Measuring impacts on species with models and metrics of varying ecological and computational complexity-Reference-Cited by-同舟云学术

Measuring impacts on species with models and metrics of varying ecological and computational complexity

Published:2020-07-03 Issue:6 Volume:34 Page:1512-1524
ISSN:0888-8892
Container-title:Conservation Biology
language:en
Short-container-title:Conservation Biology

Author:

Hallam Christopher D.¹^ORCID,Wintle Brendan A.¹^ORCID,Kujala Heini¹^ORCID,Whitehead Amy L.²^ORCID,Nicholson Emily³^ORCID

Affiliation:

1. School of Bioscience University of Melbourne Building 122 Melbourne VIC 3010 Australia

2. National Institute of Water and Atmospheric Research 10 Kyle Street, Riccarton Christchurch 8011 New Zealand

3. School of Life and Environmental Sciences, Centre for Integrative Ecology (Burwood Campus) Deakin University 221 Burwood Highway Burwood VIC 3125 Australia

Funder

Australian Research Council

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cobi.13524

Reference62 articles.

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2. AkcakayaHR.2005.RAMAS GIS: linking spatial data with population viability analysis (v.5.0).Applied Biomathematics New York.

3. Integrating Landscape and Metapopulation Modeling Approaches: Viability of the Sharp-Tailed Grouse in a Dynamic Landscape

4. GLOBIO3: A Framework to Investigate Options for Reducing Global Terrestrial Biodiversity Loss

5. Australian Government.1999.Environment Protection and Biodiversity Conservation Act 1999.Australian Government Canberra Australia.

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