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欧洲高自然价值农业系统:一个包含农场环境影响评估和粗放型反刍动物食品产品的数据集。

High nature value farming systems in Europe: A dataset encompassing the environmental impact assessment of farms and extensive ruminant food products.

作者信息

Torres-Miralles M, Jeanneret P, Lamminen M, Joly F, Dumont B, Tuomisto H, Herzon I

机构信息

Department of Agricultural Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Latokartanonkaari 5, 00014, Finland.

Helsinki Institute of Sustainability Science (HELSUS), University of Helsinki, Yliopistonkatu 3, 00100, Finland.

出版信息

Data Brief. 2024 Dec 4;58:111164. doi: 10.1016/j.dib.2024.111164. eCollection 2025 Feb.

Abstract

High Nature Value (HNV) farming systems occur in areas where the major land use is agriculture and are characterized by their significance in promoting biodiversity and ecosystem services due to their extensive land use. Despite their importance for ecological and socio-economic resilience of rural regions, these systems are often overlooked in Life Cycle Assessment (LCA) studies due to challenges in data compilation, especially from small local farms and because of the diversity of production. To address this gap, we established an international collaborative network across Europe, involving professionals directly engaged with farmers, farmer associations, and researchers to collect data on HNV farms employing a developed questionnaire examining inputs and outputs, farm structures, and herd characteristics. Our dataset includes 41 farms and covers five European countries-Spain, France, Greece, Estonia, and Finland-spanning three bioregions of Mediterranean, Atlantic, and Boreal. Data, anonymised and integrated into a matrix, focus on such environmental impact indicators as greenhouse gas emissions (GHGs), biodiversity, land and water use, and fossil resource scarcity. We applied LCA using analytical tools such as the European Carbon Calculator (Joint Research Centre of the European Commission), OpenLCA 10.4., and the SALCA-BD expert system. Additionally, we utilised the LCA inventory Agribalyse 3.0 database to estimate the environmental footprint of four pivotal HNV products: goat cheese, cow milk, lamb, and beef. The main outcome is a unique and novel dataset for HNV farming systems, addressing critical gaps in available information. Our primary objective is to facilitate further investigations, empowering other researchers to expand and enhance their understanding of the environmental impact associated with HNV farming systems, drawing attention to a potential role of HNV farming systems in transitioning towards a more sustainable food production and consumption.

摘要

高自然价值(HNV)农业系统存在于主要土地用途为农业的地区,其特点是由于土地利用广泛,在促进生物多样性和生态系统服务方面具有重要意义。尽管这些系统对农村地区的生态和社会经济复原力至关重要,但由于数据收集方面的挑战,特别是来自小型本地农场的数据收集困难以及生产的多样性,它们在生命周期评估(LCA)研究中常常被忽视。为了弥补这一差距,我们在欧洲建立了一个国际合作网络,参与人员包括直接与农民、农民协会和研究人员合作的专业人士,通过一份已制定的问卷收集有关HNV农场的投入和产出、农场结构以及畜群特征的数据。我们的数据集包括41个农场,涵盖了五个欧洲国家——西班牙、法国、希腊、爱沙尼亚和芬兰,跨越地中海、大西洋和北方三个生物区域。经过匿名处理并整合到一个矩阵中的数据,聚焦于温室气体排放(GHG)、生物多样性、土地和水资源利用以及化石资源稀缺等环境影响指标。我们使用欧洲碳计算器(欧盟委员会联合研究中心)、OpenLCA 10.4.和SALCA - BD专家系统等分析工具进行生命周期评估。此外,我们利用生命周期评估清单Agribalyse 3.0数据库来估计四种关键HNV产品的环境足迹:山羊奶酪、牛奶、羊肉和牛肉。主要成果是为HNV农业系统提供了一个独特且新颖的数据集,填补了现有信息中的关键空白。我们的主要目标是促进进一步的研究,使其他研究人员能够扩展并加深对与HNV农业系统相关的环境影响的理解,提请人们关注HNV农业系统在向更可持续的粮食生产和消费转型中的潜在作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dde/11719277/58319e3fae2f/gr1.jpg

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