A systems model describing the impact of organic resource use on farming households in low to middle income countries

Smith, Jo; Nayak, Dali Rani; Datta, Ashim; Narkhede, W.N.; Albanito, Fabrizio; Balana, Bedru; Bandyopadhyay, Sanjoy; Black, H. I. J.; Boke, Shiferaw; Brand, Alison M.; Byg, Anja; Dinato, Mengistu; Habte, Mulugeta; Hallett, Paul D.; Lemma, Thomas; Mekuria, Wolde; Moges, Awdenegest; Muluneh, Alemayehu; Novo, Paula; Rivington, Mike; Tefera, Tewodros; Vanni, Eguolo May; Yakob, Getahun; Phimister, Euan

doi:10.1016/j.agsy.2020.102895

Cited by 4 publications

(2 citation statements)

References 60 publications

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“…Thus, the combination of these models and functions in a dedicated tool could allow the multicriteria assessment of OW recycling in agriculture that individually these models and functions cannot realize. For example, the ORATOR model (Smith et al, 2020) combined the soil‐carbon model Roth‐C with different modules simulating nitrogen, energy or water fluxes to describe the impacts of organic resource use on farming households. This model is, however, not dedicated to the assessment of OW application at the field scale, but rather at the farm scale.…”

Section: Introductionmentioning

confidence: 99%

Predicting the short‐ and long‐term effects of recycling organic wastes in cropping systems with the PROLEG tool

Levavasseur

Houot

2022

Soil Use and Management

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Recycling organic wastes (OWs) in agriculture may increase soil organic carbon (SOC), improve soil chemical, physical and biological properties and make mineral fertilizer savings possible. Some drawbacks are related, for example, to N losses, soil contamination or greenhouse gas (GHG) emissions, and may counterbalance the interest in OW recycling. Some of these effects are only noticeable after repeated applications over several years and depend on OW type, on their insertion in cropping systems (e.g. rate, period) and on pedoclimatic conditions. The optimization of OW recycling should promote its positive effects and limit its negative effects. Various simulation tools can predict some OW effects and help with this optimization. However, despite many existing tools, dedicated tools with a multicriteria approach to OW effects and the ability to consider various OWs, soils, climates and cropping systems are still missing. We developed the PROLEG tool to predict the short‐ and long‐term multiple effects of OW application in agriculture at the field scale. The tool combined the soil‐carbon model AMG to predict SOC changes, the soil‐crop model STICS to predict N supply and N losses, some pedotransfer functions to predict the evolution of some soil properties related to SOC and simple balance equations to predict mineral fertilizer needs, GHG balance, soil contamination with trace metals and economic results. The tool also embedded many parameter tables, especially related to the characteristics of diverse OWs. The tool required easily accessible soil properties and a description of the cropping systems in a simple spreadsheet. It automatically computed mean and detailed output variables in tables and figures. We illustrated the use of the tool with a simple case study. The tool has already been used with farmers to design new cropping systems and to support public policy related to anaerobic digestion.

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Section: Introductionmentioning

confidence: 99%

Predicting the short‐ and long‐term effects of recycling organic wastes in cropping systems with the PROLEG tool

Levavasseur

Houot

2022

Soil Use and Management

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“…Given the proportion of crops, yields and harvest indices typical in India, this would increase C inputs to the soil, on average, by 1.2 t/ha/yr (Smith et al, 2020a). Simulations for the main agroecological zone / soil type combinations of India provided by the C sub-model of ORATOR (Smith et al, 2020b) suggest that this could increase SOC in the top 30 cm by 0.15 to 0.32 t/ha/yr over 10 years, with C sequestration at steady state of 2.7 to 13.7 t/ha/yr (Table 193). Live mulching mainly involves intercropping with legumes and monocots (such as rice and wheat), combinations with trees (agroforestry), and propagation of a N fixing water fern (Azolla pinnata -Photo 62).…”

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Recarbonizing global soils: A technical manual of recommended sustainable soil management

Rietra

Lesschen

Porre

2021

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Cover cropping (CC) can be applied worldwide, but there is not a cover crop that fits every farming situation and potential benefits vary with climate, soil type and plant species. In detail, CCs can better fit in humid and subhumid regions than in semiarid regions where precipitation is limited (Unger and Vigil, 1998). The possible competition of CCs for available soil water in semiarid regions can limit the adoption of the practice (Unger and Vigil, 1998;Nielsen et al., 2015). A different approach to agricultural management is required for arable and woody crops. Impact on soil organic carbon stocksThe C storage potential of CCs is quite variable at regional level and with land use, ranging from 0.27 to 1.03 tC/ha/yr in the examined meta-analyses (Table 1). A higher potential was found in woody crops in warm temperate dry climates (about 1.00 tC/ha/yr), and lower values in arable crops most for temperate and tropical climates (0.32-0.56 tC/ha/yr). C storage potential in arable systems was 0.71, 0.51 and 0.46 tC/ha/yr in tropical, temperate and arid climates respectively (Jian et al., 2020). Data from a literature review (Blanco-Canqui et al.

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Optimizing tillage practice based on water supply during the growing season in wheat and maize production in northern China

Wu,

Ma,

Shi

et al. 2024

Agricultural Water Management

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A systems model describing the impact of organic resource use on farming households in low to middle income countries

Cited by 4 publications

References 60 publications

Predicting the short‐ and long‐term effects of recycling organic wastes in cropping systems with the PROLEG tool

Predicting the short‐ and long‐term effects of recycling organic wastes in cropping systems with the PROLEG tool

Recarbonizing global soils: A technical manual of recommended sustainable soil management

Optimizing tillage practice based on water supply during the growing season in wheat and maize production in northern China

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