Dynamics of organic carbon in deep soils under rice and non-rice cropping systems

Deb, Shovik; Chakraborty, Somsubhra; Weindorf, David C.; Murmu, Arjun; Banik, Pabitra; Debnath, Manoj Kanti; Choudhury, Ashok

doi:10.1016/j.geodrs.2016.11.004

Cited by 10 publications

(8 citation statements)

References 38 publications

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“…On the contrary, recalcitrant C as a % of TOC got increased in the subsoil layers. It indicated a higher residence time of C in subsoil, as found in earlier researches also (Deb et al, 2016a) [9] . Table 1 indicated the details about the impact of soil depth and crop ecology onto soil C pools.…”

Section: Resultssupporting

confidence: 82%

Quantitative assessment of water soluble fractions of organic carbon in deep soils under rice and non-rice ecology

Kumar¹,

Majhi²

2020

Int. J. Chem. Stud.

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Soil is the largest terrestrial sink of Carbon (C). Carbon sequestration in soil is important for soil quality as well as to mitigate CO2 loading in atmosphere. Study on C of surface soil layer is going on for long time. Only in the recent past, scientists have noticed the importance of subsoil as a store house of stable C. On the contrary, study of C dynamics in tropical rice soil is important in countries like India where rice is the predominant crop and soil C sequestration is at risk due to high temperature. In this context, this study tried to understand the dynamics of soil C in deep soil under rice and non-rice ecology. Three distinct long term experimental sites were selected for soil sampling from three eastern states of India. Results indicated high total C and total organic C in surface soil in comparison to subsoil. On the other hand, rice soils had higher C than non-rice soil. The soil C was further divided into labile and recalcitrant pools using water extraction. As per water solubility, water soluble (room temperature) and hot water

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Section: Resultssupporting

confidence: 82%

Quantitative assessment of water soluble fractions of organic carbon in deep soils under rice and non-rice ecology

Kumar¹,

Majhi²

2020

Int. J. Chem. Stud.

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“…The decreased OC concentrations in subsurface layers might be due to reduction in input of surface litter. Decreasing input from surface litter and decreasing root density with increasing depth contributed to the lower OC in both mid and sub-surface compared with surface soil (Schenk, 2008;Deb et al, 2016). There was significant negative correlation between the CEC (r= -0.55, p<0.05) and BD (r= -0.53, p<0.05) of soils under crop cultivation with hydraulic conductivity (Table 5).…”

Section: Physico-chemical Properties Of Cultivated Soilsmentioning

confidence: 96%

“…Rice adopted soil had the higher CEC compared to other. This was possibly due to the fact that higher clay and organic matter contained different functional groups like carboxyl, phenolic and enolic contributing to the exchange capacity of the soils (Deb et al, 2016). Depth increment gradually increased the soil pH and decreased OC content and CEC in the soils irrespective of cultivated soils (Table 2) (Datta et al, 2015;Deb et al, 2016).…”

Section: Physico-chemical Properties Of Cultivated Soilsmentioning

confidence: 99%

“…This was possibly due to the fact that higher clay and organic matter contained different functional groups like carboxyl, phenolic and enolic contributing to the exchange capacity of the soils (Deb et al, 2016). Depth increment gradually increased the soil pH and decreased OC content and CEC in the soils irrespective of cultivated soils (Table 2) (Datta et al, 2015;Deb et al, 2016). Physical properties of soils under forest trees: Relative proportion of sand, silt and clay ranged from 12.5-17.1, 32.8-38.0 and 47.7-50.8% with the mean values of 14.4, 35.5 and 49.4%, respectively in soils under forest trees categorized as silty clay (Table 3).…”

Section: Physico-chemical Properties Of Cultivated Soilsmentioning

confidence: 99%

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Evaluation of saturated hydraulic conductivity from soil properties in an Inceptisol using different land cover and depths

Kisku

Datta

Basak

et al. 2017

JANS

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Three soil profiles from Regional Research Station of Bidhan Chandra Krishi Viswavidyalaya, Gayeshpur situated in New Alluvial zone of Nadia district, West Bengal were studied to assess the predictability of the hydraulic conductivity of the soil as influenced by different physical and chemical and properties of cultivated and forest land. The various statistical procedures were employed on the measured laboratory based data for comprehensive agreement of dependent hydraulic conductivity of soils as a model function of independent soil variables that is likely to be useful for different land cover systems. Soils are neutral in reaction, silty clay to silty clay loam in nature. Forest soil contained greater organic carbon (OC)(5.9 ± 0.16 g kg ). Jhau plantation recorded the highest value (6.8 g kg -1) of OC due to soil texture and cation exchange capacity (CEC). Soil hydraulic conductivity was greater in soil for cabbage and Sagun tree among the cultivated and forest soil studied with values 2.80 and 1.10 cmh -1. Correlation study showed a positive and negative relation with hydraulic conductivity for sand (r= 0.68; P > 0.05) and clay (r= -0.71; P > 0.05) respectively. Further, principal component analysis concluded that addition of bulk density with clay and sand can predict the hydraulic conductivity for different land uses.

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“…After removing the visible plant roots, clods were broken and the soils were passed through 5.0 mm and 2.0 mm sieves. For each soil, a subsample of <2.0 mm size was used for Physico-chemical characterization [ 29 ]. Soil pH was measured by a digital pH meter (Systronics, Model 4381).…”

Section: Methodsmentioning

confidence: 99%

Soil quality under different land uses in eastern India: Evaluation by using soil indicators and quality index

Deb

et al. 2022

PLoS ONE

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Indian soils are inherently poor in quality due to the warm climate and erosion. Conversion of land uses like forests to croplands and faulty management practices in croplands further cause soil degradation. This study aimed to understand the extent of these impacts in a small representative part of eastern India, covering Himalayan terai and nearing alluvial plains. Soils were collected from (i) forests, (ii) croplands (under agricultural practices for more than 50–60 years) and (iii) converted lands (converted from forests to croplands or tea gardens over the past 15–20 years). Different soil quality indicators were assessed and soil quality index (SQI) was generated to integrate, scale and allot a single value per soil. Results indicated that continuous organic matter deposition and no disturbances consequence the highest presence of soil carbon pools, greater aggregation and maximum microbial dynamics in forest soils whereas high application of straight fertilizers caused the highest available nitrogen and phosphorus in cropland soils. The SQI scorebook indicated the best soil quality under forests (x¯ 0.532), followed by soils of converted land (x¯ 0.432) and cropland (x¯ 0.301). Comparison of the SQI spatial distribution with land use and land cover confirmed the outcome. Possibly practices like excessive tillage, high cropping intensity, no legume in crop rotations, cultivation of heavy feeder crops caused degraded soil quality in croplands. This study presented an example of soil quality degradation in India due to land use change and faulty management practices. Such soil degradation on a larger scale may affect future food security.

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Dynamics of organic carbon in deep soils under rice and non-rice cropping systems

Cited by 10 publications

References 38 publications

Quantitative assessment of water soluble fractions of organic carbon in deep soils under rice and non-rice ecology

Quantitative assessment of water soluble fractions of organic carbon in deep soils under rice and non-rice ecology

Evaluation of saturated hydraulic conductivity from soil properties in an Inceptisol using different land cover and depths

Soil quality under different land uses in eastern India: Evaluation by using soil indicators and quality index

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