Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 389281
Title Camera traps as sensor networks for monitoring animal communities
Author(s) Kays, R.W.; Kranstauber, B.; Jansen, P.A.; Carbone, C.; Rowcliffe, M.; Fountain, T.; Tilak, S.
Source In: Proceedings of the 4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland, 20-23 October 2009. - - p. 811 - 818.
Event 4th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp) and the IEEE 34th Conference on Local Computer Networks (LCN 2009), Zurich, Switzerland, 2009-10-20/2009-10-23
DOI https://doi.org/10.1109/LCN.2009.5355046
Department(s) Forest Ecology and Forest Management
PE&RC
Publication type Contribution in proceedings
Publication year 2009
Abstract Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use change. Motion sensitive camera traps offer a visual sensor to record the presence of a species at a location, recording their movement in the Eulerian sense. Modern digital camera traps that record video present new analytical opportunities, but also new data management challenges. This paper describes our experience with a year-long terrestrial animal monitoring system at Barro Colorado Island, Panama. The data gathered from our camera network shows the spatio-temporal dynamics of terrestrial bird and mammal activity at the site-data relevant to immediate science questions, and long-term conservation issues. We believe that the experience gained and lessons learned during our year long deployment and testing of the camera traps are applicable to broader sensor network applications and are valuable for the advancement of the sensor network research. We suggest that the continued development of these hardware, software, and analytical tools, in concert, offer an exciting sensor-network solution to monitoring of animal populations which could realistically scale over larger areas and time spans
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