干旱区生态环境知识资源中心(Arid): Investigating and predicting spatiotemporal variations in vegetation cover in transitional climate zone: a case study of Gansu (China)

Arid

DOI	10.1007/s00704-022-04140-2
	Investigating and predicting spatiotemporal variations in vegetation cover in transitional climate zone: a case study of Gansu (China)
	He, Qing; Chun, Kwok Pan; Dieppois, Bastien; Chen, Liang; Fan, Ping Yu; Toker, Emir; Yetemen, Omer; Pan, Xicai
通讯作者	Chun, KP
来源期刊	THEORETICAL AND APPLIED CLIMATOLOGY
ISSN	0177-798X
EISSN	1434-4483
出版年	2022
卷号	150 期号:1-2 页码:283-307
英文摘要	Vegetation ecosystems are sensitive to large-scale climate variability in climate transition zones. As a representative transitional climate zone in Northwest China, Gansu is characterized by a sharp climate and vegetation gradient. In this study, the spatiotemporal variations of vegetation over Gansu are characterized using the satellite-based normalized difference vegetation index (NDVI) observations during 2000-2020. Results demonstrate that a significant greening trend in vegetation over Gansu is positively linked with large-scale climate factors through modulating the water and energy dynamics. As a climate transition zone, the northern water-limited and southern energy-limited regions of Gansu are affected by water and energy dynamics, differently. In the water-limited region, a weakening Asian monsoon along with colder Central Pacific (CP) and warmer North Pacific (NP) Oceans enhances prevailing westerlies which bring more atmospheric moisture. The enhanced atmospheric moisture and rising temperature promote the local vegetation growth. In contrast, large-scale climate variations suppress the southwest monsoon moisture fluxes and reduce precipitation in southern energy-limited regions. In these energy-limited regions, temperature has more effects on vegetation growth than precipitation. Therefore, the greenness of vegetation is because of more available energy from higher temperatures despite overall drying conditions in the region. Based on the above mechanism, future scenarios for climate impacts on vegetation cover over Gansu region are developed based on the two latest generation from coupled climate models (Coupled Model Intercomparison Project Phase 5 and Phase 6; CMIP5 and CMIP6). In the near-term future (2021-2039), the vegetation is likely to increase due to rising temperature. However, the vegetation is expected to decrease in a long-term future (2080-2099) when the energy-limited regions become water-limited due to increasing regional temperatures and lowering atmospheric moisture flux. This study reveals an increasing desertification risk over Gansu. Similar investigations will be valuable in climate transition regions worldwide to explore how large-scale climate variability affects local ecological services under different future climate scenarios.
类型	Article
语种	英语
开放获取类型	Green Published, hybrid
收录类别	SCI-E
WOS记录号	WOS:000836756900001
WOS关键词	INDIAN-SUMMER MONSOON ; NINO-SOUTHERN OSCILLATION ; SEA-SURFACE TEMPERATURE ; YANGTZE-RIVER BASIN ; KENDALL TREND TEST ; INNER-MONGOLIA ; PRECIPITATION REGIMES ; HOLOCENE VEGETATION ; BIAS-CORRECTION ; HEXI CORRIDOR
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394724
推荐引用方式 GB/T 7714	He, Qing,Chun, Kwok Pan,Dieppois, Bastien,et al. Investigating and predicting spatiotemporal variations in vegetation cover in transitional climate zone: a case study of Gansu (China)[J],2022,150(1-2):283-307.
APA	He, Qing.,Chun, Kwok Pan.,Dieppois, Bastien.,Chen, Liang.,Fan, Ping Yu.,...&Pan, Xicai.(2022).Investigating and predicting spatiotemporal variations in vegetation cover in transitional climate zone: a case study of Gansu (China).THEORETICAL AND APPLIED CLIMATOLOGY,150(1-2),283-307.
MLA	He, Qing,et al."Investigating and predicting spatiotemporal variations in vegetation cover in transitional climate zone: a case study of Gansu (China)".THEORETICAL AND APPLIED CLIMATOLOGY 150.1-2(2022):283-307.