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Prediction of saturated hydraulic conductivity from soil physical properties under different forest vegetation using multivariate analysis techniques

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Title Prediction of saturated hydraulic conductivity from soil physical properties under different forest vegetation using multivariate analysis techniques
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Creator Patra, S.K., Mahata, N., Ray, R.
 
Subject saturated hydraulic conductivity, forest soil, step-wise multiple regression, principal component analysis
 
Description Not Available
Saturated hydraulic conductivity of five types of forest soils at two depths was assessed from the physical properties using
multivariate analysis techniques. All the soil variables had very strong correlations with each other. Multiple regression models
linking original data set demonstrated that clay and bulk density predicted 81.7% of total variation in saturated hydraulic
conductivity. The principal component analysis (PCA) involving several soil parameters explained 92% of the variance. The
regressive model for saturated hydraulic conductivity using minimum data set (MDS) from PCA such as sand and bulk density
accounted for 81.2% of the variability. It was almost competitive with multiple regression equations in assessing the saturated
hydraulic conductivity, but less predictive than PCA because of the involvement of several contributory soil parameters. All these
statistical approaches may thus provide an alternative way of measuring the saturated hydraulic conductivity of forest soils
indirectly from the measured values of soil physical properties.
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Date 2019-11-27T06:20:48Z
2019-11-27T06:20:48Z
2018-11-01
 
Type Article
 
Identifier Patra, S.K., Mahata, N., Ray, R., 2018. Prediction of saturated hydraulic conductivity from soil physical properties under different forest vegetation using multivariate analysis techniques.International Journal of Multidisciplinary Research and Development 5, 48-53.
Online ISSN: 2349-4182, Print ISSN: 2349-5979
http://krishi.icar.gov.in/jspui/handle/123456789/25553
 
Language English
 
Relation Not Available;
 
Publisher International Journal of Multidisciplinary Research and Development