干旱区生态环境知识资源中心(Arid): Original Cultivated land use efficiency and its driving factors in the Yellow River Basin, China

Arid

DOI	10.1016/j.ecolind.2022.109411
	Original Cultivated land use efficiency and its driving factors in the Yellow River Basin, China
	Zhou, Xiao; Wu, Di; Li, Jiangfeng; Liang, Jiale; Zhang, Dou; Chen, Wanxu
通讯作者	Chen, WX
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2022
卷号	144
英文摘要	China is accelerating green and low-carbon transformations of cultivated land to achieve a carbon peak by 2030 and to actively respond to global climate change. Evaluating the cultivated land use efficiency (CLUE) and determining its driving factors help reduce cultivated land-use carbon emissions and promote green and low -carbon transformations of cultivated land. However, previous carbon emission-based studies of CLUE and its driving factors have been insufficient. Therefore, in this study, we explored the spatiotemporal characteristics and driving factors of CLUE in the Yellow River Basin (YRB), China, based on carbon emissions. A slacks-based model with undesirable (bad) outputs, spatial autocorrelation models, and geographic detector models was used for the analysis, with statistical data from 2005 to 2017 as inputs. The overall CLUE values in the YRB increased and subsequently decreased with time. The Huang-Huai-Hai Plain (HHHP) consistently had the highest values, followed by the northern arid and semi-arid regions (NASR), the Loess Plateau (LP), and the Qinghai-Tibet Plateau (QTP). According to the global spatial autocorrelation, the CLUE had a positive association with themselves. The major cluster types moved from high-high and low-low to high-high cluster types in eastern Henan and southern Shanxi provinces, according to local spatial autocorrelation. Per capita grain possession was the main driver of CLUE in the YRB, HHHP, LP, and NASR, and road network density was the key driver of CLUE in the QTP, according to Geodetector analysis. Furthermore, non-linear enhancement dominates the driving factors of CLUE in the YRB, with non-linear enhancement dominating the HHHP, LP, and NASR, and bi-factor enhancement dominating the QTP. The findings of this study can be used to assist policymakers in formu-lating feasible, green, and efficient cultivated land-use policies.
英文关键词	Cultivated land use efficiency Carbon emission Spatial analysis Driving factors Yellow River Basin
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000864689200002
WOS关键词	CO2 EMISSIONS ; PRODUCTIVITY ; IMPACT ; MODEL ; POLICIES ; AREAS ; WATER
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392344
推荐引用方式 GB/T 7714	Zhou, Xiao,Wu, Di,Li, Jiangfeng,et al. Original Cultivated land use efficiency and its driving factors in the Yellow River Basin, China[J],2022,144.
APA	Zhou, Xiao,Wu, Di,Li, Jiangfeng,Liang, Jiale,Zhang, Dou,&Chen, Wanxu.(2022).Original Cultivated land use efficiency and its driving factors in the Yellow River Basin, China.ECOLOGICAL INDICATORS,144.
MLA	Zhou, Xiao,et al."Original Cultivated land use efficiency and its driving factors in the Yellow River Basin, China".ECOLOGICAL INDICATORS 144(2022).