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首页> 外文期刊>Ecological indicators >Cropland disturbance intensity: Plot-scale measurements, multilevel determinants and applications in rural environmental protection
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Cropland disturbance intensity: Plot-scale measurements, multilevel determinants and applications in rural environmental protection

机译:农田扰动强度:地块尺度测量,多级决定因素及其在农村环境保护中的应用

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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.
机译:当前,中国正在集中精力解决其环境污染问题。对于农村环境保护,至关重要的是确定对环境造成负面影响以及潜在环境污染风险高的耕作方式。这项研究提出了一种开发新指标的方法,该指标专门针对评估样地规模的农田干扰强度(CLDI)。系统地评估了在每个作物管理阶段可能引起物理和化学干扰的不同耕作方式。粗糙集方法用于避免权重分配过程中的主观性。此外,应用有序逻辑模型分析影响CLDI的关键因素,并确定中国西南山区农村环境保护的潜在领域。我们的研究结果表明,耕作对物理干扰的影响最大,而无机肥料的广泛应用是造成化学干扰高的主要原因。传统耕作区的农田受到了更严重的人为干扰。但是,在那些非农工作很流行并且广泛参与中国的“坡地改建计划”的地区,农田受到了最严重的化学干扰。模型结果表明,住户和地块水平变量均显着影响CLDI(R-2 = 0.65,P <0.01)。在家庭层面,对CLDI产生积极影响的关键变量包括农业劳动力的规模,现金收入和每个农业劳动力的耕地面积。化学干扰的强度随着非农工作的增加而增加。在样地水平上,到家庭的距离对CLDI产生了负面影响,而到最近森林的距离则产生了积极影响。为了减少研究区的水土流失和控制面源污染,我们建议优先考虑距家庭150到800 m半径范围内的农田。

著录项

  • 来源
    《Ecological indicators》 |2018年第5期|393-401|共9页
  • 作者单位

    Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China;

    Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China;

    Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China;

    Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;

    Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Land use intensity; Farming practices; Soil erosion; Non-point source pollution; Rough set theory;

    机译:土地利用强度;耕作方式;水土流失;面源污染;粗糙集理论;

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