The CIRKULÆR model – A national and regional static flow model of agricultural production, environmental and climatic impacts

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Henrik Thers, Lars Uldall-Jessen, Asbjørn Mølmer Sahlholdt , Mette Vestergaard Odgaard, August Kau Lægsgaard Madsen, Tommy Dalgaard, Troels Kristensen, Jorge Federico Miranda-Vélez
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引用次数: 0

Abstract

CONTEXT

Intensive agriculture is a complex, partially industrial and partially circular system that stretches outside the boundaries of fields, herds, and farms. Increasing circularity in agriculture for both environmental and economic reasons requires ex-ante assessment tools designed to operate at the same scale and level of complexity.

OBJECTIVE

To address this, we developed the CIRKULÆR model, which evaluates system-wide climate and environmental effects of changing agricultural practices at a highly interconnected regional scale.

METHODS

The model estimates inputs, outputs, emissions and the flow of biomass, C, N, P, K and energy from crop cultivation and animal production to storage and processing of biomass. We demonstrate the capabilities of CIRKULÆR in a case study based in Denmark, which explored the substitution of cereals with protein crops followed by different storage and utilization steps. We considered twelve scenarios, each involving one of four protein crops (grass-clover, organic grass-clover, alfalfa and faba beans) in one of three soil types (coarse sand, irrigated sand and clay).

RESULTS AND CONCLUSIONS

The greatest differences from business-as-usual baseline were seen in grass-clover, organic grass clover and alfalfa scenarios. Here, biomass processing led to reduced soya imports and increased biogas production, an increase in direct and indirect farm-related GHG emissions and a considerable increase in soil carbon sequestration which, combined, resulted in a decrease in net farm-related GHG emissions. Finally, out-of-farm GHG emissions increased for grass-clover, while a reduction in alfalfa and faba bean was driven by lower N fertilizer imports.

SIGNIFICANCE

These findings represent valuable insights for planning future incentives and policies in agriculture. In addition, the wide range of scenarios that can be evaluated by the CIRKULÆR model underpin the potential of the model to support decision makers.
CIRKULÆR模型-农业生产、环境和气候影响的国家和区域静态流动模型
集约化农业是一个复杂的、部分工业化和部分循环的系统,它延伸到田地、牛群和农场的边界之外。出于环境和经济原因,增加农业循环需要预先设计评估工具,以在相同的规模和复杂程度上运行。为了解决这个问题,我们开发了CIRKULÆR模型,该模型在高度相互关联的区域尺度上评估农业实践变化对整个系统的气候和环境影响。方法该模型估算了从作物种植和动物生产到生物质储存和加工的生物质、碳、氮、磷、钾和能量的投入、产出、排放和流量。我们在丹麦的一个案例研究中展示了CIRKULÆR的功能,该案例研究了用蛋白质作物替代谷物,然后采取不同的储存和利用步骤。我们考虑了12种情况,每种情况涉及四种蛋白质作物(草三叶草、有机草三叶草、苜蓿和蚕豆)中的一种,土壤类型为三种(粗砂、灌溉砂和粘土)。结果与结论草叶三叶草、有机草叶三叶草和紫花苜蓿三种情况与常规基线差异最大。在这里,生物质加工导致大豆进口减少,沼气产量增加,与农场有关的直接和间接温室气体排放增加,土壤固碳量大幅增加,这些综合起来导致与农场有关的温室气体净排放量减少。最后,草三叶草的农场外温室气体排放量增加,而紫花苜蓿和蚕豆的减少是由于氮肥进口减少所致。这些发现为规划未来的农业激励和政策提供了有价值的见解。此外,CIRKULÆR模型可以评估的广泛的场景巩固了模型支持决策者的潜力。
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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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