2009
DOI: 10.1098/rspb.2008.1681
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Dynamics of range margins for metapopulations under climate change

Abstract: We link spatially explicit climate change predictions to a dynamic metapopulation model. Predictions of species' responses to climate change, incorporating metapopulation dynamics and elements of dispersal, allow us to explore the range margin dynamics for two lagomorphs of conservation concern. Although the lagomorphs have very different distribution patterns, shifts at the edge of the range were more pronounced than shifts in the overall metapopulation. For Romerolagus diazi (volcano rabbit), the lower eleva… Show more

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Cited by 276 publications
(300 citation statements)
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References 34 publications
(55 reference statements)
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“…Yet, only a quarter of these species increased their area of geographical distribution, supposedly because positive responses to climate warming were outweighed by negative effects of habitat fragmentation, especially for less mobile specialists (Travis 2003). Other empirical studies (Anderson et al 2009;Devictor et al 2008;Schwartz et al 2001) confirm for other species groups that a response to climate change may be hampered by habitat fragmentation.…”
Section: Introductionmentioning
confidence: 75%
“…Yet, only a quarter of these species increased their area of geographical distribution, supposedly because positive responses to climate warming were outweighed by negative effects of habitat fragmentation, especially for less mobile specialists (Travis 2003). Other empirical studies (Anderson et al 2009;Devictor et al 2008;Schwartz et al 2001) confirm for other species groups that a response to climate change may be hampered by habitat fragmentation.…”
Section: Introductionmentioning
confidence: 75%
“…Numerous species distribution models (SDMs), including process-based and bioclimatic envelope approaches, have been widely used to explore the impacts of climate change on species ranges . Although some process-based models can successfully integrate dispersal and metapopulation dynamics into forecasts of species geographic ranges (Anderson et al, 2009;Fordham et al, 2013), most of the currently available models are too complex in parameterization and validation in model application (Pearson and Dawson, 2003). The bioclimatic envelope models have various limitations (such as the assumption of equilibrium, the assumption of complete sampling of species niche, and insufficient inclusion of adaptation, evolution, and dispersal), they are still used by many researchers (Hannah et al, 2002;Huntley et al, 2010;Araújo and Peterson, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Concerning the latter, we incorporated the stochastic effect of pond desiccation as being the most relevant for the area and species under study, but the approach allows to assess the impact of spatial shifts in habitat suitability over time as well (see e.g. Anderson et al 2009;Schippers et al 2011). It is evident that uncertainties exist in the climate projections, model assumptions and parameter values (e.g.…”
Section: Discussionmentioning
confidence: 99%