Modelling cow longevity policies: Impacts on GHG emissions of the Swiss agricultural sector

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-09-11 DOI:10.1016/j.agsy.2024.104107
Eva Winter , Manika Rödiger , Jérôme Schneuwly , Anina Gilgen , Gabriele Mack
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Abstract

Context

The agricultural sector has a high potential to reduce greenhouse gas (GHG) emissions. One promising measure is to promote the longevity of dairy cows, as the resulting reduction in replacement heifers reduces the overall GHG emissions of the dairy sector.

Objective

In this study, we analysed the effects of a voluntary policy programme to promote the longevity of dairy cows in Switzerland. We forecasted the effects on agricultural production (milk and meat) and GHG emissions for the Swiss agricultural sector. This voluntary direct programme was implemented by the Swiss government in 2024.

Methods

We used an interdisciplinary method and a data approach that combined several data sources and models. We implemented herdbook data on changes in milk yield and veterinary costs with an increasing number of lactations in a bio-economic farm optimisation approach. The use of an agent-based modelling framework allows the consideration of heterogeneous farm responses to the voluntary direct payment programme, which incentivises an increase in productive life of dairy cows. The results of the agent-based model were then implemented in the GHG model SAGE. Four policy scenarios were simulated. They considered two levels of direct payments (low and high) for the voluntary longevity programme and two fattening strategies for those calves no longer needed for cow replacement (4- and 10-month calf fattening). The results of the longevity scenarios were compared with a reference scenario without these direct payments.

Results and conclusions

Our results show a policy scenario with a high level of direct payments and a 4-month calf fattening strategy has the highest GHG emission reduction potential in Swiss agriculture

(−1.71 % of total agricultural GHG emissions and 998 CHF/t CO2 equivalent). However, a lower level of direct payments combined with a 4-month calf fattening strategy is more cost-effective with regard to GHG emission reduction (−1.69 % of total agricultural GHG emissions and 471.5 CHF/t CO2 equivalent). The other scenarios show lower GHG reduction potential and lower cost effectiveness. We find the voluntary direct payment programme has high wind-fall effects because the payments are not linked to changes in longevity but are distributed as long as the average number of lactations of a cow herd is three or more.

Significance

This study is the first to analyse a voluntary policy programme that incentivises farmers to extend the productive life of their dairy cows. Furthermore, both environmental and economic impacts are estimated with a novel mixed modelling approach.

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奶牛长寿政策建模:对瑞士农业部门温室气体排放的影响
背景农业部门在减少温室气体排放方面潜力巨大。促进奶牛长寿是一项很有前景的措施,因为替代母牛的减少会降低乳制品行业的整体温室气体排放量。我们预测了该计划对瑞士农业生产(牛奶和肉类)和温室气体排放的影响。瑞士政府于 2024 年实施了这一自愿性直接计划。方法我们采用了跨学科方法和数据方法,结合了多个数据源和模型。我们在生物经济农场优化方法中使用了牧群手册数据,这些数据显示了随着泌乳次数的增加,牛奶产量和兽医成本的变化情况。通过使用基于代理的建模框架,可以考虑农场对自愿直接付款计划的不同反应,该计划鼓励提高奶牛的生产寿命。基于代理的模型结果随后被应用到温室气体模型 SAGE 中。模拟了四种政策情景。它们考虑了自愿长寿计划的两种直接付款水平(低和高),以及不再需要用于奶牛替代的犊牛的两种育肥策略(4 个月和 10 个月犊牛育肥)。结果和结论我们的研究结果表明,采用高水平直接支付和 4 个月犊牛育肥策略的政策方案在瑞士农业中具有最高的温室气体减排潜力(占农业温室气体排放总量的 -1.71% 和 998 瑞士法郎/吨二氧化碳当量)。然而,较低的直接支付水平结合 4 个月的小牛育肥策略在温室气体减排方面更具成本效益(占农业温室气体排放总量的 -1.69 %,471.5 瑞士法郎/吨二氧化碳当量)。其他方案的温室气体减排潜力较低,成本效益也较低。我们发现,自愿直接付款计划具有较高的风向效应,因为付款与奶牛寿命的变化无关,而是只要奶牛群的平均泌乳次数达到或超过三次就会分配付款。此外,本研究还采用一种新颖的混合建模方法对环境和经济影响进行了估算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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