Connecting Earth observation to high-throughput biodiversity data
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Accepted version
Author(s)
Type
Journal Article
Abstract
Understandably, given the fast pace of biodiversity loss, there is much interest in using Earth observation technology to track biodiversity, ecosystem functions and ecosystem services. However, because most biodiversity is invisible to Earth observation, indicators based on Earth observation could be misleading and reduce the effectiveness of nature conservation and even unintentionally decrease conservation effort. We describe an approach that combines automated recording devices, high-throughput DNA sequencing and modern ecological modelling to extract much more of the information available in Earth observation data. This approach is achievable now, offering efficient and near-real-time monitoring of management impacts on biodiversity and its functions and services.
Date Issued
2017-06-22
Date Acceptance
2017-04-26
Citation
Nature Ecology and Evolution, 2017, 1 (7)
ISSN
2397-334X
Publisher
Nature Publishing Group
Journal / Book Title
Nature Ecology and Evolution
Volume
1
Issue
7
Copyright Statement
© 2017, Springer Nature.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000417179000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Ecology
Evolutionary Biology
Environmental Sciences & Ecology
TERRESTRIAL BIODIVERSITY
ENVIRONMENTAL-CHANGE
ECOSYSTEM SERVICES
BETA-DIVERSITY
CONSERVATION
SCIENCE
LAND
SUPPORT
FOREST
MODELS
Publication Status
Published
Article Number
UNSP 0176