Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Connecting Earth observation to high-throughput biodiversity data
AU - Bush, Alex
AU - Sollmann, Rahel
AU - Wilting, Andreas
AU - Bohmann, Krsitine
AU - Balzter, Heiko
AU - Martius, Christopher
AU - Zlinszky, András
AU - Calvignac-Spencer, Sébastien
AU - Cobbold, Christina A.
AU - Dawson, Terence P.
AU - Emerson , Brent C.
AU - Ferrier, Simon
AU - Gilbert , M. Thomas P.
AU - Herold, Martin
AU - Jones, Laurence
AU - Leendertz, Fabian H.
AU - Matthews, Louise
AU - Millington, James D. A.
AU - Olson, John R.
AU - Ovaskainen, Otso
AU - Raffaelli, Dave
AU - Reeve, Richard
AU - Rödel , Mark-Oliver
AU - Rodgers, Torrey W.
AU - Snape, Stewart
AU - Visseren-Hamakers, Ingrid
AU - Vogler, Alfried P.
AU - White, Piran C. L.
AU - Wooster , Martin J.
AU - Yu, Douglas W.
PY - 2017/6/22
Y1 - 2017/6/22
N2 - 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.
AB - 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.
U2 - 10.1038/s41559-017-0176
DO - 10.1038/s41559-017-0176
M3 - Journal article
VL - 1
JO - Nature Ecology and Evolution
JF - Nature Ecology and Evolution
SN - 2397-334X
M1 - 0176
ER -