Species Abundance Patterns: The Problem of Testing Stochastic Models
DOKPE
- Bersier, Louis-Félix ORCID University of Fribourg
- Sugihara, George University of California at San Diego
- 2006
Published in:
- The Journal of Animal Ecology. - JSTOR. - 2006, vol. 66, no. 5, p. 769
English
1. Tokeshi (1990) proposed a goodness-of-fit test to distinguish among a general class of stochastic species abundance models using field data. This test is a good first step, but it is impaired by some shortcomings: there is no adjustment for the number of species (the rejection rate increases with the number of species in a data set); the variance of the generated abundance distributions are not taken into account (data sets with higher variance than a model are not rejected).
2. We propose an alternative Monte Carlo test that overcomes these problems. This is a versatile test that can be used with any stochastic model generating distributions. Key-words: goodness-of-fit test, Monte Carlo methods, community structure, species diversity.
2. We propose an alternative Monte Carlo test that overcomes these problems. This is a versatile test that can be used with any stochastic model generating distributions. Key-words: goodness-of-fit test, Monte Carlo methods, community structure, species diversity.
- Faculty
- Faculté des sciences et de médecine
- Department
- Département de Biologie
- Language
-
- English
- Classification
- Biological sciences
- License
-
Rights reserved
- Open access status
- green
- Identifiers
-
- DOI 10.2307/5927
- ISSN 0021-8790
- Persistent URL
- https://folia.unifr.ch/unifr/documents/332622
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