Connecting Earth observation to high-throughput biodiversity data

Alex Bush; Rahel Sollmann; Andreas Wilting; Kristine Bohmann; Beth Cole; Heiko Balzter; Christopher Martius; András Zlinszky; Sébastien Calvignac-Spencer; Christina A. Cobbold; Terence P. Dawson; Brent C. Emerson; Simon Ferrier; M. Thomas P. Gilbert; Martin Herold; Laurence Jones; Fabian H. Leendertz; Louise Matthews; James D.A. Millington; John R. Olson; Otso Ovaskainen; Dave Raffaelli; Richard Reeve; Mark Oliver Rödel; Torrey W. Rodgers; Stewart Snape; Ingrid Visseren-Hamakers; Alfried P. Vogler; Piran C.L. White; Martin J. Wooster; Douglas W. Yu

doi:10.1038/s41559-017-0176

Connecting Earth observation to high-throughput biodiversity data

Alex Bush, Rahel Sollmann, Andreas Wilting, Kristine Bohmann, Beth Cole, Heiko Balzter, Christopher Martius, András Zlinszky, Sébastien Calvignac-Spencer, Christina A. Cobbold, Terence P. Dawson, Brent C. Emerson, Simon Ferrier, M. Thomas P. Gilbert, Martin Herold, Laurence Jones, Fabian H. Leendertz, Louise Matthews, James D.A. Millington, John R. OlsonOtso Ovaskainen, Dave Raffaelli, Richard Reeve, Mark Oliver Rödel, Torrey W. Rodgers, Stewart Snape, Ingrid Visseren-Hamakers, Alfried P. Vogler, Piran C.L. White, Martin J. Wooster, Douglas W. Yu

Research output: Contribution to journal › Review article › peer-review

161 Citations (Scopus)

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Abstract

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.

Original language	English
Article number	0176
Journal	Nature Ecology and Evolution
Volume	1
Issue number	7
Early online date	22 Jun 2017
DOIs	https://doi.org/10.1038/s41559-017-0176
Publication status	Published - 22 Jun 2017

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41559-017-0176

Connecting Earth Observation to_BUSH_Accepted7April2017Publishedonline22June2017_GREEN AAMAccepted author manuscript, 3.94 MBLicence: Unspecified

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Bush, A., Sollmann, R., Wilting, A., Bohmann, K., Cole, B., Balzter, H., Martius, C., Zlinszky, A., Calvignac-Spencer, S., Cobbold, C. A., Dawson, T. P., Emerson, B. C., Ferrier, S., Gilbert, M. T. P., Herold, M., Jones, L., Leendertz, F. H., Matthews, L., Millington, J. D. A., ... Yu, D. W. (2017). Connecting Earth observation to high-throughput biodiversity data. Nature Ecology and Evolution, 1(7), Article 0176. https://doi.org/10.1038/s41559-017-0176

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abstract = "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.",

author = "Alex Bush and Rahel Sollmann and Andreas Wilting and Kristine Bohmann and Beth Cole and Heiko Balzter and Christopher Martius and Andr{\'a}s Zlinszky and S{\'e}bastien Calvignac-Spencer and Cobbold, {Christina A.} and Dawson, {Terence P.} and Emerson, {Brent C.} and Simon Ferrier and Gilbert, {M. Thomas P.} and Martin Herold and Laurence Jones and Leendertz, {Fabian H.} and Louise Matthews and Millington, {James D.A.} and Olson, {John R.} and Otso Ovaskainen and Dave Raffaelli and Richard Reeve and R{\"o}del, {Mark Oliver} and Rodgers, {Torrey W.} and Stewart Snape and Ingrid Visseren-Hamakers and Vogler, {Alfried P.} and White, {Piran C.L.} and Wooster, {Martin J.} and Yu, {Douglas W.}",

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Bush, A, Sollmann, R, Wilting, A, Bohmann, K, Cole, B, Balzter, H, Martius, C, Zlinszky, A, Calvignac-Spencer, S, Cobbold, CA, Dawson, TP, Emerson, BC, Ferrier, S, Gilbert, MTP, Herold, M, Jones, L, Leendertz, FH, Matthews, L, Millington, JDA, Olson, JR, Ovaskainen, O, Raffaelli, D, Reeve, R, Rödel, MO, Rodgers, TW, Snape, S, Visseren-Hamakers, I, Vogler, AP, White, PCL, Wooster, MJ & Yu, DW 2017, 'Connecting Earth observation to high-throughput biodiversity data', Nature Ecology and Evolution, vol. 1, no. 7, 0176. https://doi.org/10.1038/s41559-017-0176

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, 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.

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U2 - 10.1038/s41559-017-0176

DO - 10.1038/s41559-017-0176

M3 - Review article

AN - SCOPUS:85029872050

SN - 2397-334X

VL - 1

JO - Nature Ecology and Evolution

JF - Nature Ecology and Evolution

IS - 7

M1 - 0176

ER -

Connecting Earth observation to high-throughput biodiversity data

Abstract

UN SDGs

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