A comparison of soil quality indexing methods for vegetable production systems in Northern California

Andrews, Susan S.; Karlen, Douglas L.; Mitchell, Jeffrey P.

doi:10.1016/s0167-8809(01)00174-8

Cited by 956 publications

(765 citation statements)

References 43 publications

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“…There are two approaches that are mainly found for indicator selection in the literature: the opinion of experts (Doran and Parkin 1994;Bastida et al 2008) and different mathematical-statistical systems such as regression equations and PCA (Andrews and Carroll 2001;Sharma et al 2005). In our study, we used the synthetic soil quality index (SQI), which was based on a mathematical-statistical system (Andrews et al 2002a), to assess the soil quality of the rhizosphere under different vegetation types in the Yuanmou dry-hot valley. Five parameters (OM, pH, MBN, TK and PA), which were considered to be the most important indicators based on the PCA analysis, were selected to calculate SQI.…”

Section: Discussionmentioning

confidence: 99%

“…A principal component analysis (PCA) was used to select the appropriate indices and their weighting factors. Only the variables with high factor loadings were retained for each principal component (PC), and high factor loadings were defined as having absolute values within 10% of the highest factor loading (Andrews et al 2002a). When more than one variable was retained under a single PC, multivariate correlation was employed to determine if the variables could be considered redundant and, therefore, eliminated from the SQI.…”

Section: Soil Quality Index (Sqi)mentioning

confidence: 99%

“…The development of a soil quality index (SQI) based on a combination of different soil properties has been shown to solve this problem. The establishment of an SQI involves three main steps: (1) selecting appropriate parameters for a minimum data set, (2) transforming the indicators to scores and (3) combining the scores into an index (Andrews et al 2002a). This framework, which is based on mathematical theory, was later applied by different experts.…”

Section: Introductionmentioning

confidence: 99%

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Effects of vegetation restoration types on soil quality in Yuanmou dry-hot valley, China

Peng

Chen

Fang

et al. 2013

Soil Science and Plant Nutrition

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Soil erosion has resulted in serious land degradation in Yuanmou dry-hot valley, Yunnan province, China. Vegetation restoration had been widely developed in this hot and arid area. In this work we investigate the quality of rhizosphere soils under four restoration species in the towns of Zuolin (gully bed) and Yuanma (slope area). [pH, soil organic matter, nitrogen (N), phosphorus (P) and potassium (K) contents], and microbial (microbial biomass and microbe quantity) properties and soil enzyme (catalase, protease and urease) activities were determined. Compared to the soils collected from other vegetation types, the soil under Leucaena leucocephala had the highest content of soil organic matter, total N, available N, total P, available P, available K, microbial biomass carbon (C), and the highest microbe quantity and enzyme activities. Five parameters (organic matter, pH, microbial biomass N, total K and protease activity), which had the greatest weight in the principal components analysis, were selected to calculate the soil quality index (SQI). The final SQI values implied that restoring Leucaena leucocephala greatly improved the soil quality, while restoration with Eucalyptus camaldulensis decreased the soil quality of the slope area. Plant recovery with Dodonaea viscosa and Heteropogon contortus on the gully bed affected the population of soil microbial communities but didn't improve the SQI values. It can therefore be seen that types of plants used for recovery in gully-developed regions in dry-hot valleys must be chosen cautiously: Leucaena leucocephala is a good choice for soil revegetation of the slope area, but the revegetation patterns on the gully bed still need further study.

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Section: Discussionmentioning

confidence: 99%

Section: Soil Quality Index (Sqi)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effects of vegetation restoration types on soil quality in Yuanmou dry-hot valley, China

Peng

Chen

Fang

et al. 2013

Soil Science and Plant Nutrition

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“…In the selected principal components, the variables with higher loadings were retained (Mukhopadhyaya et al 2014;Andrews et al 2002). These variables were submitted to one-way ANOVA (not assuming equal variances) and the Tukey's honestly significant difference (HSD) multiple comparisons test (a = 5%), in order to identify differences in water quality among the sampling sites.…”

Section: Discussionmentioning

confidence: 99%

Water quality, pollutant loads, and multivariate analysis of the effects of sewage discharges into urban streams of Southeast Brazil

Medeiros

Tresmondi

Queiroz

et al. 2017

Energ. Ecol. Environ.

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Water demand, pollution, and climate change threaten water security in industrialized and urbanized regions worldwide, especially in developing countries. Investments in massive infrastructure have often not met the water needs of the population, requiring water resource managers to adopt new approaches, such as decentralized and regionalized management at the micro-basin scale. However, little is known about the impact of anthropogenic activities on the water quality and vulnerability of streams that cross urban areas and feed into the main rivers and reservoirs supplying cities and industrial regions. The main goals of this research were to evaluate the water quality, pollutant loads, and effect of untreated sewage discharges in streams of the Piracicaba river basin, in the municipality of Americana, Southeast Brazil. The water quality parameters evaluated were as follows: pH, dissolved oxygen, electrical conductivity, biochemical oxygen demand, inorganic phosphorus, total phosphorus, total nitrogen, real colour, turbidity, total dissolved solids, metals (Ba, Cr, Cu, Ni, Pb, Cd, and Zn), total coliforms, and Escherichia coli. Descriptive statistics and multivariate analyses were performed. The results revealed chemical and biological degradation of the water resources, and vulnerability of the urban streams due to the release of untreated sewage into these waterways. The findings indicate the need for an immediate implementation of policies to monitor and control discharges of industrial effluents into the sewage collection systems, as well as discharges of sewage into rainwater drainage systems, together with the maintenance of green spaces.

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“…Soil chemical, physical, and biological attributes (Karlen et al, 2001) have been used historically as proxies to soil quality (Andrews et al, 2002), which is a concept related to intrinsic characteristics of the soil, to its interactions with the ecosystem, and to the type of land use or management. This implies some degree of subjectivity as to individual perceptions of what can be deemed "good quality" (Velasquez et al, 2007;Blanco & Lal, 2008).…”

Section: Introductionmentioning

confidence: 99%

Selecting soil quality indicators for different soil management systems in the Brazilian Cerrado

Stefanoski

Figueiredo

Santos

et al. 2016

Pesq. agropec. bras.

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-The objective of this work was to assess soil quality indicators obtained with different datasets to compare soil management systems in the Brazilian Cerrado. Three criteria were used to select soil physical, chemical, and biological indicators: the full set of indicators obtained, with 36 parameters, for which all the physical, chemical, and biological soil properties were determined; a subset of indicators selected by principal component analysis (20 parameters); and a subset of indicators with some frequency of use in the literature (16 parameters). These indicators were obtained from the following management systems: no-tillage, conventional tillage, and native cerrado vegetation. Soil samples were collected at 0.0-0.1-m soil depth, and soil quality indicators were subjected to analysis of variance and their means were compared. The incorporation of soil native cerrado into agriculture decreased soil quality. The most commonly used indicators in the scientific literature are sensitive enough to detect differences in soil quality according to land use. Therefore, the selection of a minimum set of representative data can be more useful than a complex set of properties to compare management systems as to their soil quality.Index terms: no-tillage, principal component analysis, soil functioning, soil health, soil management, soil security. Seleção de indicadores da qualidade do solo para diferentes sistemas de manejo do solo no CerradoResumo -O objetivo deste trabalho foi avaliar indicadores da qualidade do solo, obtidos de diferentes bases de dados, para comparar sistemas de manejo do solo no Cerrado. Três critérios foram utilizados para a seleção de indicadores físicos, químicos e biológicos do solo: o conjunto completo de indicadores obtido, com 36 parâmetros, entre os quais todas as propriedades físicas, químicas e biológicas foram determinadas; um subconjunto de indicadores selecionados por análise de componentes principais (20 parâmetros); e um subconjunto de indicadores com alguma frequência de uso na literatura (16 parâmetros). Esses indicadores foram obtidos a partir dos seguintes sistemas de manejo: plantio direto, preparo convencional e cerrado nativo. As amostras de solo foram coletadas a 0,0-0,1 m de profundidade, e os indicadores de qualidade do solo foram submetidos à análise de variância e suas médias foram comparadas. A incorporação do solo de cerrado nativo à agricultura diminuiu a qualidade do solo. Os indicadores mais comumente utilizados na literatura científica são suficientemente sensíveis para detectar diferenças de qualidade do solo de acordo com o uso da terra. Portanto, a seleção de um conjunto mínimo de dados representativos pode ser mais útil do que um conjunto complexo de atributos, para comparar sistemas de manejo quanto à qualidade do solo.Termos para indexação: plantio direto, análise de componentes principais, funcionamento do solo, saúde do solo, manejo do solo, segurança do solo.

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A comparison of soil quality indexing methods for vegetable production systems in Northern California

Cited by 956 publications

References 43 publications

Effects of vegetation restoration types on soil quality in Yuanmou dry-hot valley, China

Effects of vegetation restoration types on soil quality in Yuanmou dry-hot valley, China

Water quality, pollutant loads, and multivariate analysis of the effects of sewage discharges into urban streams of Southeast Brazil

Selecting soil quality indicators for different soil management systems in the Brazilian Cerrado

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