干旱区生态环境知识资源中心(Arid): Evolution of landscape pattern and the association with ecosystem services in the Ili-Balkhash Basin

Arid

DOI	10.1007/s10661-022-09836-6
	Evolution of landscape pattern and the association with ecosystem services in the Ili-Balkhash Basin
	Huang, Feng; Ochoa, Carlos G.; Jarvis, W. Todd; Zhong, Ruisen; Guo, Lidan
通讯作者	Huang, F (corresponding author)，Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China. ; Huang, F (corresponding author)，Oregon State Univ, Coll Agr Sci Ecohydrol Lab, Corvallis, OR 97331 USA.
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2022
卷号	194 期号:3
英文摘要	The Ili-Balkhash Basin in Central Asia is an arid endorheic basin shared by China and Kazakhstan. Population growth, socio-economic development, ecological conservation measures, and climate change have spurred land use and land cover changes and ecosystem services variations. This study used the long-term dataset from 1992 to 2018 to detect the landscape pattern evolution and its association with ecosystem services. The landscape pattern was quantified using landscape metrics, and the GeoDetector model quantified the driving factors of landscape pattern evolution. The ecosystem service value was assessed using the benefit transfer method. The time series trend was identified by the linear regression analysis combined with the Mann-Kendall algorithm, and Pearson's correlation coefficient was used to confirm the correlation. The temporal dynamics of the landscape pattern indicated the significant conversion of bare land to grassland. Cropland and urban land expanded significantly at the expense of forestland, grassland, and bare land. Various landscape elements tended to be more uniformly distributed across the basin with more regular shape and higher aggregation. The ecosystem service value increased significantly, and its correlation with the landscape pattern varied according to land use and land cover (LULC) types. The weakened shape complexity, the strengthened aggregation degree, and the more uniform distribution of different LULC types helped elevate total ecosystem service value. The results advanced the understanding of landscape pattern evolution and provided the scientific reference for land management regarding ecosystem services. Given the watershed ecosystem's integrity, transboundary cooperation between China and Kazakhstan was suggested to reinforce watershed sustainability through integrated watershed land resource planning and the joint adaptive strategies to climate change.
英文关键词	Land use and cover Ecological value Spatiotemporal dynamics Driving forces Transboundary cooperation Central Asia
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000754213600001
WOS关键词	LAND-COVER CHANGE ; LAKE BALKHASH ; CLIMATE-CHANGE ; RIVER RUNOFF ; XINJIANG ; IMPACTS ; TRENDS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376235
作者单位	[Huang, Feng] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China; [Huang, Feng; Ochoa, Carlos G.] Oregon State Univ, Coll Agr Sci Ecohydrol Lab, Corvallis, OR 97331 USA; [Jarvis, W. Todd] Oregon State Univ, Inst Water & Watersheds, Corvallis, OR 97331 USA; [Zhong, Ruisen] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China; [Guo, Lidan] Hohai Univ, Int River Res Ctr, Nanjing 211100, Peoples R China; [Guo, Lidan] Hohai Univ, Business Sch, Nanjing 211100, Peoples R China
推荐引用方式 GB/T 7714	Huang, Feng,Ochoa, Carlos G.,Jarvis, W. Todd,et al. Evolution of landscape pattern and the association with ecosystem services in the Ili-Balkhash Basin[J],2022,194(3).
APA	Huang, Feng,Ochoa, Carlos G.,Jarvis, W. Todd,Zhong, Ruisen,&Guo, Lidan.(2022).Evolution of landscape pattern and the association with ecosystem services in the Ili-Balkhash Basin.ENVIRONMENTAL MONITORING AND ASSESSMENT,194(3).
MLA	Huang, Feng,et al."Evolution of landscape pattern and the association with ecosystem services in the Ili-Balkhash Basin".ENVIRONMENTAL MONITORING AND ASSESSMENT 194.3(2022).