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DOI	10.1016/j.rse.2019.111379
	Assessing plant production responses to climate across water-limited regions using Google Earth Engine
	Bunting, Erin L.1,2; Munson, Seth M.3; Bradford, John B.3
通讯作者	Bunting, Erin L.
来源期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
EISSN	1879-0704
出版年	2019
卷号	233
英文摘要	Climate variability and change acting at broad scales can lead to divergent changes in plant production at local scales. Quantifying how production responds to variation in climate at local scales is essential to understand underlying ecological processes and inform land management decision-making, but has historically been limited in spatiotemporal scale based on the use of discrete ground-based measurements or coarse resolution satellite observations. With the advent of cloud-based computing through Google Earth Engine (GEE), production responses to climate can be evaluated across broad landscapes though time at a resolution useful for ecological and land management applications. Here, GEE was employed to synthesize a multi-platform Landsat time series (1988-2014) and evaluate relationships between the soil-adjusted vegetation index (a proxy for plant production) and climate across deserts and plant communities of the southwestern U.S. A climate pivot point approach was adopted in GEE to assess the trade-off between production responses to increasing wetness and resistances to drought at 30-m resolution. Consistent with a long-term seasonal climate gradient, production was most related to climate variance during the cool-season in the western deserts, during the warm-season in the eastern deserts, and equally related to both seasons within several desert areas. Communities dominated by grasses and deciduous trees displayed large production responses to an increase in wetness and low resistances to water deficit, while shrublands and evergreen woodlands had variable responses and high drought resistances. Production in plant communities that spanned multiple deserts responded differently to seasonal climate variability in each desert. Defining these plant production sensitivities to climate at 30-m resolution in GEE advances forecasts of how long-term climate trajectories may affect carbon storage, wildlife habitat, and the vulnerability of water-limited ecosystems.
英文关键词	Climate change Drought Dryland Landsat remote sensing time series Net primary production Southwestern US Standardized precipitation evapotranspiration index (SPEI) Soil-adjusted vegetation index (SAVI)
类型	Article
语种	英语
国家	USA
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000497601000047
WOS关键词	TIME-SERIES ; SEMIARID ECOSYSTEMS ; LAND-COVER ; VEGETATION ; COMMUNITIES ; CARBON ; NDVI ; PERSPECTIVE ; RESOLUTION ; ECOLOGY
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
EI主题词	2019-11-01
来源机构	United States Geological Survey
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310718
作者单位	1.Michigan State Univ, Dept Geog Environm & Spatial Sci, 673 Auditorium Rd, E Lansing, MI 48825 USA; 2.Michigan State Univ, Remote Sensing & GIS Res & Outreach Serv, 1407 S Harrison Rd,Suite 301, E Lansing, MI 48823 USA; 3.US Geol Survey, Southwest Biol Sci Ctr, 2255 N Gemini Dr, Flagstaff, AZ 86001 USA
推荐引用方式 GB/T 7714	Bunting, Erin L.,Munson, Seth M.,Bradford, John B.. Assessing plant production responses to climate across water-limited regions using Google Earth Engine[J]. United States Geological Survey,2019,233.
APA	Bunting, Erin L.,Munson, Seth M.,&Bradford, John B..(2019).Assessing plant production responses to climate across water-limited regions using Google Earth Engine.REMOTE SENSING OF ENVIRONMENT,233.
MLA	Bunting, Erin L.,et al."Assessing plant production responses to climate across water-limited regions using Google Earth Engine".REMOTE SENSING OF ENVIRONMENT 233(2019).