Detecting population–environmental interactions with mismatched time series data-Reference-Cited by-同舟云学术

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Detecting population–environmental interactions with mismatched time series data

Published:2017-08-22 Issue:11 Volume:98 Page:2813-2822
ISSN:0012-9658
Container-title:Ecology
language:en
Short-container-title:Ecology

Author:

Ferguson Jake M.¹²,Reichert Brian E.³,Fletcher Robert J.³,Jager Henriëtte I.⁴

Affiliation:

1. National Institute of Mathematical and Biology Synthesis University of Tennessee Knoxville Tennessee 37996 USA

2. Center for Modeling Complex Interactions University of Idaho 875 Perimeter Drive Moscow Idaho 83844 USA

3. Department of Wildlife Ecology and Conservation University of Florida Gainesville Florida 32611 USA

4. Environmental Sciences Division Oak Ridge National Laboratory P.O. Box 2008 Oak Ridge Tennessee 37830 USA

Funder

National Science Foundation

University of Tennessee

National Institutes of Health

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.1966

Reference45 articles.

1. A Framework for Elucidating the Temperature Dependence of Fitness

2. Modeling Extinction in Periodic Environments: Everglades Water Levels and Snail Kite Population Viability

3. Influence of an extreme high water event on survival, reproduction, and distribution of Snail Kites in Florida, USA

4. Reproductive responses of the endangered snail kite to variations in prey density

5. Counteracting effects of a non‐native prey on the demography of a native predator culminate in positive population growth

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2. The relative influence of sea surface temperature anomalies on the benthic composition of an Indo‐Pacific and Caribbean coral reef over the last decade;Ecology and Evolution;2022-09

3. Temporal scope influences ecosystem driver-response relationships: A case study of Lake Erie with implications for ecosystem-based management;Science of The Total Environment;2022-03

4. A practical guide to selecting models for exploration, inference, and prediction in ecology;Ecology;2021-05-04

5. Sedimentary unknowns constrain the current use of frequency analysis of radiocarbon data sets in forming regional models of demographic change;Geoarchaeology;2021-01-14

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