Interactive Dashboard
The LAMA dashboard will serve as a central hub for data visualization, analysis, and interaction. It will incorporate local, sub-national, national, and global indicators related to adaptation, climate, and weather. The platform will facilitate comparative analysis, enabling the co-creation of metrics that align local aspirations with broader adaptation policies and investments. Additionally, the dashboard will showcase impact stories from LLA projects across the continent.
Background
LAMA’s focus on co-producing metrics for planning, financing, implementation and measurement of locally led adaptation with vulnerable groups including the small-scale farmers ensures adaptation strategies directly address their needs.
The LAMA dashboard is designed to facilitate easy access, tracking of progress and interaction of data and information, measurement and reporting on locally led adaptation and associated metrics/indicators. The dashboard is designed to facilitate interaction between data on metrics and relevant stakeholders and inform investment by governments, businesses, and financial institutions to identify and steer investments on LLA in Africa.
Information gathered during the LAMA project will also inform best practices for locally led adaptation and strengthen the foundation for regional monitoring and evaluation. The platform will support learnings across adaptation projects in Africa and build key lessons to inform policy.
In addition, the dashboard focuses on local data and community perspectives, addressing the data gap at the local level and prioritizing the perspectives of vulnerable groups.The data and information on priority metrics presented in the dashboard are vital for informing and refining global metrics for the Global Goal on Adaptation because they reflect the realities at the grassroot levels.
The LAMA dashboard is interactive and potentially influence policymakers and funders to leverage policy options and global climate funding to priority LLAs
Nature of the dashboard
The dashboard entails the following:
- The dashboard entails the local, sub-national, national and global data on metrics for adaptation and climate and weather related data.
- The metrics platform contains priority metrics/ indicators and related data including projected numbers and budgets as presented in the national and sub-national climate change plans and the county/sub-national integrated development plans and climate change plans.
- The dashboard also entails impact stories from the local communities where the LAMA Project is being implemented in Kenya and Benin and it will capture stories from elsewhere as it
- The dashboard allows analysis and visualization of metrics and climate and weather related data and information
Hosting of the dashboard
The dashboard is hosted by ARIN under the LAMA project and it will later be hosted by the AMLA platform to enable other LLAs in Africa to upload relevant data
International partners;
- Adaptation Fund (AF)
- World Bank
- UNFCCC
- Mathematica
- CIAT Biodiversity
- Global Centre on Adaptation (GCA)
- IPAM
- Global Resilience Partnership
Regional partners;
- Africa Development Bank (AFDB)
- Africa Scientific and Innovation Council
- CDKN
- ARA South South North
- Resilience Hub
- Africa Group of Negotiators
Local partners;
- Ministry of Environment, Kenya
- National Treasury, Kenya (Under FLOCCA Program)
- Adaptation Consortium, ADA
- LREB
- ICCA, University of Nairobi.
- Format
The format of the workshop will be inclusive and participatory. It will be held Virtually on the Zoom platform on 23rd August 2024, 3:00pm-4:30pm EAT. It will involve keynote speeches, facilitated discussions, presentations, and plenary sessions.
- Output
Major output from this project is the dashboard showing metrics as highlighted below.
More outputs coming up.
LLA Interventions Database
This component will house information on LLA projects and initiatives implemented across Africa. The database will enable the comparison of lessons learned from different interventions.
Tools and Framework Repository
The platform will provide access to a variety of tools and frameworks employed by different initiatives to assess progress and track indicators.
Adaptation measurement frameworks and Tools
| N° | Adaptation measurement frameworks/Tools | Overview/Description Approach (Qualitative/ Quantitative) of the frameworks/Tools | Developer statut : research/ academy, INGO, UN, Bank, etc | Examples of Indicators/metrics | Application Sectors | Targets (local, national, regional, international), | Source |
|---|---|---|---|---|---|---|---|
| 1 | Adaptation Fund Results Tracker | The Adaptation Fund’s results tracker is a core part of the annual Project Performance Report (PPR).
The results tracker allows the Adaptation Fund to track specific indicators across its portfolio. It includes indicators from both (i) the Adaptation Fund Strategic Results Framework, and (ii) the Fund’s five core indicators. This tool applies both qualitative and quantitative approaches |
UNFCCC financial mecanism | Quantativie indicators :
-Number of beneficiaries (direct and indirect), Number of Early Warning Systems, Assets produced, developed, improved, or strengthened, Increased income, or avoided decrease in income, Natural assets protected or rehabilitated Qualitative indicators : – Relevant threat and hazard information generated and disseminated to stakeholders on a timely basis -Capacity of staff to respond to, and mitigate impacts of, climate-related events from targeted institutions increased -Increase in application of appropriate adaptation responses -Ecosystem services and natural resource assets maintained or improved under climate change and variability-induced stress – Climate change priorities are integrated into national development strategy |
All sectors involved in adaptation | Local, national and regional | Adaptation and UNFCCC websitehttp://www.adaptation-fund.org/ projectsprogrammes/project -performance/ |
| 2 | Operational framework for Tracking Adaptation and Measuring Development (TAMD) of the International Institute for Environment and Development | It assesses the effect of outputs (goods and services provided by adaptation interventions) on outcomes (short-term) and impacts (longer term). The framework provides a twin-track approach that specifically examines climate risk management (track 1) with a focus on institutions, policies and capacities, and adaptation and development performance (track 2). For track 2, focus is on improving resilience and adaptive capacity, and reducing vulnerability, with resilience indicators (level 1) and well-being indicators (level 2). | Research center (IIED) | Indicaotrs should be defined around Climate Risks Management (CRM) indicators, Resilience-type indicators,
Indicators are focused on improving resilience and adaptive capacity, and reducing vulnerability, with resilience indicators (level 1) and well-being indicators (level 2). |
All vulnerable sectors | National and sub-national governments, local and global | https://pubs.iied.org/sites/ default/files/pdfs/migrate/ 10038IIED.pdf |
| 3 | The Race to Resilience Metrics Framework | It aims to catalyse global ambition for climate resilience by actors outside national Governments in order to build the resilience of 4 billion people from vulnerable groups and communities by 2030,. The framework tackles critical challenges in measuring resilience by providing high-level metrics that accommodate multiple definitions of resilience and a broad range of activities | Campaign | Increased resilience of… Goods, services, support or investment provided to… Mobilised campaign members generate…
-Individuals receiving goods or services, Companies receiving goods or services , Countries receiving support or investment, Cities receiving support or investment, Hectares of land or ocean receiving support or investment. USD financing mobilised by initiatives Primary metric, Identified uses of knowledge piece, Peer-reviewed knowledge pieces reviewed, Attributes. |
Focus on urban, rural and coastal impact areas | Individuals, Companies, Cities, Natural systems | https://racetozero.unfccc.int/ wpcontent/uploads/2021/11/ 202111_R2R_Metrics_ framework.pdfhttps://openknowledge.world bank.org/entities/publication/ 9920d826-21e5-5def-898d-8ccb1daaf4a0 |
| 4 | Resilience Rating System | The RRS evaluates the resilience of the project design and resilience through project outcomes. Resilience of the project design (or simply, resilience of the project) is the extent to which a project’s assets have considered climate and disaster risks in their design.
Resilience through project outcomes (or simply, resilience through the project) reflects whether a project’s objective is to enhance the targeted sector’s and beneficiaries’ climate resilience through its interventions |
World Bank | All sectors | |||
| 5 | Stocktaking for National Adaptation Planning | The main purpose of the tool is to improve groundwork activities for NAP. However, it can also be used to monitor adaptation progress and provide an indication of the status quo, target and progress related to each of the seven crucial factors at any point in time.
Both qualitative and quantitative approaches |
GIZ (INGO) | Reduction of flood damage and disaster relief costs in cities due to increased standards for flood protection and improved flood emergency preparedness, Percentage of households at reduced flood risk due to construction of new or enhanced defences, Number of businesses with insurance for extreme weather events, Increase in agricultural productivity through irrigation of harvested land, Percentage of cultivated surface cultivated with less water intensive varieties, etc. | All sector in NAPs | National | https://www.google.com/url?sa =t&rct=j&q=&esrc=s&source= web&cd=&ved=2ahUKEwi1vPb nlYiEAxXgSaQEHc2JA0UQFno ECCYQAQ&url=https%3A%2F %2Fwww.undp.org%2Fsites%2 Fg%2Ffiles%2Fzskgke326%2 Ffiles%2F2022-08%2FStock taking%2520for%2520National %2520Adaptation.pdf&usg= AOvVaw18ECBvPvnv3wZ_ AqBjWEBc&opi=89978449 |
| 6 | Adaptation Monitoring and Assessment Tool” (AMAT) | AMAT will be applied three times during the life of the project (approval, mid-term and completion). As projects and programmes progress, the LDCF/SCCF will have enough data points to reexamine and reassess specific indicators, and integrate changes to improve how portfolio results are tracked for adaptation | GEF | Project and Portefolio level | http://www.thegef.org/gef/ tracking_tool_LDCF_SCCF |
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| 7 | Resilience Index Measurement and analysis Model (RIMA) | The Resilience Index Measurement and Analysis (RIMA) is a model used to measure resilience capacity and effectiveness of resilience-oriented policies in the high profile countries
It provides information on household resilience capacity. Analysis on the relationship between Resilience, Food Security. Analyses of perception of well-being and social inclusion. Quantitative approach |
FAO | -Service closeness (education,health,security) Service satisfaction (transports, water, health) Daily water supply Stable access to water Public water.
– Wealth index, Residential buildings for household use, Animal index, Land lots, Tools and equipments for production. – Subsidies from National Aid Fund (NAF), Public transfers (value), Private transfers (value). – Average years of education, Education level of the Household, Head Dependency Ratio (inverse), Participation index. – Food consumption (pc), Food Consumption Score (FCS) |
Agricultural sector | National, governorate, district and sub-district level (sample weights) | https://www.google.com/ url?sa=t&rct=j&q=&esrc= s&source=web&cd=&ved= 2ahUKEwimuavjmYiEAxV STqQEHTCkBIIQFnoECB wQAQ&url=https%3A%2F %2Fdata.unhcr.org%2Fen %2Fdocuments%2Fdownload %2F59589&usg=AOvVaw0Q3 I_EfAvz5QYJv3KGdbp9&opi =89978449 |
| 8 | Community Based Resilience Assessment ( CoBRA) | CoBRA helps identify both contextual and more universal characteristics of resilience. Findings are instrumental in informing the ongoing region-wide efforts to develop measurable composite resilience indicators of change.
Using qualitative, process-oriented tools, CoBRA intends to identify the key building blocks of community resilience and assesses the attribution of various development/humanitarian interventions in attaining these resilience characteristics |
UNDP Drylands Development Centre (DDC) | Access to all weather roads, % of households with electricity supply, % of households with year round access to clean water, Water storage, reserve capabilities, Crop storage, reserve capacity, % time quality pasture available, quality of rangeland management, Rate of deforestation, % of households with woman and marginalized groups involved in local planning processe, Extent of natural tree cover, Households undertaking reforestation activities, etc. | All sectors of vulnerability | Local, community level, national, regional. | https://www.google.com/ url?sa=t&rct=j&q=&esrc= s&source=web&cd=&ved= 2ahUKEwjqyMDywYmEAx XoaqQEHdOIAbgQFnoEC AwQAQ&url=https%3A%2F %2Fwww.undp.org%2Fsites %2Fg%2Ffiles%2Fzskgke326 %2Ffiles%2Fmigration%2F nairobi_gc_red%2FCoBRRA _Conceptual_Framework.pdf &usg=AOvVaw0AH3LYcLB8p KGqT31DWI8F&opi=89978449 |
| 9 | Monitoring Instrument for Resilience (MIR) | The instrument offers a flexible process to support those wishing to track resilience and can accommodate the diverse meanings given to the related concepts of adaptive capacity and resilience, and the highly context-specific factors that enhance or reduce resilience.
The judicious use of indicators is considered to be an important part of this monitoring and evaluation efforts; enabling planners and practitioners to improve their efforts by adjusting processes and targets. The approach proposed within the instrument closely links Indicators of resilience to its operational definition: the ability to absorb and recover from the occurrence of change, stresses and shocks. It is also important that the instrument is flexible enough to be used in varied contexts, and this is reflected in the indicator options. |
CGIAR Research Program | The ultimate indicators measure the extent to which components of the system of interest are impacted and the speed of recovery of those components, in relation to the magnitude of the change, stresses or shocks.
The proposed monitoring instrument has three indicator categories: – Capacity of people to adapt (People) – Enhanced livelihoods and farm functioning (Livelihood and Farm Systems) – Ecosystem services that foster resilience (Ecosystems). Example : Level of farmer participation in awareness raising/training, demonstrated knowledge of practices that improve individual and household resilience, and/or access to practices, Level of awareness of risks by leaders, and commitment to the planning and implementation of solutions |
Mostly in agricultural sector including water and natural resources | Project/Programme, local, national and regional level | https://cgspace.cgiar.org/ bitstreams/0c017d23-156d -4c42-8f1a-243e6aa139e2/ download |
| 10 | Tracking Adaptation in agriculture Sector (TAAS) | Tracking Adaptation in Agricultural Sectors (TAAS) is a flexible and consistent indicator framework for tracking adaptation in agricultural sectors (crops, livestock, forestry, fisheries and aquaculture) at national level. FAO’s adaptation indicators framework aims to support country compliance with Articles 7 and 13 of the Paris Agreement, and helps monitoring the progress of adaptation activities at national level and reporting and sharing the information widely. | FAO | The indicator-based methodology consists of four major categories of indicators, reflecting both the local and national context: natural resources, agricultural production systems, socio-economics and institutions and policy | Agricultural sector | Local and national | |
| 11 | Adaptation Made To Measure (AMM) | ||||||
| 13 | Participatory Monitoring, Evaluation, Reflection and Learning (PMERL) for Community-Based Adaptation (CBA) | It is a guide aimed to promote participatory monitoring, evaluation, reflection and learning processes, in particular for shorter-term community-based adaptation projects and initiatives. The aims of the manual are to: ´ develop participatory strategies to help groups and organizations involved in community-based adaptation projects or action plans assess their effectiveness in achieving their objectives; ´ develop location-specific, community-based indicators to measure success in community-based adaptation; ´ monitor changes in local situations to inform community-based adaptation planning.
It applies qualitative and quantitative approaches |
CARE International
(INGO) |
Indicators are defined with community-based adaptation process | Sector link to community participation in adaptation process | Local and national level | |
| 14 | The “Making Adaptation Count” framework | It provides a system to monitor and evaluate adaptation interventions based on a theory of change. The framework addresses both process and outcome monitoring, and can be applied at different levels. | World Resource Institute (WRI), research center | https://www.wri.org/research/ making-adaptation-count |
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| 15 | The results framework developed for the Pilot Program for Climate Resilience (PPCR) | The revised PPCR results framework has 11 (5 core and 6 optional) instead of 22 indicators covering resilient development planning, adaptive capacity, decision making, and innovative investment approaches to reflect the expected transformation process in PPCR countries | The Climate Investment Fund (CIF) | For the five PPCR core indicators, two of which are to be applied at the national level while the other three at the project/programme level | All sectors | National | https://www.climateinvestment funds.org/cif/content/revised -ppcr-results- |
| 16 | The “Self-evaluation and Holistic Assessment of Climate Resilience of Farmers and Pastoralists” (SHARP) | This tool is an instrument to assess the climate resilience of smallholder farmers and pastoralists. It provides data to assist scientists and policymakers in their efforts to reduce the risks associated with climate change.
SHARP supports projects in improving the resilience of farmers and herders as to safeguard their way of life, preserve their local indigenous knowledge and improve the livelihoods of their communities. A technical review of the tool was conducted in 2017, resulting in an improved tool: SHARP+. |
FAO | Agricultural sector | Project, programme, community and national level | https://www.fao.org/in-action/sharp/en/ |
Stakeholder Engagement Platform
A comprehensive stakeholder database will be maintained, including individuals and organizations involved in adaptation at both project and policy levels. These stakeholders will form the LAMA Engagement Group, convening regularly to share insights on adaptation measurement. The expert group will synthesize these findings into knowledge products and advisories.
Metrics Expert Group
Composed of ten experts from diverse backgrounds (including the African Group of Negotiators, research, private sector, government, and local communities), this group will consolidate best practices and indicators. The expert group will also play a crucial role in linking local metrics to national and international frameworks, supporting the African Group of Negotiators’ contributions to the Global Goal on Adaptation, and informing IPCC assessments.