soil solution,
phytopathology
A.
Saldana, A. Stein, J.A. Zinck
ITC
International Institute for Aerospace Survey and Earth Sciences, P.O. Box 6,
7500 AA Enschede,
Netherlands
Abstract
This paper applies statistical and geostatistical procedures to a soil
chronosequence on the terraces of the Henares River (NE Madrid) to analyse the
spatial distribution of several soil properties and use the contribution of
geostatistics to establishing a landscape evolution model of the area.
Particle-size distribution, pH, calcium carbonate and organic carbon were
analysed. Statistical procedures focus on analysing differences between
terraces. Geostatistical procedures identify short- and medium-range variations
within individual terraces at different scales. Standard transitive variogram
models describe the properties of the younger terrace;whereas the linear
intransitive model fits the majority of variograms of the older terrace. The
analysis confirms and quantifies the decrease in variability of soil properties
from young to old deposits, showing thus an increment of soil homogenisation
with time. Ageing of the terraces causes the variables to show nontransitive
variogram models with unbounded variances within the observation range. Saldana
and Stein et al.1998. Catena. 33: 139-153.
William I. Stein
Forestry Sciences Laboratory, 3200 SW
Jefferson Way, Corvallis, OR 97331
Abstract
This paper applies statistical and geostatistical procedures to a soil
chronosequence on the terraces of the Henares River (NE Madrid) to analyse the
spatial distribution of several soil properties and use the contribution of
geostatistics to establishing a landscape evolution model of the area.
Particle-size distribution, pH, calcium carbonate and organic carbon were
analysed. Statistical procedures focus on analysing differences between
terraces. Geostatistical procedures identify short- and medium-range variations
within individual terraces at different scales. Standard transitive variogram
models describe the properties of the younger terrace;whereas the linear
intransitive model fits the majority of variograms of the older terrace. The
analysis confirms and quantifies the decrease in variability of soil properties
from young to old deposits, showing thus an increment of soil homogenisation
with time. Ageing of the terraces causes the variables to show nontransitive
variogram models with unbounded variances within the observation range. Stein
99. USDA For. Serv. Res. Pap. PNW-RP-500.
Author
Keywords
chronosequence, spatial variability, variogram, soil homogenisation, spatial
sampling
Key
Words Plus
geostatistics, delineations, information, landscapes
Growth of white spruce following release from trembling aspen
G.A.
Steneker
Department
of Forestry and Rural Development, Forest Research Laboratory, Winnipeg,
Manitoba
Experimental
release cuttings
to favor
white spruce in 15- to
60-year-old white spruce- trembling aspen stands have shown that diameter
increment and in certain instances height increment of
the spruce was doubled;
merchantable volume production per ' acre was, on the average, increased by
about 60
percent. These findings are
of special interesting the Prairie
Provinces, where the
spruce-aspen cover type
forms the principal source of white spruce. Steneker 1967. For.
Branch Dep. Pub. Gen. Tech. Rep. 1183.
Spatial
variation of nitrate-N and related soil properties at the plot-scale
R.
Stenger
Institute
of Soil Ecology, GSF-National Research Center for Environment and Health,
D-85764 Neuherberg, Germany
Lincoln
Environmental,
Private Bag 3062, Hamilton, New Zealand
Institute
of Soil Ecology, GSF-National Research Center for Environment and Health,
D-85764 Neuherberg, Germany
Institute
of Soil Science and Forest Nutrition, University of Gottingen, Germany
Abstract
Neglecting the spatial variation in soil nutrient status may result in unused
yield potential and in environmental damage. Site-specific management has been
suggested to reduce inappropriate fertilization that can adversely affect soil,
ground and surface water. Decision criteria for determining variable-rate
nitrogen fertilization are, however, lacking. This paper analyses the spatial
variation of nitrate nitrogen (NO3-N) and soil properties related to the N cycle
at the plot-scale, Three 50 X 50 in plots were sampled in nested sampling
designs of varying complexities. Classical statistics revealed a characteristic
ranking in the variability of soil properties. Geostatistical analysis of the
NO3-N data from two plots showed that the small-scale variation found in one
small subgrid was not typical for the small-scale variation in the entire plot,
indicating bias in the sampling design. A trend component was found in the NO3-N
data and, consequently, the minimal requirement for the regionalized variable
theory was not fulfilled. Problems due to design were overcome with a more
complex nested sampling at the third plot. However, the spherical model fitted
to the NO3-N data of the first year explained only 21% of the total variance,
whereas a pure nugget effect was observed in the second year. The water content
data also showed a low structural variance, which was different in the two
years, In contrast, two thirds of the variance of total carbon (C) and total
nitrogen (N) could be explained by the fitted models. Seasonal variations, such
as varying duration of snow cover, and extrinsic management effects, such as
growing of a cover crop, may have contributed to the observed differences in
variability between the years. Due to the low proportion of structural variance
and the observation that spatial distribution was not stable with time,
geostatistical analysis of NO3-N and water contents data added only little
information to classical statistical analysis. However, geostatistical analysis
of total C and N contents provided a useful means to calculate spatial
distribution patterns of these properties. Stenger and Priesack et al.
2002. Geoderma. 105: 259-275.
Author
Keywords
site-specific management, spatial variation, temporal variation, heterogeneity
Key
Words Plus
temporal persistence, field-scale, variability, patterns, nitrogen,
mineralization, availability, dependence, management
Adapting
an individual tree growth model for Norway spruce (Picea abies L. Karst.) in
pure and mixed species stands
Hubetr Sterba,
Astrid Blab
Institute of Forest Growth Research, University of Agricultural Sciences, Peter Jordanstrabe 82, A-1190 Wien, Vienna, Austria
Klaus Katzensteiner
Institute of Forest Ecology, University of Agricultural Sciences, Peter Joudanstrabe 82,A-1190, Wien, Vienna, Austria
Abstract
PROGNAUS is an individual tree growth model, containing a major sub-model which
depicts basal area growth as a function of tree size, competition and a set of
diagnostic site variables. The coefficients of this model have previously been
estimated using the data from the Austrian National Forest (ANF) inventory. The
examination of 60 new sample plots in two Austrian growth districts showed that
the increment of Norway spruce (Picea abies L. Karst.) in pure spruce stands was
overestimated by this model while it was underestimated in mixed species stands
with European beech (Fagus sylvatica L.).
In order to adapt PROGNAUS to account for this effect, the data of the 60 plots were used to modify PROGNAUS by adding quantitative soil characteristics and the percentage of Not-way spruce as variables. The markedly improved model accounts for the effect that in a given stand, below a certain competition level, Norway spruce grows better in the pure stand than in an otherwise comparable mixed species stand. These small spruce trees in mixed stands have a shallow rooting system and therefore suffer from water stress, which is caused by the competing European beech with its higher water consumption. and deeper rooting system.
Adding the Norway spruce proportion as an independent variable into the original model and re-parameterising it with the data of the ANF inventory, reveals that this effect can be generalized to some extent, but differs in magnitude depending on the geological substrate. Sterb, Blab et al. 2002. For. Ecol. Manage. 159: 101-110.
Author
Keywords
individual tree growth model, mixed species stands, Picea abies L. Karst., Fagus
sylvatica L.
KeyWords
Plus
forest stands, beech
Crown efficiency in a loblolly pine (Pinus taeda) spacing experiment
Hubert Sterba
Institut fur Waldwachstumsforschung, Universitat fur Bodcnkultur Wien Peter JrdanstranBe 82, A-1190 Vienna, Austria
Ralph
L. Amateis
Department of Forestry, Virginia Tech. Blacksburg, VA 24061-0324, USA
Abstract
Crown efficiency was first defined by Assmann (1961. Waldertragskunde. BLV,
Munchen) as individual tree volume increment per unit of crown projection area.
He hypothesized that within a given crown class, smaller crowns are more
efficient because their ratio between crown surface and horizontal crown
projection is higher. Data from a loblolly pine (Pinus taeda L.) spacing
experiment were used to test if this hypothesis also holds in young loblolly
pine stands and, if so, to determine if it explains the increment differences
between spacings in the spacing experiment. Using individual tree height
relative to plot dominant height to describe crown class, within-plot regression
showed that crown efficiency decreased with crown size for trees below dominant
height. This relationship was much less pronounced than indicated from Assmann's
examples, although the crown surface to crown projection ratio behaved in the
same way as Assmann had hypothesized. Crown efficiency as well as the crown
surface to crown projection area ratio decreased with increasing density. Basal
area increment per hectare increased until total crown closure approached 130%
and then stayed constant. This major impact of total crown coverage brings into
question the usefulness of crown efficiency as an indicator for unit area
growth. Sterba and Amateis. 1998. Can. J. For. Res. 28: 1344-1351.
Key
Words Plus
growth efficiency
Sampling In
Forest
Experiments
W.G.
Stevenson, P.S.
Savill
Biometrics
Division and
Forest
Service Department o
f Agriculture
Northern Ireland
Abstract
In
a computer
simulation exercise, samples of trees of various sizes were drawn from assessment
plots of
36
trees
in two Sitka spruce experiments. Experimental means from the different sample
sizes never deviated far from the statistics of the analyses of
the
complete assessment plots variances decreasing uniformly with increasing sample
size. The observed residual mean squares corresponded very closely with the
expected values. It is concluded that little extra information is
gained
by measuring more than 20 trees in any treatment plot and that as few as
12 will
give acceptable results. Stevenson and Savill. 1976. Commonw. For.
Rev. 55. 4: 331-334.
Improvement cut accelerates white pine sawlog growth
W.M.
Stiell
Petawawa National Forestry Institute, Chalk River, Ontario
Abstract
Middle-aged eastern white pine (Pinus strobes L.) were released in 1971 by removal of overstory hard-woods in a commercial cut. Ten-year growth of the pine indicated that treatment had been effective in promoting development of sawlog sizes. Compared with untreated stands, the margin of growth of ths material was up to 30 m3/ha for middle-density under-storeys (12 m2/ha of basal area), and would reach 71 m3/ha over 20 years according to growth projections. Stiell 1984. For. Chron. 60: 3-9.
How uniformity of tree distribution affects stand growth
W.M.
Stiell
Department
of Fisheries and Environment, Canadian Forestry Service, Petawawa Forest
Experiment Station, Chalk River, Ontario
Abstract
Part of a 13-year-old plantation of red pine (Pinus resinosa Ait.) was thinned to leave stems uniformly distributed throughout the stand and another part was thinned to leave the same number of stems but in equally spaced 4-tree clumps. After 10 years the clumped trees had smaller live crowns (owing to more intense shape on the inside of the clumps reflected in lower growth in d.b.h. and basal area per hectare, and higher form class. No significant difference between treatments was found in volume per hectare. But it was concluded that 5-treeor larger clumps would result in reduced wood production. Stiell 1978. For. Chron. 54: 156-158.
Yield
of unthinned red pine plantations at the Petawawa forest experiment station
Forest Management Institute Ottawa,
Ontario
Petawawa Forest Experiment Station Chalk River, Ontario
Yield
tab3es for high-survival, unthinned plantations of red pine were prepared to age
50 years from planting, by 5-year age classes, for eight planted spacing and
five site index classes. Each table presents the numbers of trees and the basal
area per acre, the mean d.b.h., and the total, merchantable cubic, and board
foot volumes per acre. Site index curves and diameter distribution data are also
presented. Stiell and Berry. 1973. Dept. Environ. Can. For. Serv.
Publ. NO. 1320.
Some competitive relations in a red pine plantation
Department
of Fisheries and Forestry, Canadian Forestry Service, Petawawa Forest Experiment
Station, Chlak River, Ontario
Abstract
Thirteen-year-old red pine (Pinus resinosa Ait.), planted at 5’X5’ and 7’X7’ spacings on sandy, old-field sites, were afforded various types of release from competition by bending over or felling their immediate neighbors, or by severing (but leaving upright) the tops of adjacent trees. Others were subjected to increased aerial competition by inserting severed tops in an upright position around them. The intention was to differentiate competitive effects of crowns from those of roots, and response to treatment was assessed by 2-year stem volume growth. The results could not be fully explained in terms of the treatments applied until hydraulic excavation revealed that root systems were overlapping and very widely dispersed, extending over many times the area occupied by the respective crowns. It is concluded that while above-ground competitions concentrated within the areas occupied by individual crowns, root competition is diffuse and its origin unpredictable for a given tree. Some of the implications for practical silviculture are presented. Stiell 1970. Dept. Fish. and For., Can. For. Serv. Publ. NO. 1275.
Red pine crown development in relation to spacing
Department
of Forestry of Canada, Petawawa Forest Experiment Station Chalk River, Ontario
Abstract
Crown and stem measurements were taken eriodically on selected trees in
plantations of red pine ( Pinus Resinosa Ait.) over the period 17 ot 37 years
from seed. Spacings were 5X5, 7X7, 10X10, and 14X14 feet; some of these
represented the original planting interval and others had been achieved by
mechanical thinning at the start of the experiment. Little mortality occurred
during the 20 years, and individual crown size tended to stabilized, with
smaller crowns occurring with closer spacings. Periodic volume growth per acre
was strongly correlated with average foliage weight for the period. Thinning was
followed by an immediate but temporary increase in foliage efficiency, and wood
production per kilo oven dry foliage ranged from 0.023 to 0.038 cubic feet.
Crown length, width, and weight, once stabilized, did not show good correlation
with parameters of individual stem growth which are cumulative. Height to crown
continued to increase and was strongly correlated with total volume per acre and
with the ratio average height/(average spacing)1/3. Breast-height growth
of sample tress appeared to be a function of height to crown and foliage weight.
Stiell 1966. Can. Dep. For., Publ. 1145.
The
process and progress of economics
George
J. Stigler
University of Chicago
The
lecture focuses on the reasons that new ideas are accepted or rejected by a
science. A distinction
is drawn between prescientific and scientific stages of a discipline. The
diverse fates of new ideas are illustrated by a variety of episodes in the
history of economics, including the economics of information and the theory of
economic regulation. Stigler 1983. J. Polit. Econ. 91: 529-545.
Plantation thinning systems in the southern United States
Bryce
J. Stokes
USDA Forest Service, Auburn, Alabama, USA
School of Forest Resources, Mississippi State University, Mississippi State, Mississippi, USA
This
paper reviews southern pine management and thinning practices, describes three
harvesting systems for thinning, presents production and cost estimates, and
utilization rates. The costs and product recoveries were developed from
published sources using a spreadsheet analysis. Systems included tree-length,
flail/chip, and cut-to-length. The estimated total harvesting, transport, and
woodyard cost per m3 of pulpable fiber at the digester was US$24.15
for tree-length and US$19.84 for flail/chip. The same costs for cut-to-length
was US$27.66, 27.87, and 29.15 per m3 for chainsaw, feller-buncher/processor,
and harvester systems, respectively when producing 2.3-m boltwood. When
processing the trees into 5.3-m bolts, the cost for the harvester system was
US$29.05. Fiber recovery to the digester was approximately 55 percent of
standing biomass for all the systems. Stokes and Watson. 1996.
Site
quality estimation using height and diameter
Benjamin B. Stout
School of Forestry, University of Montana, Missoula MT 59812
Concrete, WA 98237
A method for estimating site quality using height and diameter of dominant and codominant trees independent of tree age is examined. Easter hardwoods are the test species. Two parameters define the H-D site curves: a site parameter and a species parameter. The estimated site parameters increase with increasing site index and are significantly different between site classes. The estimated species parameters are species specific and are not significantly different between site classes. Curves for estimating site class are presented. Some species reach a higher proportion o f total height at a given diameter. The effects of these apparent height growth patterns are discussed from a silvicultural viewpoint. Stout and Shumway. 1982. For. Sci. 28: 639-645.
Site index, hardwoods
Douglas
Stow, Allen Hope, William Boynton, Stuart Phinn
Department
of Geography, San Diego State University, San Diego, CA 92182 4493, USA
Donald
Walker, Nancy Auerbach
Institute
of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, USA
Abstract
The spatial variability and co-variability of two different types of remote
sensing derivatives that portray vegetation and geomorphic patterns are analyzed
in the context of estimating regional-scale CO2 flux from land surfaces in the
arctic tundra, For a study area encompassing the Kuparuk River watershed of the
North Slope of Alaska, we compare satellite-derived maps of the normalized
difference vegetation index (NDVI) generated at two different spatial
resolutions to a map of vegetation types derived by image classification of data
from the Landsat multispectral scanner (MSS). Mean values of NDVI for each cover
type stratum are unique (with the exception of moist acidic tundra and shrubland
types), Based on analysis of semi-variograms generated for SPOT-NDVI data, most
of the vegetation cover and landform features of this arctic tundra landscape
have spatial dimensions of less than 1 km. Thaw lakes on the coastal plain and
glacial depositional landforms, such as moraines in the foothills, seem to be
the largest features, with vegetation units having dimensions no larger than 700
m. Frequency distributions of NDVI and vegetation types extracted for sampling
transects flown by an aircraft sensing CO2 flux, relative to distributions for
the entire Kuparuk River watershed, suggest a slight sampling bias towards
greater cover of mesic wet sedge tundra and thaw lakes and associated lower NDVI
values. The regional pattern of NDVI for the North Slope of Alaska corresponds
primarily to differences between the two major physiographic provinces of this
region. Stow and Boynton et al. 1998. Geomorphology. 21: 313-327.
Author
Keywords
arctic tundra, remote sensing, carbon dioxide, regional scaling, satellite
imagery, spectral vegetation indices
Key Words Plus
reflectance,
ecosystems, co2, exchange
Comparison
of diameter growth and crown competition factor in loblolly pine plantations
Mike
R. Strub
School
of Forest Resources, Pennsylvania State University, University Park, PA 16802
Richard B. Vasey, Harold
E. Burkhart
Division
of Forestry and Wildlife Resources, Virginia Polytechnic Institute and State
University (VPI & SU) Blacksburg, VA 24061
Abstract
Growth
in diameter at breast height (dbh) in loblolly pine plantations was compared
with that of open-grown trees. Data were collected in 240
plantations and from 81
open-grown pines. The age at which average diameter growth in plantations
diverges from that of open-grown trees was estimated for different site index
and stand density combinations and compared to the age at which the crown
competition factor (CCF) is
predicted to reach 100. Average diameter growth in stands consistently differed
from open-grown tree diameter growth- one year after the CCF reaches 100. This result is
potentially useful for forest growth simulation. Strub and Vasey et
al. 1975. For. Sci. 21: 427-431.
Additional
key words
Pinus
taeda, competition
Peter T. Sprinz
Department
of Forest Science, Texas Agricultural Experiment Station, Texas A&M
University System, College Station, TX 77843
Cheryl B. Talbert
Biological Sciences research Division, Weyerhaeuser Company, Tacoma, WA, 98477
Mike R. Strub
Southern Forestry Research Division, Weyerhaeuser Co., Hot Springs, Ak 71902
Abstract
An
analysis of average and dominant height, and height growth indicated the
geographic origin of planted loblolly pine significantly affected height
development through 29 years in Arkansas. For average and dominant height,
sources west of the Mississippi were shorter than eastern sources at all ages;
coastal Carolina and Virginia sources were taller than local sources from
Arkansas, northern Louisiana, east Texas, and Oklahoma at all ages. The interior
sources from northern Mississippi, Alabama, Georgia, and piedmont Carolina were
shorter than the coastal sources initially, but became similar by age 25.
It was also determined
that region rankings for dominant height remained fairly consistent with age,
hut the relative magnitudes of difference among regions decreased with age.
Region rankings for average and dominant heights were similar, but the relative
differences in magnitude were greater for average height than for dominant
height. A flexible height-age model suggested that while dominant height
maximized at a common level, the shape of development varied to that asymptote
with seed source. Lastly, it was found that region differences existed in the
shape and level of height growth over time. Eastern origin material showed the
greatest height growth initially, but the western origin stands had attained the
same height growth rate by age 20. Sprinz and Talbert et al.,1989.
For. Sci. 35: 677-691.
Additional
Key
Words
Pinus taeda, site index, genetic gains.
Lodgepole
pine regeneration in an old, self-perpetuating
forest in
South central Oregon
John
D. Stuart
College
of Natural Resources, Humboldt State University, Arcata, CA 95521,
U.S.A.
James
K. Agee
National
Park Service Cooperative Park Studies Unit, College of Forest Resources,
University of Washington, Seattle, WA 98195, U.S.A.
Robert
I. Gara
College
of Forest Resources, University of Washington, Seattle, WA 98195, U.S.A
Historic
regeneration patterns and regeneration requirements were investigated in an old,
self-regenerating lodgepole pine (Pinus contorta Dougl. ssp. murrayana
(Balf.) Critchfield) forest in south central Oregon. The forest was
multiaged, with episodic regeneration pulses being correlated with mountain pine
beetle (Dendroctonus ponderosae Hopk.) outbreaks or fire. The magnitude
of a regeneration pulse was a function of disturbance intensity. Tree ring
indices show growth declines prior to mountain pine beetle outbreaks. Radial
tree growth improved following disturbance.
Differences in stand structure
among climax lodgepole pine stands in the Rocky Mountains, Sierra Nevada, and
south central Oregon were related to disturbance type, frequency, and intensity.
Successful lodgepole pine reproduction was limited by soil moisture and partly
by microclimate. Shading did not inhibit seedling establishment, but rather
provided relief from excessive evapotranspiration, heat, and frost. Stuart
and Agee et al. 1989. Can. J. For. Res. 19: 1096-1104.
Regression
Problems from Repeated Measurements
Alfred D. Sullivan
Department of Forestry, Mississippi
State University, Mississippi State, 39762
Marion R. Reynolds, Jr.
Professor of Statistics and Forestry,
Virginia Polytechnic Institute and State University, Blacksburg, 24061
Abstract
Some
consequences of using
ordinary least
squares estimation procedures
with remeasurement data are explained.
Of particular concern is the
bias of variance
estimates and alteration
of the
confidence coefficient for confidence intervals
which result from
correlations in
the data.
Results are presented
allowing consideration
of the
problem's severity for
data with
two repeated measurements.
Finally, alternative estimation
procedures including generalized least squares and maximum likelihood are
discussed. Sullivan and Reynolds Jr. 1976. For. Sci. 22: 382-385.
Additional
key rods
Permanent
plot analysis,
correlated data