Applying life cycle assessment to European high nature value farming systems: Environmental impacts and biodiversity

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
M. Torres-Miralles , V. Kyttä , P. Jeanneret , M. Lamminen , P. Manzano , H.L. Tuomisto , I. Herzon
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引用次数: 0

Abstract

CONTEXT

Life Cycle Assessment (LCA) remains a method of choice for assessing the environmental performance of agricultural systems. However, it is rarely applied to multifunctional extensive production systems, in which livestock use, apart from animal production, maintains a continuous disturbance that sustains the diversity of habitats and species.

OBJECTIVE

This study aims to assess the environmental impact and biodiversity of extensive ruminant production on semi-natural grasslands (SNG), that is, High Nature Value (HNV) farming across Europe. We collected data from a total of 41 HNV farms in five countries (Finland, Estonia, Spain, Greece, and France) that produce beef, sheep, and goats, and that incorporate (to a varied degree) semi-natural and permanent pastures into production.

METHODS

We used LCA to assess the potential environmental impact of HNV farms according to global warming potential (GWP100), fossil resource scarcity (FRS), water scarcity (WS) and land use (LU), by using the Solagro Carbon Calculator and OpenLCA software. We assessed biodiversity based on the expert scoring system of SALCA-BD. We compared impacts on per area and per product basis across the farms, and related them to the productivity.

RESULTS AND CONCLUSIONS

Results revealed a considerable variation in all environmental impacts among HNV farms, explained mostly by the type of ruminants, main product (meat or milk) and the production level. GWP100 per unit in beef product in France was almost twice as high as that in boreal and 3 times more than in Spain, while sheep systems in Greece varied 7-fold for meat. Sheep systems consistently had the highest GWP100, while goat systems used the most land, fossil fuel and water. Small ruminant production in Spain had both the highest land occupation and biodiversity values. Biodiversity was at its highest on farms utilising only SNG for production, which, however, related negatively to the farms' production output. Enteric fermentation accounted for 32% of overall emissions.

SIGNIFICANCE

This study makes a novel contribution towards a better understanding of the environmental performance and production capacity of HNV farming systems that are often used as examples of multifunctional and sustainable ruminant-based production.

Abstract Image

将生命周期评估应用于欧洲高自然价值农业系统:环境影响和生物多样性
背景生命周期评估(LCA)仍然是评估农业系统环境绩效的首选方法。本研究旨在评估半自然草地(SNG)(即欧洲各地的高自然价值(HNV)农业)上大面积反刍动物生产对环境的影响和生物多样性。我们收集了五个国家(芬兰、爱沙尼亚、西班牙、希腊和法国)共 41 个高自然价值农场的数据,这些农场生产牛肉、绵羊和山羊,并将半天然和永久牧场(在不同程度上)纳入生产中。方法我们使用 LCA,根据全球升温潜能值 (GWP100)、化石资源稀缺性 (FRS)、水资源稀缺性 (WS) 和土地使用情况 (LU),使用 Solagro 碳计算器和 OpenLCA 软件评估高自然价值农场对环境的潜在影响。我们根据 SALCA-BD 专家评分系统对生物多样性进行了评估。我们比较了各农场在单位面积和单位产品基础上的影响,并将其与生产率联系起来。结果和结论结果显示,HNV 农场在所有环境影响方面都存在相当大的差异,这主要是由反刍动物类型、主要产品(肉或奶)和生产水平造成的。法国牛肉产品的单位 GWP100 几乎是北方的两倍,是西班牙的三倍,而希腊绵羊系统的肉类产品则相差 7 倍。绵羊系统的 GWP100 一直最高,而山羊系统使用的土地、化石燃料和水最多。西班牙小反刍动物生产的土地占用和生物多样性价值都最高。仅使用 SNG 生产的农场生物多样性最高,但这与农场的产量呈负相关。这项研究为更好地了解 HNV 养殖系统的环境绩效和生产能力做出了新的贡献。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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