Model-based analysis of the influence of ecological processes on forest point pattern formation-A case study
Authored by Arne Pommerening, Dietrich Stoyan, Valerie LeMay
Date Published: 2011
DOI: 10.1016/j.ecolmodel.2010.10.019
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Model Documentation:
ODD
Mathematical description
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Abstract
Many different spatio-temporal individual-based models (IBM) for forests
have been developed for studying the development of trees in space and
time. Such models typically depend on various numerical parameters that
represent the ecological processes of growth (G), inter-plant
competition (C) and birth-and-death (B \& D; also called regeneration
and mortality). Until now little work has been done to systematically
trace the influence of these processes and their model parameters on the
spatial structure of forest ecosystems.
This paper attempts to fill this gap by addressing an important aspect
of forest structure, spatial variability, characterised by the mark
variogram as a summary characteristic. The model used was inspired by
components of various well-established IBMs including a shot-noise
competition field. Time series data from monospecies forests in three
different countries of the northern hemisphere provided ecological
reference scenarios. Though a case study, the paper's methodology is
rather general and can be applied to any model and forest ecosystem.
Methods of sensitivity analysis revealed that only a small number of
model parameters is crucial for forming spatial variability.
Particularly important is the range of competition between trees; with
increasing range the variability increases. Growth processes have
considerable importance particularly with short observation periods and
in young forests, whereas mortality processes become more influential in
the long-term. Naturally, these statements depend upon the initial
structure and on the length of the observation period. (C) 2010 Elsevier
B.V. All rights reserved.
Tags
Dynamics
Sensitivity-analysis
Indexes
Neighborhood competition
Field-measurements
Stands
Trees
Spruce picea-sitchensis
Basal area growth
Process statistics