Soil carbon sequestration potential in a Vertisol in central India- results from a 43-year long-term experiment and APSIM modeling

Mohanty, M.; Sinha, Nishant K.; Somasundaram, J.; McDermid, Sonali; Patra, A. K.; Singh, Muneshwar; Dwivedi, Anil Kumar; Reddy, K. Sammi; Rao, Cherukumalli Srinivasa; Prabhakar, M.; Hati, K. M.; Jha, Pramod; Singh, Rakesh Kumar; Chaudhary, R. S.; Kumar, Soora Naresh; Tripathi, P.; Dalal, Ram C.; Gaydon, Donald S.; Chaudhari, S.K.

doi:10.1016/j.agsy.2020.102906

Cited by 39 publications

(20 citation statements)

References 57 publications

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“…Though the decomposition rate was high in the study region, the constant high supply of input C (90% crop residues) has helped to saturate the clay sites. Similar findings were also reported by Hati, Swarup, Dwivedi, Misra, & Bandyopadhyay (2007) and Mohanty et al (2020) in the same soil and agro-climatic region. In addition to the high soil organic carbon produced by the soybean and wheat crop residues, herbicide-destroyed weeds also added around 2.0 t ha −1 of dry biomass, which eventually converted into soil organic carbon.…”

Section: Available Soil Nutrients Ph and Ecsupporting

confidence: 90%

“…T A B L E 3 Crop residues produced over 5 years and its retention in the zero-tillage black soil under soybean-wheat system (Chen, Xu, & Mathers, 2004;Ghimire et al, 2017), and a key factor that protects soil from degradation (Ojeda et al, 2015;Six, Bossuyt, Degryze, & Denef, 2004). Soil organic carbon in terrestrial ecosystems is primarily controlled by complex interactions between soil and agricultural management practices (Mohanty et al, 2020). Crop residues were the chief contributor to the C fractions and its sequestration in the soil (Kukal & Bawa, 2014;Lal, 2004).…”

Section: Available Soil Nutrients Ph and Ecmentioning

confidence: 99%

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Sustaining the properties of black soil in Central India through crop residue management in a conservation‐agriculture‐based soybean–wheat system

et al. 2021

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Soybean–wheat cropping system is the most commonly used in the black soil of India which produces enormous amounts of nutrient‐rich residues. However, black soil has some production limitations, such as rapid drying, high bulk density, low nutrients, and poor microbial populations, making it vulnerable to degradation. Optimal retention of soybean and wheat residues in black soil under the zero‐tillage (no‐till) system can improve soil properties and help protect the land from degradation. Thus, the main objective of this study was to test the effect of different levels of soybean and wheat residue retention on the physical, chemical, and biological properties of black soil. Therefore, an experiment was conducted in the zero‐tillagesoybean–wheat system at the Indian Institute of Soil Science, Bhopal, India from 2014 to 2018. In this study, the effect of four levels of soybean and wheat residue retention (no residue, 30, 60, and 90%) on soil properties was evaluated. Results revealed that soil organic carbon (C) significantly increased from 0.67 to 1.0% in 5 years through 90% residue retention. Retaining 90% (7.0 t) of soybean residue added 2.9 t C, 197.3 kg nitrogen (N), 32.4 kg phosphorus (P), and 89.7 kg potassium (K) in 5 years, while 6.2 t C, 85.7 kg N, 15.3 kg P, and 232.2 kg K were added through 90% (13.8 t) wheat residue during the same period. Different pools of soil C (oxidizable, labile, and particulate organic matter (OM)‐carbon), soil OM, soil moisture, soil porosity, available nutrients, and bacterial, fungal, and actinomycetes count was significantly enhanced due to retention of 90% residue over 60 and 30%. It was observed that retention of 90% soybean and wheat residues (7.0 and 13.8 t ha−1, respectively) significantly improved the physical, chemical, and biological properties of black soil in 5 years, therefore protected the soil from degradation.

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Section: Available Soil Nutrients Ph and Ecsupporting

confidence: 90%

Section: Available Soil Nutrients Ph and Ecmentioning

confidence: 99%

Sustaining the properties of black soil in Central India through crop residue management in a conservation‐agriculture‐based soybean–wheat system

et al. 2021

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“…One of the most scientific, useful, and convenient way of analyzing soil carbon and its nature is modelling. There are several models that are extensively and successfully used for modelling SOC in a variety of land uses namely: CENTURY, RothC, DNDC (Smith et al, 1997), and APSIM (Mohanty et al, 2020). However, most of these models depend on large amount of data and proper parameterization under particular climatic regions or management practices, hindering global application (Brilli et al, 2017;Falloon & Smith, 2010).…”

Section: Introductionmentioning

confidence: 99%

Changes in carbon stocks and its economic valuation under a changing land use pattern—A multitemporal study in Konar catchment, India

Rajbanshi

Das

2021

Land Degrad Dev

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Land use and land cover (LULC) changes influence the global terrestrial carbon pools and carbon sequestration processes to great extents. Therefore, the understanding of the soil carbon dynamics under the dire pressure of LULC changes is highly necessary. The subhumid tropical catchment of Konar, India, has endured immense LULC transitions over the years and this is likely to promote altered carbon exchanges with atmosphere and, thus, has a significant impact on climate regulation and ecosystem services. Our study analyzed the change in total carbon storage in the past (1992-2004 and 2004-2016) and predicted the future (2030) with respect to the changing land use scenario in the catchment. In addition, the monetary valuation of the carbon loss and/or gain in that area has been performed considering its economic value in the society. The Markov chain model was used in this work in order to predict the LULC map for the future period, and integrated valuation of ecosystem services and trade-offs (InVEST) model was applied to measure the changes in total carbon stocks. The results show that 129,273.75 Mg carbon has already been lost from 2004 to 2016 that is worth of $US 20.06 million ($US 212.69 ha À1 ), and another 66,050.25 Mg of carbon which is worth of $US 9.73 million ($US 103.21 ha À1 ) is expected to be lost in future by 2030. A thorough understanding of the carbon scenario of the study area may help to promote feasible mitigation actions to conserve the carbon pools.

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“…In this study we use APSIM, one of the worldwide leading software frameworks for agricultural systems modeling and simulation. The APSIM platform has been tested in tropical and sub-tropical semi-arid environments, showing a good ability to simulate longterm dynamics of cropping systems, hence making it suitable to gain a better understanding of the sustainability of cropland management [21,22]. APSIM growth models of millet, sorghum and maize have shown a strong correlation to observations in West African savanna agro-ecologies [23][24][25][26], while growth models of groundnut and rainfed rice have shown strong fit to observations in other semi-arid regions of the world [27,28].…”

Section: Introductionmentioning

confidence: 99%

Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies

Martínez

Fürst

2021

Land

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West African land use systems have been experiencing one of the fastest transformations in the world over recent decades. The Sudanian savanna is an interesting example, as it hosts the cultivation of some crops typical of the Guinean savanna as well as some of the Sahel. Therefore, this region is likely to experience further changes in its crop portfolio over the next decades due to crop migration processes responding to environmental change. Simulation approaches can guide the development of agricultural production strategies that contribute to sustainably optimize both food and fuel production. This study used crop models already available in the APSIM platform to simulate plant production and the soil water and nutrient cycles of plots cultivated with groundnut, millet, sorghum, maize, and rice on three (two upland and one lowland) soil fertility classes and subjected to five levels of management (conventional tillage without residue incorporated to the soil and nor fertilizer application; conventional tillage without residue incorporated to the soil and 5 kg N ha−1; conventional tillage with residue incorporated to the soil 20 kg N ha−1, and no-till herbicide treated with 50 and 100 kg N ha−1). Simulation outputs were contrasted against data reported in the literature and converted into nutritional, fuel and feed yields based on the qualities and uses of their different plant comparments. Groundnut yields outperformed all of the cereals across most growing conditions, nutritional and feed indicators. Maize and rice provided the highest caloric yields, with the least fertile growing conditions. Sorghum provided average to high caloric and iron yields across all of the treatments. Millet provided the highest iron yields and high fuel yields across most treatments. Some simulated treatments could not be compared against literature review data because of their absence in actual cropping systems and the lack of experimental data. Plant production was simulated with higher accuracy than the other components of the simulation. In particular, there is a need to better parameterize and validate the rice, groundnut and millet models under Sudanian savanna conditions in order to perform more accurate comparative assessments among species.

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Soil carbon sequestration potential in a Vertisol in central India- results from a 43-year long-term experiment and APSIM modeling

Cited by 39 publications

References 57 publications

Sustaining the properties of black soil in Central India through crop residue management in a conservation‐agriculture‐based soybean–wheat system

Sustaining the properties of black soil in Central India through crop residue management in a conservation‐agriculture‐based soybean–wheat system

Changes in carbon stocks and its economic valuation under a changing land use pattern—A multitemporal study in Konar catchment, India

Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies

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