Quantifying long-term phenological patterns of aerial insectivores roosting in the Great Lakes region using weather surveillance radar.

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Bibliographic Details
Title: Quantifying long-term phenological patterns of aerial insectivores roosting in the Great Lakes region using weather surveillance radar.
Authors: Deng Y; Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, USA., Belotti MCTD; Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, USA., Zhao W; College of Information and Computer Sciences, University of Massachusetts, Amherst, Massachusetts, USA., Cheng Z; College of Information and Computer Sciences, University of Massachusetts, Amherst, Massachusetts, USA., Perez G; College of Information and Computer Sciences, University of Massachusetts, Amherst, Massachusetts, USA., Tielens E; Department of Biology, University of Oklahoma, Norman, Oklahoma, USA., Simons VF; Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, USA., Sheldon DR; College of Information and Computer Sciences, University of Massachusetts, Amherst, Massachusetts, USA., Maji S; College of Information and Computer Sciences, University of Massachusetts, Amherst, Massachusetts, USA., Kelly JF; Department of Biology, University of Oklahoma, Norman, Oklahoma, USA.; Oklahoma Biological Survey, University of Oklahoma, Norman, Oklahoma, USA., Horton KG; Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, USA.
Source: Global change biology [Glob Chang Biol] 2023 Mar; Vol. 29 (5), pp. 1407-1419. Date of Electronic Publication: 2022 Nov 17.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Pub Country of Publication: England NLM ID: 9888746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2486 (Electronic) Linking ISSN: 13541013 NLM ISO Abbreviation: Glob Chang Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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