| Estimating species-specific survival and movement when species identification is uncertain. | |
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MedLine Citation:
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PMID: 17479746 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Incorporating uncertainty in the investigation of ecological studies has been the topic of an increasing body of research. In particular, mark-recapture methodology has shown that incorporating uncertainty in the probability of detecting individuals in populations enables accurate estimation of population-level processes such as survival, reproduction, and dispersal. Recent advances in mark-recapture methodology have included estimating population-level processes for biologically important groups despite the misassignment of individuals to those groups. Examples include estimating rates of apparent survival despite less than perfect accuracy when identifying individuals to gender or breeding state. Here we introduce a method for estimating apparent survival and dispersal in species that co-occur but that are difficult to distinguish. We use data from co-occurring populations of meadow voles (Microtus pennsylvanicus) and montane voles (M. montanus) in addition to simulated data to show that ignoring species uncertainty can lead to biased estimates of population processes. The incorporation of species uncertainty in mark-recapture studies should aid future research investigating ecological concepts such as interspecific competition, niche differentiation, and spatial population dynamics in sibling species. |
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Authors:
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Jonathan P Runge; James E Hines; James D Nichols |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Validation Studies |
Journal Detail:
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Title: Ecology Volume: 88 ISSN: 0012-9658 ISO Abbreviation: Ecology Publication Date: 2007 Feb |
Date Detail:
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Created Date: 2007-05-07 Completed Date: 2007-06-19 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0043541 Medline TA: Ecology Country: United States |
Other Details:
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Languages: eng Pagination: 282-8 Citation Subset: IM |
Affiliation:
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Montana Cooperative Wildlife Research Unit, Wildlife Biology Program, The University of Montana, Missoula, Montana 59812, USA. jprunge@uga.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Animals Arvicolinae* Computer Simulation Ecosystem Models, Biological Population Dynamics Survival Rate Uncertainty |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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