Cropland disturbanCe intensity: Plot-scale measurements, multilevel determinants and applications in rural environmental protection
Li, Ming1,2; Wang, Yukuan1; Fu, Bin1; Xu, Pei1; Dai, Erfu3; Tian, Congshan1,2
刊名ECOLOGICAL INDICATORS
2018-05-01
卷号88页码:393-401
关键词Land use intensity Farming practices Soil erosion Non-point source pollution Rough set theory
ISSN号1470-160X
DOI10.1016/j.ecolind.2018.01.014
通讯作者Wang, Yukuan(wangyukuan@imde.ac.cn)
英文摘要Currently, China is focusing significant efforts to resolve its problems of environmental pollution. For rural environmental protection, it is critical to identify farming practices that pose a negative environmental impact and potential areas with high environmental pollution risk. This study presents a methodology for the development of a novel index, specifically targeted at the assessment of the plot-scale cropland disturbance intensity (CLDI). Different farming practices during each crop management stage that potentially induce both physical and chemical disturbances were systematically evaluated. The rough set method was utilized to avoid subjectivity during weight allocation. Furthermore, an ordered logic model was applied to analyze critical factors that affect CLDI as well as to identify potential areas of rural environmental protection in the mountainous regions of southwestern China. Our results indicate that tillage contributed most to the physical disturbance, and the widespread application of inorganic fertilizers was the main reason for the high level of chemical disturbance. Cropland plots in traditional farming areas received a more intensive physical disturbance. However, for areas where off-farm work is popular and with broad participation in China's Sloping Land Conversion Program, cropland plots suffered from the most intensive chemical disturbance. The model results show that both household and plot level variables significantly influenced the CLDI (R-2 = 0.65, P < 0.01). At the household level, critical variables that positively affected the CLDI included the scale of the agricultural laborer, cash income, and cultivated land area per agricultural laborer. The intensity of chemical disturbance increased with increasing off-farm work. At the plot level, distance from the household negatively impacted CLDI, while the distance to the nearest forest posed a positive influence. To achieve a reduction of soil erosion and non-point source pollution control in the study area, we suggest to prioritize cropland plots with a distance radius of 150 and 800 m from households, respectively.
资助项目National Key Basic Research Program of China (973 program)[2015CB452702] ; National Natural Science Foundation of China[41371539] ; CDM Fund Grant Project in China[2013030]
WOS关键词LAND-USE INTENSITY ; ROUGH SET-THEORY ; AGRICULTURAL INTENSITY ; SOIL LOSS ; TILLAGE PRACTICES ; WEST-AFRICA ; CHINA ; EROSION ; RUNOFF ; SIMULATION
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000430760800040
资助机构National Key Basic Research Program of China (973 program) ; National Natural Science Foundation of China ; CDM Fund Grant Project in China
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/55047]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Yukuan
作者单位1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Li, Ming,Wang, Yukuan,Fu, Bin,et al. Cropland disturbanCe intensity: Plot-scale measurements, multilevel determinants and applications in rural environmental protection[J]. ECOLOGICAL INDICATORS,2018,88:393-401.
APA Li, Ming,Wang, Yukuan,Fu, Bin,Xu, Pei,Dai, Erfu,&Tian, Congshan.(2018).Cropland disturbanCe intensity: Plot-scale measurements, multilevel determinants and applications in rural environmental protection.ECOLOGICAL INDICATORS,88,393-401.
MLA Li, Ming,et al."Cropland disturbanCe intensity: Plot-scale measurements, multilevel determinants and applications in rural environmental protection".ECOLOGICAL INDICATORS 88(2018):393-401.
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