Priority list of biodiversity metrics to observe from space

A.K. Skidmore; Nicholas C. Coops; E. Neinavaz; Abebe Ali; Michael E. Schaepman; Marc Paganini; W. Daniel Kissling; Petteri Vihervaara; R. Darvishzadeh; Hannes Feilhauer; Miguel Fernandez; Néstor Fernández; Noel Gorelick; Ilse Geizendorffer; Uta Heiden; Marco Heurich; Donald Hobern; Stefanie Holzwarth; Frank E. Muller-karger; Ruben Van De Kerchove; Angela Lausch; Pedro J. Leitãu; M.C. Lock; Caspar A. Mücher; Brian O’Connor; Duccio Rocchini; Woody Turner; Jan Kees Vis; Tiejun Wang; Martin Wegmann; Vladimir Wingate

doi:10.1038/s41559-021-01451-x

Priority list of biodiversity metrics to observe from space

A.K. Skidmore^*, Nicholas C. Coops, E. Neinavaz, Abebe Ali, Michael E. Schaepman, Marc Paganini, W. Daniel Kissling, Petteri Vihervaara, R. Darvishzadeh, Hannes Feilhauer, Miguel Fernandez, Néstor Fernández, Noel Gorelick, Ilse Geizendorffer, Uta Heiden, Marco Heurich, Donald Hobern, Stefanie Holzwarth, Frank E. Muller-karger, Ruben Van De KerchoveAngela Lausch, Pedro J. Leitãu, M.C. Lock, Caspar A. Mücher, Brian O’Connor, Duccio Rocchini, Woody Turner, Jan Kees Vis, Tiejun Wang, Martin Wegmann, Vladimir Wingate

^*Corresponding author for this work

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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.

Original language	English
Pages (from-to)	896-906
Number of pages	11
Journal	Nature Ecology & Evolution
Volume	5
Issue number	7
Early online date	13 May 2021
DOIs	https://doi.org/10.1038/s41559-021-01451-x
Publication status	Published - Jul 2021

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ITC-ISI-JOURNAL-ARTICLE

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10.1038/s41559-021-01451-x

skidmore_priFinal published version, 2.39 MBLicence: Taverne

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Skidmore, A. K., Coops, N. C., Neinavaz, E., Ali, A., Schaepman, M. E., Paganini, M., Kissling, W. D., Vihervaara, P., Darvishzadeh, R., Feilhauer, H., Fernandez, M., Fernández, N., Gorelick, N., Geizendorffer, I., Heiden, U., Heurich, M., Hobern, D., Holzwarth, S., Muller-karger, F. E., ... Wingate, V. (2021). Priority list of biodiversity metrics to observe from space. Nature Ecology & Evolution, 5(7), 896-906. https://doi.org/10.1038/s41559-021-01451-x

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title = "Priority list of biodiversity metrics to observe from space",

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.",

keywords = "ITC-ISI-JOURNAL-ARTICLE",

author = "A.K. Skidmore and Coops, {Nicholas C.} and E. Neinavaz and Abebe Ali and Schaepman, {Michael E.} and Marc Paganini and Kissling, {W. Daniel} and Petteri Vihervaara and R. Darvishzadeh and Hannes Feilhauer and Miguel Fernandez and N{\'e}stor Fern{\'a}ndez and Noel Gorelick and Ilse Geizendorffer and Uta Heiden and Marco Heurich and Donald Hobern and Stefanie Holzwarth and Muller-karger, {Frank E.} and {Van De Kerchove}, Ruben and Angela Lausch and Leit{\~a}u, {Pedro J.} and M.C. Lock and M{\"u}cher, {Caspar A.} and Brian O{\textquoteright}Connor and Duccio Rocchini and Woody Turner and Vis, {Jan Kees} and Tiejun Wang and Martin Wegmann and Vladimir Wingate",

note = "Funding Information: This project has received support from the European Space Agency GlobDiversity project, the European Research Council (ERC) under the European Union{\textquoteright}s Horizon 2020 research and innovation programme (grant agreement 834709), the NextGEOSS project (grant agreement 730329, H2020-EU.3.5.5) and e-Shape (grant agreement 820852, H2020-EU.3.5.5). The project workshops were supported by the GEO BON Secretariat at iDiv (DFG-FZT 118, project 202548816) (Leipzig, Germany), the European Space Agency (Frascati, Italy) and the University of Twente (Enschede, the Netherlands). W.D.K. acknowledges financial support from the Faculty of Science, Research Cluster Global Ecology, University of Amsterdam. F.E.M.-K. received support from NASA grants NNX14AP62A, 80NSSC20K0017 and NA19NOS0120199. The contribution of M.E.S. is supported by the UZH URPP GCB. P.V. acknowledges the IBC-Carbon Project funded by the Strategic Research Council (SRC) at the Academy of Finland (grant number 312559) and the Finnish Ecosystem Observatory. Publisher Copyright: {\textcopyright} 2021, Springer Nature Limited.",

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doi = "10.1038/s41559-021-01451-x",

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Skidmore, AK, Coops, NC, Neinavaz, E, Ali, A, Schaepman, ME, Paganini, M, Kissling, WD, Vihervaara, P, Darvishzadeh, R, Feilhauer, H, Fernandez, M, Fernández, N, Gorelick, N, Geizendorffer, I, Heiden, U, Heurich, M, Hobern, D, Holzwarth, S, Muller-karger, FE, Van De Kerchove, R, Lausch, A, Leitãu, PJ, Lock, MC, Mücher, CA, O’Connor, B, Rocchini, D, Turner, W, Vis, JK, Wang, T, Wegmann, M & Wingate, V 2021, 'Priority list of biodiversity metrics to observe from space', Nature Ecology & Evolution, vol. 5, no. 7, pp. 896-906. https://doi.org/10.1038/s41559-021-01451-x

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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 - Funding Information: This project has received support from the European Space Agency GlobDiversity project, the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement 834709), the NextGEOSS project (grant agreement 730329, H2020-EU.3.5.5) and e-Shape (grant agreement 820852, H2020-EU.3.5.5). The project workshops were supported by the GEO BON Secretariat at iDiv (DFG-FZT 118, project 202548816) (Leipzig, Germany), the European Space Agency (Frascati, Italy) and the University of Twente (Enschede, the Netherlands). W.D.K. acknowledges financial support from the Faculty of Science, Research Cluster Global Ecology, University of Amsterdam. F.E.M.-K. received support from NASA grants NNX14AP62A, 80NSSC20K0017 and NA19NOS0120199. The contribution of M.E.S. is supported by the UZH URPP GCB. P.V. acknowledges the IBC-Carbon Project funded by the Strategic Research Council (SRC) at the Academy of Finland (grant number 312559) and the Finnish Ecosystem Observatory. 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.

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SN - 2397-334X

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Priority list of biodiversity metrics to observe from space

Abstract

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Fighting the nature crisis from space

Author Correction: Priority list of biodiversity metrics to observe from space (Nature Ecology & Evolution, (2021), 5, 7, (896-906), 10.1038/s41559-021-01451-x)

Author Correction: Priority list of biodiversity metrics to observe from space (Nature Ecology & Evolution, (2021), 5, 7, (896-906), 10.1038/s41559-021-01451-x)

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Priority list of biodiversity metrics to observe from space

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Fighting the nature crisis from space

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Author Correction: Priority list of biodiversity metrics to observe from space (Nature Ecology & Evolution, (2021), 5, 7, (896-906), 10.1038/s41559-021-01451-x)

Author Correction: Priority list of biodiversity metrics to observe from space (Nature Ecology & Evolution, (2021), 5, 7, (896-906), 10.1038/s41559-021-01451-x)

Cite this