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Measuring an adaptation goal: effectiveness and adequacy

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This is a presentation by senior researcher Susannah Fisher and researcher Brianna Craft of the Climate Change Group of the International Institute for Environment and Development.

It examines how their work with national governments on measuring effective adaptation, developing indicators and trying to understand short and longer-term effectiveness can contribute to assessing progress towards the global adaptation goal established in the Paris Agreement.

Fisher and Craft made the presentation at a joint OECD/IIED side event Identifying progress towards national and global adaptation goals at the Bonn climate change conference on May 18, 2016.

The conference served as the 44th session of the United Nations Framework Convention on Climate Change’s (UNFCCC) Subsidiary Body for Implementation (SBI 44) and Subsidiary Body for Scientific and Technological Advice (SBSTA 44), as well as the first session of the Ad Hoc Working Group on the Paris Agreement (APA 1).

More information: http://www.iied.org/how-measure-global-goal-for-adaptation

Published in: Environment
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Measuring an adaptation goal: effectiveness and adequacy

  1. 1. 1 Craft and Fisher Bonn, 2016Craft and Fisher Bonn, 2016 Brianna Craft and Susannah Fisher Climate Change Group, IIED Measuring an adaptation goal: effectiveness and adequacy
  2. 2. 2 Craft and Fisher Bonn, 2016 Why effectiveness and adequacy? • Paris established a global goal on adaptation and a process for assessing progress • Reviewing progress towards the achievement of the goal will involve examining the effectiveness and adequacy of adaptation actions • Mandate given to the AC and the LEG to develop these methodologies
  3. 3. 3 Craft and Fisher Bonn, 2016 Effective and adequate adaptation • Sufficient to allow development trajectory to continue as it would have without additional climate risks • Needs to be considered within context of national development goals and priorities • Adequate can be financial but also in results – sufficient to meet challenges
  4. 4. 4 Craft and Fisher Bonn, 2016 Key indicators 4 main types  Climate risk management (process)  Resilience and related (short-term)  Wellbeing including costs to assets, livelihoods and lives (long-term)  Climate indicators and indices (context) Brooks et al. 2013
  5. 5. 5 Craft and Fisher Bonn, 2016 Long-term adaptation - Relevant institutional capacities and enabling environment - Interpreting trends in relevant climate- sensitive national indicators (wellbeing) - Using climate data to interpret the trend or possible explanations Brooks, 2014
  6. 6. 6 Craft and Fisher Bonn, 2016 Challenges • Future climate change is uncertain • Data are limited for baselines and understanding climate contexts • Requires cross-sectoral work and investment, long time frames • Adaptation one part of development process  Need to work with what data is available
  7. 7. 7 Craft and Fisher Bonn, 2016 National experiences • Kenya: MRV+, and NPBMF • Ethiopia: CRGE results framework • Cambodia: Vulnerability indices • UK: Adaptation preparedness ladders
  8. 8. 8 Craft and Fisher Bonn, 2016
  9. 9. 9 Craft and Fisher Bonn, 2016 Lessons so far • Process/institutional indicators • Project-based use of resilience indicators, eco- systems also key. • National climate-sensitive sectoral indicators • Global indices (such as ND GAIN) • National M&E systems often weak and data missing, aggregation, climate data?
  10. 10. 10 Craft and Fisher Bonn, 2016 Implications for effectiveness in the adaptation goal  Practical and light-touch but ambitious?  CRM important (and relatively easy) to track  Effectiveness and adequacy linked to achievement of national adaptation priorities and climatic changes  Important to establish relevant baselines and assess confidence in evidence
  11. 11. 11 Craft and Fisher Bonn, 2016 Ways ahead? Effective indicators relevant to national context Trends or meeting of national targets Climate data/context Level of confidence / data Resilience (short-term) Identify 3-5 for each as linked to national adaptation or climate- sensitive development plans Description of trend using data available and categorising trend: Improvement Stable Decline n/a Could disaggregate results for goal by data quality and level of confidence Climate- sensitive wellbeing indicators (long-term) Relevant context for development trends Worsening hazards, stable, declining, changing Costs to assets, livelihoods and lives

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