Habitat fragmentation: Simple models for local persistence and the spread of invasive species

Understanding the persistence and growth of natural populations in environments subject to random localised change is relevant both to the conservation of threatened species and to the control of invasive species. By developing and analysing simple strategic growth models in environments subject to...

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Bibliographic Details
Published in:Journal of theoretical biology Vol. 310; pp. 231 - 238
Main Authors: Brown, R.G., James, A.F., Pitchford, J.W., Plank, M.J.
Format: Journal Article
Language:English
Published: England Elsevier Ltd 07.10.2012
Subjects:
Animals
Computer Simulation
Conservation of Natural Resources
Control
Ecosystem
extinction
growth models
habitat fragmentation
Introduced Species
Invasion
invasive species
Models, Biological
Population Dynamics
Spatial model
Stochastic model
Stochastic Processes
threatened species
Time Factors
Stochastic model
Control
Spatial model
Invasion
ISSN:0022-5193, 1095-8541, 1095-8541
Online Access:Get full text
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Summary:Understanding the persistence and growth of natural populations in environments subject to random localised change is relevant both to the conservation of threatened species and to the control of invasive species. By developing and analysing simple strategic growth models in environments subject to random fragmentation events, we show that simple approximations can be used to predict invasion speeds and extinction probabilities. The rate and size of fragmentation events interact in a nonlinear way, a finding with important consequences for the efficient control of invasive species. Infrequent, large-scale fragmentation events provide more effective means of control than more frequent, smaller scale efforts. ► Population spread speed and persistence in a randomly fragmented environment. ► Continuum limit of stochastic process allows analytical insight into spatial phenomena. ► Implications for control of invasive species.
Bibliography:http://dx.doi.org/10.1016/j.jtbi.2012.06.033
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ISSN:0022-5193
1095-8541
1095-8541
DOI:10.1016/j.jtbi.2012.06.033