Examining Adaptation and Resilience Frameworks: Data Quality’s Role in Supporting Climate Efforts

Abstract

The current landscape of climate change adaptation and resilience policies, frameworks, and indicators is rapidly changing as nations, organizations, and individuals acknowledge the urgent need to address its impacts. Various methods for adaptation and resilience are developed and monitored through formal indicators. However, there are gaps in indicator development and monitoring, including the need for more indicators to address monitoring gaps, lacks in the availability of fit-for-purpose (quality and quantity) data sets, and interpretation challenges. Especially at the local level, these gaps are pronounced. In this study, we assessed current policies, frameworks, and indicators, and conducted semi-structured interviews with stakeholders. A key concern raised was the difficulty in handling insufficient, quality data, particularly in developing nations, hindering adaptation implementation. Respondents also noted the lack of a standardised approach/tool for planning, monitoring, and evaluation. To address this, stakeholders advocated for local indicators and a unified approach/tool. Comparable and consistent data, collected by qualified personnel, were emphasised. Effective adaptation plans are vital in responding to climate change, yet challenges persist in planning, implementation, and monitoring, reporting, and verification phases. A recommended solution involves a common measurement approach for adaptation and resilience, alongside tailored local strategies to ensure success of these plans.