<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-31T04:52:40Z</responseDate><request verb="GetRecord" identifier="oai:riuma.uma.es:10630/7051" metadataPrefix="marc">https://riuma.uma.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:riuma.uma.es:10630/7051</identifier><datestamp>2026-02-03T11:18:33Z</datestamp><setSpec>com_10630_2254</setSpec><setSpec>col_10630_37953</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">Muñoz-Gallego, Antonio Román</subfield>
      <subfield code="e">author</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Márquez-Moya, Ana Luz</subfield>
      <subfield code="e">author</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Real-Giménez, Raimundo</subfield>
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   <datafield ind2=" " ind1=" " tag="260">
      <subfield code="c">2013-06-28</subfield>
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      <subfield code="a">To plan endangered species conservation and to design adequate management programmes, it is necessary to predict their&#xd;
distributional response to climate change, especially under the current situation of rapid change. However, these&#xd;
predictions are customarily done by relating de novo the distribution of the species with climatic conditions with no regard&#xd;
of previously available knowledge about the factors affecting the species distribution. We propose to take advantage of&#xd;
known species distribution models, but proceeding to update them with the variables yielded by climatic models before&#xd;
projecting them to the future. To exemplify our proposal, the availability of suitable habitat across Spain for the endangered&#xd;
Bonelli’s Eagle (Aquila fasciata) was modelled by updating a pre-existing model based on current climate and topography to&#xd;
a combination of different general circulation models and Special Report on Emissions Scenarios. Our results suggested that&#xd;
the main threat for this endangered species would not be climate change, since all forecasting models show that its&#xd;
distribution will be maintained and increased in mainland Spain for all the XXI century. We remark on the importance of&#xd;
linking conservation biology with distribution modelling by updating existing models, frequently available for endangered&#xd;
species, considering all the known factors conditioning the species’ distribution, instead of building new models that are&#xd;
based on climate change variables only.</subfield>
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      <subfield code="a">Muñoz A-R, Márquez AL, Real R (2013) Updating Known Distribution Models for Forecasting Climate Change Impact on Endangered Species. PLoS ONE 8(6): e65462. doi:10.1371/journal.pone.0065462</subfield>
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      <subfield code="a">1932-6203 (Electronic)</subfield>
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      <subfield code="a">http://hdl.handle.net/10630/7051</subfield>
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      <subfield code="a">Animales en vías de extinción - Factores climáticos</subfield>
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   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Extinción (Biología) - Factores climáticos</subfield>
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   <datafield ind2="0" ind1="0" tag="245">
      <subfield code="a">Updating known distribution models for forecasting climate change impact on endangered species</subfield>
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