Consulta: subjectFacets:"Incidence function analysis"
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Data/hora: 11/06/2024 19:00:09

Assessing Extinction Risk: Integrating Genetic Information
Provedor de dados: 7
Autores: Dunham, Jason; University of Nevada-Reno; jdunham@proaxis.com; Peacock, Mary; University of Nevada-Reno; mpeacock@scs.unr.edu; Tracy, C. Richard; University of Nevada-Reno; dtracy@unr.edu; Nielsen, Jennifer; Stanford University; jnielsen@leland.stanford.edu; Vinyard, Gary; University of Nevada-Reno; gvinyard@med.unr.edu.
Risks of population extinction have been estimated using a variety of methods incorporating information from different spatial and temporal scales. We briefly consider how several broad classes of extinction risk assessments, including population viability analysis, incidence functions, and ranking methods integrate information on different temporal and spatial scales. In many circumstances, data from surveys of neutral genetic variability within, and among, populations can provide information useful for assessing extinction risk. Patterns of genetic variability resulting from past and present ecological and demographic events, can indicate risks of extinction that are otherwise difficult to infer from ecological and demographic analyses alone. We provide...
Tipo: Peer-Reviewed Reports
Palavras-chave: Extinction risk; Genetic variation; Incidence function analysis; Population viability analysis; Ranking methods; Risk assessment; Spatial scale; Temporal scale.
Ano: 1999