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Determining soil quality indicators by factor analysis

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TLDR
In this article, the authors identified appropriate soil quality indicators from factor analysis (FA) of five treatments: no-till corn (Zee mays) without manure (NT), NO-Till corn with manure (NM), NOTILL corn with NTR, conventional tillage corn (CT), and meadow (M) in Coshocton, Ohio.
Abstract
Soil quality indicators (SQIs) can be used to evaluate sustainability of land use and soil management practices in agroecosystems. The objective of this study was to identify appropriate SQI from factor analysis (FA) of five treatments: no-till corn (Zee mays) without manure (NT), no-till corn with manure (NTM), no-till corn‐soybean (Glycine max) rotation (NTR), conventional tillage corn (CT), and meadow (M) in Coshocton, Ohio. Soil properties were grouped into five factors (eigenvalues > 1) for the 0‐10 cm depth as: (Factor 1) water transmission, (Factor 2) soil aeration, (Factor 3) soil pore connection 1, (Factor 4) soil texture and (Factor 5) moisture status. Factor 2 was the most dominant, with soil organic carbon (SOC) the most dominant measured soil attribute contributing to this factor. For the 10‐20 cm depth, factors identified were: (Factor 6) soil aggregation, (Factor 7) soil pore connection 2, (Factor 8) soil macropore, and (Factor 9) plant production. At 10‐

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Journal ArticleDOI

Soil quality – A critical review

TL;DR: It is found that explicit evaluation of soil quality with respect to specific soil threats, soil functions and ecosystem services has rarely been implemented, and few approaches providing clear interpretation schemes of measured indicator values limits their adoption by land managers as well as policy.
Journal ArticleDOI

Use of indicators and pore volume-function characteristics to quantify soil physical quality

TL;DR: The Dexter "S -value" (S gi ) is a promising new indicator of soil physical quality (SPQ), but it is not well tested against established indicators, such as relative field capacity (RFC), plant-available water capacity (PAWC), air capacity (AC), macroporosity (P MAC), bulk density (BD), organic carbon content (OC), and structural stability index (SI) as discussed by the authors.
Journal ArticleDOI

Evaluating soil quality indices in an agricultural region of Jiangsu Province, China.

TL;DR: Li et al. as discussed by the authors analyzed the soil quality of Zhangjiagang County, a rapidly developing region of China, using the integrated quality index (IQI) and Nemero Quality Index (NQI) in combination with three indicator selection methods: total data set (TDS), minimum data set(MDS), and Delphi Data Set (DDS).
Journal ArticleDOI

Suitability of enzyme activities for the monitoring of soil quality improvement in organic agricultural systems

TL;DR: In this article, the authors compared 18 pairs of organic and neighbouring conventional olive orchards in southern Spain, and found that organic management resulted in significantly higher soil enzyme activities, while conventional management did not differ in their impact on basic soil physico-chemical properties, except for loss of on ignition and available inorganic N.
References
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Book

Applied Multivariate Statistical Analysis

TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.
Journal ArticleDOI

Applied Multivariate Statistical Analysis.

TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.
Book ChapterDOI

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TL;DR: In this article, the authors describe methods of particle-size analysis for soils, including a variety of classification schemes and standard methods for size distributions using pipet and hydrometer techniques.
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TL;DR: In this article, applied multivariate techniques were applied to the problem of applied multiivariate techniques, and the results showed that the proposed approach was more effective than the traditional multivariate technique.
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