Literature DB >> 9000491

The stability and persistence of mutualisms embedded in community interactions.

M S Ringel1, H H Hu, G Anderson.   

Abstract

In this paper we argue that two-species models of mutualism may be oversimplifications of the real world that lead to erroneous predictions. We present a four-species model of a pollination mutualism embedded in other types of community interactions. Conclusions derived from two-species models about the destabilizing effect of mutualisms are misleading when applied to the present scenario; although the mutualisms are locally destabilizing, the effect is more than canceled by an increased chance of feasibility. The crucial difference is the interaction of the mutualists with other species in a larger web. Furthermore, community persistence (without unrealistic population explosion), arguably a superior ecological criterion, is greatly enhanced by the presence of mutualisms. Therefore, we predict that mutualisms should be common in the real world, a prediction matching empirial findings and in contrast to the predictions from local stability analysis of basic two-species models. This method of stabilizing a mutualism appears superior in some ways to the often-used method of introducing density dependence in the strength of the mutualism, because it permits obligate mutualisms to exist even at low densities, again matching empirical findings. Lastly, this study is an example of how complex model assemblages can behave qualitatively differently from analogous simpler ones.

Mesh:

Year:  1996        PMID: 9000491     DOI: 10.1006/tpbi.1996.0032

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  12 in total

1.  Expanding comparative-advantage biological market models: contingency of mutualism on partners' resource requirements and acquisition trade-offs.

Authors:  Jason D Hoeksema; Mark W Schwartz
Journal:  Proc Biol Sci       Date:  2003-05-07       Impact factor: 5.349

2.  Consequences of symbiosis for food web dynamics.

Authors:  B W Kooi; L D J Kuijper; S A L M Kooijman
Journal:  J Math Biol       Date:  2004-01-02       Impact factor: 2.259

3.  A network model for plant-pollinator community assembly.

Authors:  Colin Campbell; Suann Yang; Réka Albert; Katriona Shea
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-20       Impact factor: 11.205

4.  Antagonisms, mutualisms and commensalisms affect outbreak dynamics of the southern pine beetle.

Authors:  Richard W Hofstetter; James T Cronin; Kier D Klepzig; John C Moser; Matthew P Ayres
Journal:  Oecologia       Date:  2005-12-02       Impact factor: 3.225

5.  Critical slowing down as early warning for the onset of collapse in mutualistic communities.

Authors:  Vasilis Dakos; Jordi Bascompte
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-24       Impact factor: 11.205

6.  Density-dependent outcomes in a digestive mutualism between carnivorous Roridula plants and their associated hemipterans.

Authors:  Bruce Anderson; Jeremy J Midgley
Journal:  Oecologia       Date:  2007-01-13       Impact factor: 3.298

7.  Molecular ecological network analysis reveals the effects of probiotics and florfenicol on intestinal microbiota homeostasis: An example of sea cucumber.

Authors:  Gang Yang; Mo Peng; Xiangli Tian; Shuanglin Dong
Journal:  Sci Rep       Date:  2017-07-06       Impact factor: 4.379

8.  Mutualism increases diversity, stability, and function of multiplex networks that integrate pollinators into food webs.

Authors:  Kayla R S Hale; Fernanda S Valdovinos; Neo D Martinez
Journal:  Nat Commun       Date:  2020-05-01       Impact factor: 14.919

9.  Molecular evidence for an active endogenous microbiome beneath glacial ice.

Authors:  Trinity L Hamilton; John W Peters; Mark L Skidmore; Eric S Boyd
Journal:  ISME J       Date:  2013-03-14       Impact factor: 10.302

10.  Population cycles emerging through multiple interaction types.

Authors:  Naoya Mitani; Akihiko Mougi
Journal:  R Soc Open Sci       Date:  2017-09-27       Impact factor: 2.963

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