Simple rules for ranking and optimally managing metapopulations

Ross, J. V. and Pollett, P. K. (2010) Simple rules for ranking and optimally managing metapopulations. Ecological Modelling, 221 21: 2515-2520. doi:10.1016/j.ecolmodel.2010.02.016

Author Ross, J. V.
Pollett, P. K.
Title Simple rules for ranking and optimally managing metapopulations
Journal name Ecological Modelling   Check publisher's open access policy
ISSN 0304-3800
Publication date 2010-10
Sub-type Article (original research)
DOI 10.1016/j.ecolmodel.2010.02.016
Volume 221
Issue 21
Start page 2515
End page 2520
Total pages 6
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Collection year 2011
Language eng
Abstract We present two 'rules of thumb' for metapopulation management. The first identifies an explicit formula for the persistence time of the population, and thus enables the population manager to form a priority species ranking by identifying those species most at risk of extinction. The second identifies an optimal management strategy that gives direction on how to alter the colonisation rate (creation or improvement of habitat corridors) and local extinction rate (restoring habitat quality or expanding habitat) in order to maximise the persistence time under a budgetary constraint. We employ a simple stochastic version of Levins (1969) metapopulation model, which is first calibrated to a more realistic spatial model. Our rules are tested on computer-generated patch networks and a model for malleefowl (Leipoa ocellata) in the Bakara region of South Australia. © 2010.
Keyword Costs
Rules of thumb
Spatially realistic
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2011 Collection
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 7 times in Scopus Article | Citations
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Created: Sun, 07 Nov 2010, 00:13:08 EST