Papers

Peer-reviewed
2014

Application of remote sensing techniques in wildlife management

Japanese Journal of Ecology
  • Mochizuki Shota
  • ,
  • Murakami Takuhiko

Volume
64
Number
3
First page
253
Last page
264
Language
Japanese
Publishing type
Research paper (scientific journal)
Publisher
The Ecological Society of Japan

Application of the satellite remote sensing techniques to wildlife research began from discernment of the individual animal and/or evaluation of animal behavior from the photography experiments. Satellite remote sensing to wildlife research at the present has applied for the purpose of evaluating the animal habitat. Trends in satellite remote sensing for wildlife are evaluating the index of wildlife habitat and estimating relationship with an environmental variables and animal distribution. By mapping whether wildlife is suitable for what kind of environment such as potential habitat and habitat suitability, appropriate wildlife management including zoning becomes possible in animal conservation or human-wildlife conflicts. In this paper, we propose the examples in the adaptation of satellite remote sensing techniques to wildlife problems (conservation and management) in recent years. First, the studies about satellite remote sensing of habitat indicator and habitat fragmentation in giant panda conservation were described. Furthermore, the change in potential distribution of Japanese macaques in the long period is introduced as a case study of habitat suitability research. The objective of this study was to determine changes in habitat suitability by combining satellite remote sensing and habitat model. Finally, we propose the possibility of the wildlife research using satellite remote sensing techniques.

Link information
CiNii Articles
http://ci.nii.ac.jp/naid/110009892603
CiNii Books
http://ci.nii.ac.jp/ncid/AN00193852
URL
http://id.ndl.go.jp/bib/026091393
URL
http://agriknowledge.affrc.go.jp/RN/2010890095 Open access
ID information
  • ISSN : 0021-5007
  • CiNii Articles ID : 110009892603
  • CiNii Books ID : AN00193852

Export
BibTeX RIS