期刊
PHYSICAL REVIEW LETTERS
卷 98, 期 6, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.98.068104
关键词
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Scaling provides an elegant framework for understanding power-law behavior and deducing relationships between critical exponents. We demonstrate that scaling theory can be generalized to develop a framework for the analysis of diverse empirical macroecological relationships traditionally treated as independent. Our mathematical arguments predict links between the species-area relationship, the relative species abundance and community size spectra in excellent accord with empirical data.
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