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Connecting Earth observation to high-throughput biodiversity data

Research output: Contribution to journalReview article

Alex Bush, Rahel Sollmann, Andreas Wilting, Kristine Bohmann, Beth Cole, Heiko Balzter, Christopher Martius, András Zlinszky, Sébastien Calvignac-Spencer, Christina A. Cobbold, Terence P. Dawson, Brent C. Emerson, Simon Ferrier, M. Thomas P. Gilbert, Martin Herold, Laurence Jones, Fabian H. Leendertz, Louise Matthews, James D.A. Millington, John R. Olson & 11 more Otso Ovaskainen, Dave Raffaelli, Richard Reeve, Mark Oliver Rödel, Torrey W. Rodgers, Stewart Snape, Ingrid Visseren-Hamakers, Alfried P. Vogler, Piran C.L. White, Martin J. Wooster, Douglas W. Yu

Original languageEnglish
Article number0176
JournalNature Ecology and Evolution
Issue number7
Early online date22 Jun 2017
Accepted/In press7 Apr 2017
E-pub ahead of print22 Jun 2017
Published22 Jun 2017


King's Authors


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.

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