Amphibians over the edge: silent extinction risk of Data Deficient species

AIM: To apply mathematical models to the task of predicting extinction risk for species currently listed as ‘Data Deficient’ (DD) by the International Union for the Conservation of Nature (IUCN). We demonstrate this approach by applying it globally to amphibians, the vertebrate group recognized as b...

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Veröffentlicht in:	Diversity & distributions 2014-07, Vol.20 (7), p.837-846
Hauptverfasser:	Howard, Sam D, Bickford, David P, Ferrier, Simon
Format:	Artikel
Sprache:	eng
Schlagworte:	Amphibia. Reptilia amphibians Animal and plant ecology Animal, plant and microbial ecology Anura Applied ecology artificial intelligence Biodiversity BIODIVERSITY RESEARCH Biological and medical sciences Caudata Conservation biology Endangered & extinct species environmental factors extinction Fundamental and applied biological sciences. Psychology General aspects geographic information systems Gymnophiona habitat destruction IUCN Redlist life history machine learning Mathematical models prediction predictive model prioritization Reptiles & amphibians risk Synecology Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution
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