TY - JOUR
T1 - Connecting Earth Observation to High-Throughput Biodiversity Data
AU - Bush, Alex
AU - Sollmann, Rahel
AU - Wilting, Andreas
AU - Bohmann, Kristine
AU - Cole, Beth
AU - Balzter, Heiko
AU - Martius, Christopher
AU - Zlinszky, Andras
AU - Calvignac-Spencer, Sebastien
AU - Cobbold, Christina A.
AU - Dawson, Terence P.
AU - Emerson, Brent C.
AU - Ferrier, Simon
AU - Gilbert, Thomas P.
AU - Herold, Martin
AU - Jones, Lawrence
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 - Rodel, Mark-Oliver
AU - Rodgers, Torry W.
AU - Snape, Stewart
AU - Visseren_Hamakers, Ingrid
AU - Vogler, Alfred P.
AU - White, Piran C. L.
AU - Wooster, Martin J.
AU - Yu, Douglas W.
N1 - This article is a product of the EO-BESS Working Group, organised by Heiko Balzter, David Raffaelli, and Beth Cole and funded by the UK Natural Environment Research Council.
PY - 2017/6/22
Y1 - 2017/6/22
N2 - 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.
AB - 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.
U2 - 10.1038/s41559-017-0176
DO - 10.1038/s41559-017-0176
M3 - Article
C2 - 28812589
SN - 2397-334X
VL - 1
SP - 1
EP - 9
JO - Nature Ecology and Evolution
JF - Nature Ecology and Evolution
M1 - 0176
ER -