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A fundamental but unsolved dilemma is that observation and prediction scales are often mismatched. Reconciling this mismatch largely depends on how to design samples on a heterogeneous landscape. In this study, we used a coupled modeling approach to investigate the effects of plot number and location on predicting tree species distribution at the landscape scale. We used an ecosystem process model...
Introduction Extrapolating plot data to broader spatial scales depends largely on environmental heterogeneity. Objectives We studied this subject in the Changbai Mountains Natural Reserve in northeastern China by examining three scenarios of environmental heterogeneity. Scenarios 1, 2 and 3 represented local, class and zonal scale, and corresponded to the highest, intermediate and lowest...
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