Exploring Program Theory to Enhance Monitoring and Evaluation in Ecosystem‐Based Adaptation Projects
Exploring Program Theory to Enhance Monitoring and Evaluation in Ecosystem‐Based Adaptation Projects
复制标题
探索项目理论以加强基于生态系统的适应项目的监测和评估
DOI：
10.1002/ev.20130
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发表时间：
2015
影响因子：
--
通讯作者：
D. Hole
中科院分区：
文献类型：
--
作者：
M. McKinnon;D. Hole
基于生态系统的适应（EbA）项目的监测和评估（M&E）尚处于起步阶段。具体的M&E挑战借给EbA项目使用程序理论。在这篇文章中，我们将研究两种基于理论的工具--变化理论模型和证据合成--如何通过表征影响途径、识别因果机制、区分相关指标和识别不确定性领域来指导信息丰富的EbA M&E，特别是在数据贫乏的环境中，直觉和轶事经常取代证据。它将在我们组织实施的两个EbA案例研究的背景下构建，在这些案例研究中，我们将汇集来自变革理论模型发展的元素，并提供支持因果联系的证据合成的例子。我们认为，这种方法对于EbA项目来说至关重要，可以实现快速学习并培养适应性管理文化。
Monitoring and evaluation (M&E) for ecosystem‐based adaptation (EbA) projects is in its infancy. Specific M&E challenges lend EbA projects to the use of program theory. In this article, we will examine how two theory‐based tools—theory‐of‐change models and evidence synthesis—can be used to instruct informative EbA M&E through characterizing pathways to impact, identifying causal mechanisms, distinguishing relevant indicators, and recognizing areas of uncertainty, particularly in data‐poor environments where intuition and anecdote often substitute for evidence. It will be framed in the context of two EbA case studies, implemented by our organization, in which we will bring together elements from the development of theory‐of‐change models and provide examples of evidence synthesis underpinning a causal linkage. We argue that such an approach is essential for EbA projects to enable rapid learning and foster a culture of adaptive management.