Spatial Patterns and Driving Forces of Greenhouse Land Change in Shouguang City, China

doi:10.3390/su9030359

	Spatial Patterns and Driving Forces of Greenhouse Land Change in Shouguang City, China
	Yu, Bohua 1; Song, Wei 1; Lang, Yanqing 1,2
刊名	SUSTAINABILITY
	2017-03-01
卷号	9 期号:3 页码:15
关键词	land use change greenhouse land driving forces logistic regression Shouguang city China
ISSN号	2071-1050
DOI	10.3390/su9030359
通讯作者	Song, Wei(songw@igsnrr.ac.cn)
英文摘要	As an important facet of modern agricultural development, greenhouses satisfy ever-increasing demands for agricultural production and, therefore, constitute a growing proportion of global agriculture. However, just a handful of countries regularly collect statistics on the land cover of greenhouse infrastructure. Even when collected, these data cannot provide the detailed spatial information required for environmental risk assessment. It is, therefore, important to map spatial changes in greenhouse land cover using remote sensing (RS) approaches to determine the underlying factors driving these changes. In this paper, we apply a support vector machine (SVM) algorithm to identify greenhouse land cover in Shouguang City, China. Enhanced thematic mapper (ETM) images were selected as the data source for land use classification in this study as they can be freely acquired and offer the necessary spatial resolution. We then used a binary logistic regression model to quantitatively discern the mechanisms underlying changes in greenhouse land cover. The results of this study show that greenhouse land cover in Shouguang increased by 50.51% between 2000 and 2015, and that 90.39% of this expansion took place between 2010 and 2015. Elevation, slope, precipitation, and the distance to the nearest rural settlements and coastline are all significant factors driving expansion in greenhouse land cover, while distance to the nearest urban areas, rivers, roads, railways, and coastline have contributed to contractions in this land use type. Our research provided a practical approach to allow the detection of changes in greenhouse land cover in the countries with using free or low-cost satellite images.
资助项目	National Natural Science Foundation of China[41171079] ; National Natural Science Foundation of China[41501192] ; National Natural Science Foundation of China[41671177] ; National Key Basic Research Program of China[2015CB452702] ; National Key Research and Development Program[2016YFA0602402]
WOS关键词	GENERALIZED LINEAR-MODELS ; CLUE-S MODEL ; CLASSIFICATION APPROACH ; LOGISTIC-REGRESSION ; PLASTIC GREENHOUSE ; URBAN EXPANSION ; COVER CHANGE ; IMAGERY ; GROWTH ; AREAS
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	MDPI AG
WOS记录号	WOS:000398714100036
资助机构	National Natural Science Foundation of China ; National Key Basic Research Program of China ; National Key Research and Development Program
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/64637]
专题	中国科学院地理科学与资源研究所
通讯作者	Song, Wei
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Chongqing Jiaotong Univ, Coll Architecture & Urban Planning, Chongqing 400074, Peoples R China
推荐引用方式 GB/T 7714	Yu, Bohua,Song, Wei,Lang, Yanqing. Spatial Patterns and Driving Forces of Greenhouse Land Change in Shouguang City, China[J]. SUSTAINABILITY,2017,9(3):15.
APA	Yu, Bohua,Song, Wei,&Lang, Yanqing.(2017).Spatial Patterns and Driving Forces of Greenhouse Land Change in Shouguang City, China.SUSTAINABILITY,9(3),15.
MLA	Yu, Bohua,et al."Spatial Patterns and Driving Forces of Greenhouse Land Change in Shouguang City, China".SUSTAINABILITY 9.3(2017):15.