Assessing conservation status with extensive but low‐resolution data: Application of frequentist and Bayesian models to endangered Athabasca River rainbow trout-Reference-Cited by-同舟云学术

Assessing conservation status with extensive but low‐resolution data: Application of frequentist and Bayesian models to endangered Athabasca River rainbow trout

Published:2021-08-03 Issue: Volume: Page:
ISSN:0888-8892
Container-title:Conservation Biology
language:en
Short-container-title:Conservation Biology

Author:

Post John R.¹^ORCID,Ward Hillary G. M.¹²,Wilson Kyle L.¹³⁴,Sterling George L.⁵,Cantin Ariane¹,Taylor Eric B.⁶

Affiliation:

1. Department of Biological Sciences University of Calgary Calgary Alberta Canada

2. Ministry of Forests, Lands and Natural Resource Operations Penticton British Columbia Canada

3. Earth to Ocean Research Group, Department of Biological Sciences Simon Fraser University Burnaby British Columbia Canada

4. Central Coast Indigenous Resource Alliance Campbell River British Columbia Canada

5. Fisheries Branch Operations Division Alberta Environment and Parks Edson Alberta Canada

6. Department of Zoology, Biodiversity Research Centre and Beaty Biodiversity Museum University of British Columbia Vancouver British Columbia Canada

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cobi.13783

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