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|**Definitions and key terms** \\ Tracking Adaptation and Measuring Development (TAMD) is a 'twin track' framework that evaluates adaptation success as a combination of how: \\ * Widely and how well countries or institutions manage climate risks (Track 1), and \\ * Successful adaptation interventions are in reducing climate vulnerability and in keeping development on course (Track 2). \\ TAMD allows a) assessing the adaptation process at multiple scales – from multiple-country initiatives to local projects; and b) linking Climate Risk Management (CRM), vulnerability and resilience, and broader human wellbeing.|| | |**Definitions and key terms** \\ Tracking Adaptation and Measuring Development (TAMD) is a 'twin track' framework that evaluates adaptation success as a combination of how: \\ * Widely and how well countries or institutions manage climate risks (Track 1), and \\ * Successful adaptation interventions are in reducing climate vulnerability and in keeping development on course (Track 2). \\ TAMD allows a) assessing the adaptation process at multiple scales – from multiple-country initiatives to local projects; and b) linking Climate Risk Management (CRM), vulnerability and resilience, and broader human wellbeing.|| | ||
|**Data and information required to calculate the indicator** \\ * Numerator: Numbers of people (by gender) better able to build resilience to the effects of climate change and variability \\ * Denominator: Total number of people (by gender) affected by climate change and variability effects|| | |**Data and information required to calculate the indicator** \\ * Numerator: Numbers of people (by gender) better able to build resilience to the effects of climate change and variability \\ * Denominator: Total number of people (by gender) affected by climate change and variability effects|| | ||
+ | |**Examples of proxy indicators that projects have adopted, which contribute to global indicator 15** \\ * % households/people having increased knowledge on climate change adaptation practices \\ * % people adopting or applying at least 1 (or 2, or 3) climate resilient agriculture practices promoted by the project \\ * % households/people able to identify at least 3 strategies to adapt to climate change \\ * % households/people using climate information or implementing risk reducing actions to improve resilience to climate change \\ * % of households that have experienced climate-related shocks and did not have to sell household assets (or resort to other negative coping strategies) \\ * % of respondents who have taken actions to protect assets against future climate shocks and stressors \\ **Note:** projects can use other proxy indicators. These are examples of the ones most frequently used.|| | ||
|**Suggested method for data collection** \\ * Primary data collection: household survey \\ * Secondary data analysis \\ * For more information: [[http://pubs.iied.org/pdfs/10100IIED.pdf|http://pubs.iied.org/pdfs/10100IIED.pdf]] \\ * Qualitative methods like focus group discussions and key informants interviews should supplement the quantitative data collection to provide a better understanding of Climate Risk Management activities, resilience initiatives; affected people’s perception of wellbeing in the face of climate change and variability.|| | |**Suggested method for data collection** \\ * Primary data collection: household survey \\ * Secondary data analysis \\ * For more information: [[http://pubs.iied.org/pdfs/10100IIED.pdf|http://pubs.iied.org/pdfs/10100IIED.pdf]] \\ * Qualitative methods like focus group discussions and key informants interviews should supplement the quantitative data collection to provide a better understanding of Climate Risk Management activities, resilience initiatives; affected people’s perception of wellbeing in the face of climate change and variability.|| | ||
|**Possible data sources** \\ * Primary data collection: project household surveys \\ * Secondary data \\ * Local/national/regional weather information systems|| | |**Possible data sources** \\ * Primary data collection: project household surveys \\ * Secondary data \\ * Local/national/regional weather information systems|| |