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 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

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 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

Department of Applied Environmental Science

Research output: Contribution to journal › Article › peer-review

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	American English
Journal	Nature Ecology & Evolution
Volume	1
State	Published - Jun 22 2017

Keywords

Biodiversity
Conservation biology
Decision making
Ecosystem services
Environmental impact

Disciplines

Life Sciences
Biodiversity
Ecology and Evolutionary Biology

Cite this

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 & Evolution, 1.

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, J, Ovaskainen, O, Raffaelli, D, Reeve, R, Rödel, M-O, 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 & Evolution, vol. 1.

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title = "Connecting Earth Observation to High-Throughput Biodiversity Data",

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.",

keywords = "Biodiversity, Conservation biology, Decision making, Ecosystem services, Environmental impact",

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 John Olson and Otso Ovaskainen and Dave Raffaelli and Richard Reeve and Mark-Oliver R{\"o}del 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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journal = "Nature Ecology & Evolution",

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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

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.

N1 - Altmetric: 261 Citations: 2 More detail Perspective Nature Ecology & Evolution 1, Article number: 0176 (2017) doi:10.1038/s41559-017-0176 Download Citation Received: Accepted: Published online: Instead of trying to map Earth observation products directly to biodiversity, as encapsulated by SRS-EBVs4,5,6,12 , we propose to extract more information from Earth observation data by interpolating biodiversity point samples to build continuous landscape maps of species distributions ( Fig.

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.

KW - Biodiversity

KW - Conservation biology

KW - Decision making

KW - Ecosystem services

KW - Environmental impact

UR - https://www.nature.com/articles/s41559-017-0176

M3 - Article

VL - 1

JO - Nature Ecology & Evolution

JF - Nature Ecology & Evolution

ER -

Connecting Earth Observation to High-Throughput Biodiversity Data

Abstract

Keywords

Disciplines

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