气候变化领域集成服务门户(CCPortal): Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China

CCPortal

DOI	10.1016/j.ecolind.2021.107386
	Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China
	Feng, Kun; Wang, Tao; Liu, Shulin; Yan, Changzhen; Kang, Wenping; Chen, Xiang; Guo, Zichen
通讯作者	Liu, SL (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou 730000, Peoples R China.
发表日期	2021
ISSN	1470-160X
EISSN	1872-7034
卷号	124
英文摘要	As is a land degradation process caused by an uncoordinated Human-Earth relationship, aeolian desertification has threatened the safety of eco-environmental and the development of social economy in northern China. Although most studies focus on the causes or driving forces of aeolian desertification with climatic and anthropogenic factors, lack of the impact analysis of the relationship between climate change and human activities, the driving mechanism still remain unclear. In the present study, first the spatial patterns of aeolian desertification land from 1975 to 2015 were obtained by visual interpretation in Mu Us Sandy Land with satellite data. Then, climatic (i.e., temperature, precipitation, relative humidity, and wind speed), and socio-economic data (i.e., population density, livestock, woodland area, and farmland area) were combined with the aeolian desertification pattern to investigate the direct and indirect effects of climate change and human activities on the aeolian desertification via the path analysis model. The results are as follows: (1) During the past 4 decades, the aeolian desertification in Mu Us Sandy Land showed a trend of violent development-slow reversal with extremely severe aeolian desertified land as the main representative. The aeolian desertified land area reached 57,778.32 km(2) by 2015. (2) Overall, human activities accounted for 50.96% of the relative influence on aeolian desertification land net growth rate, followed by climate 49.04%, with the temperature, livestock, and population as dominate factors. (3) Path analysis identified a network of inter-correlations of human activities and climate in determining aeolian desertification land net growth rate. (4) The direct correlation of aeolian desertification land net growth rate with human activities was significantly weakened if removing the effects of climate. These results reveal the relative importance of human activities and climate and their complex interconnections in regulating aeolian desertification process.
关键词	GRASSLAND DESERTIFICATION CLIMATE-CHANGE IMPACT
英文关键词	Aeolian desertification; Path analysis model; Spatial-temporal dynamics; Driving factors; Mu Us Sandy Land
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS记录号	WOS:000624339800008
来源期刊	ECOLOGICAL INDICATORS
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254171
作者单位	[Feng, Kun; Wang, Tao; Liu, Shulin; Yan, Changzhen; Kang, Wenping; Chen, Xiang; Guo, Zichen] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou 730000, Peoples R China; [Feng, Kun; Chen, Xiang; Guo, Zichen] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Feng, Kun,Wang, Tao,Liu, Shulin,et al. Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China[J]. 中国科学院西北生态环境资源研究院,2021,124.
APA	Feng, Kun.,Wang, Tao.,Liu, Shulin.,Yan, Changzhen.,Kang, Wenping.,...&Guo, Zichen.(2021).Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China.ECOLOGICAL INDICATORS,124.
MLA	Feng, Kun,et al."Path analysis model to identify and analyse the causes of aeolian desertification in Mu Us Sandy Land, China".ECOLOGICAL INDICATORS 124(2021).