Chris J. Cieszewski, Michal Zasada, Mike Strub
Second International Conference on Forest Measurements and Quantitative Methods
and Management &
The 2004 Southern Mensurationists Meeting pp. 227 - 246 June 2004
Abstract:
Using historical growth series data of Scots pine (Pinus sylvestris L.) in central
Europe we examine several approaches to site dependent height-age model derivation. We
consider several renowned base models (two-dimensional equations, such as Y=f(t)) and
anamorphic and polymorphic dynamic site equations (three-dimensional site-height-age
models, such as Y=f(t,t0,y0)) derived from them. The considered base models were selected
as previously suitable for Scots pine in other studies, and they were different variations of
the Gompertz and Hossfeld models. We compare all the models with each other in terms
of their fits to our data. The base models were fit to individual site classes. The derived
base-age invariant anamorphic and polymorphic dynamic site equations were fit to all sites
pooled together. All the fits were based on base-age invariant stochastic regressions, in
which the global model parameters that are common to all data are estimated
simultaneously with the site-specific effects that are different for each of the site
productivity series. The presented models, methods, and conclusions, are also applicable to
modeling of other stand growth attributes and species.
Author Keywords:
yield tables, site productivity, site index model, growth model, dynamic
equations, initial condition models
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Addresses:
Chris J. Cieszewski, Warnell School of Forest Resources, University of Georgia,
Athens, GA 30602
Michal Zasada, Warnell School of Forest Resources, University of Georgia, Athens, GA 30602 and Department of Dendrometry and Forest Productivity, Faculty of Forestry, Warsaw Agricultural University, Nowoursynowska 159, building #34, 00-776 Warsaw, Poland
Mike Strub, Warnell School of Forest Resources, University of Georgia, Athens, GA 30602 and Weyerhaeuser Company Inc., PO Box 1060, Hot Springs, AR 71902
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