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A framework for coupling a participatory approach and life cycle assessment for public decision-making in rural territory management

机译:在乡村领土管理中将参与性方法和生命周期评估相结合的公共决策框架

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摘要

To ensure agricultural land in rural territories is managed sustainability, environmental assessments need to be undertaken to support both policy-makers and local stakeholders in their decision making. Thanks to its completeness, life cycle assessment (LCA) is one of the most widely used tools for the evaluation of environmental impacts. However, LCA is difficult to apply in rural areas of developing countries. First, it requires a lot of data that are difficult to collect due to the diversity of small farming systems. Second, LCA results are difficult for non-specialists to interpret due to the complexity of its multiple indicators. Third, the processes considered in LCA often do notmatch the values and interests of the stakeholders. The aim of this paper is to propose an innovative operational framework that couples LCA and a participatory approach to overcome these issues. The first step was to conduct a progressive participatory diagnosis of the socio-ecological structure of the rural territory and to characterise the main cropping systems. The results of the diagnosis and other data were progressively triangulated, validated and consolidated with the stakeholders at the territorial level. The paper discusses the quality and validity of data obtained using a participatory approach. To improve the appropriation of results by stakeholders, the LCA method was applied using a territorial approach to distinguish on-site and off-site activities as well as global and local impacts. The applicability of the framework was tested on a case study in a semi-arid region in central Tunisia. (C) 2018 Elsevier B.V. All rights reserved.
机译:为了确保农村地区的农业用地得到可持续管理,需要进行环境评估以支持决策者和地方利益相关者的决策。由于其完整性,生命周期评估(LCA)是评估环境影响的最广泛使用的工具之一。但是,LCA难以在发展中国家的农村地区应用。首先,由于小型耕作系统的多样性,它需要大量难以收集的数据。其次,由于LCA结果的多个指标非常复杂,因此非专业人士难以理解。第三,LCA中考虑的流程通常与利益相关者的价值观和利益不匹配。本文的目的是提出一个创新的运营框架,将LCA与参与式方法相结合以克服这些问题。第一步是对农村地区的社会生态结构进行渐进式参与式诊断,并确定主要的种植系统。将诊断结果和其他数据逐步地三角化,验证并与地区级的利益相关者合并。本文讨论了使用参与性方法获得的数据的质量和有效性。为了改善利益相关者对结果的分配,LCA方法采用地域性方法来区分现场和非现场活动以及全球和本地影响。该框架的适用性在突尼斯中部一个半干旱地区的案例研究中进行了测试。 (C)2018 Elsevier B.V.保留所有权利。

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