EMPIRICAL EVALUATION OF NEUTRAL THEORY
作者： Brian J. McGill , Brian A. Maurer , Michael D. Weiser
DOI: 10.1890/0012-9658(2006)87[1411:EEONT]2.0.CO;2
关键词:
摘要: We describe a general framework for testing neutral theory. summarize similarities and differences between ten different versions of Two central predictions theory are that species abundance distributions will follow zero-sum multinomial distribution community composition change over space due to dispersal limitation. review all published empirical tests With the exception one type test, fail support identify perform several new tests. Specifically, we develop set best practices fit (ZSM) vs. lognormal null hypothesis apply this data set, concluding outperforms on robust explore whether priori parameterization is possible, conclude it not. show non-curve-fitting readily derived from easily falsifiable. In toto, there current overwhelming weight evidence against suggest some next steps
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