Article open access publication

Connecting Earth observation to high-throughput biodiversity data

Nature Ecology & Evolution, Springer Nature, ISSN 2397-334X

Volume 1, 7, 2017

DOI:10.1038/s41559-017-0176, Dimensions: pub.1086114799, PMID: 28812589,



  1. (1) University of New Brunswick, grid.266820.8
  2. (2) Land and Water, grid.469914.7
  3. (3) Kunming Institute of Zoology, grid.419010.d
  4. (4) University of California, Davis, grid.27860.3b
  5. (5) Leibniz Institute for Zoo and Wildlife Research, grid.418779.4
  6. (6) University of East Anglia, grid.8273.e
  7. (7) University of Copenhagen, grid.5254.6, KU
  8. (8) University of Leicester, grid.9918.9
  9. (9) Center for International Forestry Research, grid.450561.3
  10. (10) Balaton Limnological Institute, grid.418201.e
  11. (11) Robert Koch Institute, grid.13652.33
  12. (12) University of Glasgow, grid.8756.c
  13. (13) King's College London, grid.13097.3c
  14. (14) IPNA-CSIC, La Laguna, 38206, Tenerife, Canary Islands, Spain
  15. (15) Norwegian University of Science and Technology, grid.5947.f
  16. (16) Wageningen University & Research, grid.4818.5
  17. (17) Centre for Ecology and Hydrology, Environment Centre Wales, Deiniol Road, LL57 2UW, Bangor, UK
  18. (18) Desert Research Institute, grid.474431.1
  19. (19) University of Helsinki, grid.7737.4
  20. (20) University of York, grid.5685.e
  21. (21) Museum für Naturkunde, grid.422371.1
  22. (22) Utah State University, grid.53857.3c
  23. (23) Forestry Commission Scotland, grid.421538.9
  24. (24) George Mason University, grid.22448.38
  25. (25) Imperial College London, grid.7445.2
  26. (26) Natural History Museum, grid.35937.3b
  27. (27) NERC National Centre for Earth Observation (NCEO) at King's College London, Strand, WC2R 2LS, London, UK


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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2017: Unused

Research area: Science & Technology

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Times Cited: 86

Field Citation Ratio (FCR): 24.15

Relative Citation ratio (RCR): 3.4

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Green, Accepted