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摘要:
The knowledge of the soil quality plays a vital role in the agricultural sector. Despite its importance, there is scarce scientific information concerning this regard. The objective of this research is to develop a methodology to identify and select the most appropriate indicators of Soil Quality Index (SQI) in a region with high agricultural activity. For its conformation, a descriptive statistical analysis and a Pearson correlation matrix were performed and the indicators that showed greater variation were identified using a Principal Components Analysis (PCA). A sensitivity analysis was carried out and the most sensible soil indicators of?SQI?were identified. This statistical procedure was also used to specify the weights of the indicators in?SQI. The variables resulting from the multiparametric statistical analysis were pH, organic matter, sodium, calcium, iron, zinc, cation exchange capacity and electrical conductivity. The robustness of the?SQI?obtained in this study was demonstrated through simulations carried out by the numerical optimization through simplex method. The Soil Quality Index range obtained (0.54 - 0.75) locates Culiacan Valley soils as moderate/high quality.
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篇名 Robust Soil Quality Index for Tropical Soils Influenced by Agricultural Activities
来源期刊 农业化学和环境(英文) 学科 医学
关键词 Principal Components ANALYSIS SOIL QUALITY Index Pearson CORRELATION SOIL QUALITY INDICATORS Sensitivity ANALYSIS
年,卷(期) 2017,(4) 所属期刊栏目
研究方向 页码范围 199-221
页数 23页 分类号 R73
字数 语种
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Principal
Components
ANALYSIS
SOIL
QUALITY
Index
Pearson
CORRELATION
SOIL
QUALITY
INDICATORS
Sensitivity
ANALYSIS
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研究分支
研究去脉
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期刊影响力
农业化学和环境(英文)
季刊
2325-7458
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
166
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0
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