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<br />r <br /> <br />." . <br /> <br />- 583 - <br /> <br /> 4 <br /> 2 <br /> . <br /> 0.37 <br />t:::1 3 2 <br />2 . <br />I- 0.47 4 3(/) <br />Z . W <br />w 0.69 41- <br />z ~ <br />0 Z <br />Q.. . ~ <br />='E I 6 0.85 50 <br />0 . U <br />0 . 0.89 <br />u 0.18 6 <br /> I I <br /> 0 2 4 -I 0 <br /> COMPONENT I <br /> <br />Fig. 8 - Counties mapped on principal components, with annual precipitation amounts and <br />their dendritic clustering <br /> <br />A. Intensive-Farming Complex <br /> <br />Ample precipitation <br />~luch harvested cropland <br />~luch value in equipment <br />Dense population <br />Industry-added value <br />Cropland grazed <br />Cropland in cover <br />High value/farm acre <br />Oats produced <br /> <br />B. Ranching Complex <br /> <br />C. 'Irrigation-Fallow Complex <br /> <br />~luch idle cropland <br />~luch hay produced <br />Much head of cattle raised <br />Much corn produced <br />Many sheep raised <br />Much failed cropland <br />Little of land farmed <br />Much wheat produced <br /> <br />Much irrigated land <br />~luch fallow cropland <br />Much wheat produced <br />Much pasture and range <br />Much rye produced <br />Large farms <br />~luch barley grown <br />Low value/farm <br /> <br />High ranking in a list implies only that the descriptor is present to a greater extent in <br />that group than in others; it does not infer importance to that descriptor in the function- <br />ing of the complex. <br /> <br />Several conclusions follow from even this preliminary exploration of the methods. First, <br />the principal component distinguishing county from county is strongly correlated with <br />precipitation, and there is a secondary component perhaps nonlinearly related to precipita- <br />tion. second, the complex of descriptors characteristic of intensive farming is strongly <br />correlated with precipitation. Third, there are abundant suggestions of more varied and <br />complex dependencies, direct and indirect, on precipitation. Fourth, more sophisticated <br />selection of data, focused on selected issues, promises great improvement in the sharpness <br />with which the issues can be resolved. Application of various classification procedures <br />to refinement of the method of homoclimes appears very feasible. Application to data sets <br />drawn from aspects of the environment other than farming is contemplated. <br /> <br />5. Conclusions <br /> <br />a. An integrative or holistic approach to describing how precipitation management may <br />affect environments forms a valuable and necessary complement to the componential approach. <br />The understanding it may yield of how precipitation is related to an environmental system <br />as a ~hole is beyond the reach of present analytic approaches that deal with effects of <br />precipitation management on one or another component. <br /> <br />b. To study effects spanning 10 years or less, it is best to examine changes that have <br />occurred in the study area itself during past natural precipitation fluctuations of the <br />same sort as those expected to result from precipitation management. <br />