Carbon footprint of mixed farming crop-livestock rotational-based grazing beef systems using long term experimental data

IF 6.4 1区 农林科学 Q1 AGRONOMY
Fabiana Pereyra-Goday, Asma Jebari, Taro Takahashi, Pablo Rovira, Walter Ayala, Michael R. F. Lee, M. Jordana Rivero, Graham A. McAuliffe
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引用次数: 0

Abstract

In the context of ever-growing demand for food and associated concerns regarding the environmental impacts of high-input agricultural systems, there is growing interest in mixed farm enterprises to deliver greater sustainability compared with mono-enterprise production systems. However, assessments of such systems are complex and require high-resolution data to determine the true value and interconnectivity across enterprises. Given the scarcity of information on mixed crop–livestock systems and the difficulties of its analysis, we perform life cycle assessment using temporally high-resolution data (2019–2022) from a long-term experiment in South America to evaluate the ‘cradle-to-farmgate exit’ greenhouse gas emissions intensities of four rotational crop–livestock systems. Systems evaluated were continuous cropping: 2 years of continuous cropping; short rotation: 2-year continuous cropping plus 2-year pasture; long rotation: 2-year continuous cropping followed by 4-year pasture; and forage rotation: continuous pasture. Emissions intensities for beef throughput were reported as kilograms of carbon dioxide equivalents (CO2-eq) per kilogram of liveweight gain (LWG) using the Intergovernmental Panel for Climate Change’s Sixth Assessment Report (AR6 2021) CO2 characterisation factors. Point estimate results were found to be 11.3, 11.8, 11.8 and 16.4 kg CO2-eq/kg/LWG for continuous cropping, short rotation, long rotation and forage rotation, respectively. Emission averages arising from crops, which were separated from animal-based emissions using economic allocation, were 1.23, 0.53 and 0.52 kg CO2-eq/kg for soybean, wheat and oat, respectively. The inclusion of soil organic carbon stock changes had notable effects on reducing each system’s emissions: by 22.4%, 19.2%, 25.3% and 42.1% under continuous cropping, short rotation, long rotation and forage rotation, respectively, when soil organic carbon was included. Given there are few life cycle assessment studies available on such mixed-enterprise ‘semi-circular’ systems, particularly with novel primary data, this study adds critical knowledge to agri-food-related sustainability literature by addressing environmental issues in complex production systems compared to extant and broad coverage of mono-enterprise systems.

Abstract Image

利用长期实验数据研究农作物-牲畜混合轮作放牧牛肉系统的碳足迹
在粮食需求不断增长以及人们对高投入农业系统对环境影响的相关担忧的背景下,人们对混合农场企业的兴趣与日俱增,因为与单一企业生产系统相比,混合农场企业具有更强的可持续性。然而,对这类系统的评估非常复杂,需要高分辨率的数据来确定各企业的真正价值和相互关联性。鉴于有关作物-畜牧混合系统的信息稀缺以及分析的困难,我们利用南美洲一项长期实验的时间高分辨率数据(2019-2022 年)进行了生命周期评估,以评估四种轮作作物-畜牧系统的 "从摇篮到远口出口 "温室气体排放强度。评估的系统包括连作:2 年连作;短轮作:2 年连作加 2 年牧草;长轮作:2 年连作后 4 年牧草;以及饲草轮作:连作牧草。牛肉产量的排放强度采用政府间气候变化专门委员会第六次评估报告(AR6 2021)的二氧化碳表征因子,以每公斤活重增重(LWG)二氧化碳当量(CO2-eq)为单位进行报告。点估算结果显示,连作、短轮作、长轮作和饲草轮作的二氧化碳当量分别为 11.3、11.8、11.8 和 16.4 千克二氧化碳当量/千克/活重增重。利用经济分配法将作物排放与动物排放分离后,大豆、小麦和燕麦的平均排放分别为 1.23、0.53 和 0.52 千克二氧化碳当量/千克。纳入土壤有机碳储量变化对减少每个系统的排放量都有显著效果:如果纳入土壤有机碳,连作、短轮作、长轮作和饲草轮作下的排放量分别减少 22.4%、19.2%、25.3% 和 42.1%。鉴于目前很少有关于此类混合企业 "半圆形 "系统的生命周期评估研究,特别是使用新的原始数据的研究,因此,与现有的、广泛覆盖的单一企业系统相比,本研究通过解决复杂生产系统中的环境问题,为农业食品相关的可持续发展文献增添了重要的知识。
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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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