作者: Silvia Zaoli , Andrea Giometto , Amos Maritan , Andrea Rinaldo
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摘要: Scaling laws in ecology, intended both as functional relationships among ecologically relevant quantities and the probability distributions that characterize their occurrence, have long attracted interest of empiricists theoreticians. Empirical evidence exists power associated with number species inhabiting an ecosystem, abundances, traits. Although form appears to be ubiquitous, empirical scaling exponents vary ecosystem type resource supply rate. The idea ecological are linked has been entertained before, but full extent macroecological pattern covariations, role constraints imposed by finite supply, a comprehensive verification still unexplored. Here, we propose theoretical framework predicts linkages several patterns related species’ abundances body sizes. We show such is consistent stationary-state statistics broad class resource-limited community dynamics models, regardless parameterization model assumptions. verify predicted covariations contrasting data provide testable hypotheses for yet unexplored patterns. thus place observed variability into coherent statistical where ecology embed constrained fluctuations.