Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Plas Gogerddan, SY23 3EE Aberystwyth, United Kingdom.
Wageningen Livestock Research, Wageningen University & Research, PO Box 338, 6700, AH, Wageningen, the Netherlands.
Animal. 2021 Jan;15(1):100023. doi: 10.1016/j.animal.2020.100023. Epub 2020 Dec 17.
Improved animal health can reduce greenhouse gas (GHG) emissions intensity in livestock systems while increasing productivity. Integrated modelling of disease impacts on farm-scale emissions is important in identifying effective health strategies to reduce emissions. However, it requires that modellers understand the pathways linking animal health to emissions and how these might be incorporated into models. A key barrier to meeting this need has been the lack of a framework to facilitate effective exchange of knowledge and data between animal health experts and emissions modellers. Here, these two communities engaged in workshops, online exchanges and a survey to i) identify a comprehensive list of disease-related model parameters and ii) test its application to evaluating models. Fifty-six parameters were identified and proved effective in assessing the potential of farm-scale models to characterise livestock disease impacts on GHG emissions. Easy wins for the emissions models surveyed include characterising disease impacts related to feeding.
改善动物健康状况可以降低畜牧业系统的温室气体（GHG）排放强度，同时提高生产力。在确定减少排放的有效健康策略时，对疾病对农场规模排放的影响进行综合建模非常重要。然而，这需要建模者了解将动物健康与排放联系起来的途径，以及如何将这些途径纳入模型中。满足这一需求的一个关键障碍是缺乏一个框架，无法促进动物健康专家和排放建模者之间的知识和数据的有效交流。在这里，这两个社区通过研讨会、在线交流和调查进行了合作，以：i）确定疾病相关模型参数的综合清单；ii）测试其在评估模型中的应用。确定了 56 个参数，这些参数可有效评估农场规模模型对家畜疾病对温室气体排放影响的特征。经过调查的排放模型的简单改进包括对与饲养相关的疾病影响进行特征描述。
