Comparison of point counts and automated acoustic monitoring: detecting birds in a rainforest biodiversity survey-Reference-Cited by-同舟云学术

Comparison of point counts and automated acoustic monitoring: detecting birds in a rainforest biodiversity survey

Published:2016-09 Issue:3 Volume:116 Page:305-309
ISSN:0158-4197
Container-title:Emu - Austral Ornithology
language:en
Short-container-title:Emu - Austral Ornithology

Author:

Leach Elliot C.¹,Burwell Chris J.¹²,Ashton Louise A.³,Jones Darryl N.¹,Kitching Roger L.¹

Affiliation:

1. Environmental Futures Research Institute, Griffith University, Nathan, Qld 4111, Australia.

2. Biodiversity Program, Queensland Museum, South Brisbane, Qld 4101, Australia.

3. Soil Biodiversity Group, Life Sciences Department, Natural History Museum, Cromwell Road, London SW7 5BD, UK.

Publisher

Informa UK Limited

Subject

Nature and Landscape Conservation,Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

Link

https://www.tandfonline.com/doi/pdf/10.1071/MU15097

Reference33 articles.

1. Automated classification of bird and amphibian calls using machine learning: A comparison of methods

2. Anderson, A. S. (2011) Influences of the past, present and future climate on the structure and diversity of rainforest bird assemblages in north-eastern Australia. Ph.D. Thesis, James Cook University, Townsville

3. Current Analogues of Future Climate Indicate the Likely Response of a Sensitive Montane Tropical Avifauna to a Warming World

4. Global patterns and predictors of bird species responses to forest fragmentation: Implications for ecosystem function and conservation

5. Measuring nocturnal seabird activity and status using acoustic recording devices: applications for island restoration

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