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Introducing untb, an R Package For Simulating Ecological Drift Under the Unified Neutral Theory of Biodiversity

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  • Hankin, Robin K. S.

Abstract

The distribution of abundance amongst species with similar ways of life is a classical problem in ecology. The unified neutral theory of biodiversity, due to Hubbell, states that observed population dynamics may be explained on the assumption of per capita equivalence amongst individuals. One can thus dispense with differences between species, and differences between abundant and rare species: all individuals behave alike in respect of their probabilities of reproducing and death. It is a striking fact that such a parsimonious theory results in a non-trivial dominancediversity curve (that is, the simultaneous existence of both abundant and rare species) and even more striking that the theory predicts abundance curves that match observations across a wide range of ecologies. This paper introduces the untb package of R routines, for numerical simulation of ecological drift under the unified neutral theory. A range of visualization, analytical, and simulation tools are provided in the package and these are presented with examples in the paper.

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  • Hankin, Robin K. S., 2007. "Introducing untb, an R Package For Simulating Ecological Drift Under the Unified Neutral Theory of Biodiversity," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i12).
    • Handle: RePEc:jss:jstsof:v:022:i12
    DOI: http://hdl.handle.net/10.18637/jss.v022.i12
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    Cited by:

    1. Guoxi Shi & Yongjun Liu & Lin Mao & Shengjing Jiang & Qi Zhang & Gang Cheng & Lizhe An & Guozhen Du & Huyuan Feng, 2014. "Relative Importance of Deterministic and Stochastic Processes in Driving Arbuscular Mycorrhizal Fungal Assemblage during the Spreading of a Toxic Plant," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.
    2. Sokol, Eric R. & Brown, Bryan L. & Carey, Cayelan C. & Tornwall, Brett M. & Swan, Christopher M. & Barrett, J.E., 2015. "Linking management to biodiversity in built ponds using metacommunity simulations," Ecological Modelling, Elsevier, vol. 296(C), pages 36-45.

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