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Using community science data to help identify threatened species occurrences outside of known ranges

  • Published:2022-04 Issue: Volume:268 Page:109523
  • ISSN:0006-3207
  • Container-title:Biological Conservation
  • language:en
  • Short-container-title:Biological Conservation

Author:

Lin Hsien-Yung,Binley Allison D.,Schuster Richard,Rodewald Amanda D.,Buxton Rachel,Bennett Joseph R.

Funder

Natural Sciences and Engineering Research Council of Canada

Environment and Climate Change Canada

Publisher

Elsevier BV

Subject

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

Reference79 articles.

1. Hybrid bayesian network classifiers: application to species distribution models;Aguilera;Environ. Model. Softw.,2010

2. Bayesian networks in environmental modelling;Aguilera;Environ. Model. Softw.,2011

3. A suite of global, cross-scale topographic variables for environmental and biodiversity modeling;Amatulli;Sci. Data,2018

4. Ecological and life-history traits explain recent boundary shifts in elevation and latitude of western North American songbirds;Auer;Glob. Ecol. Biogeogr.,2014

5. ebirdst: Tools for Loading, Plotting, Mapping and Analysis of eBird Status and Trends Data Products. R Package Version 0.1.0;Auer,2019

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