Estimating spatially variable and density‐dependent survival using open‐population spatial capture–recapture models-Reference-Cited by-同舟云学术

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Estimating spatially variable and density‐dependent survival using open‐population spatial capture–recapture models

Published:2023-01-05 Issue:2 Volume:104 Page:
ISSN:0012-9658
Container-title:Ecology
language:en
Short-container-title:Ecology

Author:

Milleret Cyril¹^ORCID,Dey Soumen¹^ORCID,Dupont Pierre¹^ORCID,Brøseth Henrik²^ORCID,Turek Daniel³^ORCID,de Valpine Perry⁴^ORCID,Bischof Richard¹^ORCID

Affiliation:

1. Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway

2. Norwegian Institute for Nature Research (NINA) Trondheim Norway

3. Department of Mathematics and Statistics Williams College Williamstown Massachusetts USA

4. Department of Environmental Science, Policy and Management University of California Berkeley Berkeley California USA

Funder

Miljødirektoratet

Naturvårdsverket

Norges Forskningsråd

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.3934

Reference32 articles.

1. Estimating and forecasting spatial population dynamics of apex predators using transnational genetic monitoring

2. Bischof R. D.Turek C.Milleret T.Ergon P.Dupont andP.deValpine.2020. “nimbleSCR: Spatial Capture‐Recapture (SCR) Methods Using nimble.”https://cran.r-project.org/package=nimbleSCR.

3. Chapter 5 Empirical Evidence of Density‐Dependence in Populations of Large Herbivores

4. Spatially Explicit Maximum Likelihood Methods for Capture-Recapture Studies

5. Large-scale noninvasive genetic monitoring of wolverines using scats reveals density dependent adult survival

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