TY - JOUR
T1 - Priority list of biodiversity metrics to observe from space
AU - Skidmore, A.K.
AU - Coops, Nicholas C.
AU - Neinavaz, E.
AU - Ali, Abebe
AU - Schaepman, Michael E.
AU - Paganini, Marc
AU - Kissling, W. Daniel
AU - Vihervaara, Petteri
AU - Darvishzadeh, R.
AU - Feilhauer, Hannes
AU - Fernandez, Miguel
AU - Fernández, Néstor
AU - Gorelick, Noel
AU - Geizendorffer, Ilse
AU - Heiden, Uta
AU - Heurich, Marco
AU - Hobern, Donald
AU - Holzwarth, Stefanie
AU - Muller-karger, Frank E.
AU - Van De Kerchove, Ruben
AU - Lausch, Angela
AU - Leitãu, Pedro J.
AU - Lock, M.C.
AU - Mücher, Caspar A.
AU - O’Connor, Brian
AU - Rocchini, Duccio
AU - Turner, Woody
AU - Vis, Jan Kees
AU - Wang, Tiejun
AU - Wegmann, Martin
AU - Wingate, Vladimir
N1 - Publisher Copyright:
© 2021, Springer Nature Limited.
PY - 2021/7
Y1 - 2021/7
N2 - 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.
AB - 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.
KW - ITC-ISI-JOURNAL-ARTICLE
U2 - 10.1038/s41559-021-01451-x
DO - 10.1038/s41559-021-01451-x
M3 - Article
SN - 2397-334X
VL - 5
SP - 896
EP - 906
JO - Nature Ecology & Evolution
JF - Nature Ecology & Evolution
IS - 7
ER -