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首页> 外文期刊>Journal of the Indian Society of Soil Science >Developing a Soil Quality Index for Ravinous Ustifluvents of theSemi-Arid Region of India
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Developing a Soil Quality Index for Ravinous Ustifluvents of theSemi-Arid Region of India

机译:为印度半干旱地区的褐藻毒物开发土壤质量指数

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摘要

Understanding impacts and processes involved induced by changes in land use pattern is a key issue for management policies which helps in formulation of land restoration and reclamation strategies. A study was conducted at ravinous landform of the Ustifluvents of the Yamuna region to select the most sensitive soil quality indicators, which may reflect on the state of soil condition. Three different land use systems (forest, agriculture and uncultivated ravinous wasteland-reference land) were selectedfor the study. In forest land use the most prevalent species (Jatropha curcas, Leucaena leucocephala, Acacia nilotica, Azadirachta indica and Prosopis juliflora) of the semi-arid regions were selected. An uncultivated ravinous wasteland located adjacentto agriculture and forest land uses was selected as reference site for comparison. The entire data of soil properties under different land use systems were subjected to principal component analysis (PCA) for identification of sensitive indicators. Correlation analyses amongst the highly weighed variables were done to remove the redundant parameters. In order to develop the soil quality index and assess the relative degradation status of different land uses, the sensitive indicators were normalized to 0-1 scale by different scoring functions and finally an index was developed by using an additive model. The sensitive indicators (minimum dataset) under the ravinous Ustifluvent in descending order of importance as revealed by factor analysis were as foll
机译:了解土地使用方式变化所引起的影响和过程是管理政策的关键问题,有助于制定土地恢复和开垦战略。在Yamuna地区Ustifluvents的山坡地貌上进行了一项研究,以选择最敏感的土壤质量指标,这些指标可能会反映土壤状况。本研究选择了三种不同的土地利用系统(森林,农业和未耕种的草木荒地参考地)。在森林土地利用中,选择了半干旱地区最普遍的树种(麻风树,白叶银合欢,洋槐,印度印za和朱Pro)。选择与农业和林地用途相邻的未耕种的草木荒地作为参考地点进行比较。对不同土地利用系统下土壤性质的全部数据进行主成分分析(PCA),以识别敏感指标。进行了高权重变量之间的相关分析,以去除冗余参数。为了开发土壤质量指标并评估不同土地利用方式的相对退化状况,通过不同的评分函数将敏感指标归一化为0-1等级,最后使用加性模型建立了指标。因子分析显示,在Ustifluvent病毒下,敏感指标(最小数据集)的重要性从高到低依次为

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