How to build and use the evidence-base for restoration

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Authors:
Robin Chazdon

Publication Date:
2021

Abstract/Summary:
Effectively implemented restoration can help reverse ecosystem and land degradation that contribute to human suffering, planetary climate crisis and biodiversity loss. But restoration interventions are usually performed ad-hoc, with limited knowledge to deliver specific outcomes. Restoration practices are poorly documented, and often lack information on how social or ecological outcomes were achieved and who benefitted. There is an urgent need to build an evidence-base to improve and guide policy and practice. This evidence base will emerge from an independent and freely accessible archive of restoration interventions and projects based on detailed and verified case studies. These case studies will provide a foundation for learning and analysis of the full scope of restoration activities, practices, to illuminate how specific interventions led to particular outcomes. An archive of case studies will: (1) document activity and experiences of restoration practitioners and researchers; (2) provide systematic, detailed, and informed data about restoration cases across a wide range of contexts, geographic regions, and governance structures; (3) summarize lessons learned and outcomes from different types of interventions and contexts; (4) create an engaged community of stakeholders, actors, and sectors in the restoration movement and provide a platform for sharing experiences, knowledge, and resources; and (5) supplement remote sensing-based indicators of restoration outcomes. Both positive and negative outcomes provide learning opportunities. I will present specific examples of how restoration case studies will be used by many different groups, including practitioners, international agencies, government agencies, nongovernmental organizations, funding agencies, private sector partners, and the research community.

Resource Type:
Conference Presentation, SER2021

Pre-approved for CECs under SER's CERP program

Source:
SER2021