PE EIE[R-Rg RESEARCH ON - HJ Andrews Experimental Forest
PE EIE[R-Rg RESEARCH ON - HJ Andrews Experimental Forest
PE EIE[R-Rg RESEARCH ON - HJ Andrews Experimental Forest
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Proceedings-Research on Coniferous <strong>Forest</strong> Ecosystems-A symposium.<br />
Bellingham, Washington-March 23-24, 197 2<br />
Criteria for selecting an optimal model:<br />
terrestrial photosynthesis<br />
Kenneth L . Ree d<br />
College of <strong>Forest</strong> Resources<br />
University of Washingto n<br />
Seattle, Washington 98196<br />
an d<br />
Warren L . Web b<br />
School of <strong>Forest</strong>r y<br />
Oregon State University<br />
Corvallis, Oregon 9733 1<br />
A bs tract<br />
In theory, there exists an infinite number of models of a given system. These models differ in resolution,<br />
scope, descriptive and predictive power. Because the models described in the literature generally reflect th e<br />
personal perspectives and goals of the researchers who developed the models, it is helpful to be able to evaluat e<br />
the potential of a given model to provide the information needed in another research problem . Several criteria<br />
for selection of models or modeling approach are suggested in this paper. The use of the criteria is illustrated by<br />
discussion of several mathematical models of photosynthesis taken from the literature . The models discussed<br />
include a linear regression model, an energy budget model, and models based on theory of enzyme kinetics and<br />
gas exchange .<br />
Introduction<br />
A great many models are available that de -<br />
scribe photosynthesis, some of which will be<br />
discussed below . Because of the many models<br />
now available, we had hoped that we woul d<br />
not have to develop a new model-that w e<br />
need only choose or modify an existing model .<br />
Thus it was necessary to consider certain criteria<br />
by which to judge the applicability of a<br />
given model to the purposes of the IBP .<br />
Several of the criteria will be discussed be -<br />
low. This list is probably not complete, but i s<br />
suggested as a guide to model selection, modeling<br />
approach, or both . Because most scientists<br />
are modelers in a broad sense, this discussion<br />
is intended primarily for those scientists<br />
who are least familiar with formal aspects<br />
of modeling .<br />
Criteria for Model Selectio n<br />
Because plant growth and presumably community<br />
composition are greatly influenced b y<br />
photosynthetic capacity, that phenomeno n<br />
has been the object of a great deal of study .<br />
Photosynthesis is only one component of the<br />
biochemical system resulting in plant growth .<br />
Failure to consider other factors in growth, a s<br />
well as the fact that photosynthesis can be<br />
uncoupled from growth, results in the general<br />
failure of attempts to predict growth from<br />
photosynthesis. However, a model of photosynthesis<br />
is an important component of a<br />
growth model and because the process o f<br />
photosynthesis is a physical-chemical system ,<br />
attempts to model photosynthesis should b e<br />
consistent with some basic tenets of systems<br />
theory as well as physical reality .<br />
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