Plant Conservation Unit, Department of Biological Sciences, University of Cape Town, Private Bag X3, Rondebosch 7701, South Africa.
Scientific Services, South African National Parks, Private Bag X402, Skukuza 1350, South Africa; Current address: PO Box 230, Bathurst 6166, South Africa.
Trends Ecol Evol. 2019 Jan;34(1):31-44. doi: 10.1016/j.tree.2018.10.003. Epub 2018 Nov 15.
Adaptive management (AM) and evidence-based conservation (EBC) have emerged as major decision-making frameworks for conservation management. AM deals with complexity and the importance of local context in making conservation decisions under conditions of high variability, uncertainty, and rapid environmental and social change. EBC seeks for generality from empirical data and aims to develop and enhance best practice. The goal of this review is to explore opportunities for finding common ground between AM and EBC. We propose a framework for distinguishing the subset of conservation problems that are amenable to an evidence-based approach, based on levels of uncertainty, complexity, and social agreement. We then suggest ways for combining multiple lines of evidence and developing greater opportunities for iteration and co-learning in EBC.
自适应管理（AM）和循证保护（EBC）已经成为保护管理的主要决策框架。AM 应对在高度变化、不确定和快速的环境和社会变化条件下做出保护决策时的复杂性和地方背景的重要性。EBC 从经验数据中寻求普遍性，并旨在制定和加强最佳实践。本综述的目的是探索 AM 和 EBC 之间找到共同点的机会。我们提出了一个框架，根据不确定性、复杂性和社会共识的程度，来区分可采用循证方法的保护问题子集。然后，我们建议如何结合多种证据，并为 EBC 提供更多迭代和共同学习的机会。
