| Literature DB >> 33986541 |
Andrew K Skidmore1,2, Nicholas C Coops3, Elnaz Neinavaz4, Abebe Ali4,5, Michael E Schaepman6, Marc Paganini7, W Daniel Kissling8, Petteri Vihervaara9, Roshanak Darvishzadeh4, Hannes Feilhauer10,11, Miguel Fernandez12,13, Néstor Fernández14,15, Noel Gorelick16, Ilse Geijzendorffer17, Uta Heiden18, Marco Heurich19,20, Donald Hobern21, Stefanie Holzwarth18, Frank E Muller-Karger22, Ruben Van De Kerchove23, Angela Lausch24,25, Pedro J Leitão26,27, Marcelle C Lock4,28, Caspar A Mücher29, Brian O'Connor30, Duccio Rocchini31,32, Claudia Roeoesli6, Woody Turner33, Jan Kees Vis34, Tiejun Wang4, Martin Wegmann35, Vladimir Wingate36.
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.Entities:
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Year: 2021 PMID: 33986541 DOI: 10.1038/s41559-021-01451-x
Source DB: PubMed Journal: Nat Ecol Evol ISSN: 2397-334X Impact factor: 19.100