气候变化领域集成服务门户(CCPortal): How does vegetation change under the warm-wet tendency across Xinjiang, China?

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DOI	10.1016/j.jag.2024.103664
	How does vegetation change under the warm-wet tendency across Xinjiang, China?
	Zhang, Hao; Hu, Zengyun; Zhang, Zhuo; Li, Yaoming; Song, Shiran; Chen, Xi
发表日期	2024
ISSN	1569-8432
EISSN	1872-826X
起始页码	127
卷号	127
英文摘要	Recently, the warm-wet tendency in northwestern China has become a hot research topic. How does vegetation change under this tendency, and what are the impacts of climate change on vegetation? To address these questions, the dynamic variations in vegetation and their relationships with five climate factors (i.e., Pre: precipitation, Tmp: temperature, SM: root zone soil moisture, Vap: vapor pressure, and Pet: potential evapotranspiration) across Xinjiang are comprehensively analyzed during the period of 1982-2021. The spatiotemporal variations in vegetation are analyzed using the normalized difference vegetation index (NDVI) and leaf area index (LAI), employing the Mann-Kendall (M-K) and empirical orthogonal function (EOF) approaches. The key findings indicate that a significant greening trend is observed, with a value of 0.00226 m(2)m(-2)year(-1) according to the annual LAI. For the seasonal variations, the vegetation had the largest increasing trend in summer (JJA: June, July, August) compared with the other seasons, with significant values of 0.000876 year(-1) and 0.00382 m(2)m(2)year(-1) for the NDVI and LAI, respectively (p < 0.05). The spring (MAM: March, April, May) and the growing season (GS) also have significant increasing trends based on the LAI. Spatially, approximately 40 % of the areas have an increasing trend, indicating greening variations, which are mainly distributed in the mountainous area of northwestern Xinjiang. The EOF results also suggest that the vegetation in the mountainous area of northwestern Xinjiang has a greening trend. The vegetation is significantly positively correlated with the five climate factors, which illustrates their positive influence on the vegetation. Our study helps to better understand the long-term vegetation variations under the warm-wet tendency, which provides an important scientific basis for net primary production (NPP) variations and the carbon cycle in Xinjiang.
英文关键词	Normalized difference vegetation index (NDVI); leaf area index (LAI); Warm -wet tendency; Temporal and spatial variations; Xinjiang
语种	英语
WOS研究方向	Remote Sensing
WOS类目	Remote Sensing
WOS记录号	WOS:001171715100001
来源期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/290382
作者单位	Chinese Academy of Sciences; Xinjiang Institute of Ecology & Geography, CAS; Chinese Academy of Sciences; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Shanghai Jiao Tong University
推荐引用方式 GB/T 7714	Zhang, Hao,Hu, Zengyun,Zhang, Zhuo,et al. How does vegetation change under the warm-wet tendency across Xinjiang, China?[J],2024,127.
APA	Zhang, Hao,Hu, Zengyun,Zhang, Zhuo,Li, Yaoming,Song, Shiran,&Chen, Xi.(2024).How does vegetation change under the warm-wet tendency across Xinjiang, China?.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,127.
MLA	Zhang, Hao,et al."How does vegetation change under the warm-wet tendency across Xinjiang, China?".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 127(2024).