Model-based design of crop diversification through new field arrangements in spatially heterogeneous landscapes. A review

Agronomy for Sustainable Development, Journal Year: 2022, Volume and Issue: 42(4)

Published: July 19, 2022

Abstract Intensive agriculture in Germany is not only highly productive but has also led to detrimental effects the environment. Crop diversification together with new field arrangements considering soil heterogeneities can be an alternative improve resource use efficiency (RUE), ecosystem services (ESS), and biodiversity. Agroecosystem models are tools that help us understand design diversified arrangements. The main goal of this study was review extent which agroecosystem have been used for crop at landscape scale by model requirements purpose. We found several available simulating spatiotemporal scale. For spatial diversification, simplified modelling approaches consider interactions light, water, nutrients, they offer restricted combinations. temporal include major crops (e.g., cereals, legumes, tuber crops). However, parameterization limited marginal carbon nitrogen (N). At scale, decision-making frameworks commonly cropping systems. Within-field rarely considered or studies. Combining static dynamic agroecosystems useful evaluation trade-offs ESS delivery To enhance modeling capabilities simulate systems arrangements, it will necessary representation interactions, inclusion more species options, legacy effects, biodiversity estimations. Newly arrangement requires higher data resolution, generated via remote sensing sensors. propose implementation a framework combines process-based optimized respective experiments testing combined framework.

Language: Английский

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Plastic film mulching increases crop yields and reduces global warming potential under future climate change

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 349, P. 109963 - 109963

Published: March 11, 2024

Language: 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, Journal Year: 2025, Volume and Issue: 969, P. 178913 - 178913

Published: Feb. 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.

Language: Английский

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Advances in accounting methodology of nitrous oxide emissions from the adipic acid industry

Journal of Environmental Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: March 1, 2024

Language: Английский

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Optimum fertilizer application rate to ensure yield and decrease greenhouse gas emissions in rain-fed agriculture system of the Loess Plateau

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 823, P. 153762 - 153762

Published: Feb. 11, 2022

Language: Английский

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A multi-objective optimization approach to simultaneously halve water consumption, CH4, and N2O emissions while maintaining rice yield

Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 344, P. 109785 - 109785

Published: Nov. 10, 2023

Language: Английский

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Dynamics of soil water and nitrate within the vadose zone simulated by the WHCNS model calibrated based on deep learning

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 292, P. 108653 - 108653

Published: Jan. 2, 2024

Excessive application of water and nitrogen fertilizer during farmland management practices leads to serious groundwater nitrate pollution. A field experiment was conducted the spring maize growth period in Alxa, Inner Mongolia, China. The soil Water Heat Carbon Nitrogen Simulator (WHCNS) model calibrated by ensemble smoother method (ES(DL)) based on experiment. Then dynamics content, percolation flux, concentration leaching flux were simulated with WHCNS under different fertilization treatments within vadose zone. main conclusions are as follows: ES(DL) is feasible for calibration model. RMSE_Maximum a posteriori (RMSE_MAP) content 0.0301 cm3 cm−3 0.0302 validation, respectively. RMSE_MAP 5.49 mg N kg−1 3.86 Both average increase increasing irrigation amount same level depths 1.2 m 1.8 m. However, decreased increased 10 20 study deep zone contributes better understand procedure pollution caused excessive application.

Language: Английский

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‘Pipes & Valves’: Managing crop production and environmental impact by mitigating ammonia, nitrous oxide, and nitrate losses

Field Crops Research, Journal Year: 2024, Volume and Issue: 307, P. 109250 - 109250

Published: Jan. 21, 2024

Canada has targeted a 30% reduction in N2O emissions from fertilizer by 2030 its commitments to reduce greenhouse gas emissions. To help achieve these commitments, 'Pipes & Valves' conceptual visualization of the DNDC model was combined with DeNitrification-DeComposition (DNDC) evaluate suite nutrient management and conservation practices. The objectives were meet targets as well other reactive-N species (N2O, NH3 NO3- leaching) provide systems approach while increasing corn yields. This accomplished by: 1) developing model; 2) evaluating full system 3-years volatilization, emission, inorganic N, crop yield N uptake data; 3) applying identify N-management strategies that mitigate N-loss improve compared simulated measured performance over 3 years for N- practices including pre-plant versus side-dress UAN injection either no inhibitors, urease inhibitor or dual nitrification inhibitor. A Pipe Valves developed used simulate 14 scenarios based on moldboard plow tillage tillage, type (urea vs. urea ammonium nitrate, UAN), (none, inhibitor, both), placement (broadcast injection), timing (at planting split application), rate (recommended 15% reduction). evaluated using field data had excellent yields, cumulative soil temperature water predictions fair standard metrics. Multiple and/or decreased losses 36–96% broadcast urea. treatment side-dressed injected reduced 37-40%. Although several one pathway ≥ 30%, only plus inhibitors under achieved multiple reductions 40%, 93% 62% N2O, reactive-N, respectively grain yields 7%. Combining modelling effective determining how 4R can be stacked worldwide without compromising

Language: Английский

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Effect of mulched drip irrigation on crop biomass and carbon fluxes in maize field

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 303, P. 109016 - 109016

Published: Aug. 24, 2024

The agroecosystem, a critical component of the terrestrial carbon cycle, plays an indispensable role in maintaining balance pools and ensuring global food security. Investigating interplay between crop yield cycle is essential for advancement sustainable agricultural practices. In quest water-efficient solutions, mulched drip irrigation emerges as promising technique to mitigate water scarcity agriculture. arid regions northwest China, where precious resource, understanding impact methods on productivity dynamics crops like spring maize critical. Our study aimed evaluate influence two methods—mulched (DI) border (BI)—on biomass accumulation fluxes by field observation DNDC model simulation comparative analysis. findings based flux data, underscore transformative potential shifting from BI DI. DI was found significantly enhance soil's hydrothermal environment, which crucial fostering optimal conditions growth. This improvement instrumental promoting allocation photosynthetic products aboveground biomass, ultimately leading substantial increase grain yield. results indicated that treatment not only bolstered gross primary (GPP) but also elevated ecosystem respiration (RE) compared treatment. Finally, can net (NEP) fields 6.08 %. Denitrification-Decomposition (DNDC) model, after calibration validation, proved be reliable tool estimating under systems. A thorough analysis simulated data revealed DI's enhancement environment led soil heterotrophic respiration. insight vital it sheds light complex interactions practices microbial processes, are integral cycle. These contribute growing body knowledge provide theoretical foundation strategies at achieving neutrality. By adopting data-driven approaches leveraging advanced models, we pave way more resilient future harmoniously balances environmental stewardship.

Language: 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, Journal Year: 2023, Volume and Issue: 404, P. 136902 - 136902

Published: March 24, 2023

Language: Английский

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