气候变化领域集成服务门户(CCPortal): Integrating remote sensing with ecology and evolution to advance biodiversity conservation

CCPortal

DOI	10.1038/s41559-022-01702-5
	Integrating remote sensing with ecology and evolution to advance biodiversity conservation
	Cavender-Bares J.; Schneider F.D.; Santos M.J.; Armstrong A.; Carnaval A.; Dahlin K.M.; Fatoyinbo L.; Hurtt G.C.; Schimel D.; Townsend P.A.; Ustin S.L.; Wang Z.; Wilson A.M.
发表日期	2022
ISSN	2397-334X
起始页码	506
结束页码	519
卷号	6 期号:5
英文摘要	Remote sensing has transformed the monitoring of life on Earth by revealing spatial and temporal dimensions of biological diversity through structural, compositional and functional measurements of ecosystems. Yet, many aspects of Earth’s biodiversity are not directly quantified by reflected or emitted photons. Inclusive integration of remote sensing with field-based ecology and evolution is needed to fully understand and preserve Earth’s biodiversity. In this Perspective, we argue that multiple data types are necessary for almost all draft targets set by the Convention on Biological Diversity. We examine five key topics in biodiversity science that can be advanced by integrating remote sensing with in situ data collection from field sampling, experiments and laboratory studies to benefit conservation. Lowering the barriers for bringing these approaches together will require global-scale collaboration. ? 2022, Springer Nature Limited.
语种	英语
scopus关键词	biodiversity; ecology; ecosystem; remote sensing; Biodiversity; Ecology; Ecosystem; Remote Sensing Technology
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/257066
作者单位	Department of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Department of Geography, University of Zurich, Zurich, Switzerland; Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Department of Biology, Ph.D. Program in Biology, City University of New York and The Graduate Center of CUNY, New York City, NY, United States; Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI, United States; Department of Geographical Sciences, University of Maryland, College Park, MD, United States; Department of Forest and Wildlife Ecology, Univ. of Wisconsin-Madison, Madison, WI, United States; Department of Land, Air and Water Resources and the John Muir Institute of the Environment, University of California, Davis, CA, United States; Key Lab of Guangdong for Utilization of Remote Sensing and Geog...
推荐引用方式 GB/T 7714	Cavender-Bares J.,Schneider F.D.,Santos M.J.,et al. Integrating remote sensing with ecology and evolution to advance biodiversity conservation[J],2022,6(5).
APA	Cavender-Bares J..,Schneider F.D..,Santos M.J..,Armstrong A..,Carnaval A..,...&Wilson A.M..(2022).Integrating remote sensing with ecology and evolution to advance biodiversity conservation.Nature Ecology & Evolution,6(5).
MLA	Cavender-Bares J.,et al."Integrating remote sensing with ecology and evolution to advance biodiversity conservation".Nature Ecology & Evolution 6.5(2022).