Literature DB >> 12495479

A novel theory to explain species diversity in landscapes: positive frequency dependence and habitat suitability.

Jane Molofsky1, James D Bever.   

Abstract

Theories to explain the diversity of species have required that individual species occupy unique niches and/or vary in their response to environmental factors. Positive interactions within a species, although common in communities, have not been thought to maintain species diversity because in non-spatial models the more abundant species always outcompetes the rarer species. Here, we show, using a stochastic spatial model, that positive intraspecific interactions such as those caused by positive frequency dependence and/or priority effects, can maintain species diversity if interactions between individuals are primarily local and the habitat contains areas that cannot be colonized by any species, such as boulders or other physical obstructions. When intraspecific interactions are primarily neutral, species diversity will eventually erode to a single species. When the landscape is homogeneous (i.e. does not contain areas that cannot be colonized by any species), the presence of strong intraspecific interactions will not maintain diversity.

Mesh:

Year:  2002        PMID: 12495479      PMCID: PMC1691177          DOI: 10.1098/rspb.2002.2164

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  9 in total

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2.  Coexistence under positive frequency dependence.

Authors:  J Molofsky; J D Bever; J Antonovics
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  9 in total
  13 in total

1.  Differential response to frequency-dependent interactions: an experimental test using genotypes of an invasive grass.

Authors:  Alexandra Collins; E M Hart; J Molofsky
Journal:  Oecologia       Date:  2010-07-21       Impact factor: 3.225

2.  Effects of positive interactions, size symmetry of competition and abiotic stress on self-thinning in simulated plant populations.

Authors:  Cheng-Jin Chu; Jacob Weiner; Fernando T Maestre; You-Shi Wang; Charles Morris; Sa Xiao; Jian-Li Yuan; Guo-Zhen Du; Gang Wang
Journal:  Ann Bot       Date:  2010-07-19       Impact factor: 4.357

Review 3.  Microbial population and community dynamics on plant roots and their feedbacks on plant communities.

Authors:  James D Bever; Thomas G Platt; Elise R Morton
Journal:  Annu Rev Microbiol       Date:  2012-06-20       Impact factor: 15.500

4.  Applying modern coexistence theory to priority effects.

Authors:  Tess Nahanni Grainger; Andrew D Letten; Benjamin Gilbert; Tadashi Fukami
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-08       Impact factor: 11.205

5.  An invasive herbivore structures plant competitive dynamics.

Authors:  Lydia Wong; Tess Nahanni Grainger; Denon Start; Benjamin Gilbert
Journal:  Biol Lett       Date:  2017-11       Impact factor: 3.703

6.  Changes in precipitation patterns can destabilize plant species coexistence via changes in plant-soil feedback.

Authors:  Jan-Hendrik Dudenhöffer; Noah C Luecke; Kerri M Crawford
Journal:  Nat Ecol Evol       Date:  2022-03-28       Impact factor: 15.460

7.  Microbial phylotype composition and diversity predicts plant productivity and plant-soil feedbacks.

Authors:  James D Bever; Linda M Broadhurst; Peter H Thrall
Journal:  Ecol Lett       Date:  2012-12-06       Impact factor: 9.492

Review 8.  Microbiome influence on host community dynamics: Conceptual integration of microbiome feedback with classical host-microbe theory.

Authors:  Karen C Abbott; Maarten B Eppinga; James Umbanhowar; Mara Baudena; James D Bever
Journal:  Ecol Lett       Date:  2021-10-04       Impact factor: 11.274

9.  Spatial heterogeneity in soil microbes alters outcomes of plant competition.

Authors:  Karen C Abbott; Justine Karst; Lori A Biederman; Stuart R Borrett; Alan Hastings; Vonda Walsh; James D Bever
Journal:  PLoS One       Date:  2015-05-06       Impact factor: 3.240

Review 10.  Incorporating the soil environment and microbial community into plant competition theory.

Authors:  Po-Ju Ke; Takeshi Miki
Journal:  Front Microbiol       Date:  2015-10-08       Impact factor: 5.640

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