干旱区生态环境知识资源中心(Arid): Spatiotemporal variability of photosynthetic and non-photosynthetic vegetation under climate change in arid and semiarid regions in China

Arid

DOI	10.1080/01431161.2023.2229496
	Spatiotemporal variability of photosynthetic and non-photosynthetic vegetation under climate change in arid and semiarid regions in China
	Guo, Liyang; Zhang, Fei; Chan, Ngai Weng; Tan, Mou Leong; Kung, Hsiang-Te; Zhang, Mengru
通讯作者	Zhang, F
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2023
卷号	44 期号:12 页码:3837-3860
英文摘要	Understanding the spatiotemporal characteristics of photosynthetic vegetation (PV) and non-photosynthetic vegetation (NPV) is critical for the study of vegetation in arid and semiarid regions. However, the evaluation of the fractional cover of PV (f (PV)) and NPV (f (NPV)) in Xinjiang has received very little attention. Thus, this study aims to evaluate the spatiotemporal variation characteristics of PV and NPV and their responses to precipitation and temperature in Xinjiang from 2001 to 2020. The results showed that the overall stability of f (PV) and f (NPV) were of the low fluctuation and high fluctuation types, respectively. A significant increase trend of f (PV) was found in most regions (P < 0.01), while f (NPV) showed an insignificant increase trend in general, except for eastern Xinjiang (P > 0.05). The comparison of f (PV) and f (NPV) shows that the vegetation of Xinjiang has improved over time, except for the Yili region, showing the need to strengthen the environmental protection of this region. Through the spatial analysis, some agricultural oasis areas experienced an expansion in the distribution of vegetation, while some sparse vegetation distribution area has not improved. From the climate perspective, the response degree of f (PV) and f (NPV) with precipitation is higher than that of temperature. The responses of f (PV) and f (NPV) to precipitation are greater in the summer and spring phases, respectively. Whereas, the responses of both f (PV) and f (NPV) to temperature are greater in the autumn phase. In the time phase, precipitation mainly promotes the distribution of PV and NPV, while temperature mainly inhibits their distribution. This study provides a theoretical basis for ecological restoration and conservation in Xinjiang and other arid and semiarid regions worldwide.
英文关键词	Photosynthetic vegetation non-photosynthetic vegetation arid and semiarid regions spatiotemporal variation climatic factors partial correlation
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001023780800001
WOS关键词	NET PRIMARY PRODUCTIVITY ; LEAF-AREA INDEX ; FRACTIONAL COVER ; BARE SOIL ; XINJIANG ; PRECIPITATION ; RESPONSES ; DROUGHT ; TRENDS ; GROWTH
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397038
推荐引用方式 GB/T 7714	Guo, Liyang,Zhang, Fei,Chan, Ngai Weng,et al. Spatiotemporal variability of photosynthetic and non-photosynthetic vegetation under climate change in arid and semiarid regions in China[J],2023,44(12):3837-3860.
APA	Guo, Liyang,Zhang, Fei,Chan, Ngai Weng,Tan, Mou Leong,Kung, Hsiang-Te,&Zhang, Mengru.(2023).Spatiotemporal variability of photosynthetic and non-photosynthetic vegetation under climate change in arid and semiarid regions in China.INTERNATIONAL JOURNAL OF REMOTE SENSING,44(12),3837-3860.
MLA	Guo, Liyang,et al."Spatiotemporal variability of photosynthetic and non-photosynthetic vegetation under climate change in arid and semiarid regions in China".INTERNATIONAL JOURNAL OF REMOTE SENSING 44.12(2023):3837-3860.