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A statistical forecasting approach to metapopulation viability analysis

Published:2019-12-11 Issue:2 Volume:30 Page:
ISSN:1051-0761
Container-title:Ecological Applications
language:en
Short-container-title:Ecol Appl

Author:

Howell Paige E.¹^ORCID,Hossack Blake R.²^ORCID,Muths Erin³^ORCID,Sigafus Brent H.⁴^ORCID,Chenevert‐Steffler Ann⁵,Chandler Richard B.¹^ORCID

Affiliation:

1. Warnell School of Forestry and Natural Resources University of Georgia Athens 180 East Green Street Georgia 30602 USA

2. U.S. Geological Survey Northern Rocky Mountain Science Center Missoula Montana 59801 USA

3. U.S. Geological Survey Fort Collins Science Center Fort Collins Colorado 80526 USA

4. U.S. Geological Survey Southwest Biological Science Center Tucson Arizona 85721 USA

5. U.S. Fish & Wildlife Service Buenos Aires NWR P.O. Box 109 Sasabe Arizona 85633 USA

Publisher

Wiley

Subject

Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eap.2038

Reference61 articles.

1. Linking landscape data with population viability analysis: management options for the helmeted honeyeater Lichenostomus melanops cassidix

2. Use of stochastic patch occupancy models in the California red‐legged frog for Bayesian inference regarding past events and future persistence

3. Climate Change and Ecosystems of the Southwestern United States

4. The classical metapopulation theory and the real, natural world: a critical appraisal

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