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Title: Connecting Earth Observation to High-Throughput Biodiversity Data
Authors: Bush, A.
Sollmann, R.
Wilting, A.
Bohmann, K.
Cole, Beth
Balzter, Heiko
Martius, C.
Zlinszky, A.
Calvignac-Spencer, S.
Cobbold, C.
Dawson, T.
Emerson, B.
Ferrier, S.
Gilbert, M. T.
Herold, M.
Jones, L.
Leendertz, F.
Matthews, L.
Millington, J.
Olson, J.
Ovaskainen, O.
Raffaelli, D.
Reeve, R.
Rödel, M.-O.
Rodgers, T.
Snape, S.
Visseren-Hamakers, I.
Vogler, A. P.
White, P.
Wooster, M.
Yu, D.
First Published: 22-Jun-2017
Publisher: Nature Publishing Group
Citation: Nature Ecology and Evolution, 1, Article number: 0176 (2017) doi:10.1038/s41559-017-0176
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.
DOI Link: 10.1038/s41559-017-0176
eISSN: 2397-334X
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2017, Macmillan publishers limited, part of Springer Nature. All rights reserved. Deposited with reference to the publisher’s open access archiving policy.
Description: The file associated with this record is under embargo until 6 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.
Appears in Collections:Published Articles, Dept. of Geography

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