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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">Informing population models with evolutionary theory to infer species' conservation status</dc:title>
  <dc:type xmlns:dc="http://purl.org/dc/elements/1.1/">dataset</dc:type>
  <dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">https://portal.medin.org.uk/portal/start.php?tpc=006_5991bbac4c94574fb25bf451c6a98c1f</dc:identifier>
  <dc:description xmlns:dc="http://purl.org/dc/elements/1.1/">This dataset comprises life history models of Scombrids, long lived sea-birds, and Kittiwake birds. Existing datasets for these species were used to produce theory predicting the demographic rates that are correlated with suites of life history traits, and then generate more precise posterior estimates of these demographic rates by fitting a structured population model. These models aim to generate new insights about the relationship between life-history traits of marine species, environmental drivers such as resources and mortality, and resilience to anthropogenic or environmental perturbations. The data were generated by the project titled "Informing population models with evolutionary theory to infer species' conservation status" funded by NERC Discovery Science grant NE/P004180/1 led by Professor Jason Matthiopoulos and Dr Catharine Horswill at University of Glasgow Institute of Biodiversity, Animal Health &amp; Comparative Medicine.</dc:description>
  <dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">20220302 20231127</dc:date>
</oai_dc:dc>