Lesson learning generates new knowledge that is particularly important in the context of recently developed approaches, processes, and complex systems with much uncertainty. One such approach is forest landscape restoration (FLR). Although grounded in a number of disciplines (e.g. conservation biology, landscape ecology, restoration ecology), FLR has remained very fluid and moulded to suit different stakeholders, from local to global. Today, many countries or organisations commit to implement FLR. Global commitments, especially following the Bonn Challenge on FLR (2011), aim to up-scale FLR to achieve social, biodiversity, and carbon benefits. However, the FLR approach is relatively new (less than 20 years), complex due to its multifaceted nature, and long-term field experience is still limited. FLR practitioners mainly learn by doing. That makes lesson learning particularly urgent. Combining learning theory and field studies from WWF’s portfolio of long-term FLR projects worldwide, the paper proposes here a framework for lesson learning in FLR that can serve to ground both practice and policy in field experiences to date.
Audio/Video, Conference Presentation, SER2019
Society for Ecological Restoration