Using Multiple-Variable Indicator Kriging for Evaluating Soil Quality

Smith, Jeffrey L.; Halvorson, Jonathan J.; Papendick, R. I.

doi:10.2136/sssaj1993.03615995005700030020x

Cited by 164 publications

(84 citation statements)

References 5 publications

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“…Once the indicators are identified, methods need to be developed to integrate the indicators into a soil quality index. This integration procedure will require the use of information from all indicators as well as their interactions [9]. Several years ago, a procedure was developed to spatially evaluate soil quality.…”

Section: Introductionmentioning

confidence: 99%

“…Several years ago, a procedure was developed to spatially evaluate soil quality. The procedure, multiple 2 Applied and Environmental Soil Science variable indicator kriging (MVIK), categorizes numerous variables based on specific criteria producing a probability that an "area" or "soil" meets qualified standards [9]. For example, criteria can be developed and parameters measured and integrated to evaluate if a land area is suitable for development of irrigated agriculture.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, we have chosen several chemical and microbiological parameters that have been shown to be important in agriculture and are considered good indicators of soil quality [8,9]. These indicators, not meant to be inclusive, include microbial biomass, respiration, metabolic quotient (qCO 2 ), dehydrogenase, and phosphatase enzyme activity as well as pH, organic carbon (%C), and electrical conductivity (EC).…”

Section: Introductionmentioning

confidence: 99%

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Field Scale Studies on the Spatial Variability of Soil Quality Indicators in Washington State, USA

Smith

Halvorson

2011

Applied and Environmental Soil Science

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Arable lands are needed for sustainable agricultural systems to support an ever-growing human population. Soil quality needs to be defined to assure that new land brought into crop production is sustainable. To evaluate soil quality, a number of soil attributes will need to be measured, evaluated, and integrated into a soil-quality index using the multivariable indicator kriging (MVIK) procedure. This study was conducted to determine the spatial variability and correlation of indicator parameters on a field scale with respect to soil quality and suitability for use with MVIK. The variability of the biological parameters decreased in the order of respiration > enzyme assays and qCO 2 > microbial biomass C. The distribution frequency of all parameters except respiration were normal although the spatial distribution across the landscape was highly variable. The biological parameters showed little correlation with each other when all data points were considered; however, when grouped in smaller sections, the correlations were more consistent with observed patterns across the field. To accurately assess soil quality, and arable land use, consideration of spatial and temporal variability, soil conditions, and other controlling factors must be taken into account.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Field Scale Studies on the Spatial Variability of Soil Quality Indicators in Washington State, USA

Smith

Halvorson

2011

Applied and Environmental Soil Science

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“…Recently, increasing attention has been paid to the impact of the global land use change impacts on soil nutrient, biogeochemical cycles (Houghton et al, 2000;Priess et al, 2001). Therefore, it is important to analyse soil quality (Karlen et al, 1997) and the direction of its change with time (Doran, 2002;Herrick, 2000), and to use these as primary indicators of sustainable land use and management (Smith et al, 1994;Doran, 2002). Moreover, an analysis on changes of soil properties due to the land use change can support decision and policy-making processes at regional and national levels.…”

Section: Introductionmentioning

confidence: 99%

Effect of land use on soil nutrients in the loess hilly area of the Loess Plateau, China

Gong

Chen

et al. 2005

Land Degrad Dev

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Understanding the effects of land use change on soil properties is important for soil quality improvement and sustainable land use. In this study, six land use types including wasteland (WLD), cropland (CLD), abandoned land (ABD), artificial grassland (AGD), shrubland (SLD) and woodland (WOD) were selected to analyse the effects of land use types on soil nutrient in the Anjiapo catchment in the western part of the Loess Plateau in China. Significant differences were found in soil organic matter (SOM), total nitrogen (TN) and nitrate nitrogen (NON) (P < 0.01) between the six land use types. Our study also showed that land use types have different effects on soil nutrient storage, and vegetation restoration may improve soil nutrients and soil quality. While crop plantation can significantly decrease soil fertility, the trend can be reversed by cropland abandonment and afforestation. It is recommended that more C input, alternative cultivation practices, vegetation restoration and education and techniques training of local farmers could be used to improve soil conditions and to advance the sustainable land use and local development in the loess hilly area in the Loess Plateau of China.

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“…Using the stepwise multivariate linear regression analysis (SMLR), many authors have concluded that pedological parameters possess a significant relationship with crop yield (Andrews and Carroll, 2001); (Brubaker et al, 1994); (De Araujo et al, 2009); (Rezaei et al, 2006); (Adams, 1997); (Smith et al, 1993). On the other hand, simple linear regressions are usually unsuitable to describe the effect of soil indicators on the productivity.…”

Section: Introductionmentioning

confidence: 99%

Yield Prediction of some Orchard Trees Based on Soil Characteristics under Rainfed Conditions

2017

Alexandria Science Exchange Journal: An International Quarterly

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Studying the relationship between soil properties and crop yield is one of the most important tasks that should be considered under rainfed conditions. The cropping system in the north western coastal zone is mainly includes of olive and fig grown under rainfed conditions. The intercorrelation among soil properties and their influences on olive and fig yields was investigated. Therefore, multiple regression analysis was employed to generate coefficients for relative contributions of selected soil properties such as soil depth, gravel, soil texture (expressed by sand, silt, and clay), salinity, pH, and calcium carbonate on crop yield. Data of olive and fig yield were collected during 3 consecutive years of 2013, 2014, and 2015 from two different locations, namely wadi Hashem basin (7 sites) and wadi El Heriga basin (9 sites). The collected soil data were interpolated and mapped across the study areas. Statistically, the Pairwise comparisons of crop production demonstrated that there was a significant difference among some of the studied sites in regard to their yield potentiality. To predict the crop yield of the studied plants Eventually and for the current study, it could be concluded that most of the studied soil properties have a great influence on olive and fig yield under the rainfed condition.

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Using Multiple-Variable Indicator Kriging for Evaluating Soil Quality

Cited by 164 publications

References 5 publications

Field Scale Studies on the Spatial Variability of Soil Quality Indicators in Washington State, USA

Field Scale Studies on the Spatial Variability of Soil Quality Indicators in Washington State, USA

Effect of land use on soil nutrients in the loess hilly area of the Loess Plateau, China

Yield Prediction of some Orchard Trees Based on Soil Characteristics under Rainfed Conditions

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