Fitting and empirical evaluation of models for species abundance distributions

Connolly, Sean R., and Dornelas, Maria (2011) Fitting and empirical evaluation of models for species abundance distributions. In: Magurran, Anne E., and McGill, Brian J., (eds.) Biological diversity: frontiers in measurement and assessment. Oxford University Press, Oxford, UK, pp. 123-140.

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Abstract

Identifying and explaining patterns in the commonness and rarity of species has been a fundamental concern of community ecology for nearly a century (Chapter 8). Such species abundance distributions, when considered without reference to species identity, are particularly useful to ecologists for two reasons. Firstly, all assemblages have abundance distributions to compare with one another and, secondly, those distributions contain more information than univariate statistics such as species richness or other diversity metrics (McGill et al. 2007). Consequently, ecologists frequently analyse abundance distributions to identify systematic regularities that hold across disparate assemblages and to test ecological theory that purports to explain such regularities.

Item ID: 17342
Item Type: Book Chapter (Research - B1)
ISBN: 978-0-19-958067-5
Date Deposited: 02 Jun 2011 02:21
FoR Codes: 06 BIOLOGICAL SCIENCES > 0602 Ecology > 060202 Community Ecology (excl Invasive Species Ecology) @ 80%
01 MATHEMATICAL SCIENCES > 0104 Statistics > 010402 Biostatistics @ 20%
SEO Codes: 96 ENVIRONMENT > 9608 Flora, Fauna and Biodiversity > 960805 Flora, Fauna and Biodiversity at Regional or Larger Scales @ 100%
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