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A minimum data set of soil morphological properties for quantifying soil quality in coastal agroecosystems.

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Title A minimum data set of soil morphological properties for quantifying soil quality in coastal agroecosystems.
Catena
 
Creator Vasu D.
R.P. Sharma
 
Subject Morphological soil quality index,Soil quality indicators,Categorical principal component analysis,Optimal scaling,Coastal soils
 
Description Not Available
Soil quality in coastal agroecosystems changes rapidly owing to coastal dynamics and land-use change. The potential of soil morphological properties as soil quality indicators is mostly unexplored. We present a minimum data set (MDS) of soil morphological properties to quantify the coastal soil quality. We compiled a dataset including 18 soil morphological properties from 468 soil profiles, representing five land-use types (plantation crops, sugarcane, grassland, rice, and cotton + pigeon pea) of the north-western coastal region of India. The categorical variables were transformed into numerical variables using the optimal scaling method, and categorical principal component analysis (CATPCA) was used to identify the MDS. The CATPCA produced five principal components explaining 60% of the variability. The MDS comprises pore abundance, structure size, drainage, pore size, and colour (value) with 32, 22, 21, 14, and 12% contribution to soil quality, respectively. The morphological soil quality index (MSQI) varied from 0.26 to 0.99 for surface soils, and from 0.11 to 0.94 for the subsurface soils. Among the land-use types, the rice-growing soils were low in their morphological quality due to structural degradation. Land-use types significantly influenced the MSQI in both surface and subsurface soils, and hence, we recommend the inclusion of subsurface soils for soil quality evaluation. The strong relationship of MSQI with saturated hydraulic conductivity (R2 = 0.56) validated the suitability of the MDS for assessment of soil quality by the farmers, and non-experts in the coastal regions. Further, the higher variability explained by the soil morphology data indicates that the MDS identified in this study could be effectively used to evaluate soil quality in areas with limited data.
 
Date 2021-07-27T08:23:12Z
2021-07-27T08:23:12Z
2021-1-1
 
Type Journal
 
Identifier Vasu, D., Tiwari, G., Sahoo, S., Dash, B., Jangir, A., Sharma, R.P., Naitam, R., Tiwary, P., Karthikeyan, K., Chandran, P. (2021). A minimum data set of soil morphological properties for quantifying soil quality in coastal agroecosystems. Catena, 198:105042 https://doi.org/10.1016/j.catena.2020.
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0341-8162
http://krishi.icar.gov.in/jspui/handle/123456789/50240
 
Language English
 
Publisher Not Available