Integrating production, ecology and livelihood confers an efficiency-driven farming system based on the sustainable farmland framework

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-07-18 DOI:10.1016/j.agsy.2024.104049
Yanshu Yin , Yingnan Zhang , Shu Wang , Ke Xu , Yang Zhang , Thomas Dogot , Changbin Yin
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Abstract

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.

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将生产、生态和生计融为一体,在可持续农田框架的基础上建立以效率为导向的农业系统
内容提要确保农业生产的碳减排和可持续发展,对于满足农业系统的多方面需求至关重要,包括保障粮食安全、推进生态友好型农业实践以及改善农民生计。虽然中国最近引入了可持续农田下的效率驱动型农业系统,该系统集成了生产、生态和生计等方面,但与其他农业系统相比,其有效性仍有待探索。目的传统农田-小农户耕作模式、高标准农田-集约化耕作模式和可持续农田-效率驱动型耕作模式是三大主流耕作制度。方法通过研究小麦-玉米种植的生命周期特征、生命周期成本、成本效益分析和生态系统净经济效益(NEEB),评估耕作制度的综合效益。结果与结论结果表明,可持续农田智能耕作模式不仅能减少资源投入,还能提高生产率。此外,它还对调节氮损失、氮和碳足迹以及温室气体(GHG)排放做出了积极贡献。此外,该模式代表了一种最佳的经济方法,使中国北方平原的二氧化碳排放总量减少了 9.01E+07 t,生态系统经济净效益增加了 1010 亿元,粮食产量增加了 1278 t。 意义本研究强调了加强精确的种植管理实践和先进的农田基础设施对促进效率驱动型耕作制度发展的重要意义。此外,应根据不同耕作制度的特点和适应性制定相应的改进策略。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
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.
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