Carbon footprint for farms in the Czech Republic: a benchmark-based assessment.

IF 3.3 2区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Jan Kovanda, Svatava Janoušková, Tomáš Hák, Viktor Třebický, Petr Koňata
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Abstract

Background: Climate change is a pressing environmental and social challenge that demands effective monitoring of greenhouse gas (GHG) emissions. One widely adopted approach for this is quantifying the carbon footprint (CF). Given that agriculture is a major contributor to GHG emissions, we have developed a comprehensive framework for CF accounting at the farm level. This framework has been tested on 12 farms in the Czech Republic to assess both data availability and calculation accuracy.

Results: Our study examines how various farm characteristics, such as turnover, land area and number of employees, influence the overall CF and enable meaningful comparisons between farms. We found that absolute farm CFs are significantly influenced by the size effect, making them unsuitable for benchmarking purposes. By contrast, relative farm CFs (per turnover, per area and per employee) are not affected by the size effect, but can be affected by a scale effect. Additionally, we investigated whether a focus on animal husbandry leads to higher relative CFs. By calculating the share of animal husbandry (SoAH) in farm operations, we discovered a significant correlation between SoAH and relative CFs, with the strongest correlation observed for CF per turnover (0.87).

Conclusion: We argue that farms with high shares of SoAH are unlikely to reduce their relative CFs to the levels of farms with zero or low SoAH. We therefore propose applying benchmarking to farms with similar SoAH. We also propose that further research should focus on defining and validating relevant reference values, comprising a benchmark set that reflects different farm types. © 2025 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

捷克共和国农场的碳足迹:基于基准的评估。
背景:气候变化是一项紧迫的环境和社会挑战,需要对温室气体(GHG)排放进行有效监测。一个被广泛采用的方法是量化碳足迹(CF)。鉴于农业是温室气体排放的主要来源,我们制定了一个综合框架,用于农场层面的CF核算。该框架已在捷克共和国的12个农场进行了测试,以评估数据的可用性和计算的准确性。结果:我们的研究考察了不同的农场特征,如营业额、土地面积和员工数量,如何影响整体CF,并使农场之间进行有意义的比较。我们发现,绝对农场碳排放成本受到规模效应的显著影响,因此不适合用于基准测试。相比之下,相对农场成本(每营业额、每面积和每个雇员)不受规模效应的影响,但可能受到规模效应的影响。此外,我们还调查了对畜牧业的关注是否会导致较高的相对CFs。通过计算畜牧业(SoAH)在农场经营中的份额,我们发现SoAH与相对CF之间存在显著相关性,其中每营业额CF的相关性最强(0.87)。结论:我们认为高SoAH比例的农场不太可能将其相对CFs降低到零SoAH或低SoAH的农场的水平。因此,我们建议对具有类似SoAH的农场应用基准测试。我们还建议,进一步的研究应侧重于定义和验证相关的参考值,包括反映不同农场类型的基准集。©2025作者。约翰威利父子有限公司代表化学工业协会出版的《食品与农业科学杂志》。
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
CiteScore
8.10
自引率
4.90%
发文量
634
审稿时长
3.1 months
期刊介绍: The Journal of the Science of Food and Agriculture publishes peer-reviewed original research, reviews, mini-reviews, perspectives and spotlights in these areas, with particular emphasis on interdisciplinary studies at the agriculture/ food interface. Published for SCI by John Wiley & Sons Ltd. SCI (Society of Chemical Industry) is a unique international forum where science meets business on independent, impartial ground. Anyone can join and current Members include consumers, business people, environmentalists, industrialists, farmers, and researchers. The Society offers a chance to share information between sectors as diverse as food and agriculture, pharmaceuticals, biotechnology, materials, chemicals, environmental science and safety. As well as organising educational events, SCI awards a number of prestigious honours and scholarships each year, publishes peer-reviewed journals, and provides Members with news from their sectors in the respected magazine, Chemistry & Industry . Originally established in London in 1881 and in New York in 1894, SCI is a registered charity with Members in over 70 countries.
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