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Connecting Earth observation to high-throughput biodiversity data

Research output: Contribution to journalJournal articlepeer-review

  • Rahel Sollmann
  • Andreas Wilting
  • Krsitine Bohmann
  • 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
Article number0176
<mark>Journal publication date</mark>22/06/2017
<mark>Journal</mark>Nature Ecology and Evolution
Publication StatusPublished
<mark>Original language</mark>English


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.