Economic optimization of sustainable soil management: a Dutch case study

IF 6.4 1区 农林科学 Q1 AGRONOMY
M. C. Kik, G. D. H. Claassen, M. P. M. Meuwissen, G. H. Ros, A. B. Smit, H. W. Saatkamp
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引用次数: 0

Abstract

Soil quality is pivotal for crop productivity and the environmental quality of agricultural ecosystems. Achieving sufficient yearly income and long-term farm continuity are key goals for farmers, making sustainable soil management an economic challenge. Existing bio-economic models often inadequately address soil quality. In this study, we apply the novel FARManalytics model, which integrates chemical, physical, and biological indicators of soil quality indicator, quantitative rules on how these indicators respond to farmers’ production management over time, and an economic calculation framework that accurately calculates the contribution of production management decisions towards farm income. This is the first study applying this model on existing arable farms. FARManalytics optimizes crop rotation design, cover crops, manure and fertilizer application and crop residue management. Nine Dutch arable farms were analyzed with a high variation in farm size, soil type, and cultivated crops. First, we assessed farm differences in soil quality and farm economics. Second, we optimized production management to maximize farm income while meeting soil quality targets using farm-specific scenarios. Third, we explored the impact of recent policy measures to preserve water quality and to increase the contribution of local protein production. The results show that the case farms already perform well regarding soil quality, with 75% of the soil quality indicators above critical levels. The main soil quality bottlenecks are subsoil compaction and soil organic matter input. We show that even in front-runner farms, bio-economic modeling with FARManalytics substantially improves economic performance while increasing soil quality. We found that farm income could be increased by up to €704 ha−1 year−1 while meeting soil quality targets. Additionally, we show that to anticipate on stricter water quality regulation and market shift for protein crops, FARManalytics is able to provide alternative production management strategies that ensure the highest farm income while preserving soil quality for a set of heterogenous farms.

Abstract Image

可持续土壤管理的经济优化:荷兰案例研究
土壤质量对作物产量和农业生态系统的环境质量至关重要。实现充足的年收入和农场的长期持续发展是农民的主要目标,这使得可持续土壤管理成为一项经济挑战。现有的生物经济模型往往没有充分考虑土壤质量问题。在本研究中,我们应用了新颖的 FARManalytics 模型,该模型整合了土壤质量指标的化学、物理和生物指标、这些指标如何随时间推移对农民的生产管理做出反应的定量规则,以及一个可准确计算生产管理决策对农业收入贡献的经济计算框架。这是首次将该模型应用于现有耕地的研究。FARManalytics 可优化轮作设计、覆盖作物、粪肥和化肥施用以及作物秸秆管理。研究分析了九个荷兰耕地农场,农场规模、土壤类型和种植作物差异很大。首先,我们评估了农场在土壤质量和农场经济方面的差异。其次,我们优化了生产管理,以便在达到土壤质量目标的同时,利用农场的具体情况实现农场收入最大化。第三,我们探讨了近期旨在保护水质和提高本地蛋白质生产贡献率的政策措施的影响。结果表明,案例农场的土壤质量表现良好,75% 的土壤质量指标高于临界水平。土壤质量的主要瓶颈是底土压实和土壤有机质输入。我们的研究表明,即使在领先农场,利用 FARManalytics 建立生物经济模型也能在提高土壤质量的同时大幅改善经济效益。我们发现,在达到土壤质量目标的同时,农场收入最多可增加 704 欧元/公顷-1 年-1。此外,我们还表明,为了预测更严格的水质法规和蛋白质作物的市场变化,FARManalytics 能够提供替代生产管理策略,在保护土壤质量的同时,确保一组不同农场的最高农场收入。
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来源期刊
Agronomy for Sustainable Development
Agronomy for Sustainable Development 农林科学-农艺学
CiteScore
10.70
自引率
8.20%
发文量
108
审稿时长
3 months
期刊介绍: Agronomy for Sustainable Development (ASD) is a peer-reviewed scientific journal of international scope, dedicated to publishing original research articles, review articles, and meta-analyses aimed at improving sustainability in agricultural and food systems. The journal serves as a bridge between agronomy, cropping, and farming system research and various other disciplines including ecology, genetics, economics, and social sciences. ASD encourages studies in agroecology, participatory research, and interdisciplinary approaches, with a focus on systems thinking applied at different scales from field to global levels. Research articles published in ASD should present significant scientific advancements compared to existing knowledge, within an international context. Review articles should critically evaluate emerging topics, and opinion papers may also be submitted as reviews. Meta-analysis articles should provide clear contributions to resolving widely debated scientific questions.
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