Literature DB >> 25903067

A neutral theory with environmental stochasticity explains static and dynamic properties of ecological communities.

Michael Kalyuzhny1, Ronen Kadmon1, Nadav M Shnerb2.   

Abstract

Understanding the forces shaping ecological communities is crucial to basic science and conservation. Neutral theory has made considerable progress in explaining static properties of communities, like species abundance distributions (SADs), with a simple and generic model, but was criticised for making unrealistic predictions of fundamental dynamic patterns and for being sensitive to interspecific differences in fitness. Here, we show that a generalised neutral theory incorporating environmental stochasticity may resolve these limitations. We apply the theory to real data (the tropical forest of Barro Colorado Island) and demonstrate that it much better explains the properties of short-term population fluctuations and the decay of compositional similarity with time, while retaining the ability to explain SADs. Furthermore, the predictions are considerably more robust to interspecific fitness differences. Our results suggest that this integration of niches and stochasticity may serve as a minimalistic framework explaining fundamental static and dynamic characteristics of ecological communities.
© 2015 John Wiley & Sons Ltd/CNRS.

Keywords:  BCI; community dynamics; community similarity; demographic stochasticity; environmental stochasticity; fluctuation scaling; neutral theory; population fluctuations; species abundance distributions

Mesh:

Year:  2015        PMID: 25903067     DOI: 10.1111/ele.12439

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  14 in total

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3.  What drives the spatial distribution and dynamics of local species richness in tropical forest?

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4.  Stabilization of extensive fine-scale diversity by ecologically driven spatiotemporal chaos.

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-09       Impact factor: 11.205

5.  Environmental spatial and temporal variability and its role in non-favoured mutant dynamics.

Authors:  Suzan Farhang-Sardroodi; Amir H Darooneh; Mohammad Kohandel; Natalia L Komarova
Journal:  J R Soc Interface       Date:  2019-08-14       Impact factor: 4.118

6.  Exclusion of the fittest predicts microbial community diversity in fluctuating environments.

Authors:  Shota Shibasaki; Mauro Mobilia; Sara Mitri
Journal:  J R Soc Interface       Date:  2021-10-06       Impact factor: 4.293

7.  Noise-induced stabilization and fixation in fluctuating environment.

Authors:  Immanuel Meyer; Nadav M Shnerb
Journal:  Sci Rep       Date:  2018-06-27       Impact factor: 4.379

8.  Dispersal increases ecological selection by increasing effective community size.

Authors:  Ronen Ron; Ori Fragman-Sapir; Ronen Kadmon
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-15       Impact factor: 11.205

9.  Adding energy gradients and long-distance dispersal to a neutral model improves predictions of Madagascan bird diversity.

Authors:  Falko T Buschke; Luc Brendonck; Bram Vanschoenwinkel
Journal:  Ecol Evol       Date:  2016-09-07       Impact factor: 2.912

10.  Impact of environmental colored noise in single-species population dynamics.

Authors:  Tommaso Spanio; Jorge Hidalgo; Miguel A Muñoz
Journal:  Phys Rev E       Date:  2017-10-02       Impact factor: 2.529

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