Both real‐time and long‐term environmental data perform well in predicting shorebird distributions in managed habitat-Reference-Cited by-同舟云学术

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Both real‐time and long‐term environmental data perform well in predicting shorebird distributions in managed habitat

Published:2021-12-06 Issue: Volume: Page:
ISSN:1051-0761
Container-title:Ecological Applications
language:en
Short-container-title:Ecological Applications

Author:

Conlisk Erin¹^ORCID,Golet Gregory H.²^ORCID,Reynolds Mark D.²,Barbaree Blake A.¹,Sesser Kristin¹,Byrd Kristin³^ORCID,Veloz Sam¹,Reiter Matthew E.¹^ORCID

Affiliation:

1. Point Blue Conservation Science, 3820 Cypress Drive #11 Petaluma CA USA

2. The Nature Conservancy 201 Mission Street, 4th Floor San Francisco CA

3. U.S. Geological Survey, Western Geographic Science Center, P.O. Box 158 Moffett Field CA

Publisher

Wiley

Subject

Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eap.2510

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Erratum;Ecological Applications;2024-04-04

2. Knowledge coproduction on the impact of decisions for waterbird habitat in a changing climate;Conservation Biology;2023-06

3. Data integration reveals dynamic and systematic patterns of breeding habitat use by a threatened shorebird;Scientific Reports;2023-04-13

4. Changes in habitat suitability for wintering dabbling ducks during dry conditions in the Central Valley of California;Ecosphere;2023-01

5. Climate and land change impacts on future managed wetland habitat: a case study from California’s Central Valley;Landscape Ecology;2022-01-07

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