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Capturing the fugitive: Applying remote sensing to terrestrial animal distribution and diversity

Leyequien, Euridice; Verrelst, Jochem; Slot, Martijn; Schaepman-Strub, Gabriela; Heitkönig, Ignas M A; Skidmore, Andrew (2007). Capturing the fugitive: Applying remote sensing to terrestrial animal distribution and diversity. International Journal of Applied Earth Observation and Geoinformation, 9(1):1-20.

Abstract

Amongst many ongoing initiatives to preserve biodiversity, the Millennium Ecosystem Assessment again shows the importance to slow down the loss of biological diversity. However, there is still a gap in the overview of global patterns of species distributions. This paper reviews how remote sensing has been used to assess terrestrial faunal diversity, with emphasis on proxies and methodologies, while exploring prospective challenges for the conservation and sustainable use of biodiversity. We grouped and discussed papers dealing with the faunal taxa mammals, birds, reptiles, amphibians, and invertebrates into five classes of surrogates of animal diversity: (1) habitat suitability, (2) photosynthetic productivity, (3) multi-temporal patterns, (4) structural properties of habitat, and (5) forage quality. It is concluded that the most promising approach for the assessment, monitoring, prediction, and conservation of faunal diversity appears to be the synergy of remote sensing products and auxiliary data with ecological biodiversity models, and a subsequent validation of the results using traditional observation techniques.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Global and Planetary Change
Physical Sciences > Earth-Surface Processes
Physical Sciences > Computers in Earth Sciences
Physical Sciences > Management, Monitoring, Policy and Law
Language:English
Date:2007
Deposited On:20 Mar 2013 16:29
Last Modified:09 Aug 2024 01:45
Publisher:Elsevier
ISSN:1569-8432
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.jag.2006.08.002

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