干旱区生态环境知识资源中心(Arid): Scenario simulation of ecological risk based on land use/cover change-A case study of the Jinghe county, China

Arid

DOI	10.1016/j.ecolind.2021.108176
	Scenario simulation of ecological risk based on land use/cover change-A case study of the Jinghe county, China
	Zhang, Yue; Li, Yuzhen; Lv, Jing; Wang, Juan; Wu, Yan
通讯作者	Zhang, Y (corresponding author), Nanjing Normal Univ, Sch Geog Sci, Nanjing 210023, Peoples R China. ; Zhang, Y (corresponding author), Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China.
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2021
卷号	131
英文摘要	The Jinghe County of the Ebinur Lake Basin was chosen as the study area. Based on Landsat TM / OLI images obtained in 2007 and 2017, this paper attempts to use CLUE-S model to predict LUCC under three different scenarios (Natural Development scenario, Farmland Protection scenario, Water Resources Protection scenarios) in 2027. Landscape indices and ecological risk index were calculated and spatially interpolated for the whole region, and the results of ecological risk could be divided into five different zones: extremely low, low, moderate, high and extremely high. They were carried out for assessing the spatial-temporal changes in ecological risk for each landscape pattern. The results show that: (1) Among the three scenarios designed in this paper, the spatial distribution of LUCC in the Water Resource Protection scenario has the most obvious changes, followed by the Farmland Protection scenario and the Natural Development scenario becomes the third. In the water resources protection scenario, the scale of the desert decreases, but the forest and grass part increases, which is conducive to ecological improvement. (2) the distribution area of high ecological risk areas was the largest of three different scenarios, especially the farmland protection scenario. The area of low-risk level is the largest under the water conservation scenario. The ecological risk of LUCC under the water resources protection scenario is lower, which is better for ecological environment. (3) Water bodies mainly concentrate upon low ecological risk degree, ac-counting for approximately 62.8%, 82.2%, and 73.1% of low ecological risk; Farmland mainly lies in the low-risk areas, accounting for 59.1%, 63.5% and 68.8% of the lower ecological risk levels; In 2027, the unused land and other land types are the main land types of the higher ecological risk areas under three different scenarios, whose proportions are 67.40%, 68.24% and 65.90%, respectively.
英文关键词	Land use cover change (LUCC) CLUE-S Model Scenario Simulation Landscape Ecological Risk
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000703312400004
WOS关键词	CLUE-S MODEL ; LANDSCAPE ; IMPACT
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/2XILL650/363010
作者单位	[Li, Yuzhen] Xihua Univ, Sch Emergency Management, Chengdu 610039, Peoples R China; [Zhang, Yue; Lv, Jing] Nanjing Normal Univ, Sch Geog Sci, Nanjing 210023, Peoples R China; [Zhang, Yue; Lv, Jing] Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China; [Wang, Juan] Minist Water Resources, Pearl River Water Resources Commiss, Soil & Water Conservat Monitoring Ctr Pearl River, Guangzhou 510611, Peoples R China; [Wu, Yan] Xinjiang Normal Univ, Coll Geog & Tourism, Urumqi 830054, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yue,Li, Yuzhen,Lv, Jing,et al. Scenario simulation of ecological risk based on land use/cover change-A case study of the Jinghe county, China[J],2021,131.
APA	Zhang, Yue,Li, Yuzhen,Lv, Jing,Wang, Juan,&Wu, Yan.(2021).Scenario simulation of ecological risk based on land use/cover change-A case study of the Jinghe county, China.ECOLOGICAL INDICATORS,131.
MLA	Zhang, Yue,et al."Scenario simulation of ecological risk based on land use/cover change-A case study of the Jinghe county, China".ECOLOGICAL INDICATORS 131(2021).