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, Jeannine; Schneider, Fabian D.; Santos, Maria Joao; Armstrong, Amanda; Carnaval, Ana; Dahlin, Kyla M.; Fatoyinbo, Lola; Hurtt, George C.; Schimel, David; Townsend, Philip A.; Ustin, Susan L.; Wang, Zhihui; Wilson, Adam 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	This Perspective discusses how the latest advances in remote sensing can be used to answer basic ecological and evolutionary questions, as well as contribute to important biodiversity monitoring. 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.
语种	英语
WOS研究方向	Ecology ; Evolutionary Biology
WOS类目	Science Citation Index Expanded (SCI-EXPANDED) ; Social Science Citation Index (SSCI)
WOS记录号	WOS:000772740700002
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/280836
作者单位	University of Minnesota System; University of Minnesota Twin Cities; National Aeronautics & Space Administration (NASA); NASA Jet Propulsion Laboratory (JPL); California Institute of Technology; University of Zurich; National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; City University of New York (CUNY) System; Michigan State University; University System of Maryland; University of Maryland College Park; University of Wisconsin System; University of Wisconsin Madison; University of California System; University of California Davis; University of California System; University of California Davis; Guangdong Academy of Sciences; Guangzhou Institute of Geography, Guangdong Academy of Sciences; State University of New York (SUNY) System; State University of New York (SUNY) Buffalo
推荐引用方式 GB/T 7714	Cavender-Bares, Jeannine,Schneider, Fabian D.,Santos, Maria Joao,et al. Integrating remote sensing with ecology and evolution to advance biodiversity conservation[J],2022,6(5).
APA	Cavender-Bares, Jeannine.,Schneider, Fabian D..,Santos, Maria Joao.,Armstrong, Amanda.,Carnaval, Ana.,...&Wilson, Adam M..(2022).Integrating remote sensing with ecology and evolution to advance biodiversity conservation.NATURE ECOLOGY & EVOLUTION,6(5).
MLA	Cavender-Bares, Jeannine,et al."Integrating remote sensing with ecology and evolution to advance biodiversity conservation".NATURE ECOLOGY & EVOLUTION 6.5(2022).