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<br />Hammond); natural vegetation; dominant plant taxa; land use; and habitat type. This <br />stratification leads to partitioning into individualized geomorphic regions with homogeneous <br />properties which can be generalized throughout the subregion. The generalization may be <br />extended to other subregions to the extent to which they resemble each other in their important <br />properties. Methods are available for systematic expression of the degrees of similarity. <br />Transfer of information.- The theme is generalization from a particular experiment to new <br />situations. Two methods of generalization are recognized, classification and dynamic models. <br />Classification goes by important similarities, assuming a corresponding similarity in underlying <br />processes, qualified by differences in geologic substrate and weather patterns. Dynamic models <br />are analytic-mathematical expressions of understanding or hypotheses applied to the subject <br />matter. The models may be validated by experimentation on two levels of generality, that of <br />total system behavior and that of specific interaction. In ecosystem studies, focus on nutrient <br />cycling is to be preferred to that on energy flow. <br />Models for most natural ecosystems cart predict within about 20 percent for most data. <br />Predictions are limited by errors accumulating from imperfect knowledge of processes and <br />natural variabilities. A model that verifies over a span of 10 to 25 years can be considered as <br />validated. One way of , applying the model concept would be to analyze carbon gain in a game of <br />interspecies competition. <br />The probl~m of extrapolation may be approached by learning how a set of components critical <br />to ecosystem functioning changes with precipitation, validating the model in one area, and then <br />carrying it over to other areas. Critical components include primary above-ground production, <br />primary production by important species, decomposition, soil moisture and runoff, fixation and <br />leaching of nitrogen, phytosociology and species diversity, cations, and invertebrates. <br />Year-to-year and area-to-area variations present a problem. <br />Ecosystem studies should be repeated in similar but not identical regions and relating the <br />integr~ty of predictions with similarity between regions. <br />Process-oriented ecosystem studies should observe the following principles. The degree of <br />resolution needed depends on the objective, as to whether all processes or only significant ones <br />are to be included, using standard techniques for interrelating species, decomposition, runoff, <br />nitrogen fixation/leaching, etc. Complexity and uncertainity will ordinarily limit the number of <br />components to the most important few. Budget restrictions will also limit the number of <br />components. <br />About 20 percent of the effort should be allocated to the setting of objectives. Processes, not <br />initial conditions, should be the focus of measurement programs. After five iterations of a process <br />model, initial conditions lose significance. All important analytic levels, from abiotic to <br />vegetation, animals, etc., should be combined into a single comprehensive systems analysis. <br />Programs of education and information.-Programs of public education and information <br />should be continued and expanded. <br /> <br />16 <br /> <br />,[ <br /> <br />,~ <br /> <br />y <br />