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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 />

79

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