干旱区生态环境知识资源中心(Arid): Integration of Boosted Regression Trees and Cellular Automata-Markov Model to Predict the Land Use Spatial Pattern in Hotan Oasis

Arid

DOI	10.3390/su12041396
	Integration of Boosted Regression Trees and Cellular Automata-Markov Model to Predict the Land Use Spatial Pattern in Hotan Oasis
	Wang, Shufang 1; Jiao, Xiyun 2,3; Wang, Liping 1; Gong, Aimin 1; Sang, Honghui 2; Salahou, Mohamed Khaled 3; Zhang, Liudong 1
通讯作者	Jiao, Xiyun
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2020
卷号	12 期号:4
英文摘要	The simulation and prediction of the land use changes is generally carried out by cellular automata-Markov (CA-Markov) model, and the generation of suitable maps collection is subjective in the simulation process. In this study, the CA-Markov model was improved by the Boosted Regression Trees (BRT) to simulate land use to make the model objectively. The weight of ten driving factors of the land use changes was analyzed in BRT, in order to produce the suitable maps collection. The accuracy of the model was verified. The outcomes represent a match of over 84% between simulated and actual land use in 2015, and the Kappa coefficient was 0.89, which was satisfactory to approve the calibration process. The land use of Hotan Oasis in 2025 and 2035 were predicted by means of this hybrid model. The area of farmland, built-up land and water body in Hotan Oasis showed an increasing trend, while the area of forestland, grassland and unused land continued to show a decreasing trend in 2025 and 2035. The government needs to formulate measures to improve the utilization rate of water resources to meet the growth of farmland, and need to increase ecological environment protection measures to curb the reduction of grass land and forest land for the ecological health.
英文关键词	land use change CA-Markov model boosted regression trees Hotan Oasis
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000522460200114
WOS关键词	URBAN-GROWTH ; CHAIN ; SIMULATION ; SAMSUN ; WATER ; CITY
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
来源机构	河海大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315624
作者单位	1.Yunnan Agr Univ, Coll Water Conservancy, Kunming 650201, Yunnan, Peoples R China; 2.Hohai Univ, Coll Agr Engn, Nanjing 210098, Peoples R China; 3.Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Peoples R China
推荐引用方式 GB/T 7714	Wang, Shufang,Jiao, Xiyun,Wang, Liping,et al. Integration of Boosted Regression Trees and Cellular Automata-Markov Model to Predict the Land Use Spatial Pattern in Hotan Oasis[J]. 河海大学,2020,12(4).
APA	Wang, Shufang.,Jiao, Xiyun.,Wang, Liping.,Gong, Aimin.,Sang, Honghui.,...&Zhang, Liudong.(2020).Integration of Boosted Regression Trees and Cellular Automata-Markov Model to Predict the Land Use Spatial Pattern in Hotan Oasis.SUSTAINABILITY,12(4).
MLA	Wang, Shufang,et al."Integration of Boosted Regression Trees and Cellular Automata-Markov Model to Predict the Land Use Spatial Pattern in Hotan Oasis".SUSTAINABILITY 12.4(2020).