2006
DOI: 10.1016/j.envsci.2005.11.005
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Integrating multiple modelling approaches to predict the potential impacts of climate change on species’ distributions in contrasting regions: comparison and implications for policy

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Cited by 68 publications
(57 citation statements)
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“…Such analyses can be extended to more complex modelling of meta-population behaviour and habitat change (Opdam & Wascher 2004). Local effects of climate change on species distribution can be explored by integrating different models in a scale-dependant hierarchical framework, linking bioclimate niche models to land use and species dispersal models (Del Barrio et al 2006). Similar approaches could be developed by linking shifting strata with dispersal models (Verboom et al 2007).…”
Section: Ens Stratummentioning
confidence: 99%
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“…Such analyses can be extended to more complex modelling of meta-population behaviour and habitat change (Opdam & Wascher 2004). Local effects of climate change on species distribution can be explored by integrating different models in a scale-dependant hierarchical framework, linking bioclimate niche models to land use and species dispersal models (Del Barrio et al 2006). Similar approaches could be developed by linking shifting strata with dispersal models (Verboom et al 2007).…”
Section: Ens Stratummentioning
confidence: 99%
“…Similar approaches could be developed by linking shifting strata with dispersal models (Verboom et al 2007). Such regional studies could be of interest to regional or national governments or non-governmental organizations (Del Barrio et al 2006). Alternatively, by selecting representative sites across Europe, impacts on European habitats could be evaluated, or sample regions could be linked to socioeconomic scenarios describing different changes in demand (see Rounsevell et al 2006).…”
Section: Ens Stratummentioning
confidence: 99%
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“…Nevertheless, of the 65 BEM studies conducted since 1994 (62 of which have been since 2000), only 14 (21.5%) use projections from more than one GCM, and only 10 (15.4%) of these compare the results using multiple GCMs in conjunction with multiple climate change scenarios. A few studies (Thuiller, 2004;del Barrio et al, 2006;Harrison et al, 2006) have been based on more than one GCM and one scenario, but did not use a factorial design. In this paper, we present bioclimatic envelope predictions for C. nasturtii based on two different GCMs and two different SRES scenarios.…”
Section: Introductionmentioning
confidence: 99%
“…The findings highlight the potential resilience that species may exhibit to climate change when biotic and abiotic factors are considered. As a result, model outcomes of species response to climate at larger spatial scales may not be representative of species response at smaller spatial scales and vice versa (Bugmann et al 2000, Barrio et al 2006. In this study, disturbance drove change which affected the resilience of the existing communities following fire; particularly on dry sites and to a lesser extent on mesic sites.…”
Section: Resultsmentioning
confidence: 93%