Connecting Earth observation to high-throughput biodiversity data

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...

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Published inNature ecology & evolution Vol. 1; no. 7; p. 176
Main Authors Bush, Alex, Sollmann, Rahel, Wilting, Andreas, Bohmann, Kristine, Cole, Beth, Balzter, Heiko, Martius, Christopher, Zlinszky, András, Calvignac-Spencer, Sébastien, Cobbold, Christina A., Dawson, Terence P., Emerson, Brent C., Ferrier, Simon, Gilbert, M. Thomas P., Herold, Martin, Jones, Laurence, Leendertz, Fabian H., Matthews, Louise, Millington, James D. A., Olson, John R., Ovaskainen, Otso, Raffaelli, Dave, Reeve, Richard, Rödel, Mark-Oliver, Rodgers, Torrey W., Snape, Stewart, Visseren-Hamakers, Ingrid, Vogler, Alfried P., White, Piran C. L., Wooster, Martin J., Yu, Douglas W.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 22.06.2017
Nature Publishing Group
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ISSN2397-334X
2397-334X
DOI10.1038/s41559-017-0176

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Summary: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. A new approach is outlined for capturing multiple facets of biodiversity in near real-time by combining the latest advances in automated Earth observation recording, high-throughput sequencing and ecological modelling.
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ISSN:2397-334X
2397-334X
DOI:10.1038/s41559-017-0176