Literature DB >> 20135238

Effects of demographic stochasticity on population persistence in advective media.

Allison Kolpas1, Roger M Nisbet.   

Abstract

Many populations live and disperse in advective media. A fundamental question, known as the "drift paradox" in stream ecology, is how a closed population can survive when it is constantly being transported downstream by the flow. Recent population-level models have focused on the role of diffusive movement in balancing the effects of advection, predicting critical conditions for persistence. Here, we formulate an individual-based stochastic analog of the model described in (Lutscher et al., SIAM Rev. 47(4):749-772, 2005) to quantify the effects of demographic stochasticity on persistence. Population dynamics are modeled as a logistic growth process and dispersal as a position-jump process on a finite domain divided into patches. When there is no correlation in the interpatch movement of residents, stochasticity simply smooths the persistence-extinction boundary. However, when individuals disperse in "packets" from one patch to another and the flow field is memoryless on the timescale of packet transport, the probability of persistence is greatly enhanced. The latter transport mechanism may be characteristic of larval dispersal in the coastal ocean or wind-dispersed seed pods.

Mesh:

Year:  2010        PMID: 20135238     DOI: 10.1007/s11538-009-9489-4

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  3 in total

1.  Population persistence in river networks.

Authors:  Jonathan Sarhad; Robert Carlson; Kurt E Anderson
Journal:  J Math Biol       Date:  2013-07-12       Impact factor: 2.259

2.  Mean occupancy time: linking mechanistic movement models, population dynamics and landscape ecology to population persistence.

Authors:  Christina A Cobbold; Frithjof Lutscher
Journal:  J Math Biol       Date:  2013-01-20       Impact factor: 2.259

3.  Stochastic population dynamics of a montane ground-dwelling squirrel.

Authors:  Jeffrey A Hostetler; Eva Kneip; Dirk H Van Vuren; Madan K Oli
Journal:  PLoS One       Date:  2012-03-27       Impact factor: 3.240

  3 in total

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