Arid
DOI10.1016/j.catena.2017.07.003
Policy factors impact analysis based on remote sensing data and the CLUE-S model in the Lijiang River Basin, China
Liu, Guang1; Jin, Qingwen1; Li, Jingyi2; Li, Lei3; He, Chengxin4; Huang, Yuqing4; Yao, Yuefeng4
通讯作者Jin, Qingwen
来源期刊CATENA
ISSN0341-8162
EISSN1872-6887
出版年2017
卷号158页码:286-297
英文摘要

Land use change is affected by many driving factors such as the economy, population, and government policy. This study investigated the relationship between government policy and land use change to develop an understanding applicable to the formulation of strategies for sustainable land use. The Lijiang River Basin in the Guangxi Zhuang Autonomous Region in southern China was selected for this study. The predicted characteristics of land use change were explored using the CLUE-S numerical model and logistic regression. Using Landsat remote sensing imagery as source data, we simulated the tendency of land use change from 1993 to 2020 under two scenarios: a Natural Growth Scenario (NS) and a Government Intervention Scenario (GS), and we analyzed the possible social driving factors. The results revealed that from 1993 to 2015, both construction and cultivated land have shown a tendency of areal increase. Water and woodland areas both decreased from 1993 to 2006 but then they increased dramatically from 2006 to 2015. Shrubland areas increased from 1993 to 2006 but decreased slightly from 2006 to 2015. The CLUE-S model was used to predict the spatial patterns of land use for 2020. It showed that under the NS, the areas of construction and cultivated land increased, while the areas of other land uses decreased. Under the GS, the areas of construction land, woodland, cultivated land, and water all increased, while the areas of the others declined. Furthermore, the area of woodland decreased for every county under the NS, but areas of woodland expansion were located in Lingchuan and Lingui counties under the GS. Hotspots of cultivated land occurred in Lingchuan County under the NS and in Xingan County under the GS. Water area decreased in every county under the NS, whereas increases in water areas occurred in Lingchuan and Guilin counties under the GS. Construction land expanded in Lingchuan County under the NS and in Guilin County under the GS. The Returning Farmland to Forest Program could be considered a successful addition to the eco-environmental policies implemented in the Lijiang River Basin.


英文关键词Land use change CLUE-S Scenarios Returning Farmland to Forest Program Lijiang River Basin
类型Article
语种英语
国家Peoples R China
收录类别SCI-E ; SSCI
WOS记录号WOS:000412252200027
WOS关键词LAND-USE CHANGE ; USE CHANGE DYNAMICS ; SOUTHWEST CHINA ; CELLULAR-AUTOMATA ; SIMULATION ; SCENARIOS ; DESERTIFICATION ; RESERVOIR ; PROVINCE ; TOURISM
WOS类目Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向Geology ; Agriculture ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/198063
作者单位1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, 9 Dengzimang South Rd, Beijing 100094, Peoples R China;
2.Baoji Univ Arts & Sci, Inst Geog & Environm, 1 Gaoxin Rd, Baoji 721013, Peoples R China;
3.Beijing Jiaotong Univ, Sch Civil Engn, Dept Survey, 3 Shangyuancun, Beijing 100044, Peoples R China;
4.Guangxi Zhuang Autonomous Reg & Chinese Acad Sci, Guangxi Inst Bot, Guangxi Key Lab Plant Conservat & Restorat Ecol K, 35 Yanshan Rd, Yanshan Dist 541006, Guilin, Peoples R China
推荐引用方式
GB/T 7714
Liu, Guang,Jin, Qingwen,Li, Jingyi,et al. Policy factors impact analysis based on remote sensing data and the CLUE-S model in the Lijiang River Basin, China[J],2017,158:286-297.
APA Liu, Guang.,Jin, Qingwen.,Li, Jingyi.,Li, Lei.,He, Chengxin.,...&Yao, Yuefeng.(2017).Policy factors impact analysis based on remote sensing data and the CLUE-S model in the Lijiang River Basin, China.CATENA,158,286-297.
MLA Liu, Guang,et al."Policy factors impact analysis based on remote sensing data and the CLUE-S model in the Lijiang River Basin, China".CATENA 158(2017):286-297.
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