Connecting Earth Observation to High-Throughput Biodiversity Data

Alex Bush, Rahel Sollmann, Andreas Wilting, Kristine Bohmann, Beth Cole, Heiko Balzter, Christopher Martius, Andras Zlinszky, Sebastien Calvignac-Spencer, Christina A. Cobbold, Terence P. Dawson, Brent C. Emerson, Simon Ferrier, Thomas P. Gilbert, Martin Herold, Lawrence Jones, Fabian H. Leendertz, Louise Matthews, James D. A. Millington, John R. OlsonOtso Ovaskainen, Dave Raffaelli, Richard Reeve, Mark-Oliver Rodel, Torry W. Rodgers, Stewart Snape, Ingrid Visseren_Hamakers, Alfred P. Vogler, Piran C. L. White, Martin J. Wooster, Douglas W. Yu (Lead / Corresponding author)

    Research output: Contribution to journalArticlepeer-review

    133 Citations (Scopus)
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    There is much interest in using Earth Observation (EO) technology to track biodiversity, ecosystem functions, and ecosystem services, understandable given the fast pace of biodiversity loss. However, because most biodiversity is invisible to EO, EO-based indicators could be misleading, which can 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 EO data. This approach is achievable now, offering efficient and near-real-time monitoring of management impacts on biodiversity and its functions and services.
    Original languageEnglish
    Article number0176
    Pages (from-to)1-9
    Number of pages9
    JournalNature Ecology and Evolution
    Publication statusPublished - 22 Jun 2017


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