Simple statistical models can be sufficient for testing hypotheses with population time‐series data-Reference-Cited by-同舟云学术

Simple statistical models can be sufficient for testing hypotheses with population time‐series data

Published:2022-09 Issue:9 Volume:12 Page:
ISSN:2045-7758
Container-title:Ecology and Evolution
language:en
Short-container-title:Ecology and Evolution

Author:

Wenger Seth J.¹^ORCID,Stowe Edward S.¹^ORCID,Gido Keith B.²^ORCID,Freeman Mary C.³^ORCID,Kanno Yoichiro⁴^ORCID,Franssen Nathan R.⁵^ORCID,Olden Julian D.⁶^ORCID,Poff N. LeRoy⁷^ORCID,Walters Annika W.⁸^ORCID,Bumpers Phillip M.¹^ORCID,Mims Meryl C.⁹^ORCID,Hooten Mevin B.¹⁰^ORCID,Lu Xinyi⁴^ORCID

Affiliation:

1. Odum School of Ecology University of Georgia Athens Georgia USA

2. Division of Biology Kansas State University Manhattan Kansas USA

3. U.S. Geological Survey Eastern Ecological Science Center Athens Georgia USA

4. Department of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado USA

5. U.S. Fish and Wildlife Service Albuquerque New Mexico USA

6. School of Aquatic and Fishery Sciences University of Washington Seattle Washington USA

7. Department of Biology Colorado State University Fort Collins Colorado USA

8. U.S. Geological Survey Wyoming Cooperative Fish and Wildlife Research Unit, Department of Zoology and Physiology and Program in Ecology University of Wyoming Laramie Wyoming USA

9. Department of Biological Sciences Virginia Tech Blacksburg Virginia USA

10. Department of Statistics and Data Sciences The University of Texas at Austin Austin Texas USA

Funder

Engineer Research and Development Center

U.S. Army Corps of Engineers

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.9339

Reference65 articles.

1. Modelling Population Change From Time Series Data

2. On the reliability of N-mixture models for count data

3. Harmony on the prairie? Grassland plant and animal community responses to variation in climate across land‐use gradients

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