Connecting Earth observation to high-throughput biodiversity data
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 ORCID: https://orcid.org/0000-0002-4379-9006; 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.. 2017 Connecting Earth observation to high-throughput biodiversity data. Nature Ecology & Evolution, 1 (7), 0176. 9, pp. 10.1038/s41559-017-0176
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Abstract/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.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | 10.1038/s41559-017-0176 |
UKCEH and CEH Sections/Science Areas: | Soils and Land Use (Science Area 2017-) |
ISSN: | 2397-334X |
Additional Keywords: | biodiversity, conservation biology, decision making, ecosystem services, environmental impact |
NORA Subject Terms: | Ecology and Environment |
Date made live: | 19 Feb 2018 14:59 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/519336 |
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