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Using a metapopulation model of the fishery and simulated economic and ecological data, we show that it is possible in certain circumstances to recover both biological and economic parameters of a linked spatial-dynamic system from only economic data.
In this study, we examine the effect of size, spatial configuration and disturbances on the dynamic interactions of large herbivores and vegetation in a patchy environment using a metapopulation model.
Here we investigate this hypothesis using a metapopulation model.
Using a metapopulation model in which only a subset of populations is in direct contact with the GM crop, we found that population structure and population turnover impact the effectiveness of transgene introgression: more migration between populations or a higher extinction rate of populations leads to higher overall frequencies of the transgene.
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Another class of models focuses on the global scale, by using a metapopulation approach in which the population is spatially structured into patches or subpopulations (e.g. cities) where individuals mix.
We used a metapopulation and fishing simulation model (ELFSim) to assess the effects of three effort regimes in combination with three area closure regimes on the primary target species, common coral trout (Plectropomus leopardus).
We explore the relative effect of connectivity and habitat quality on solutions for optimal networks of MPA using eigenvalue perturbation theory and a metapopulation model.
A previous study that used a stochastic metapopulation model showed that frequent rest days in live poultry markets were effective for reducing transmission of avian influenza (H5N1) (10 ).
This empirical system motivated us to examine a metapopulation model of competition for patches in an open system with periodic forcing.
We developed a metapopulation model to explore the potential importance of dispersal behaviors in driving metapopulation dynamics.
The construction of a metapopulation model begins with the choice of factors that influence its dynamics.
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