Magali Willaume, Hélène Raynal, Jacques-Eric Bergez, Julie Constantin
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However, their long-term effects on soil nitrogen (N) dynamics and mineral N fertilization in cropping systems requires further investigation.</div></div><div><h3>OBJECTIVE</h3><div>Using a simulation approach, we investigated their long-term effects on maize production, N fertilization requirements, N dynamics, GHG emissions and soil carbon storage.</div></div><div><h3>METHODS</h3><div>The integrated modeling framework we developed, <em>STICS-TK-R</em>, which includes decision rule models, the STICS crop model, the MERCI decision tool for cover crop residues and an N-balance model for mineral fertilization, enables comprehensive analysis and comparison of agroecological systems. In the context of projected climate change (2016–2050), we simulated six agroecological scenarios that combined two mineral N fertilization practices (i.e., fixed or balanced) and three fallow-period management practices (i.e., bare soil, legume cover crops or cruciferous cover crops with long growing period duration, from 5 to 7 months) for five diverse soil and climate conditions in southwestern France.</div></div><div><h3>RESULTS AND CONCLUSION</h3><div>The framework predicted significant advancement of sowing, fertilization and harvest dates of the main crop, without decreasing its yields. Nitrogen fertilization requirements varied among scenarios and sites. In particular, a faba bean cover crop decreased N fertilization requirements greatly over time. Analysis of N balance components highlighted the influence of increased soil organic matter and cover crop residues on N mineralization and the importance of adjusting fertilization practices to maintain certain services or offset certain environmental impacts over time (e.g., nitrate leaching, nitrous oxide emissions, GHG emissions). <em>STICS-TK-R</em> was thus able to determine N fertilization rates in different contexts over the long-term.</div></div><div><h3>SIGNIFICANCE</h3><div>We highlight the importance of adapting agricultural strategies and emphasize the need to adjust (dynamically and locally) N fertilization in agroecological systems in the context of climate change to optimize agronomic and environmental performances, especially the GHG balance.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"222 ","pages":"Article 104182"},"PeriodicalIF":6.1000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of nitrogen management and greenhouse gas balance in agroecological cropping systems in a climate change context\",\"authors\":\"Magali Willaume, Hélène Raynal, Jacques-Eric Bergez, Julie Constantin\",\"doi\":\"10.1016/j.agsy.2024.104182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>CONTEXT</h3><div>Agroecological practices, including growing cover crops, are promising practices to adapt to climate change and mitigate greenhouse gas (GHG) emissions. However, their long-term effects on soil nitrogen (N) dynamics and mineral N fertilization in cropping systems requires further investigation.</div></div><div><h3>OBJECTIVE</h3><div>Using a simulation approach, we investigated their long-term effects on maize production, N fertilization requirements, N dynamics, GHG emissions and soil carbon storage.</div></div><div><h3>METHODS</h3><div>The integrated modeling framework we developed, <em>STICS-TK-R</em>, which includes decision rule models, the STICS crop model, the MERCI decision tool for cover crop residues and an N-balance model for mineral fertilization, enables comprehensive analysis and comparison of agroecological systems. In the context of projected climate change (2016–2050), we simulated six agroecological scenarios that combined two mineral N fertilization practices (i.e., fixed or balanced) and three fallow-period management practices (i.e., bare soil, legume cover crops or cruciferous cover crops with long growing period duration, from 5 to 7 months) for five diverse soil and climate conditions in southwestern France.</div></div><div><h3>RESULTS AND CONCLUSION</h3><div>The framework predicted significant advancement of sowing, fertilization and harvest dates of the main crop, without decreasing its yields. Nitrogen fertilization requirements varied among scenarios and sites. In particular, a faba bean cover crop decreased N fertilization requirements greatly over time. Analysis of N balance components highlighted the influence of increased soil organic matter and cover crop residues on N mineralization and the importance of adjusting fertilization practices to maintain certain services or offset certain environmental impacts over time (e.g., nitrate leaching, nitrous oxide emissions, GHG emissions). <em>STICS-TK-R</em> was thus able to determine N fertilization rates in different contexts over the long-term.</div></div><div><h3>SIGNIFICANCE</h3><div>We highlight the importance of adapting agricultural strategies and emphasize the need to adjust (dynamically and locally) N fertilization in agroecological systems in the context of climate change to optimize agronomic and environmental performances, especially the GHG balance.</div></div>\",\"PeriodicalId\":7730,\"journal\":{\"name\":\"Agricultural Systems\",\"volume\":\"222 \",\"pages\":\"Article 104182\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural Systems\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0308521X24003329\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Systems","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308521X24003329","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Optimization of nitrogen management and greenhouse gas balance in agroecological cropping systems in a climate change context
CONTEXT
Agroecological practices, including growing cover crops, are promising practices to adapt to climate change and mitigate greenhouse gas (GHG) emissions. However, their long-term effects on soil nitrogen (N) dynamics and mineral N fertilization in cropping systems requires further investigation.
OBJECTIVE
Using a simulation approach, we investigated their long-term effects on maize production, N fertilization requirements, N dynamics, GHG emissions and soil carbon storage.
METHODS
The integrated modeling framework we developed, STICS-TK-R, which includes decision rule models, the STICS crop model, the MERCI decision tool for cover crop residues and an N-balance model for mineral fertilization, enables comprehensive analysis and comparison of agroecological systems. In the context of projected climate change (2016–2050), we simulated six agroecological scenarios that combined two mineral N fertilization practices (i.e., fixed or balanced) and three fallow-period management practices (i.e., bare soil, legume cover crops or cruciferous cover crops with long growing period duration, from 5 to 7 months) for five diverse soil and climate conditions in southwestern France.
RESULTS AND CONCLUSION
The framework predicted significant advancement of sowing, fertilization and harvest dates of the main crop, without decreasing its yields. Nitrogen fertilization requirements varied among scenarios and sites. In particular, a faba bean cover crop decreased N fertilization requirements greatly over time. Analysis of N balance components highlighted the influence of increased soil organic matter and cover crop residues on N mineralization and the importance of adjusting fertilization practices to maintain certain services or offset certain environmental impacts over time (e.g., nitrate leaching, nitrous oxide emissions, GHG emissions). STICS-TK-R was thus able to determine N fertilization rates in different contexts over the long-term.
SIGNIFICANCE
We highlight the importance of adapting agricultural strategies and emphasize the need to adjust (dynamically and locally) N fertilization in agroecological systems in the context of climate change to optimize agronomic and environmental performances, especially the GHG balance.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.