干旱区生态环境知识资源中心(Arid): High-Resolution Monitoring and Assessment of Evapotranspiration and Gross Primary Production Using Remote Sensing in a Typical Arid Region

Arid

DOI	10.3390/land10040396
	High-Resolution Monitoring and Assessment of Evapotranspiration and Gross Primary Production Using Remote Sensing in a Typical Arid Region
	Yan, Junxia; Ma, Yanfei; Zhang, Dongyun; Li, Zechen; Zhang, Weike; Wu, Zhenhua; Wang, Hui; Wen, Lihua
通讯作者	Ma, YF (corresponding author), Handan Coll, Dept Geog, Handan 056005, Hebei, Peoples R China.
来源期刊	LAND
EISSN	2073-445X
出版年	2021
卷号	10 期号:4
英文摘要	Land surface evapotranspiration (ET) and gross primary productivity (GPP) are critical components in terrestrial ecosystems with water and carbon cycles. Large-scale, high-resolution, and accurately quantified ET and GPP values are important fundamental data for freshwater resource management and help in understanding terrestrial carbon and water cycles in an arid region. In this study, the revised surface energy balance system (SEBS) model and MOD17 GPP algorithm were used to estimate daily ET and GPP at 100 m resolution based on multi-source satellite remote sensing data to obtain surface biophysical parameters and meteorological forcing data as input variables for the model in the midstream oasis area of the Heihe River Basin (HRB) from 2010 to 2016. Then, we further calculated the ecosystem water-use efficiency (WUE). We validated the daily ET, GPP, and WUE from ground observations at a crop oasis station and conducted spatial intercomparisons of monthly and annual ET, GPP, and WUE at the irrigation district and cropland oasis scales. The site-level evaluation results show that ET and GPP had better performance than WUE at the daily time scale. Specifically, the deviations in the daily ET, GPP, and WUE data compared with ground observations were small, with a root mean square error (RMSE) and mean absolute percent error (MAPE) of 0.75 mm/day and 26.59%, 1.13 gC/m(2) and 36.62%, and 0.50 gC/kgH(2)O and 39.83%, respectively. The regional annual ET, GPP, and WUE varied from 300 to 700 mm, 200 to 650 gC/m(2), and 0.5 to 1.0 gC/kgH(2)O, respectively, over the entire irrigation oasis area. It was found that annual ET and GPP were greater than 550 mm and 500 gC/m(2), and annual oasis cropland WUE had strong invariability and was maintained at approximately 0.85 gC/kgH(2)O. The spatial intercomparisons from 2010 to 2016 revealed that ET had similar spatial patterns to GPP due to tightly coupled carbon and water fluxes. However, the WUE spatiotemporal patterns were slightly different from both ET and GPP, particularly in the early and late growing seasons for the oasis area. Our results demonstrate that spatial full coverage and reasonably fine spatiotemporal variation and variability could significantly improve our understanding of water-saving irrigation strategies and oasis agricultural water management practices in the face of water shortage issues.
英文关键词	evapotranspiration (ET) gross primary productivity (GPP) cropland WUE remote sensing model irrigation water management data fusion agriculture monitoring arid region
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	SSCI
WOS记录号	WOS:000643229300001
WOS关键词	WATER-USE EFFICIENCY ; GLOBAL TERRESTRIAL EVAPOTRANSPIRATION ; APERTURE SCINTILLOMETER MEASUREMENTS ; LAND-SURFACE TEMPERATURE ; NET PRIMARY PRODUCTION ; LIGHT USE EFFICIENCY ; BALANCE SYSTEM SEBS ; EDDY-COVARIANCE ; CARBON-DIOXIDE ; WINTER-WHEAT
WOS类目	Environmental Studies
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351063
作者单位	[Yan, Junxia] Hebei Normal Univ, Coll Resource & Environm Sci, Hebei Technol Innovat Ctr Remote Sensing Identifi, Shijiazhuang 050024, Hebei, Peoples R China; [Yan, Junxia; Ma, Yanfei; Zhang, Dongyun; Zhang, Weike; Wu, Zhenhua; Wang, Hui; Wen, Lihua] Handan Coll, Dept Geog, Handan 056005, Hebei, Peoples R China; [Li, Zechen] Harbin Univ Sci & Technol, Coll Sci, Harbin 150080, Heilongjiang, Peoples R China
推荐引用方式 GB/T 7714	Yan, Junxia,Ma, Yanfei,Zhang, Dongyun,et al. High-Resolution Monitoring and Assessment of Evapotranspiration and Gross Primary Production Using Remote Sensing in a Typical Arid Region[J],2021,10(4).
APA	Yan, Junxia.,Ma, Yanfei.,Zhang, Dongyun.,Li, Zechen.,Zhang, Weike.,...&Wen, Lihua.(2021).High-Resolution Monitoring and Assessment of Evapotranspiration and Gross Primary Production Using Remote Sensing in a Typical Arid Region.LAND,10(4).
MLA	Yan, Junxia,et al."High-Resolution Monitoring and Assessment of Evapotranspiration and Gross Primary Production Using Remote Sensing in a Typical Arid Region".LAND 10.4(2021).