干旱区生态环境知识资源中心(Arid): Extended Dependence of the Hydrological Regime on the Land Cover Change in the Three-North Region of China: An Evaluation under Future Climate Conditions

Arid

DOI	10.3390/rs11010081
	Extended Dependence of the Hydrological Regime on the Land Cover Change in the Three-North Region of China: An Evaluation under Future Climate Conditions
	Yao, Yi 1,2; Xie, Xianhong 1,2; Meng, Shanshan 1,2; Zhu, Bowen 1,2; Zhang, Kang 1,2; Wang, Yibing 1,2
通讯作者	Xie, Xianhong
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:1
英文摘要	The hydrological regime in arid and semi-arid regions is quite sensitive to climate and land cover changes (LCC). The Three-North region (TNR) in China experiences diverse climate conditions, from arid to humid zones. In this region, substantial LCC has occurred over the past decades due to ecological restoration programs and urban expansion. At a regional scale, the hydrological effects of LCC have been demonstrated to be less observable than the effects of climate change, but it is unclear whether or not the effects of LCC may be intensified by future climate conditions. In this study, we employed remote sensing datasets and a macro-scale hydrological modeling to identify the dependence of the future hydrological regime of the TNR on past LCC. The hydrological effects over the period from 2020-2099 were evaluated based on a Representative Concentration Pathway climate scenario. The results indicated that the forest area increased in the northwest (11,691 km(2)) and the north (69 km(2)) of China but declined in the northeast (30,042 km(2)) over the past three decades. Moreover, the urban area has expanded by 1.3% in the TNR. Under the future climate condition, the hydrological regime will be influenced significantly by LCC. Those changes from 1986 to 2015 may alter the future hydrological cycle mainly by promoting runoff (3.24 mm/year) and decreasing evapotranspiration (3.23 mm/year) over the whole region. The spatial distribution of the effects may be extremely uneven: the effects in humid areas would be stronger than those in other areas. Besides, with rising temperatures and precipitation from 2020 to 2099, the LCC may heighten the risk of dryland expansion and flooding more than climate change alone. Despite uncertainties in the datasets and methods, the regional-scale hydrological model provides new insights into the extended impacts of ecological restoration and urbanization on the hydrological regime of the TNR.
英文关键词	hydrological cycle Three-North region climate change land cover change Variable Infiltration Capacity (VIC) model evapotranspiration runoff soil moisture
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000457935600081
WOS关键词	SPATIOTEMPORAL CHARACTERISTICS ; WATER-RESOURCES ; YELLOW-RIVER ; IMPACTS ; MODEL ; BASIN ; DESERTIFICATION ; MANAGEMENT ; PATTERNS ; RUNOFF
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	北京师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218328
作者单位	1.Beijing Normal Univ & Inst Remote Sensing & Digit, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China; 2.Beijing Normal Univ, Fac Geog Sci, Inst Remote Sensing Sci & Engn, Beijing Engn Res Ctr Global Land Remote Sensing P, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Yao, Yi,Xie, Xianhong,Meng, Shanshan,et al. Extended Dependence of the Hydrological Regime on the Land Cover Change in the Three-North Region of China: An Evaluation under Future Climate Conditions[J]. 北京师范大学,2019,11(1).
APA	Yao, Yi,Xie, Xianhong,Meng, Shanshan,Zhu, Bowen,Zhang, Kang,&Wang, Yibing.(2019).Extended Dependence of the Hydrological Regime on the Land Cover Change in the Three-North Region of China: An Evaluation under Future Climate Conditions.REMOTE SENSING,11(1).
MLA	Yao, Yi,et al."Extended Dependence of the Hydrological Regime on the Land Cover Change in the Three-North Region of China: An Evaluation under Future Climate Conditions".REMOTE SENSING 11.1(2019).