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Project Indicators
INDICATORS ON PROJECT RESULTS
| Indicator | Target | Baseline | Value | Source of verification |
|---|---|---|---|---|
| A: Coordinated sharing of data, information and analyses from agricultural and landuse sub-sectors in a manner that facilitates ETF processes, reports | ETF-relevant data, within agriculture and land-use sectors are shared | Data not shared | 0 | Status of the National Climatechange Monitoring Framework (NCCMF); ETF reporting |
| B: CBIT Tracking Tool Indicator 5: Qualitative assessment of institutional capacity for transparency-related activities | 3 | 2 | 0 | Status of the National Climatechange Monitoring Framework (NCCMF) |
| C: ETF readiness in terms of institutional and human capacities | Measurable increases in readiness level | Low level | 0 | AFOLU readiness assessment (final report) |
| E: Degree of engagement with other sectors | Agriculture and land-use sectors contributing to ETF capacities in other sectors | None | 0 | Project reporting; attendance records; presentations/ reports submitted |
| F: Degree of engagement with regional and global ETF counterparts | Agriculture/land-use sectors contributing to ETF capacities regionally/globally | Minimal contribution | 0 | Project reporting; attendance records; presentations/ reports submitted |
| G: AFOLU CCM component of CBIT Tracking Tool Indicator 3: Quality of MRV systems | 6 | 3 | 0 | IPCC MRV assessment tool; MRV portal functionality |
| H: Availability of formal, adopted metadata parameters and QC protocols for agricultural and landuse sub-sectors | Endorsed and adopted by relevant stakeholders | None | 0 | NCCMF; publication of protocols; formal endorsements of relevant stakeholders |
| I: Sufficiency of technical and human capacities to enact CCM-related QC protocols for agricultural and landuse sub-sectors | High for all stakeholders with direct relevance to the NCCMF protocols | Very low | 0 | Training records; procurement records; outcomes of pilots |
| J: Availability of formal, adopted metadata parameters and QC protocols for CCA in the agricultural and landuse sub-sectors | Endorsed and adopted by relevant stakeholders | None | 0 | NCCMF; publication of protocols; formal endorsements of relevant stakeholders |
| K: Sufficiency of technical and human capacities to enact CCA-related QC protocols for agricultural and landuse sub-sectors | High for all stakeholders with direct relevance to the NCCMF protocols | Very low | 0 | Training records; procurement records; outcomes of pilots |
Project Implementation
STATUS OF PROJECT OUTPUTS AND ACTIVITIES
1.1. Institutional arrangements for coordinating information and data from the agriculture and land use sectors into ETF processes and reports enhanced.
1.1.1. Assessment prepared on institutional, data-collection, analysis, and reporting capacity gaps and needs for meeting the requirements of the ETF with specific focus on the priority NDC actions for the agricultural and land-use sectors.
1.1.1.1. Validate and, as needed, refine the AFOLU stakeholder-coordination mapping.
90%
1.1.1.2. Validate and, as needed, refine the AFOLU MRV assessment.
90%
1.1.2. AFOLU MRV coordination mechanism strengthened, integrating relevant authorities from agricultural and land-use sectors into national UNFCCC reporting processes.
1.1.2.1. Strengthen or expand existing relevant AFOLU MRV technical working committees and establish new ones as needed.
80%
1.1.2.2. Establish a network of regional advisors responsible for ETF-related activities for the
AFOLU sector.
AFOLU sector.
80%
1.1.2.3. Capacitate and equip key stakeholders to facilitate ETF transition and management.
80%
1.1.2.4. Establish an MRV Help Desk.
80%
1.1.2.5. Emplace long-term or open-ended multi-party MOUs for relevant data-sharing.
80%
1.1.2.6. Enhance CEPA's online portal for ETF-related information.
80%
1.1.3. National Climate-change Monitoring Framework for the agricultural and land-use sectors prepared and adopted.
1.1.3.1. Publish a National Climate-change Monitoring Framework for ETF-aligned measurement, reporting, and verification for the agricultural and land-use sectors.
80%
1.1.4. National reports reflect the latest ETF guidance.
1.1.4.1. National ETF-related reports submitted with improved alignment to the latest UNFCCC AFOLU MRV guidance and improved data for NDC-relevant emissions-reductions activities
100%
1.1.4.2. Section included in national ETF-related reports covering climate-change impacts and
adaptation-related activities in accordance with NDC commitments for the AFOLU sector.
adaptation-related activities in accordance with NDC commitments for the AFOLU sector.
100%
1.2. Inter-sectoral, national, and international engagement strengthened regarding ETF-related processes.
1.2.1. Multi-sectoral strategy and coordination mechanism strengthened integrating relevant authorities, data, and information systems into national UNFCCC reporting processes.
1.2.1.1. Identify opportunities for inter-sectoral efficiencies and reduced redundancies in measurement and primary data storage
80%
1.2.1.2. Ensure that AFOLU data-sharing processes are integrated with broader inter-sectoral
and national coordination for data-sharing.
and national coordination for data-sharing.
80%
1.2.2. AFOLU MRV/ ETF lessons learned captured and up-scaled nationally and internationally.
1.2.2.1. Stakeholder feedback solicited regarding successes and suggestions for improvement.
60%
1.2.2.2. AFOLU MRV best practices shared with other sectors.
60%
1.2.2.3. Contribute to efforts via the CBIT global projects to share and up-scale relevant AFOLU
MRV best practices and lessons learned.
MRV best practices and lessons learned.
60%
2.1. Strengthened capacity to measure GHG emissions, removals, and emission-reduction activities from agricultural and land-use sectors.
2.1.1. Quality-control (QC) protocols established for regular, systematic measurement of emissions, removals, and emission-reduction activities in the agricultural and land-use sectors.
2.1.1.1. Establish meta-data parameters.
90%
2.1.1.2. Establish QC protocols for collecting, managing, and archiving data.
90%
2.1.1.3. Estimate resource requirements and sources for initial and sustained support (e.g.,
technology, personnel, funding, etc.).
technology, personnel, funding, etc.).
90%
2.1.1.4. Draft AFOLU ETF data-provision guidelines.
90%
2.1.2. Information technology systems upgraded to integrate, analyze, and archive diverse data types.
2.1.3. Capacity and technology upgraded in relevant institutions to strengthen mitigation-related MRV, including country-specific emissions factors, activity data, and Tier 2 reporting for key sub-categories in the agricultural and land-use sectors. (Coordinates with 3.1.3.).
2.1.3.1. Provide relevant stakeholders with the equipment and software necessary for decentralized data collection, storage, and uploading in line with data-provision guidelines (see 2.1.1.4).
70%
2.1.3.2. Produce training materials, including materials for training of trainers, for QC and associated technologies.
70%
2.1.3.3. Conduct training of relevant stakeholders, including training of trainers, to enable
measurements in line with data-provision guidelines (see 2.1.1.4).
measurements in line with data-provision guidelines (see 2.1.1.4).
70%
2.1.4. Relevant measures validated and piloted for key mitigation sub-categories in the agricultural and land-use sectors.
2.1.4.1. Improve and update land-use activity data to facilitate reporting in accordance with the National Climate-change Monitoring Framework (Output 1.1.3).
90%
2.1.4.2. Review relevant research literature to determine or update provisional Tier 2 estimates where possible and conduct uncertainty assessments for estimates in key sub-categories.
90%
2.1.4.3. Conduct pilot tests of measurement protocols and revise protocols as needed.
90%
2.1.4.4. Conduct preliminary validations of proxy measures.
90%
3.1. Strengthened capacity to measure climate-change impacts, vulnerabilities, and adaptation-related
activities in the agricultural and land-use sectors.
activities in the agricultural and land-use sectors.
3.1.1. Measurement framework developed for climate-change impacts, vulnerabilities, and adaptation related activities prioritized in the NDC for the agricultural and land-use sectors.
3.1.1.1. Assessment of relevant good practices for methods and frameworks.
60%
3.1.1.2. Establish meta-data parameters.
60%
3.1.1.3. Establish QC protocols for collecting, managing, and archiving data.
60%
3.1.1.4. Estimate resource requirements and sources for initial and sustained support (e.g. technology, personnel, funding, etc.).
60%
3.1.1.5. Draft related data-provision guidelines.
60%
3.1.2. Information technology systems upgraded to integrate and analyze adaptation-related data.
3.1.3. Capacity and technology upgraded in relevant institutions to strengthen M&R for adaptation
priorities identified in the NDC for the agricultural and land-use sectors.
priorities identified in the NDC for the agricultural and land-use sectors.
3.1.3.1. Provide relevant stakeholders with the equipment and software necessary for decentralized data collection, storage, and uploading in line with data-provision guidelines (see 3.1.1.5).
40%
3.1.3.2. Produce training materials, including materials for training of trainers, for QC and
associated technologies.
associated technologies.
40%
3.1.3.3. Conduct training of relevant stakeholders, including training of trainers, to enable
measurements in line with data-provision guidelines (see 3.1.1.5).
measurements in line with data-provision guidelines (see 3.1.1.5).
40%
3.1.4. Relevant measures validated and piloted for adaptation priorities identified in the NDC for the agricultural and land-use sectors.
3.1.4.1. Review relevant research literature to determine provisional estimates where possible and conduct uncertainty assessments for estimates for key indicators.
50%
3.1.4.2. Conduct pilot tests of measurement protocols and revise protocols as needed.
50%
3.1.4.3. Conduct preliminary validations of proxy measures.
50%