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PE EIE[R-Rg RESEARCH ON - HJ Andrews Experimental Forest

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other. The plant integrates environmenta l<br />

stimuli. Arrows indicate the direction of flow ,<br />

and circles are special functions regulated b y<br />

information from the plant integrator .<br />

We interpret environmental variables as<br />

being external to the system and impingin g<br />

upon it . The system, in this case the organism ,<br />

responds only in accordance to the externa l<br />

stimuli. Modifications in the environmen t<br />

brought about by the organism itself are no t<br />

distinguished from those originating throug h<br />

other means .<br />

The amount of material transfer from environment<br />

to plant is determined by the kin d<br />

and magnitude of the response ; i .e., the<br />

amount of CO2 converted into carbohydrate<br />

is determined by the photosynthetic rate . The<br />

amount of carbohydrate utilized in th e<br />

growth of foliage, stem, and roots is also<br />

affected by the stage of plant development<br />

and other plant responses . As long as the carbohydrate<br />

pool does not become exhausted ,<br />

or one of the plant responses is not death,<br />

biomass can accumulate .<br />

When the environment initiates a letha l<br />

plant response, the transfer of carbohydrate s<br />

is stopped and all of the biomass compartments<br />

empty . Biomass loss also occur s<br />

through respiration, consumption by animals,<br />

the normal fall of litter, and death of roots<br />

and twigs .<br />

Unfortunately, we do not, at present, have<br />

adequate knowledge for complete evaluatio n<br />

of such an energy flow model, even for a<br />

single species . We hope to acquire muc h<br />

needed data through the Biome program. Still<br />

it is safe to say that we will lack complete<br />

data on most species to predict accurately th e<br />

system 's response to external variables . Our<br />

approach, therefore, is to study physiologica l<br />

responses in relation to the environment ,<br />

develop functional models, and from thes e<br />

create plant response indices as a means of<br />

interpreting environmental gradients . Further ,<br />

we propose to correlate ecosystem propertie s<br />

with these plant response indices . Figure 2<br />

ENVIR<strong>ON</strong>MENTA L<br />

STIMUL I<br />

Absolute Humidit y<br />

Radiation<br />

Air & Soil Temperature<br />

Soil Wate r<br />

Soil Fertility<br />

Wind and Snow<br />

PLANT RESP<strong>ON</strong>SE<br />

INDICES<br />

ECOSYSTE M<br />

CHARACTERISTIC S<br />

Plant Moisture Stress<br />

Productivity<br />

Transpiratio n<br />

Compositio n<br />

PHYSIOLOGICAL<br />

CALIBRATI<strong>ON</strong><br />

j---* Photosynthesi s _<br />

Hydrologic Stat e<br />

PROCESS MODELS<br />

VALIDATI<strong>ON</strong><br />

Nutritional<br />

Decomposition<br />

4<br />

PREDICTI<strong>ON</strong><br />

Temperature Growth Consumer Population s<br />

Mechanical Stress<br />

/<br />

/ PHYSIOLOGICA L<br />

/ BEHAVIO R<br />

Stomatal Respons e<br />

Cambial Activity<br />

Photosynthesi s<br />

Transpiration<br />

Plant Moisture Stres s<br />

Phenology<br />

Foliar Nutritio n<br />

Figure 2 . Physiological process models couple environmental stimuli to the physiological behavior of selecte d<br />

conifers . From an understanding of the process models, plant response indices are derived which reflec t<br />

major environmental gradients . These indices locate ecosystems within an environmental grid and throug h<br />

correlation permit certain ecosystem characteristics to be predicted .<br />

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