Improved prediction of Canada lynx distribution through regional model transferability and data efficiency.

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Bibliographic Details
Title: Improved prediction of Canada lynx distribution through regional model transferability and data efficiency.
Authors: Olson LE; Rocky Mountain Research Station United States Forest Service Missoula MT USA., Bjornlie N; Wyoming Game and Fish Department Lander WY USA., Hanvey G; United States Department of Agriculture, Northern Region United States Forest Service Missoula MT USA., Holbrook JD; Department of Zoology and Physiology Haub School of Environment and Natural Resources University of Wyoming Laramie WY USA., Ivan JS; Colorado Parks and Wildlife Fort Collins CO USA., Jackson S; United States Department of Agriculture, Northern Region United States Forest Service Missoula MT USA., Kertson B; Washington Department of Fish and Wildlife Snoqualmie WA USA., King T; School of the Environment Washington State University Pullman WA USA., Lucid M; Idaho Department of Fish and Game Coeur d'Alene ID USA.; Present address: Selkirk Wildlife Science Sandpoint ID USA., Murray D; Environmental and Life Sciences Biology Department Trent University Peterborough ON Canada., Naney R; United States Forest Service Okanogan-Wenatchee National Forest Winthrop WA USA., Rohrer J; United States Forest Service Okanogan-Wenatchee National Forest Winthrop WA USA., Scully A; Environmental and Life Sciences Biology Department Trent University Peterborough ON Canada., Thornton D; School of the Environment Washington State University Pullman WA USA., Walker Z; Wyoming Game and Fish Department Lander WY USA., Squires JR; Rocky Mountain Research Station United States Forest Service Missoula MT USA.
Source: Ecology and evolution [Ecol Evol] 2021 Jan 24; Vol. 11 (4), pp. 1667-1690. Date of Electronic Publication: 2021 Jan 24 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Pub. Ltd Country of Publication: England NLM ID: 101566408 Publication Model: eCollection Cited Medium: Print ISSN: 2045-7758 (Print) Linking ISSN: 20457758 NLM ISO Abbreviation: Ecol Evol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-7758
DOI:10.1002/ece3.7157