Evidence map›Paper›PMID 33986541›Full record

ReviewNature ecology & evolution2021

Priority list of biodiversity metrics to observe from space.

Andrew K Skidmore, Nicholas C Coops, Elnaz Neinavaz, Abebe Ali, Michael E Schaepman, Marc Paganini, W Daniel Kissling, Petteri Vihervaara, Roshanak Darvishzadeh, Hannes Feilhauer and 22 more

Erratum issuedOpen access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature ecology & evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
38.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 264 citations in OpenAlex.

  1. Review
  2. Article
  3. Accelerated north-east shift of the global green wave trajectory.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Science and technical priorities for private sector action to address biodiversity loss.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Monitoring vegetation- and geodiversity with remote sensing and traits.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2024
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors at 20 institutions in 14 countries.

Andrew K SkidmoreFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands. a.k.skidmore@utwente.nl.ORCID http://orcid.org/0000-0002-7446-8429
Nicholas C CoopsDepartment of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, Canada.ORCID http://orcid.org/0000-0002-0151-9037
Elnaz NeinavazFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands.ORCID http://orcid.org/0000-0003-4117-2354
Abebe AliFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands.
Michael E SchaepmanRemote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-9627-9565
Marc PaganiniEuropean Space Research Institute (ESRIN), European Space Agency, Frascati, Italy.
W Daniel KisslingInstitute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-7274-6755
Petteri VihervaaraBiodiversity Centre, Finnish Environment Institute (SYKE), Helsinki, Finland.ORCID http://orcid.org/0000-0002-5889-8402
Roshanak DarvishzadehFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands.ORCID http://orcid.org/0000-0001-7512-0574
Hannes FeilhauerInstitute of Geographical Sciences, Freie Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0001-5758-6303
Miguel FernandezNatureServe, Arlington, VA, USA.ORCID http://orcid.org/0000-0002-8301-1340
Néstor FernándezGerman Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany.ORCID http://orcid.org/0000-0002-9645-8571
Noel GorelickGoogle, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-5548-2436
Ilse GeijzendorfferTour du Valat, Arles, France.
Uta HeidenEarth Observation Center (EOC), Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany.ORCID http://orcid.org/0000-0002-3865-1912
Marco HeurichDepartment of Visitor Management and National Park Monitoring, Bavarian Forest National Park Administration, Grafenau, Germany.ORCID http://orcid.org/0000-0003-0051-2930
Donald HobernGBIF Secretariat, Copenhagen, Denmark.
Stefanie HolzwarthEarth Observation Center (EOC), Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany.ORCID http://orcid.org/0000-0001-7364-7006
Frank E Muller-KargerCollege of Marine Science, University of South Florida, St Petersburg, FL, USA.ORCID http://orcid.org/0000-0003-3159-5011
Ruben Van De KerchoveFlemish Institute for Technological Research (VITO), Mol, Belgium.
Angela LauschComputational Landscape Ecology, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.ORCID http://orcid.org/0000-0002-4490-7232
Pedro J LeitãoTechnische Universität Braunschweig, Braunschweig, Germany.ORCID http://orcid.org/0000-0003-3038-9531
Marcelle C LockFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands.ORCID http://orcid.org/0000-0001-7759-0852
Caspar A MücherWageningen Environmental Research, Wageningen University & Research, Wageningen, the Netherlands.
Brian O'ConnorUN Environment World Conservation Monitoring Centre, Cambridge, UK.
Duccio RocchiniDepartment of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0003-0087-0594
Claudia RoeoesliRemote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, Switzerland.
Woody TurnerEarth Science Division, NASA, Washington DC, USA.
Jan Kees VisUnilever Europe B.V., Rotterdam, the Netherlands.
Tiejun WangFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands.ORCID http://orcid.org/0000-0002-1138-8464
Martin WegmannInstitute of Geography and Geology, University of Wuerzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0003-0335-9601
Vladimir WingateLand Systems and Sustainable Land Management, Geographisches Institut, Universität Bern, Bern, Switzerland.
University of Twente · NLDeutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) · DEUniversity of Zurich · CHCzech University of Life Sciences Prague · CZEarth and Space Research · USEuropean Space Research Institute · ITFinnish Environment Institute · FIFlemish Institute for Technological Research · BEFreie Universität Berlin · DEGerman Centre for Integrative Biodiversity Research · DEGlobal Biodiversity Information Facility · DKGoogle (Switzerland) · CHHelmholtz Centre for Environmental Research · DEHumboldt-Universität zu Berlin · DENatureServe · USTour du Valat · FRUN Environment Programme World Conservation Monitoring Centre · GBUnilever (Netherlands) · NLUniversity of Amsterdam · NLUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

EcosystemBiodiversity

Identifiers

PMID33986541
OpenAlexW3161714860

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.