Chapman Sarah, Sullivan Clare, Palm Cheryl, Huynh Uyen, Diru William, Masira Jessica
Institute for Monitoring and Evaluation, School of Management Studies, University of Cape Town, Rondebosch, 7708, Cape Town, South Africa.
Agriculture and Food Security Center, The Earth Institute, Columbia University, Lamont Campus 61 Route 9 W, Lamont Hall, 2G, P.O. Box 1000, Palisades, NY, 10964, USA.
J Environ Manage. 2016 Dec 1;183:142-151. doi: 10.1016/j.jenvman.2016.08.014. Epub 2016 Aug 31.
This article focuses attention on monitoring and evaluation approaches that will help resource managers to manage for change and uncertainty in adaptive co-management (ACM). ACM is a learning-by-doing approach that aims to build flexible community-based natural resource governance systems through collaborative or otherwise participatory means. We describe the framework for monitoring and evaluation that we developed and applied in ten African countries, which includes fixed indicators and measures for co-management performance monitoring, a process evaluation element, a platform for repeat ecological surveillance, and a longitudinal household survey. We comment on the usefulness of this framework, and its applicability to a wide range of geographic contexts. We then present a four step model to assist managers in applying the framework to specific co-management problems. The model suggests a cascade approach to defining key evaluations questions at a systems, network, individual and synthesis level. We illustrate the application of our model and framework by means of a case study of a co-managed agroforestry program in western Kenya.
本文重点关注监测与评估方法,这些方法将有助于资源管理者在适应性共同管理(ACM)中应对变化和不确定性进行管理。ACM是一种边做边学的方法,旨在通过协作或以其他参与方式建立灵活的基于社区的自然资源治理系统。我们描述了我们在十个非洲国家开发并应用的监测与评估框架,其中包括用于共同管理绩效监测的固定指标和措施、一个过程评估要素、一个重复生态监测平台以及一项纵向家庭调查。我们评论了该框架的实用性及其在广泛地理背景下的适用性。然后,我们提出了一个四步模型,以协助管理者将该框架应用于特定的共同管理问题。该模型建议采用一种级联方法,在系统、网络、个体和综合层面定义关键评估问题。我们通过肯尼亚西部一个共同管理的农林业项目的案例研究来说明我们的模型和框架的应用。