Camera trapping in Africa: Paving the way for ease of use and consistency
Author:
Affiliation:
1. School of Life Sciences; University of KwaZulu-Natal; Durban 4000 South Africa
2. Biological and Environmental Sciences; University of Stirling; Stirling FK9 4LA United Kingdom
Publisher
Wiley
Subject
Ecology, Evolution, Behavior and Systematics
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/aje.12581/fullpdf
Reference33 articles.
1. A review of wildlife camera trapping trends across Africa;Agha;African Journal of Ecology,2018
2. Community structure and diversity of tropical forest mammals: Data from a global camera trap network;Ahumada;Philosophical Transactions of the Royal Society of London B: Biological Sciences,2011
3. Are camera traps fit for purpose ? A rigorous, reproducible and realistic test of camera trap performance;Apps;African Journal of Ecology,2018
4. Camera traps: how they work and how to work them;Apps;African Journal of Ecology,2018
5. Population numbers, density and activity patterns of servals in savannah patches of Odzala-Kokoua National Park, Republic of Congo;Bohm;African Journal of Ecology,2018
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1. Robust ecological analysis of camera trap data labelled by a machine learning model;Methods in Ecology and Evolution;2021-03-10
2. Interspecific interactions among functionally diverse frugivores and their outcomes for plant reproduction: A new approach based on camera-trap data and tailored null models;PLOS ONE;2020-10-16
3. High performance machine learning models can fully automate labeling of camera trap images for ecological analyses;2020-09-13
4. A review of factors to consider when using camera traps to study animal behavior to inform wildlife ecology and conservation;Conservation Science and Practice;2020-06-19
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