Literature DB >> 18346758

Relaxing the zero-sum assumption in neutral biodiversity theory.

Bart Haegeman1, Rampal S Etienne.   

Abstract

The zero-sum assumption is one of the ingredients of the standard neutral model of biodiversity by Hubbell. It states that the community is saturated all the time, which in this model means that the total number of individuals in the community is constant over time, and therefore introduces a coupling between species abundances. It was shown recently that a neutral model with independent species, and thus without any coupling between species abundances, has the same sampling formula (given a fixed number of individuals in the sample) as the standard model [Etienne, R.S., Alonso, D., McKane, A.J., 2007. The zero-sum assumption in neutral biodiversity theory. J. Theor. Biol. 248, 522-536]. The equilibria of both models are therefore equivalent from a practical point of view. Here we show that this equivalence can be extended to a class of neutral models with density-dependence on the community-level. This result can be interpreted as robustness of the model, i.e. insensitivity of the model to the precise interaction of the species in a neutral community. It can also be interpreted as a lack of resolution, as different mechanisms of interactions between neutral species cannot be distinguished using only a single snapshot of species abundance data.

Mesh:

Year:  2008        PMID: 18346758     DOI: 10.1016/j.jtbi.2008.01.023

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  9 in total

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Journal:  PLoS One       Date:  2011-03-14       Impact factor: 3.240

8.  Non-zero-sum neutrality test for the tropical rain forest community using long-term between-census data.

Authors:  Yayoi Takeuchi; Hisashi Ohtsuki; Hideki Innan
Journal:  Ecol Evol       Date:  2022-01-17       Impact factor: 2.912

9.  Thirty years of forest census at Barro Colorado and the importance of immigration in maintaining diversity.

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Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

  9 in total

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