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Camera Trapping for Wildlife Research (Paperback)
[781784270483]

£34.99

Edited by Francesco Rovero and Fridolin Zimmermann

Camera trapping is a powerful and now widely used tool in scientific research on wildlife ecology and management. It provides a unique opportunity for collecting knowledge, investigating the presence of animals, or recording and studying behaviour. Its visual nature makes it easy to successfully convey findings to a wide audience.

This book provides a much-needed guide to the sound use of camera trapping for the most common ecological applications to wildlife research. Each phase involved in the use of camera trapping is covered:
- Selecting the right camera type
- Set-up and field deployment of your camera trap
- Defining the sampling design: presence/absence, species inventory, abundance; occupancy at species level; capture-mark-recapture for density estimation; behavioural studies; community-level analysis
- Data storage, management and analysis for your research topic, with illustrative examples for using R and Excel
- Using camera trapping for monitoring, conservation and public engagement.

Each chapter in this edited volume is essential reading for students, scientists, ecologists, educators and professionals involved in wildlife research or management.

Contents
1. Introduction
2. Camera features related to specific ecological applications
3. Field deployment of camera traps
4. Camera trap data management and interoperability
5. Presence/absence and species inventory
6. Species-level occupancy analysis
7. Capture–recapture methods for density estimation
8. Behavioural studies
9. Community-level occupancy analysis
10. Camera trapping as a monitoring tool at national and global levels
11. Camera traps and public engagement
Appendices
Glossary
Index

Keywords
camera trapping, photography, ecology, wildlife, research, conservation

Publication Date: 06/06/2016
Pages: 320
Dimensions: 244 x 170mm
Paperback
ISBN: 9781784270483

This product was added to our catalog on Thursday 27 October, 2016.
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