Efficacy of extracting indices from large-scale acoustic recordings to monitor biodiversity-Reference-Cited by-同舟云学术

Efficacy of extracting indices from large-scale acoustic recordings to monitor biodiversity

Published:2018-08-01 Issue:5 Volume:32 Page:1174-1184
ISSN:0888-8892
Container-title:Conservation Biology
language:en
Short-container-title:Conservation Biology

Author:

Buxton Rachel T.¹^ORCID,McKenna Megan F.²,Clapp Mary³,Meyer Erik⁴,Stabenau Erik⁵,Angeloni Lisa M⁶,Crooks Kevin¹,Wittemyer George¹^ORCID

Affiliation:

1. Department of Fish, Wildlife and Conservation Biology; Colorado State University; Fort Collins Colorado

2. National Park Service; Natural Sounds and Night Skies Division; Fort Collins Colorado

3. Evolution and Ecology Department; University of California; Davis California

4. Sequoia & Kings Canyon National Parks; Three Rivers California

5. Everglades National Park; South Florida Natural Resources Center; Homestead Florida

6. Department of Biology; Colorado State University; Fort Collins Colorado

Funder

ExxonMobil Production/XTO Energy

National Park Service

Publisher

Wiley

Subject

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

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/cobi.13119/fullpdf

Reference44 articles.

1. ABMI (Alberta Biodiversity Monitoring Institute) 2016 The 2016 Bioacoustic Unit field season. Bioacoustic Unit - Alberta Biodiveristy Monitoring Unit, Edmonton http://ftp.public.abmi.ca//home/publications/documents/435_Bayne_2016_BUFieldSeason2016_ABMI.pdf

2. Automated classification of bird and amphibian calls using machine learning: a comparison of methods;Acevedo;Ecological Informatics,2009

3. Using automated digital recording systems as effective tools for the monitoring of birds and amphibians;Acevedo;Wildlife Society Bulletin,2006

4. Lightweight unmanned aerial vehicles will revolutionize spatial ecology;Anderson;Frontiers in Ecology and the Environment,2013

5. Bartoń K 2013 MuMIn: multi-model inference http://CRAN.R-project.org/package=MuMIn

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