Carbon farming: Are soil carbon certificates a suitable tool for climate change mitigation?

Journal of Environmental Management, Год журнала: 2023, Номер 330, С. 117142 - 117142

Опубликована: Янв. 4, 2023

Increasing soil organic carbon (SOC) stocks in agricultural soils removes dioxide from the atmosphere and contributes towards achieving neutrality. For farmers, higher SOC levels have multiple benefits, including increased fertility resilience against drought-related yield losses. However, increasing requires management changes that are associated with costs. Private certificates could compensate for these In schemes, farmers register their fields commercial certificate providers who certify increases. Certificates then sold as voluntary emission offsets on market. this paper, we assess suitability of an instrument climate change mitigation. From a soils' perspective, address processes enrichment, potentials limits, options cost-effective measurement monitoring. farmers' likely to increase SOC, discuss synergies trade-offs economic, environmental social targets. governance requirements guarantee additionality permanence while preventing leakage effects. Furthermore, questions legitimacy accountability. While is cornerstone more sustainable cropping systems, private fall short expectations mitigation sequestration cannot be guaranteed. Governance challenges include lack long-term monitoring, problems ensure additionality, safeguard effects, accountability if stored re-emitted. We conclude soil-based unlikely deliver offset attributed them benefit uncertain. Additional research needed develop standards metrics better understand impact term, non-permanent removals peaks atmospheric greenhouse gas concentrations probability exceeding climatic tipping points.

Язык: Английский

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Integrating digital technologies in agriculture for climate change adaptation and mitigation: State of the art and future perspectives

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 226, С. 109412 - 109412

Опубликована: Сен. 7, 2024

Язык: Английский

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Long-term soil organic carbon and crop yield feedbacks differ between 16 soil-crop models in sub-Saharan Africa

European Journal of Agronomy, Год журнала: 2024, Номер 155, С. 127109 - 127109

Опубликована: Фев. 8, 2024

Язык: Английский

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A new framework for simulating C decomposition and emissions from land applied biosolids and manures using the denitrification and decomposition model

The Science of The Total Environment, Год журнала: 2025, Номер 969, С. 178913 - 178913

Опубликована: Фев. 25, 2025

There is a need for modeling tools capable of estimating CO2 emissions from land application biosolids and manure. The Denitrification Decomposition model (DNDC) was improved this capacity by adding separate manure C pool to disaggregate decomposition the soil organic matter pools. effect temperature on also improved. Data collected two climatically distinct sites in Montreal (Quebec) Truro (Nova Scotia) with corn were used test DNDC simulating yield, moisture, fluxes amended (mesophilic anaerobically digested, composted, or alkaline-stabilized). A third site Harrow (Ontario) verify solid cattle applied corn-soybean field. Crop yields well simulated (rRMSE 4.1-30.1 %) all sites. (0.78 ≤ d 0.93) outperformed default version (0.61 0.9) across Similarly, effectively both (d ≥ 0.88) moisture (0.53 0.91). addition an independent biosolids/manure resulted more accurate simulation seasonal alkalized composted biosolids. modified function alleviated over-prediction shortly after biosolid timing during growing season. enhanced will help simulate best management practices integrated crop-livestock-manure systems, reducing reliance nitrogen fertilizer.

Язык: Английский

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Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia

Agricultural Systems, Год журнала: 2022, Номер 203, С. 103527 - 103527

Опубликована: Окт. 13, 2022

Язык: Английский

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Simulating long-term soil carbon storage, greenhouse gas balance, and crop yields in semi-arid cropping systems using DayCent model

Nutrient Cycling in Agroecosystems, Год журнала: 2024, Номер 128(1), С. 99 - 114

Опубликована: Янв. 17, 2024

Язык: Английский

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Impacts of land use conversions on soil organic carbon in a warming-induced agricultural frontier in Northern Ontario, Canada under historical and future climate

Journal of Cleaner Production, Год журнала: 2023, Номер 404, С. 136902 - 136902

Опубликована: Март 24, 2023

Язык: Английский

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Harmonizing manure and mineral fertilizers can mitigate the impact of climate change on crop yields

Agriculture Ecosystems & Environment, Год журнала: 2023, Номер 352, С. 108526 - 108526

Опубликована: Апрель 19, 2023

Язык: Английский

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CCUS in Agriculture: Accessing Emission Reduction of Greenhouse Gases by an Innovative Method of Converting Exhaust Gases From Farm Machinery Into Bio-AgtiveTM Carbon Water Applied on Farmland to Increase Photosynthesis for Soil Carbon Sequestration

SSRN Electronic Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

In the agriculture sector, crop production and on-farm fuel use are two main sources of greenhouse gas emissions (GHGs) apart from enteric fermentation. The application conventional synthetic fertilizer for can help to increase yields, but also results in nitrous oxide emissions, polluting waterways, deterioration soil health including damages structure, changes pH, as well decreases carbon content microbial diversity. Most farm machinery is powered by diesel which emits dioxide other air pollutants. Currently, a novel method Bio-AgtiveTM technology approach aggregates these different processes converting exhaust gases engines into carbon-rich product applying this on farmland replace fertilizer. pyrolysis any source (biofuel, biodiesel, diesel, natural gas) solubilized acid solution, make C-infused mineral solution called Carbon Water (BCW). This unique vaporized direct pasture environments using seeder fans or additional manifolds mounted sprayer booms /or cutter bars irrigators. To evaluate effectiveness GHGs reductions, field experiments were designed measure N2O flux forage site, irrigated barley oat fields Alberta, Canada. Each site contains three plots treated with fertilizer, BCW, without Direct emission measurements conducted chamber combined portable fast response Fourier Transform Infrared (FTIR) analyzer. Due time demand conducting highly intensive sampling no calibrated-model available new type we propose combining measurement modeling techniques. Process-based model used gap-filling tool estimate concentrations during missing days between measurements.

Язык: Английский

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Comprehensive evaluation of the DSSAT‐CSM‐CERES‐Wheat for simulating winter rye against multi‐environment data in Germany

Agronomy Journal, Год журнала: 2024, Номер 116(4), С. 1844 - 1868

Опубликована: Май 27, 2024

Abstract Crop models are valuable tools for simulating and assessing genotype‐by‐environment interactions. In most studies, these parameterized based on crop data from a few sites years, which often limits their applicability to broader geographic context. Therefore, we utilize countrywide multi‐environment variety trial in this study implement genotype‐specific model parameterization winter rye ( Secale cereale L.) Germany. We use the Environment REsource Synthesis (CERES) originally used wheat available decision support system agrotechnology transfer (DSSAT) framework adapt evaluate it rye. Calibration evaluation involved comprehensive agronomic datasets cultivar Palazzo, encompassing 194 site‐years of experiments covering various cereal production regions The followed structured approach, phenology, growth, yield‐specific coefficients. CSM‐CERES‐Rye (where CSM is cropping model) demonstrated reasonable accuracy critical parameters, including aboveground biomass, leaf area index, tiller, grain number, unit seed weight, yield. diverse model‐based assessments cultivation, evaluating management, analyzing rotations, rye's suitability across varied environments, making sustainable agriculture decision‐making.

Язык: Английский

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