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Updating Known Distribution Models for Forecasting Climate Change Impact on Endangered Species
Authors:Antonio-Román Mu?oz  Ana Luz Márquez  Raimundo Real
Affiliation:1. Biogeography, Diversity and Conservation Research Team, Dept. of Animal Biology, Faculty of Sciences, University of Malaga, Malaga, Spain.; 2. Fundación Migres, N-340, Km. 96 Huerta Grande, Pelayo, Algeciras, Spain.; 3. Depto. de Didáctica de las Matemáticas, de las Ciencias Sociales y de las Ciencias Experimentales, Faculty of Education Sciences, University of Malaga, Malaga, Spain.; Bangor University, United Kingdom,
Abstract:To plan endangered species conservation and to design adequate management programmes, it is necessary to predict their distributional response to climate change, especially under the current situation of rapid change. However, these predictions are customarily done by relating de novo the distribution of the species with climatic conditions with no regard of previously available knowledge about the factors affecting the species distribution. We propose to take advantage of known species distribution models, but proceeding to update them with the variables yielded by climatic models before projecting them to the future. To exemplify our proposal, the availability of suitable habitat across Spain for the endangered Bonelli''s Eagle (Aquila fasciata) was modelled by updating a pre-existing model based on current climate and topography to a combination of different general circulation models and Special Report on Emissions Scenarios. Our results suggested that the main threat for this endangered species would not be climate change, since all forecasting models show that its distribution will be maintained and increased in mainland Spain for all the XXI century. We remark on the importance of linking conservation biology with distribution modelling by updating existing models, frequently available for endangered species, considering all the known factors conditioning the species'' distribution, instead of building new models that are based on climate change variables only.
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