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Governing the Murray-Darling Basin: Integrating social and biophysical indicators for better environmental outcomes
Environmental Science & Policy ( IF 6 ) Pub Date : 2021-06-18 , DOI: 10.1016/j.envsci.2021.05.019
Frederick Bouckaert , Yongping Wei , Jamie Pittock

River basin governance has become increasingly challenged in many river basins around the world. At heart is the poor understanding of governance performance and its interaction with biophysical restoration targets. This paper aims to improve the Murray-Darling Basin governance for better environmental outcomes by understanding the interactions between governance performance indicators and biophysical indicators. A diagnostic framework consisting of social indicators (Collaboration, Leadership, Institutions and Learning) and biophysical indicators (River Flows, Water Quality, Biodiversity and Species Recovery) was used to estimate condition and target for each indicator from a range of stakeholder groups representing different interests and perspectives. In addition, stakeholders also measured synergistic effects of indicator progress towards target on other indicators using strength of indicator interaction scores. A network analysis of indicator condition and interaction scores was used to determine a composite enabling pathway to suggest stakeholder contributing roles to polycentric governance. Leadership and its role in regulation, compliance and operating rules is a recurring challenge mentioned by multiple stakeholder groups, requiring clarification of roles and subsidiarity decision-making through enhanced collaboration and institutional reform. The enabling pathway proposes collaborative learning by assigning co-implementation priorities based on diagnostics rather than stakeholder specific identified key challenges. This novel approach offers a tangible way for developing sectorised stakeholder engagement strategies where participation is conceived as active collaboration towards decision-making and co-implementation.



中文翻译:

管理墨累-达令盆地:整合社会和生物物理指标以获得更好的环境成果

流域治理在全球许多流域面临越来越大的挑战。核心是对治理绩效及其与生物物理恢复目标的相互作用缺乏了解。本文旨在通过了解治理绩效指标和生物物理指标之间的相互作用,改进墨累-达令盆地的治理,以实现更好的环境成果。由社会指标(协作领导力制度学习)和生物物理指标(河流流量水质生物多样性物种恢复)组成的诊断框架用于从代表不同利益和观点的一系列利益相关者群体估计每个指标的条件和目标。此外,利益相关者还使用指标交互得分的强度来衡量指标进展对其他指标的协同效应。指标条件和交互得分的网络分析用于确定一个复合启用途径,以建议利益相关者对多中心治理的贡献作用。领导力及其在监管、合规和运营规则中的作用是多个利益相关者群体提到的一个反复出现的挑战,需要通过加强协作和机构改革来明确角色和附属决策。赋能途径通过基于诊断而不是利益相关者特定确定的关键挑战分配共同实施优先级来提出协作学习。这种新颖的方法为制定部门化的利益相关者参与战略提供了一种切实的方式,在这种战略中,参与被视为积极合作以促进决策和共同实施。

更新日期:2021-06-18
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