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From LLA to GGA: Measuring adaptation progress from the local to the global level

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Format
Online
Date

 Time

01:00 PM  CEST

Description

As countries prepare for key milestones under the Global Goal on Adaptation (GGA), including the operationalisation of the Belém Adaptation Indicators and ongoing reporting under the Kunming-Montreal Global Biodiversity Framework (GBF), there is growing recognition that adaptation success cannot be measured through biophysical indicators alone. Adaptation is ultimately about people, ecosystems, rights, agency, governance, and resilience across scales. The challenge is how to measure these dimensions meaningfully while generating learning that can improve policy and practice. 

This CDKN webinar brings together two complementary pieces of work: Measures of Adaptation at Multiple Scales: Evidence to Understand Progress under the Global Goal on Adaptation and the Global Biodiversity Framework and Seeds of Change: Equitable Approaches for Transformative Ecosystem-based Adaptation (TEbA). The webinar will explore how countries, communities and practitioners are already generating valuable adaptation evidence through local MEL systems; why adaptation measurement must extend beyond hectares restored and infrastructure built; and how qualitative learning, local knowledge and lived experience can help explain what adaptation success looks like in practice. The TEbA cases from Africa and Latin America will illustrate how transformative outcomes emerge through shifts in views, structures and practices, and why knowledge brokering, rights-based approaches, community leadership and inclusive governance are often the enabling conditions behind measurable adaptation outcomes. 

By bringing together Indigenous leaders, negotiators engaged in the GGA process, adaptation practitioners and MEL experts, the session will create a dialogue between global adaptation metrics and local realities, demonstrating how learning from implementation can strengthen both national reporting systems and global adaptation frameworks.

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