Priority list of biodiversity metrics to observe from space

• Published in: Nature ecology & evolution Vol. 5; no. 7; pp. 896 - 906
• Main Authors: Skidmore, Andrew K., Coops, Nicholas C., Neinavaz, Elnaz, Ali, Abebe, Schaepman, Michael E., Paganini, Marc, Kissling, W. Daniel, Vihervaara, Petteri, Darvishzadeh, Roshanak, Feilhauer, Hannes, Fernandez, Miguel, Fernández, Néstor, Gorelick, Noel, Geijzendorffer, Ilse, Heiden, Uta, Heurich, Marco, Hobern, Donald, Holzwarth, Stefanie, Muller-Karger, Frank E., Van De Kerchove, Ruben, Lausch, Angela, Leitão, Pedro J., Lock, Marcelle C., Mücher, Caspar A., O’Connor, Brian, Rocchini, Duccio, Roeoesli, Claudia, Turner, Woody, Vis, Jan Kees, Wang, Tiejun, Wegmann, Martin, Wingate, Vladimir
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.07.2021; Nature Publishing Group
• Subjects: 631/158/670; 704/158; Benchmarking; Biodiversity; Biological and Physical Anthropology; Biological effects; Biomedical and Life Sciences; Ecological function; Ecology; Ecosystem; Ecosystem structure; Evolutionary Biology; Interpolation; Knowledge acquisition; Life Sciences; Monitoring; Paleontology; Perspective; Remote observing; Remote sensing; Satellites; Structure-function relationships; Zoology
• ISSN: 2397-334X; 2397-334X
• DOI: 10.1038/s41559-021-01451-x

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. 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.