Predicting the optimal amount of time to spend learning before designating protected habitat for threatened species-Reference-Cited by-同舟云学术

Predicting the optimal amount of time to spend learning before designating protected habitat for threatened species

Published:2022-01-05 Issue:3 Volume:13 Page:722-733
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Camaclang Abbey E.¹²^ORCID,Chadès Iadine³^ORCID,Martin Tara G.²^ORCID,Possingham Hugh P.¹^ORCID

Affiliation:

1. Centre for Biodiversity and Conservation Science University of Queensland St Lucia Qld Australia

2. Department of Forest and Conservation Sciences Faculty of Forestry University of British Columbia Vancouver BC Canada

3. CSIRO Land and Water Ecosciences Precinct Dutton Park Qld Australia

Funder

Natural Sciences and Engineering Research Council of Canada

University of Queensland

Wilburforce Foundation

Australian Research Council

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13770

Reference38 articles.

1. Filling the Data Gap – A Pressing Need for Advancing MPA Sustainable Finance

2. Camaclang A. E.(2021).opttiming: Predicting the optimal time to spend learning.Zenodo https://doi.org/10.5281/zenodo.5701680

3. Review of northern abalone, Haliotis kamtschatkana, stock status in British Columbia;Campbell A.;Canadian Special Publication of Fisheries and Aquatic Sciences,2000

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