4.5 Article

Priority list of biodiversity metrics to observe from space

Journal

NATURE ECOLOGY & EVOLUTION
Volume 5, Issue 7, Pages 896-906

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41559-021-01451-x

Keywords

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Funding

  1. European Space Agency GlobDiversity project
  2. European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [834709]
  3. NextGEOSS project [730329, H2020-EU.3.5.5]
  4. e-Shape [H2020-EU.3.5.5, 820852]
  5. GEO BON Secretariat at iDiv (Leipzig, Germany) [DFG-FZT 118, 202548816]
  6. European Space Agency (Frascati, Italy)
  7. University of Twente (Enschede, the Netherlands)
  8. Faculty of Science, Research Cluster Global Ecology, University of Amsterdam
  9. NASA [NNX14AP62A, 80NSSC20K0017, NA19NOS0120199]
  10. UZH URPP GCB
  11. Strategic Research Council (SRC) at the Academy of Finland [312559]
  12. Finnish Ecosystem Observatory

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Remote sensing of geospatial biodiversity patterns is crucial as a complement to field observations, with high potential to enhance our understanding of global biodiversity. By compiling a prioritized list of remote sensing biodiversity products, it is possible to further improve monitoring and applicability of the EBV framework. Linking remote sensing products to EBVs will accelerate product generation and improve reporting on biodiversity from local to global scales.
Remote sensing of geospatial biodiversity patterns is an important complement to field observations. This priority list suggests how remote sensing observations can be better integrated into the essential biodiversity variables. Monitoring global biodiversity from space through remotely sensing geospatial patterns has high potential to add to our knowledge acquired by field observation. Although a framework of essential biodiversity variables (EBVs) is emerging for monitoring biodiversity, its poor alignment with remote sensing products hinders interpolation between field observations. This study compiles a comprehensive, prioritized list of remote sensing biodiversity products that can further improve the monitoring of geospatial biodiversity patterns, enhancing the EBV framework and its applicability. The ecosystem structure and ecosystem function EBV classes, which capture the biological effects of disturbance as well as habitat structure, are shown by an expert review process to be the most relevant, feasible, accurate and mature for direct monitoring of biodiversity from satellites. Biodiversity products that require satellite remote sensing of a finer resolution that is still under development are given lower priority (for example, for the EBV class species traits). Some EBVs are not directly measurable by remote sensing from space, specifically the EBV class genetic composition. Linking remote sensing products to EBVs will accelerate product generation, improving reporting on the state of biodiversity from local to global scales.

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