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 />
An environmental grid fo r<br />
classifying coniferous<br />
forest ecosystems<br />
R . H . Waring,<br />
K . L . Reed,<br />
W. H . Emmingham<br />
School of <strong>Forest</strong>ry<br />
Oregon State Universit y<br />
Corvallis, Orego n<br />
Abstract<br />
To develop models which will predict primary production and forest composition across the Biome, we<br />
suggest that the environment be defined operationally-as it affects certain plant responses . Models can be<br />
developed which indicate how water, nutrients, light, temperature, and mechanical factors interact through th e<br />
plant to control primary production and plant composition. Plant responses including water stress, stomatal<br />
behavior, foliar nutrition, and phenology, among others, were coupled to environmental variables to create plan t<br />
response indices for soil moisture, temperature, transpiration, and soil fertility . By correlating indicator species<br />
with plant response indices, an ecosystem can be defined environmentally without direct measurements . Other<br />
processes including biogeochemical cycling, consumer population dynamics, and hydrologic functions may als o<br />
be related to the environmental grid.<br />
Introduction<br />
Diversity in environment and vegetation i s<br />
characteristic of the Coniferous <strong>Forest</strong> Biome .<br />
Such diversity is esthetically pleasing but presents<br />
formidable problems of classification .<br />
Classification is necessary, however, if we ar e<br />
to understand the processes which affect the<br />
composition and allow for continued productivity<br />
of the forests and related water, wild -<br />
life, and recreational resources .<br />
If we could understand how the environment<br />
influences forest growth and composition,<br />
we would be well on the way toward<br />
reassessing our past management successe s<br />
and failures . We could also make our detailed<br />
ecosystem studies more widely applicable in<br />
both time and space, thus providing a frame -<br />
work for intelligent land management. Th e<br />
problem lies (a) in identifying which proper -<br />
ties of the environment should be measured ,<br />
(b) coupling these to important biological<br />
processes, and (c) finally in predicting certai n<br />
key properties of ecosystems .<br />
In this paper we attempt to establish a conceptual<br />
basis for evaluating environment, then<br />
test the general approach, and finally suggest<br />
necessary modifications to permit extensio n<br />
across the Coniferous <strong>Forest</strong> Biome .<br />
General Theory<br />
The Operational Environment<br />
Excellent descriptions of vegetation and<br />
regional physiography exist for many region s<br />
of the world . In the Pacific Northwest the<br />
most thorough treatments have been provide d<br />
by Daubenmire (1952), Krajina (1965), and<br />
Franklin and Dyrness (1969) . Detailed<br />
physiographic classification such as that developed<br />
by Hills (1959) has proven most use-<br />
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