Literature DB >> 28712141

Carrying capacity in a heterogeneous environment with habitat connectivity.

Bo Zhang1, Alex Kula1, Keenan M L Mack2, Lu Zhai1,3, Arrix L Ryce1, Wei-Ming Ni4,5, Donald L DeAngelis6, J David Van Dyken1.   

Abstract

A large body of theory predicts that populations diffusing in heterogeneous environments reach higher total size than if non-diffusing, and, paradoxically, higher size than in a corresponding homogeneous environment. However, this theory and its assumptions have not been rigorously tested. Here, we extended previous theory to include exploitable resources, proving qualitatively novel results, which we tested experimentally using spatially diffusing laboratory populations of yeast. Consistent with previous theory, we predicted and experimentally observed that spatial diffusion increased total equilibrium population abundance in heterogeneous environments, with the effect size depending on the relationship between r and K. Refuting previous theory, however, we discovered that homogeneously distributed resources support higher total carrying capacity than heterogeneously distributed resources, even with species diffusion. Our results provide rigorous experimental tests of new and old theory, demonstrating how the traditional notion of carrying capacity is ambiguous for populations diffusing in spatially heterogeneous environments.
© 2017 John Wiley & Sons Ltd/CNRS.

Entities:  

Keywords:  Carrying capacity; consumer-resource model; dispersal experiment; environmental stressor; heterogeneous resource distribution; r-K relationship; spatially distributed population

Mesh:

Year:  2017        PMID: 28712141     DOI: 10.1111/ele.12807

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


  4 in total

1.  Dynamics of a consumer-resource reaction-diffusion model : Homogeneous versus heterogeneous environments.

Authors:  Xiaoqing He; King-Yeung Lam; Yuan Lou; Wei-Ming Ni
Journal:  J Math Biol       Date:  2019-01-02       Impact factor: 2.259

2.  Directed movement changes coexistence outcomes in heterogeneous environments.

Authors:  Bo Zhang; King-Yeung Lam; Wei-Ming Ni; Rossana Signorelli; Kevin M Collins; Zhiyuan Fu; Lu Zhai; Yuan Lou; Donald L DeAngelis; Alan Hastings
Journal:  Ecol Lett       Date:  2021-11-24       Impact factor: 9.492

3.  Foraging behaviours lead to spatiotemporal self-similar dynamics in grazing ecosystems.

Authors:  Zhenpeng Ge; Quan-Xing Liu
Journal:  Ecol Lett       Date:  2021-11-22       Impact factor: 11.274

4.  Impact of State-Dependent Dispersal on Disease Prevalence.

Authors:  Daozhou Gao; Yuan Lou
Journal:  J Nonlinear Sci       Date:  2021-07-03       Impact factor: 3.621

  4 in total

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