欧洲高自然价值农业系统:包含农场和广泛反刍食品环境影响评估的数据集。

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
M. Torres-Miralles , P. Jeanneret , M. Lamminen , F. Joly , B. Dumont , H. Tuomisto , I. Herzon
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引用次数: 0

摘要

高自然价值 (HNV) 农业系统出现在以农业为主要土地用途的地区,其特点是因其广泛的土地用途而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恢复能力非常重要,但由于数据收集方面的挑战,尤其是来自当地小型农场的数据,以及生产的多样性,这些系统在生命周期评估(LCA)研究中往往被忽视。为了填补这一空白,我们在欧洲建立了一个国际合作网络,让直接与农民、农民协会和研究人员打交道的专业人员参与其中,利用开发的调查问卷收集 HNV 农场的数据,调查内容包括投入和产出、农场结构和畜群特征。我们的数据集包括 41 个农场,涵盖五个欧洲国家--西班牙、法国、希腊、爱沙尼亚和芬兰,横跨地中海、大西洋和北方三个生物区。数据经过匿名处理并整合到一个矩阵中,重点关注温室气体排放、生物多样性、土地和水资源利用以及化石资源稀缺性等环境影响指标。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分析。此外,我们还利用 LCA 清单 Agribalyse 3.0 数据库估算了四种关键的 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而新颖的数据集,填补了现有信息的重大空白。我们的主要目标是促进进一步的调查,使其他研究人员有能力扩大和加强他们对与 HNV 农业系统相关的环境影响的了解,并提请人们注意 HNV 农业系统在向更可持续的食品生产和消费过渡方面的潜在作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High nature value farming systems in Europe: A dataset encompassing the environmental impact assessment of farms and extensive ruminant food products
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.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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