气候变化领域集成服务门户(CCPortal): Priority list of biodiversity metrics to observe from space

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DOI	10.1038/s41559-021-01451-x
	Priority list of biodiversity metrics to observe from space
	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.; Geijzendorffer I.; Heiden U.; Heurich M.; Hobern D.; Holzwarth S.; Muller-Karger F.E.; Van De Kerchove R.; Lausch A.; Leit?o P.J.; Lock M.C.; Mücher C.A.; O’Connor B.; Rocchini D.; Turner W.; Vis J.K.; Wang T.; Wegmann M.; Wingate V.
发表日期	2021
ISSN	2397-334X
起始页码	896
结束页码	906
卷号	5 期号:7
英文摘要	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. ? 2021, Springer Nature Limited.
语种	英语
scopus关键词	benchmarking; biodiversity; ecosystem; Benchmarking; Biodiversity; Ecosystem
来源期刊	Nature Ecology & Evolution
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/256917
作者单位	Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands; Department of Earth and Environmental Science, Macquarie University, Sydney, NSW, Australia; Department of Forest Resources Management, University of British Columbia, Vancouver, BC, Canada; Department of Geography and Environmental Studies, Wollo University, Dessie, Ethiopia; Remote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, Switzerland; European Space Research Institute (ESRIN), European Space Agency, Frascati, Italy; Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, Netherlands; Biodiversity Centre, Finnish Environment Institute (SYKE), Helsinki, Finland; Institute of Geographical Sciences, Freie Universit?t Berlin, Berlin, Germany; Remote Sensing Center for Earth System Research, University of Leipzig, Leipzig, Germany; NatureServe, Arlington, VA, United States; George Mason University, Fairfax, VA, United States; Ger...
推荐引用方式 GB/T 7714	Skidmore A.K.,Coops N.C.,Neinavaz E.,et al. Priority list of biodiversity metrics to observe from space[J],2021,5(7).
APA	Skidmore A.K..,Coops N.C..,Neinavaz E..,Ali A..,Schaepman M.E..,...&Wingate V..(2021).Priority list of biodiversity metrics to observe from space.Nature Ecology & Evolution,5(7).
MLA	Skidmore A.K.,et al."Priority list of biodiversity metrics to observe from space".Nature Ecology & Evolution 5.7(2021).