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Connecting Diverse Knowledge Systems for Enhanced Ecosystem Governance: The Multiple Evidence Base Approach

机译:连接多种知识系统以增强生态系统治理:基于多种证据的方法

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摘要

Indigenous and local knowledge systems as well as practitioners' knowledge can provide valid and useful knowledge to enhance our understanding of governance of biodiversity and ecosystems for human well-being. There is, therefore, a great need within emerging global assessment programs, such as the IPBES and other international efforts, to develop functioning mechanisms for legitimate, transparent, and constructive ways of creating synergies across knowledge systems. We present the multiple evidence base (MEB) as an approach that proposes parallels whereby indigenous, local and scientific knowledge systems are viewed to generate different manifestations of knowledge, which can generate new insights and innovations through complementarities. MEB emphasizes that evaluation of knowledge occurs primarily within rather than across knowledge systems. MEB on a particular issue creates an enriched picture of understanding, for triangulation and joint assessment of knowledge, and a starting point for further knowledge generation.
机译:土著和地方知识系统以及从业者的知识可以提供有效和有用的知识,以加深我们对生物多样性和生态系统治理对人类福祉的理解。因此,在诸如IPBES之类的新兴全球评估计划以及其他国际努力中,迫切需要开发一种功能性机制,以合法,透明和建设性的方式在整个知识系统之间创造协同作用。我们提出了多种证据基础(MEB),该方法提出了一些相似之处,使土著,地方和科学知识系统被视为产生不同的知识表现形式,通过互补性可以产生新的见解和创新。 MEB强调,知识评估主要发生在知识系统内部,而不是跨知识系统。关于特定问题的MEB为知识的三角测量和联合评估创造了丰富的理解图景,并为进一步产生知识提供了起点。

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