Modeling the evolution of soil structural pore space in agricultural soils following tillage

Chandrasekhar, Parvathy; Kreiselmeier, Janis; Schwen, Andreas; Weninger, Thomas; Jülich, Stefan; Feger, Karl‐Heinz; Schwärzel, Kai

doi:10.1016/j.geoderma.2019.07.017

Cited by 27 publications

(14 citation statements)

References 39 publications

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“…rainfall). The need for inclusion of soil pore dynamics in hydrological models to improve their reliability and accuracy has been stressed in recent times [[1], [2], [3]]. In this context, Or et al [4] proposed to use a partial differential equation (PDE) known as the Fokker-Planck Equation to capture the dynamics of soil pore size distribution (PSD) following tillage with respect to time and pore radius.…”

Section: Methods Detailsmentioning

confidence: 99%

“…Based on these conditions, an analytical solution to the proposed PDE was provided by Leij et al [5,6]. In Chandrasekhar et al [1], the model was applied to different water retention parameter data sets around the world to evaluate its capability in predicting the temporal dynamics of soil pore space for two cases (1) when there is a change in the tillage regime/land-use and (2) in the months following tillage. In the present contribution, we share the Python code used in Chandrasekhar et al [1] to capture the evolution of soil pore space following tillage.…”

Section: Methods Detailsmentioning

confidence: 99%

“…This paper is organized as follows: As a first step, a skeletal framework of the mathematical model is briefly described. For a detailed overview of the model and its application, the reader is directed to Chandrasekhar et al [1]. The required input data is listed.…”

Section: Methods Detailsmentioning

confidence: 99%

“…These parameters may be parameterized according to the Kosugi [7] water retention model. If Van Genuchten parameters [8] are available, they can be converted to the Kosugi parameters which is explained in Chandrasekhar et al [1]. The required input water retention parameters are listed in Table 1.…”

Section: Input Datamentioning

confidence: 99%

“…The first-order moment can also be obtained from other independent models [1]. For instance, the rather popular expression from Thornley [10] is used for the drift term.V()t= ddt〈〉rgoodbreak=a()1badbreak- 〈〉rb〈〉r where 〈〉rgoodbreak= b〈〉r0〈〉r0+()b- 〈〉r0exp()-at …”

Section: Drift Termmentioning

confidence: 99%

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SPorDyn: A Python code for modeling the evolution of soil pore size distribution after tillage

et al. 2019

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Section: Methods Detailsmentioning

confidence: 99%

Section: Methods Detailsmentioning

confidence: 99%

Section: Methods Detailsmentioning

confidence: 99%

Section: Input Datamentioning

confidence: 99%

Section: Drift Termmentioning

confidence: 99%

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SPorDyn: A Python code for modeling the evolution of soil pore size distribution after tillage

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Temporal variation of saturated and near‐saturated soil hydraulic conductivity and water‐conducting macroporosity in a maize‐wheat rotation under conventional and conservation tillage practices

et al. 2022

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Knowledge of temporal variation of soil hydraulic properties (SHPs) is crucial to understand soil physical behaviour under different tillage practices. The objective of this study was to assess the variation of saturated and near‐saturated soil hydraulic conductivity (NSHC) and water‐conducting macroporosity (Ɛ) under long‐term (09 years) tillage regimes viz. zero tillage (ZT), conventional tillage (CT), and minimum tillage (MT) in a rain‐fed maize‐wheat crop rotation (RMWC) in the North‐West Himalayas, India (NWHI). A hood infiltrometer (HI) was used to measure the steady‐state water flux (q) at 0, −10, and −30 mm pressure head (PH) after harvesting of maize and over two wheat cropping seasons for each treatment. The infiltration data were analyzed in terms of unsaturated hydraulic conductivity k(h), field saturated hydraulic conductivity (ks), water‐conducting macroporosity (Ɛ). The results showed that the seasonal effects on ks, k(h), and Ɛ values were significantly different (p ≤0.05) for tilled treatments (CT and MT). In contrast, no significant difference (p ≤0.05) was found for untilled treatment (ZT). Significantly higher (p ≤0.05) ks, k(h), and Ɛ values were observed in ZT than CT and MT, associated with higher SOC and lower ρb values. A multivariate analysis of variance of the ks showed a highly significant difference (p ≤0.01) with both time and tillage treatments. Overall, a significant improvement of hydraulic conductivity characteristics was observed during the wheat‐growing seasons compared with the maize harvest season. The temporal dynamics of SHPs under different tillage regimes indicate that ZT can be a suitable tillage practice for reducing runoff and soil loss in monsoon maize and winter wheat cropping system.

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Restoration of agroecosystems with conservation agriculture for food security to achievesustainabledevelopment goals

et al. 2023

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Currently, agroecosystems sustainability is mainly challenged by unsustainable agricultural practices that lead to land degradation and amplified climate change. About 25% of the World's total land area has deteriorated due to improper agricultural land management, resulting in ~24 billion tonnes of annual soil loss. Globally, soil erosion, mainly caused by high‐frequency tilling, crop residue removal or burning, poor pasture management, and inefficient crop rotations, is responsible for >40% of total land deterioration problems. Conservation agriculture (CA) seeks minimum soil disturbance, permanent soil cover, and crop rotation, which are indispensable for soil fertility restoration, carbon stabilization, increased soil biodiversity, and sustainable food production. In the last decades, the global annual adoption rate of CA was 7 M ha yr−1. CA‐based soil and crop management practices enhanced water productivity, soil organic carbon, crop productivity, and energy use efficiency by 18%–66%, 12%–93%, 3.8%–76.2%, and 8.9%–40.2%, respectively, over conventional practices under diverse agroecosystems in India. Hence, adopting CA can avert/minimize the problem of land degradation and food insecurity by improving crop productivity and decreasing soil erosion, energy use, and carbon emission, besides maintaining soil physicochemical and biological health. Moreover, CA can be a sustainable way to ensure global food demand, achieve sustainable development goals (SDGs), and restore soil health, and multiple agroecosystem services. This study aims to provide in‐depth insights into the role of CA in restoring agroecosystem services, attaining SDGs, and ensuring global food security.

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Modeling the evolution of soil structural pore space in agricultural soils following tillage

Cited by 27 publications

References 39 publications

SPorDyn: A Python code for modeling the evolution of soil pore size distribution after tillage

SPorDyn: A Python code for modeling the evolution of soil pore size distribution after tillage

Temporal variation of saturated and near‐saturated soil hydraulic conductivity and water‐conducting macroporosity in a maize‐wheat rotation under conventional and conservation tillage practices

Restoration of agroecosystems with conservation agriculture for food security to achievesustainabledevelopment goals

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