Literature DB >> 15729667

Metapopulation persistence in heterogeneous landscapes: lessons about the effect of stochasticity.

Karin Frank1.   

Abstract

This article addresses an important aspect of the analysis of metapopulation persistence. It highlights some consequences of ignoring and including stochasticity in the sequence of extinction and colonization events. The results are based on a comparative analysis of the outcomes of two (one deterministic, one stochastic) spatially realistic metapopulation models and a search for common effects and differences. One key result of the article is that, under certain conditions, there are extra effects of the landscape structure (number and configuration of patches, patch size distribution) on metapopulation persistence if stochasticity is included. In these cases, ignoring or including stochasticity can change conclusions about the persistence status but also ranking orders, relative results, and qualitative trends. A list of conditions is provided under which including stochasticity is vital to prevent counterproductive conclusions about metapopulation persistence. The results of the overall study are condensed in five lessons about the effect of stochasticity. A number of implications for ecological theory and conservation management are discussed. The study demonstrates the potential of three recently published approximation formulas (metapopulation capacity lambdaM, mean lifetime Tm, and effective number of patches N) to serve as tools for ecological analysis and thinking.

Mesh:

Year:  2005        PMID: 15729667     DOI: 10.1086/428293

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  3 in total

1.  Rapid viability analysis for metapopulations in dynamic habitat networks.

Authors:  Martin Drechsler; Karin Johst
Journal:  Proc Biol Sci       Date:  2010-02-17       Impact factor: 5.349

2.  Experimental demonstration of accelerated extinction in source-sink metapopulations.

Authors:  John M Drake; Blaine D Griffen
Journal:  Ecol Evol       Date:  2013-08-22       Impact factor: 2.912

3.  Spatiotemporal disturbance characteristics determine functional stability and collapse risk of simulated microbial ecosystems.

Authors:  Sara König; Anja Worrich; Thomas Banitz; Florian Centler; Hauke Harms; Matthias Kästner; Anja Miltner; Lukas Y Wick; Martin Thullner; Karin Frank
Journal:  Sci Rep       Date:  2018-06-22       Impact factor: 4.379

  3 in total

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