Yanshu Yin , Yingnan Zhang , Shu Wang , Ke Xu , Yang Zhang , Thomas Dogot , Changbin Yin
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Moreover, the interplay among different elements within farming systems lacks comprehensive characterization.</p></div><div><h3>OBJECTIVE</h3><p>Typically, the three predominant farming systems comprise conventional farmland—smallholder farming mode, high-standard farmland—intensive farming mode, and sustainable farmland—efficiency-driven farming mode. In this study, the system boundary of farmland construction is identified, elucidating how various interrelated forms of farmland infrastructure development and cropping management practices affect the environmental and economic efficiency.</p></div><div><h3>METHODS</h3><p>The integrated benefits of the farming systems were evaluated by investigating life cycle characteristics, life cycle cost, cost-benefit analysis and Net Ecosystem Economic Benefit (NEEB) under wheat—maize cropping. Furthermore, simulation was conducted to explore the development potential of the farming system with the greatest integration benefits and regional contribution magnitude.</p></div><div><h3>RESULTS AND CONCLUSIONS</h3><p>The results demonstrate that sustainable farmland—intelligent farming mode not only reduces resource inputs but also enhances productivity. Moreover, it positively contributes to regulating nitrogen losses, nitrogen and carbon footprint and greenhouse gas (GHG) emission. Furthermore, this mode represents an optimal economic approach, leading to a total decrease in CO<sub>2</sub> emissions of 9.01E+07 t, an increase in net ecosystem economic benefits of 101 billion Chinese Yuan, and a rise in grain yields of 1278 t in the North Plain of China.</p></div><div><h3>SIGNIFICANCE</h3><p>This study emphasizes the significance of enhancing precise cropping management practices and advanced farmland infrastructure to promote development of efficiency-driven farming systems. Furthermore, strategies for improving various farming system should be tailored to their unique characteristics and adaptability.</p></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"220 ","pages":"Article 104049"},"PeriodicalIF":6.1000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrating production, ecology and livelihood confers an efficiency-driven farming system based on the sustainable farmland framework\",\"authors\":\"Yanshu Yin , Yingnan Zhang , Shu Wang , Ke Xu , Yang Zhang , Thomas Dogot , Changbin Yin\",\"doi\":\"10.1016/j.agsy.2024.104049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>CONTEXT</h3><p>Ensuring reduced carbon emissions and sustainable development in agricultural production are pivotal in addressing the multifaceted demands within farming systems, including safeguarding food security, advancing eco-friendly agricultural practices, and enhancing farmers' livelihoods. While an efficiency-driven farming system under the sustainable farmland has been recently introduced in China, integrating production, ecology, and livelihood aspects, its effectiveness remains unexplored in comparison to alternative farming systems. Moreover, the interplay among different elements within farming systems lacks comprehensive characterization.</p></div><div><h3>OBJECTIVE</h3><p>Typically, the three predominant farming systems comprise conventional farmland—smallholder farming mode, high-standard farmland—intensive farming mode, and sustainable farmland—efficiency-driven farming mode. In this study, the system boundary of farmland construction is identified, elucidating how various interrelated forms of farmland infrastructure development and cropping management practices affect the environmental and economic efficiency.</p></div><div><h3>METHODS</h3><p>The integrated benefits of the farming systems were evaluated by investigating life cycle characteristics, life cycle cost, cost-benefit analysis and Net Ecosystem Economic Benefit (NEEB) under wheat—maize cropping. Furthermore, simulation was conducted to explore the development potential of the farming system with the greatest integration benefits and regional contribution magnitude.</p></div><div><h3>RESULTS AND CONCLUSIONS</h3><p>The results demonstrate that sustainable farmland—intelligent farming mode not only reduces resource inputs but also enhances productivity. Moreover, it positively contributes to regulating nitrogen losses, nitrogen and carbon footprint and greenhouse gas (GHG) emission. Furthermore, this mode represents an optimal economic approach, leading to a total decrease in CO<sub>2</sub> emissions of 9.01E+07 t, an increase in net ecosystem economic benefits of 101 billion Chinese Yuan, and a rise in grain yields of 1278 t in the North Plain of China.</p></div><div><h3>SIGNIFICANCE</h3><p>This study emphasizes the significance of enhancing precise cropping management practices and advanced farmland infrastructure to promote development of efficiency-driven farming systems. 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Integrating production, ecology and livelihood confers an efficiency-driven farming system based on the sustainable farmland framework
CONTEXT
Ensuring reduced carbon emissions and sustainable development in agricultural production are pivotal in addressing the multifaceted demands within farming systems, including safeguarding food security, advancing eco-friendly agricultural practices, and enhancing farmers' livelihoods. While an efficiency-driven farming system under the sustainable farmland has been recently introduced in China, integrating production, ecology, and livelihood aspects, its effectiveness remains unexplored in comparison to alternative farming systems. Moreover, the interplay among different elements within farming systems lacks comprehensive characterization.
OBJECTIVE
Typically, the three predominant farming systems comprise conventional farmland—smallholder farming mode, high-standard farmland—intensive farming mode, and sustainable farmland—efficiency-driven farming mode. In this study, the system boundary of farmland construction is identified, elucidating how various interrelated forms of farmland infrastructure development and cropping management practices affect the environmental and economic efficiency.
METHODS
The integrated benefits of the farming systems were evaluated by investigating life cycle characteristics, life cycle cost, cost-benefit analysis and Net Ecosystem Economic Benefit (NEEB) under wheat—maize cropping. Furthermore, simulation was conducted to explore the development potential of the farming system with the greatest integration benefits and regional contribution magnitude.
RESULTS AND CONCLUSIONS
The results demonstrate that sustainable farmland—intelligent farming mode not only reduces resource inputs but also enhances productivity. Moreover, it positively contributes to regulating nitrogen losses, nitrogen and carbon footprint and greenhouse gas (GHG) emission. Furthermore, this mode represents an optimal economic approach, leading to a total decrease in CO2 emissions of 9.01E+07 t, an increase in net ecosystem economic benefits of 101 billion Chinese Yuan, and a rise in grain yields of 1278 t in the North Plain of China.
SIGNIFICANCE
This study emphasizes the significance of enhancing precise cropping management practices and advanced farmland infrastructure to promote development of efficiency-driven farming systems. Furthermore, strategies for improving various farming system should be tailored to their unique characteristics and adaptability.
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.