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The importance of data quality for generating reliable distribution models for rare, elusive, and cryptic species.
Aubry, Keith B; Raley, Catherine M; McKelvey, Kevin S.
Affiliation
  • Aubry KB; United States Department of Agriculture, Forest Service, Pacific Northwest Research Station, Olympia, Washington, United States of America.
  • Raley CM; United States Department of Agriculture, Forest Service, Pacific Northwest Research Station, Olympia, Washington, United States of America.
  • McKelvey KS; United States Department of Agriculture, Forest Service, Rocky Mountain Research Station, Missoula, Montana, United States of America.
PLoS One ; 12(6): e0179152, 2017.
Article in En | MEDLINE | ID: mdl-28640819
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Statistical / Conservation of Natural Resources / Mustelidae / Data Accuracy Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Statistical / Conservation of Natural Resources / Mustelidae / Data Accuracy Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article Affiliation country: United States Country of publication: United States