Appendix D: NbS Rating Methodology --- Full Specification

This appendix provides the complete, fully specified NbS rating methodology referenced throughout the main report. It consolidates the design principles, scoring tables, aggregation formula, rating scale, and assessment process into a single reference document suitable for adoption by independent rating agencies, bank internal sustainability teams, or government assessment bodies. All thresholds, weights, and procedures are disclosed in full, ensuring transparency, reproducibility, and independent verifiability.


1. Overview and Purpose

1.1 Gap Addressed

The ratings gap analysis in Section 3 (Layer 2) of this report established that existing carbon credit rating agencies --- Sylvera, BeZero Carbon, Calyx Global, and Verra's Nature Framework --- provide comprehensive coverage of carbon integrity dimensions (additionality, permanence, leakage, over-crediting) but leave ecosystem extent, ecosystem condition, biodiversity, water regulation, soil health, social outcomes, and economic asset value largely unassessed [1]. This creates a structural mismatch between what is measured (carbon tonnes) and what NbS projects deliver (multi-dimensional ecological, social, and economic value). A bank marketing an NbS Impact Term Deposit on the basis of nature-positive outcomes cannot rely on carbon-only ratings to substantiate those claims.

This methodology fills that gap by providing a standardised, multi-domain assessment framework that produces an alphanumeric rating covering environmental integrity, social outcomes, and economic viability in a single composite score.

1.2 Design Principles

Six principles govern the methodology's architecture, each responding to a specific constraint identified in the research:

  1. Scalability across all eight NbS typologies. The methodology accommodates the full range of NbS project types identified in Layer 1 --- from REDD+ concessions to seagrass restoration --- by anchoring indicators to SEEA EA account structures that are ecosystem-type-agnostic by design [2].

  2. SEEA EA compatibility. Every indicator maps to a defined SEEA EA account type, ensuring that data collected for rating purposes can be directly incorporated into national ecosystem accounting programmes [2].

  3. TNFD LEAP alignment. The data inputs required for each assessment domain map directly to TNFD LEAP phases (Locate, Evaluate, Assess, Prepare), enabling banks to use NbS rating data as a primary input to entity-level TNFD disclosures without duplicative data collection [3].

  4. Alphanumeric output recognisable to credit analysts. The rating output fits within the cognitive framework of banking professionals trained in credit analysis, modelled on familiar S&P/Moody's rating conventions [4].

  5. Transparency, reproducibility, and independent verifiability. All scoring thresholds and weighting parameters are fully specified and publicly disclosed. Any qualified assessor can apply the methodology to the same project and arrive at the same rating, given the same input data.

  6. Forward compatibility with ISSB nature standards. The indicator set aligns with the disclosure categories anticipated under the ISSB's Research Project on Biodiversity, Ecosystems and Ecosystem Services, with an exposure draft expected in October 2026 [5].

1.3 Relationship to Existing Frameworks

Framework Relationship to NbS Rating Methodology
SEEA EA Foundation: all indicators are mapped to SEEA EA account types (extent, condition, services, monetary asset)
TNFD LEAP Data compatibility: rating inputs feed directly into Locate, Evaluate, Assess, and Prepare phases
ISSB IFRS S1/S2 Forward-compatible: rating metrics align with anticipated nature disclosure requirements under ISSB's forthcoming biodiversity standard
IUCN NbS Standard Conceptual alignment: the Social Domain's governance and rights sub-indicators reflect IUCN Criteria 5 (inclusive governance) and 6 (equitable outcomes) [6]
Existing carbon rating agencies Complementary: the NbS rating is layered on top of existing carbon ratings, not a replacement for them

2. Assessment Domain: Environmental (Weight: 50%)

The Environmental Domain carries the greatest weight because the ecological performance of an NbS project is the foundational determinant of its value as a nature-based solution. A project that delivers strong financial returns but fails to maintain or restore ecosystem health is, by definition, not a credible NbS intervention. Three sub-indicators, each mapped to a distinct SEEA EA account type, comprise this domain.

2.1 Ecosystem Extent Change

SEEA EA mapping: Ecosystem Extent Account

Definition: Measures the net change in the total area of the target ecosystem type within the project boundary over the assessment period (typically 12 months for annual ratings; longer periods for initial assessments of multi-year projects).

Calculation: Net Change (%) = [(Closing Extent - Opening Extent) / Opening Extent] x 100

Additions include hectares restored through active planting, natural regeneration, and hydrological rehabilitation. Reductions include hectares lost through conversion, degradation below ecosystem-type threshold, encroachment, fire, or natural disturbance.

Scoring Table

Score Threshold Description Data Source Verification
5 Net increase in ecosystem extent of 10% or greater Substantial expansion: the project is actively and measurably expanding the area of the target ecosystem, demonstrating strong restoration or regeneration capacity. Satellite imagery (Sentinel-2 or equivalent, 10 m resolution); high-resolution commercial imagery for heterogeneous sites; ground-truthing at minimum 30 points per 1,000 ha. Independent geospatial analysis by accredited assessor; field verification of classification accuracy; photographic documentation of boundary changes.
4 Net increase of 5.0% to 9.9% Significant expansion: meaningful ecosystem area gains are occurring, though at a rate below the highest threshold. As above. As above.
3 Net increase of 1.0% to 4.9% Moderate expansion: the project is demonstrating positive extent change, but gains are incremental. As above. As above.
2 0% (no net change; extent maintained) Maintained: the project has prevented any net loss of ecosystem extent but has not achieved measurable expansion. Appropriate for conservation-focused projects where the counterfactual is loss. Satellite monitoring; annual boundary survey. Geospatial analysis confirming no net area loss; comparison with deforestation/degradation rates in the surrounding landscape to confirm conservation effort.
1 Net loss in ecosystem extent (any magnitude) Decline: the project has experienced a net reduction in ecosystem area, whether through management failure, encroachment, natural disturbance, or other causes. Satellite monitoring; incident reports. Analysis of cause of loss (managed vs. unmanaged); documentation of corrective actions taken.

Typology-specific notes:

2.2 Ecosystem Condition Index

SEEA EA mapping: Ecosystem Condition Account

Definition: Measures the health or quality of the ecosystem relative to a reference condition, using biotic and abiotic indicators aggregated into a composite condition index normalised on a 0--1 scale. A score of 1.0 represents reference condition (the best available condition for the ecosystem type in the same biogeographic region); 0.0 represents complete degradation.

Calculation of Composite Condition Index (ECI):

  1. Select indicators appropriate to the ecosystem type (see indicator tables below).
  2. For each indicator, measure the current value at the project site.
  3. For each indicator, identify the reference value from the best available reference site in the same biogeographic region.
  4. Normalise each indicator: Indicator Score = Current Value / Reference Value, bounded at 0.0 and 1.0.
  5. Calculate the ECI as the arithmetic mean of all normalised indicator scores.

Scoring Table

Score Threshold Description
5 Condition index of 0.80 or above Near-reference condition: the ecosystem is functioning at or close to its natural state, with only minor deviation from reference benchmarks across indicators. This score is expected primarily for well-managed conservation projects with long operational histories or for mature restoration projects (10+ years).
4 Condition index of 0.60 to 0.79 Good condition: the ecosystem shows substantial ecological recovery or integrity, with most indicators approaching reference values. Some indicators may remain below reference, but no critical functions are impaired.
3 Condition index of 0.40 to 0.59 Moderate condition: the ecosystem is in an intermediate state between degraded and healthy. Some indicators are recovering while others remain substantially below reference. Active management is producing measurable improvements.
2 Condition index of 0.20 to 0.39 Poor condition: the ecosystem remains substantially degraded, with most indicators well below reference values. Recovery has commenced but remains at an early stage, or recovery has stalled.
1 Condition index below 0.20 Severely degraded: the ecosystem is in a critically degraded state with minimal ecological function. The project has either failed to initiate recovery or is experiencing active deterioration.

Indicators by NbS Typology

The following indicator sets define the condition assessment for each of the eight NbS typologies. A minimum of six indicators (at least two biotic, two abiotic, and one landscape-level) must be assessed for each project. Additional indicators may be included where data are available.

Forests (Typologies 1--3: Avoided Deforestation, Reforestation, IFM)

Indicator Group Indicator Unit Measurement Method
Biotic Canopy cover % Satellite imagery (NDVI threshold); hemispherical photography
Biotic Basal area m2/ha Forest inventory plots (minimum 20 plots per 1,000 ha)
Biotic Species richness (tree species) Count per plot Botanical inventory in permanent sample plots
Biotic Large tree density (DBH > 50 cm) Stems/ha Forest inventory
Abiotic Soil organic carbon (0--30 cm) tC/ha Soil coring and laboratory analysis
Abiotic Leaf litter depth cm Field measurement in inventory plots
Landscape Forest patch size (largest contiguous) ha Satellite-derived land cover classification
Landscape Connectivity index 0--1 scale Spatial analysis of habitat connectivity to adjacent forested areas

Mangrove (Typology 6)

Indicator Group Indicator Unit Measurement Method
Biotic Canopy height m LiDAR; field measurement at permanent plots
Biotic Stem density Stems/ha Plot-based inventory
Biotic Species richness (mangrove spp.) Count Botanical survey
Biotic Crab burrow density Burrows/m2 Quadrat survey in intertidal zone
Biotic Juvenile fish abundance Individuals/100 m2 Underwater visual census; trap netting
Abiotic Sediment accretion rate mm/yr Sediment elevation tables (SETs); marker horizons
Abiotic Tidal connectivity (hydroperiod) % of reference Water level loggers; comparison with reference site
Abiotic Water quality (turbidity) NTU Field sampling; automated sensors
Landscape Mangrove patch size ha Satellite-derived mapping (Sentinel-1 SAR for cloud-free detection)
Landscape Shoreline connectivity km Coastal mapping; comparison with reference coastline

Peatland (Typology 7)

Indicator Group Indicator Unit Measurement Method
Biotic Vegetation cover % Satellite imagery; drone surveys
Biotic Peat-forming species cover % Botanical survey of sphagnum and associated species
Biotic Bird species richness Count Point-count surveys; acoustic monitoring
Abiotic Water table depth cm below surface Piezometer network (minimum 1 per 100 ha in rewetted areas)
Abiotic Peat depth m Auger-based measurement at fixed monitoring points
Abiotic Peat subsidence rate mm/yr Survey-grade differential GPS measurement at benchmarks
Abiotic Dissolved organic carbon in outflow mg/L Water sampling at drainage outlets
Landscape Hydrological unit integrity % of drainage network blocked Spatial analysis of canal blocking progress
Landscape Fire scar area (preceding 12 months) ha Satellite-based burn area mapping (MODIS, VIIRS)

Agroforestry (Typology 4)

Indicator Group Indicator Unit Measurement Method
Biotic Tree density Stems/ha Farm-level inventory
Biotic Canopy complexity (multi-strata index) 0--1 scale Vertical profile measurement; hemispherical photography
Biotic Crop diversity (Shannon index) Index value Farm survey of cultivated species
Biotic Pollinator abundance Individuals per transect Standardised pollinator transect walks
Abiotic Soil organic carbon (0--30 cm) % Soil coring and laboratory analysis
Abiotic Soil aggregate stability % water-stable aggregates Laboratory analysis of soil samples
Landscape Tree cover in surrounding landscape % within 1 km buffer Satellite-derived land cover classification
Landscape Hedgerow/boundary connectivity km per ha Field mapping; drone imagery

Soil Carbon Management (Typology 5)

Indicator Group Indicator Unit Measurement Method
Biotic Earthworm density Individuals/m2 Soil pit sampling
Biotic Soil microbial biomass carbon mg C/kg soil Laboratory analysis (fumigation-extraction)
Biotic Ground cover % Quadrat-based assessment; drone imagery
Abiotic Soil organic carbon (0--30 cm) % Soil coring (minimum 20 samples per 100 ha)
Abiotic Bulk density g/cm3 Core-based measurement
Abiotic Water-holding capacity mm/m depth Laboratory analysis
Landscape Crop rotation diversity at landscape level Number of distinct crops in 3-year rotation Farm survey; regional land use data

Seagrass / Coral Reef (Typology 8)

Indicator Group Indicator Unit Measurement Method
Biotic Seagrass shoot density Shoots/m2 Underwater quadrat survey
Biotic Coral cover % Photo-quadrat analysis; line-intercept transect
Biotic Fish species richness Count per transect Underwater visual census
Biotic Indicator species presence Binary (present/absent) for each species Targeted survey for specified indicator species
Abiotic Water clarity (Secchi depth) m Field measurement
Abiotic Water temperature (annual range) Degrees C Continuous temperature loggers
Abiotic Nutrient levels (dissolved inorganic nitrogen, phosphate) ug/L Water sampling and laboratory analysis
Landscape Meadow/reef patch size ha Satellite imagery (shallow water); side-scan sonar
Landscape Connectivity to adjacent habitats 0--1 scale Spatial analysis of proximity to mangrove, reef, or open-ocean habitats

2.3 Ecosystem Services Delivery

SEEA EA mapping: Ecosystem Service Supply and Use Account (Physical)

Definition: Measures the flow of ecosystem services generated by the project site as a percentage of the services that would be delivered by the same area in reference condition. This percentage-of-reference approach ensures cross-ecosystem comparability: a mangrove delivering 65% of its reference services and a peatland delivering 65% of its reference services are scored equivalently.

Calculation:

  1. Identify the relevant ecosystem services for the project's ecosystem type (see service list below).
  2. For each service, estimate the reference-condition flow (the flow that would be expected from the same area in reference condition, based on published literature, reference site measurements, or modelled estimates).
  3. For each service, measure or model the current flow from the project site.
  4. Calculate the percentage of reference for each service: Current Flow / Reference Flow x 100.
  5. Calculate the aggregate percentage as the arithmetic mean across all assessed services.

Scoring Table

Score Threshold Description
5 Delivering 80% or more of reference-condition services Near-full service delivery: the ecosystem is providing most of the services that would be expected from an intact, well-functioning ecosystem of the same type.
4 Delivering 60% to 79% of reference-condition services Strong service delivery: the majority of ecosystem services are being provided at significant levels, though some services (typically provisioning or cultural) remain below reference due to ecosystem immaturity.
3 Delivering 40% to 59% of reference-condition services Moderate service delivery: the ecosystem is providing meaningful but incomplete services. Regulating services (carbon, water) typically recover before provisioning (fisheries, timber) and cultural (recreation) services.
2 Delivering 20% to 39% of reference-condition services Limited service delivery: only basic ecosystem functions are being provided. The ecosystem is in early recovery or remains substantially impaired.
1 Delivering less than 20% of reference-condition services Minimal service delivery: the ecosystem is providing negligible services, indicating either a very early stage of restoration or ongoing degradation.

Service categories by ecosystem type:

NbS Typology Key Regulating Services Key Provisioning Services Key Cultural Services
Forest (all typologies) Carbon sequestration, water regulation, erosion control, pollination Timber, NTFP (honey, rattan, medicinal plants), genetic resources Recreation, spiritual/sacred sites, educational value
Mangrove Carbon sequestration, coastal protection, water purification, nursery habitat Fisheries (fish, shrimp, crab), NTFP (nipa palm, honey) Eco-tourism, educational value, cultural heritage
Peatland Carbon storage (avoided emissions), water regulation, fire risk reduction, air quality Paludiculture products, fish from rewetted areas Educational/research value
Agroforestry Carbon sequestration, pollination, pest regulation, soil fertility maintenance, microclimate regulation Crops (coffee, cacao, fruit), timber thinning, NTFP Aesthetic value, agri-tourism
Soil Carbon Soil formation, water purification, nutrient cycling, flood regulation Crop production (enhanced yields from improved soil health) Agricultural heritage, educational value
Seagrass / Coral Carbon sequestration (seagrass), coastal protection, water purification, nursery habitat Fisheries (reef fish, invertebrates) Dive tourism, recreation, scientific research

3. Assessment Domain: Social (Weight: 25%)

The Social Domain assesses whether the NbS project generates positive outcomes for the communities that depend on or are affected by the ecosystem. This domain reflects the IUCN Global Standard for NbS, which requires that NbS deliver societal benefits through inclusive, transparent governance and equitable benefit-sharing [6]. Three sub-indicators comprise this domain.

3.1 Community Outcomes

Definition: Measures the proportion of target households (those within or adjacent to the project area) that experience measurable improvement in livelihoods, food security, health, or other well-being indicators attributable to the project.

Data requirements: Household surveys (structured questionnaire administered to a statistically representative sample of target households, minimum sample size of 10% of target households or 100 households, whichever is larger); baseline survey at project commencement; follow-up surveys at annual intervals; comparison with control communities where feasible.

Scoring Table

Score Threshold Description
5 80% or more of target households report measurable improvement in at least one well-being dimension (income, food security, health, access to resources) Transformative impact: the project has generated widespread, measurable benefits for the large majority of affected households. Evidence must demonstrate attribution to the project (not merely correlation with external economic trends).
4 60% to 79% of target households report measurable improvement Strong impact: substantial community benefit with clear evidence of project contribution. Some households may not have been reached or may have experienced neutral outcomes.
3 40% to 59% of target households report measurable improvement Moderate impact: meaningful benefits for a significant minority of households, but coverage is incomplete. The project is generating positive outcomes but has not yet reached the majority of the target population.
2 20% to 39% of target households report measurable improvement Limited impact: benefits are concentrated among a subset of households, potentially reflecting uneven access to project activities or benefits.
1 Fewer than 20% of target households report measurable improvement, or no community assessment conducted Negligible or unmeasured impact: either the project has failed to generate community benefits, or the project sponsor has not conducted the assessments necessary to demonstrate outcomes. Failure to conduct assessments is scored the same as negligible impact, creating an incentive for monitoring and transparency.

Well-being dimensions: Income (from project employment, ecosystem product sales, benefit-sharing payments); food security (dietary diversity, meal frequency, access to protein from project-associated fisheries or agriculture); health (reduction in waterborne disease, respiratory illness from reduced burning, occupational safety); access to resources (clean water, sustainable energy, transport infrastructure improved by the project).

3.2 Rights and Governance

Definition: Composite assessment of the project's compliance with Free, Prior and Informed Consent (FPIC) protocols, the security of land tenure arrangements, the transparency and functionality of benefit-sharing mechanisms, and the quality of governance structures.

Data requirements: FPIC documentation review (consent records, meeting minutes, community agreements); land tenure analysis (title documents, lease agreements, government gazettals, customary tenure recognition); benefit-sharing mechanism review (contracts, payment records, community fund accounts); governance structure assessment (board composition, meeting records, grievance mechanism records, publicly available documents).

Scoring Table

Score Description
5 Full compliance and best practice. FPIC conducted, documented, and independently verified for all affected communities, including Indigenous Peoples where present. Land tenure is secure (long-term title, gazetted protected area, or recognised customary tenure) for all communities within and adjacent to the project area. Transparent benefit-sharing mechanism is in operation with documented payments to community beneficiaries. Accessible grievance mechanism is operational with documented case resolutions. Governance structures include community representation in decision-making bodies with evidence of community input materially influencing project decisions.
4 Substantial compliance with minor gaps. FPIC conducted with minor procedural gaps (e.g., incomplete documentation for some smaller communities, but no evidence of consent being withheld). Land tenure is largely secure with minor residual uncertainties. Benefit-sharing mechanism is established and operational. Governance structures are functional with community participation.
3 Partial compliance with material gaps. FPIC process occurred (consultation was conducted) but documentation is incomplete or consent was obtained after project activities had already commenced. Land tenure arrangements are in progress but not yet fully secured. Benefit-sharing commitments have been made but are not yet fully operational (e.g., fund established but no payments disbursed). Governance structures exist on paper but community participation is limited in practice.
2 Limited compliance with significant deficiencies. Consultation occurred but fell short of FPIC standards (e.g., information provided was inadequate, consent was not sought from all affected groups, or the process was rushed). Land tenure is contested or unresolved. No formal benefit-sharing mechanism exists, though informal benefits may accrue (e.g., employment). Governance is opaque with minimal community input.
1 Non-compliant. No community consultation or FPIC process conducted. Land tenure is insecure, disputed, or the project operates without clear legal basis on community or Indigenous lands. No benefit-sharing mechanism. No grievance mechanism. Governance is entirely top-down with no community participation. Evidence of human rights concerns (forced displacement, restriction of access to traditional resources, intimidation).

3.3 Livelihood Diversification

Definition: Measures the number of distinct income streams created or materially enhanced by the project for participating communities. A diverse income base increases community resilience to economic shocks and reduces dependence on any single revenue source (including the NbS project itself).

Data requirements: Livelihood assessment surveys; enumeration of income-generating activities by type and number of participating households; comparison with pre-project livelihood profile.

Scoring Table

Score Threshold Description
5 Three or more distinct income streams created or materially enhanced Diversified impact: the project has created a broad portfolio of livelihood opportunities. Examples include sustainable aquaculture, eco-tourism employment, carbon credit revenue sharing, agroforestry product sales, handicraft production from sustainably harvested materials, and NTFP value chains.
4 Two distinct income streams created or materially enhanced Significant diversification: the project has introduced or strengthened multiple livelihood pathways.
3 One new income stream created, with evidence of community uptake Basic diversification: at least one new livelihood opportunity has been created and is being accessed by community members.
2 Existing income streams maintained but no new streams created Neutral: the project has not disrupted existing livelihoods but has not created new ones. This score is appropriate for conservation projects that maintain rather than expand livelihood options.
1 Income streams reduced or disrupted by the project Negative impact: the project has restricted or eliminated livelihood activities (e.g., banning fishing in newly protected areas without providing alternative livelihoods, restricting forest access without benefit-sharing).

Distinct income streams: An income stream is classified as "distinct" if it derives from a different economic activity and does not merely represent a variation of an existing livelihood. For example, a farmer who adds cacao production to existing coffee production and also receives carbon credit revenue payments has two new income streams (cacao and carbon revenue), even if both relate to the same agroforestry plot.


4. Assessment Domain: Economic (Weight: 25%)

The Economic Domain assesses the financial viability and value-for-money of the NbS project, ensuring that depositor capital is allocated to projects with credible economic foundations. This domain is anchored to the monetary accounts of SEEA EA. Three sub-indicators comprise this domain.

4.1 Financial Viability

SEEA EA mapping: Monetary Ecosystem Asset Account

Definition: Assesses the project's net present value (NPV) and revenue model diversity, evaluating whether the project is financially sustainable over its intended lifetime.

Data requirements: Financial model with projected revenues and costs over the project lifetime; NPV calculation using a 5% real discount rate (with sensitivity at 3% and 8%); revenue source enumeration; stress testing under adverse scenarios (e.g., 30% carbon price decline, 50% reduction in most volatile revenue stream).

Scoring Table

Score Threshold Description
5 Positive NPV with three or more diversified revenue streams under base-case assumptions, and NPV remains positive under stress scenario Highly viable: the project has a robust financial foundation with multiple revenue sources providing resilience against single-market shocks. The stress test confirms viability even under adverse conditions. Revenue streams may include carbon credits, biodiversity credits, payments for ecosystem services (e.g., watershed protection contracts), sustainable product sales (timber, fisheries, NTFP, coffee, cacao), eco-tourism, and government subsidies or results-based payments.
4 Positive NPV with two revenue streams, or positive NPV with three streams but marginal under stress scenario Viable: the project demonstrates financial sustainability under base-case conditions. Revenue concentration in two streams creates moderate risk, but overall viability is not in question under normal market conditions.
3 Breakeven or marginally positive NPV with concentrated revenue sources (single or dual revenue streams) Marginally viable: the project can cover its costs but generates minimal surplus. Dependence on a single revenue stream (typically carbon credits) creates vulnerability to market price movements.
2 Negative NPV under base case but viable under optimistic assumptions with concessional support Sub-viable without concessions: the project requires below-market financing, grant support, or concessional capital to achieve financial breakeven. This is common for early-stage NbS projects that have not yet developed secondary revenue streams.
1 Negative NPV under all scenarios; project financially unviable without perpetual subsidy Unviable: the project cannot sustain itself financially under any reasonable scenario and depends on indefinite external subsidy for continued operation.

4.2 Cost-Effectiveness

Definition: Benchmarks the project's costs against sector comparators, measuring cost per hectare of ecosystem condition improvement and cost per tonne of CO2-equivalent sequestered or avoided.

Data requirements: Total project costs (capital and operating, annualised); ecosystem condition improvement (change in ECI multiplied by project area in hectares); carbon outcome (tonnes CO2e sequestered or avoided per year); sector benchmarks from published literature and comparable project databases.

Sector benchmarks (indicative; updated annually from published sources):

NbS Typology Median Cost per Hectare of Condition Improvement (US$/ha/ECI unit) Median Cost per tCO2e (US$/tCO2e) Source
REDD+ (avoided deforestation) 15--30 5--15 Verra VCS project database; Ecosystem Marketplace [7]
Reforestation / ARR 800--2,500 15--40 Gold Standard; Roe et al. (2019) [8]
Mangrove restoration 2,000--8,000 10--35 Bayraktarov et al. (2016); Narayan et al. (2016) [9]
Peatland rewetting 200--1,500 3--12 IUCN Peatland Programme; BRG Indonesia cost data [10]
Agroforestry 500--2,000 20--60 Nair et al. (2009) [11]
Soil carbon management 50--300 30--100 Minasny et al. (2017) [12]
Seagrass restoration 5,000--25,000 50--200 Bayraktarov et al. (2016) [9]

Scoring Table

Score Threshold Description
5 Cost per hectare of condition improvement AND cost per tCO2e both below sector median Highly cost-effective: the project achieves ecological outcomes at below-average cost on both dimensions, indicating efficient use of capital.
4 One cost metric below sector median, the other at or near median (within 20% above) Cost-effective: the project is performing well on one dimension and acceptably on the other.
3 Both cost metrics at sector median (within 20% above or below) Average cost-effectiveness: the project's costs are in line with sector norms.
2 One cost metric above sector median (more than 20% above) Below-average cost-effectiveness: the project is less efficient than peers on one dimension, suggesting potential for cost optimisation.
1 Both cost metrics significantly above sector median (more than 50% above) Poor cost-effectiveness: the project is substantially more expensive than comparable interventions, raising questions about management efficiency or site suitability.

4.3 Financial Additionality

Definition: Assesses whether the project would have proceeded in the absence of the specific financing provided through the NbS banking product. This indicator ensures that depositor capital generates marginal impact rather than displacing existing funding.

Data requirements: Analysis of the project's funding sources and commitments prior to the NbS financing; counterfactual assessment (what would have happened without this financing); review of project sponsor statements and financial records; assessment of availability of alternative financing.

Scoring Table

Score Threshold Description
5 Clearly additional: no alternative financing available; project would not proceed without this investment Full additionality: the project has no other committed or available funding sources, and the NbS banking product is the necessary and sufficient condition for project implementation. The project sponsor can demonstrate through financial records and market analysis that alternative financing was sought but not available.
4 Likely additional: alternative financing theoretically available but not secured; this investment is the proximate cause of implementation High additionality: while some alternative financing options may exist in theory (e.g., government grant programmes, other development finance), none has been committed, and the NbS banking product is the financing source that triggers project commencement or expansion.
3 Partially additional: some alternative funding committed but insufficient to cover full project costs Moderate additionality: the project has partial funding from other sources (e.g., a government grant covering initial costs) but requires the NbS financing to achieve full implementation, scale-up, or continued operation beyond the initial grant period.
2 Marginally additional: majority of funding available from other sources; this investment accelerates but does not enable the project Low additionality: the project would likely proceed in some form without the NbS financing, but the banking product accelerates the timeline, enables expansion to additional areas, or improves the quality of implementation.
1 Not additional: project fully funded from other sources; investment displaces rather than enables No additionality: the project is already fully funded and would proceed on the same timeline and at the same scale regardless of the NbS banking product. The NbS financing merely displaces other committed capital.

5. Aggregation Formula

5.1 Domain Score Calculation

Within each domain, sub-indicator scores are averaged to produce the domain score:

5.2 Composite Score Calculation

Composite Score = (Environmental Domain Score x 0.50) + (Social Domain Score x 0.25) + (Economic Domain Score x 0.25)

The composite score ranges from a minimum of 1.00 (all domains score 1) to a maximum of 5.00 (all domains score 5).

5.3 Weight Rationale

The 50/25/25 weighting reflects three considerations:

  1. Ecological primacy: A project cannot be a credible nature-based solution if its environmental performance is poor, regardless of social and economic outcomes. The 50% weight ensures that the composite score is anchored by ecological reality.

  2. Social and economic materiality: Social outcomes (community welfare, rights, governance) and economic viability (financial sustainability, cost-effectiveness, additionality) each receive 25%, sufficient to meaningfully differentiate projects within the same environmental performance band and to prevent projects with strong ecological but poor social or economic outcomes from receiving top-tier ratings.

  3. Alignment with IUCN NbS Standard: The IUCN Global Standard for NbS requires that NbS "effectively address societal challenges" (Criteria 1--2), "are determined by site-specific natural and cultural contexts" (Criterion 4), and "provide equitable governance" (Criterion 5) [6]. The 25% weight on the Social Domain ensures that these requirements are materially reflected in the rating.


6. Rating Scale

6.1 Primary Rating Bands

Composite Score Rating Description Investment Eligibility
4.50 -- 5.00 NbS-AAA Exceptional: outstanding performance across all three domains with no material gaps. The project demonstrates near-reference ecosystem condition, comprehensive community benefits, and a highly viable economic model. Eligible for NbS deposit pool; qualifies for enhanced impact reporting.
4.00 -- 4.49 NbS-AA Very Strong: high performance across domains with only minor gaps in one area. The project is delivering substantial ecological, social, and economic outcomes. Eligible for NbS deposit pool.
3.50 -- 3.99 NbS-A Strong: solid performance across all domains; clear net positive outcomes. The project meets or exceeds expectations on most indicators but may have one domain with room for improvement. Eligible for NbS deposit pool.
3.00 -- 3.49 NbS-BBB Adequate: meets minimum acceptable standards across all domains. The project demonstrates credible ecological outcomes, acceptable social performance, and baseline economic viability. Investment-grade threshold. Eligible for NbS deposit pool (minimum eligible rating). Projects at NbS-BBB warrant enhanced monitoring.
2.50 -- 2.99 NbS-BB Below Standard: significant gaps in one or more domains. The project may have strong performance in one area offset by material weakness in another. Not eligible for ring-fenced NbS deposit pool. Eligible for bank technical assistance and advisory programmes.
2.00 -- 2.49 NbS-B Weak: material deficiencies across multiple domains. The project requires substantial remediation to achieve investment-grade status. Not eligible for NbS deposit pool.
1.50 -- 1.99 NbS-CCC Very Weak: fails to meet basic standards on most indicators. Ecological recovery is minimal, community outcomes are negligible, and the project lacks a viable economic model. Not eligible for NbS deposit pool. Rating triggers review of project viability.
1.00 -- 1.49 NbS-D Non-performing: project failure, abandonment, or severe ecological degradation. The ecosystem is in worse condition than at project commencement, or the project has ceased operations. Not eligible for NbS deposit pool. Rating triggers immediate remediation or exit.

6.2 Modifier System (+/-)

Within each primary rating band, +/- modifiers indicate position relative to the band:

The modifier system applies to all bands except NbS-AAA (which has no + modifier, as 5.00 is the ceiling) and NbS-D (which has no - modifier, as 1.00 is the floor).

Complete rating scale with modifiers and score ranges:

Rating Score Range
NbS-AAA 4.84 -- 5.00
NbS-AAA- 4.50 -- 4.83
NbS-AA+ 4.35 -- 4.49
NbS-AA 4.15 -- 4.34
NbS-AA- 4.00 -- 4.14
NbS-A+ 3.84 -- 3.99
NbS-A 3.67 -- 3.83
NbS-A- 3.50 -- 3.66
NbS-BBB+ 3.34 -- 3.49
NbS-BBB 3.17 -- 3.33
NbS-BBB- 3.00 -- 3.16
NbS-BB+ 2.84 -- 2.99
NbS-BB 2.67 -- 2.83
NbS-BB- 2.50 -- 2.66
NbS-B+ 2.34 -- 2.49
NbS-B 2.17 -- 2.33
NbS-B- 2.00 -- 2.16
NbS-CCC+ 1.84 -- 1.99
NbS-CCC 1.67 -- 1.83
NbS-CCC- 1.50 -- 1.66
NbS-D+ 1.17 -- 1.49
NbS-D 1.00 -- 1.16

7. Worked Examples

7.1 Worked Example A: Mangrove Restoration --- Vietnam, Mekong Delta

Project description: A community-led mangrove restoration project covering 2,400 hectares in Ca Mau and Ben Tre provinces, Mekong Delta, Vietnam. The project commenced in 2018 and combines mangrove replanting on degraded aquaculture ponds with sustainable shrimp-mangrove co-management, eco-tourism development, and blue carbon credit generation under VCS methodology VM0033. The project is sponsored by a Vietnamese environmental NGO in partnership with the provincial government and supported by a GIZ technical assistance grant for initial planting. Operational for five years at the time of assessment.

Environmental Domain

Sub-Indicator Raw Data Score Rationale
Extent Change Net increase of 12.4% in total mangrove area (from 850 ha to 955 ha) over 5 years 5 Exceeds the 10% threshold for the highest score. Increase driven by active replanting (180 ha) and natural regeneration (60 ha), partially offset by 15 ha of coastal erosion loss.
Condition Index Composite ECI of 0.64 (up from 0.23 at baseline). Biotic indicators: canopy height 62% of reference, stem density 66%, species richness 64%. Abiotic indicators: sediment accretion 74% of reference, tidal connectivity 82%. Landscape: patch size 36% of reference, shoreline connectivity 57%. 4 Falls within the 0.60--0.79 range (Good condition). Strong biotic and abiotic recovery; landscape indicators lagging.
Services Delivery Aggregate service delivery at 62% of reference condition. Carbon sequestration at 65%, coastal protection at 66%, fisheries at 53%, NTFP at 42%, eco-tourism at 38%. 4 Falls within the 60--79% range. Regulating services recovering strongly; provisioning and cultural services still developing.

Environmental Domain Score: (5 + 4 + 4) / 3 = 4.33

Social Domain

Sub-Indicator Raw Data Score Rationale
Community Outcomes 80% of 1,200 target households report measurable income improvement (sustainable aquaculture, eco-tourism employment) and food security improvement (increased fisheries productivity). 5 Meets the 80% threshold for the highest score. Attribution confirmed by comparison with control communities in neighbouring districts.
Rights & Governance FPIC documented across 7 affected communes with consent records. Land tenure secure under provincial government allocation. Benefit-sharing distributes 40% of carbon credit revenue to households. Grievance mechanism operational with 12 documented resolutions in 2023. Minor procedural gaps in FPIC documentation for 2 smaller communes. 4 Substantial compliance with minor gaps. The two communes with incomplete FPIC documentation were late additions to the project area.
Livelihood Diversification Three new income streams: (1) sustainable shrimp-mangrove co-cultivation, (2) eco-tourism guide employment, (3) carbon credit revenue sharing. These supplement existing fishing livelihoods. 5 Three or more distinct income streams created.

Social Domain Score: (5 + 4 + 5) / 3 = 4.67

Economic Domain

Sub-Indicator Raw Data Score Rationale
Financial Viability Positive NPV of US$5.2 million at 5% discount rate. Two primary revenue streams (blue carbon credits at US$375K/yr and sustainable aquaculture at US$280K/yr). Third stream (eco-tourism at US$125K/yr) is emerging. Under stress scenario (30% carbon price decline), NPV remains positive at US$2.1 million. 4 Positive NPV with two established revenue streams and one emerging. Stress-test positive. Does not meet the three-established-streams threshold for score 5.
Cost-Effectiveness Total annualised project cost: US$520,000. Cost per hectare of condition improvement: US$1,310/ha/ECI unit (below sector median of US$3,500 for mangrove restoration). Cost per tCO2e: US$41.60 (near sector median of US$25 for mangrove restoration). 4 One metric below median (cost per hectare), one near median (cost per tCO2e).
Financial Additionality GIZ grant funded initial planting (years 1--2). Ongoing management, monitoring, and expansion to 2,400 ha depend on carbon credit revenues and NbS bank loan facility. Project would not have expanded beyond the 600 ha pilot without NbS financing. 4 Likely additional: GIZ provided initial capital, but NbS financing was the proximate cause of scale-up from 600 to 2,400 ha.

Economic Domain Score: (4 + 4 + 4) / 3 = 4.00

Composite Score: (4.33 x 0.50) + (4.67 x 0.25) + (4.00 x 0.25) = 2.165 + 1.168 + 1.000 = 4.33

Rating: NbS-AA (composite score 4.33 falls within the NbS-AA band of 4.15--4.34)

Rationale: This project achieves a Very Strong rating by combining robust ecological recovery (12.4% extent expansion, condition trajectory improving from 0.23 to 0.64) with widespread community benefits (80% of households improved, three new income streams) and a viable economic model. The rating reflects the project's integrated mangrove-livelihood approach rather than its carbon performance alone. Under a carbon-only rating framework, the project's below-reference fisheries and tourism outcomes would not be captured, and its exceptional community impact would be invisible.


7.2 Worked Example B: Peatland Rewetting --- Indonesia, Central Kalimantan

Project description: A peatland rewetting and fire prevention project covering 18,000 hectares in the former Mega Rice Project area of Central Kalimantan, Indonesia. Drainage canals installed in the 1990s have caused severe peat degradation and recurrent fire. The project involves canal blocking to raise water table levels, community-based fire prevention patrols, and paludiculture (cultivation of wet-adapted crops on rewetted peat) as an alternative livelihood. Sponsored by an Indonesian conservation foundation with technical support from the former Peatland and Mangrove Restoration Agency (BRGM). Operational for four years at the time of assessment.

Environmental Domain

Sub-Indicator Raw Data Score Rationale
Extent Change 0% net change. Peatland extent maintained at 18,000 ha. Canal blocking has stabilised hydrological boundaries. No new peat formation documented; no loss from fire or conversion in assessment period. 2 Maintained extent, no net loss. For a peatland conservation project where the counterfactual is continued degradation and fire-driven loss, maintaining extent is a meaningful achievement, but the scoring framework applies consistently.
Condition Index Composite ECI of 0.55. Water table rose from 80 cm to 35 cm below surface in areas near blocked canals (70% of reference). Vegetation cover at 45% of reference. Bird species richness at 55% of reference. But peat subsidence continues in areas where water table remains below 40 cm. Fire scar area reduced by 85% relative to pre-project average. 3 Falls within the 0.40--0.59 range (Moderate condition). Significant water table recovery in targeted areas; vegetation and biodiversity recovery lagging.
Services Delivery Aggregate at 50% of reference. Carbon emission avoidance substantial (2.3 million tCO2e avoided from prevented peat oxidation and fire). Water regulation partially restored. Provisioning services limited (paludiculture trial phase). Biodiversity below reference. 3 Falls within the 40--59% range. Strong carbon avoidance performance offset by limited provisioning and cultural services.

Environmental Domain Score: (2 + 3 + 3) / 3 = 2.67

Social Domain

Sub-Indicator Raw Data Score Rationale
Community Outcomes 60% of 3,500 target households report improvement, primarily through fire patrol employment (450 community members employed) and initial paludiculture income. Households previously reliant on illegal logging or drainage-based agriculture experienced income disruption during transition. 4 Falls within the 60--79% range. Strong for a project involving land-use transition with inherent short-term livelihood disruption.
Rights & Governance FPIC conducted but incomplete: communities in the eastern portion consulted after canal blocking commenced. Land tenure complex with overlapping customary and government claims. Benefit-sharing functional for fire patrol employment but paludiculture revenue-sharing not yet operational. 3 Partial compliance with material gaps. The sequencing issue (canal blocking before FPIC completion) is a significant procedural gap.
Livelihood Diversification Two new income streams: (1) fire prevention patrol employment (regular wages), (2) early-stage paludiculture (sago palm, jelutung). Paludiculture not yet generating consistent income. Existing traditional livelihoods (fishing in peat swamp channels) maintained. 3 One established stream (fire patrols) and one emerging stream (paludiculture). Does not fully qualify as two established streams.

Social Domain Score: (4 + 3 + 3) / 3 = 3.33

Economic Domain

Sub-Indicator Raw Data Score Rationale
Financial Viability NPV marginal at US$0.8 million under base case. Primary revenue from carbon credits (avoided emissions from peat fire prevention). Paludiculture revenues projected but not yet materialised. Under stress (30% carbon price decline), NPV turns negative at -US$1.2 million. 3 Breakeven/marginally positive NPV with concentrated revenue (carbon only). Stress test reveals vulnerability.
Cost-Effectiveness Cost per hectare of condition improvement: US$650/ha/ECI unit (above median of US$500 for peatland rewetting, reflecting extensive canal network). Cost per tCO2e: US$4.10 (well below median of US$8 for peatland projects, reflecting very high carbon volumes from fire prevention). 4 One metric below median (cost per tCO2e, driven by large carbon volumes), one above (cost per hectare, driven by engineering costs).
Financial Additionality Clearly additional: no alternative financing was available for peatland rewetting at this scale in Central Kalimantan. The former BRGM provided technical support but not financial support. The NbS bank loan was the only committed funding source for canal blocking at the project's scale. 5 Full additionality: project would not have proceeded without this specific financing.

Economic Domain Score: (3 + 4 + 5) / 3 = 4.00

Composite Score: (2.67 x 0.50) + (3.33 x 0.25) + (4.00 x 0.25) = 1.335 + 0.833 + 1.000 = 3.17

Rating: NbS-BBB (composite score 3.17 falls within the NbS-BBB band of 3.17--3.33)

Rationale: This project sits at the investment-grade threshold. Its Environmental Domain score is held down by the absence of extent expansion and the still-degraded condition of much of the peat area, but its high financial additionality and meaningful social outcomes bring it above the NbS-BBB minimum. The project's trajectory is critical: if continued rewetting raises water tables across a larger area and paludiculture generates consistent revenue, the next reassessment could see an upgrade to NbS-BBB+ or NbS-A-. Conversely, if fire events damage the project area or paludiculture fails, a downgrade to NbS-BB would trigger removal from the ring-fenced deposit pool.


7.3 Worked Example C: Agroforestry --- Philippines, Bukidnon Province, Mindanao

Project description: An agroforestry project covering 1,800 hectares in upland municipalities of Bukidnon province, Mindanao, where smallholder farmers have integrated timber and fruit tree species (mahogany, narra, cacao, coffee) into previously monoculture maize and sugarcane plots. The project operates under a Community-Based Forest Management Agreement (CBFMA) with the Department of Environment and Natural Resources (DENR) and generates revenue from diversified agricultural products, emerging carbon credits, and watershed protection payments from the downstream National Power Corporation hydroelectric facility. Sponsored by a registered People's Organisation (cooperative) with 850 member households. Operational for six years at the time of assessment.

Environmental Domain

Sub-Indicator Raw Data Score Rationale
Extent Change Net increase of 8% in tree-covered area over the assessment period. Agroforestry canopy has expanded beyond initial planting boundaries through natural regeneration on adjacent fallow land. Tree cover increased from 420 ha to 454 ha within the 1,800 ha project area. 4 Falls within the 5.0--9.9% range. Strong expansion reflecting both active planting and natural regeneration.
Condition Index Composite ECI of 0.61. Above-ground biomass increased significantly. Soil organic carbon rose by 1.2% across sampled plots. Bird species richness increased from 12 to 28 species. However, the agroforestry system is structurally simpler than reference upland forest: lower canopy height (8.2 m vs. 22 m reference), reduced understorey complexity, limited deadwood. 4 Falls within the 0.60--0.79 range. Good condition relative to reference. The structural difference from natural forest is inherent to agroforestry systems and is appropriately captured through the condition indicators.
Services Delivery Aggregate at 45% of reference-condition services. Carbon sequestration progressing (4.2 tCO2e/ha/yr). Water regulation improved (reduced run-off at downstream gauging stations). Provisioning services strong (diversified agricultural output exceeding reference forest in provisioning value). Habitat connectivity limited. Cultural services minimal. 3 Falls within the 40--59% range. The agroforestry system delivers differently from reference forest: stronger provisioning, weaker habitat and cultural services. The percentage-of-reference metric appropriately captures this.

Environmental Domain Score: (4 + 4 + 3) / 3 = 3.67

Social Domain

Sub-Indicator Raw Data Score Rationale
Community Outcomes 70% of 850 participating households report measurable income improvement (diversified crop revenues, reduced input costs from improved soil fertility). Food security improved through dietary diversification. 4 Falls within the 60--79% range. Strong performance driven by the integrated livelihood model.
Rights & Governance CBFMA provides secure 25-year renewable tenure. People's Organisation (registered cooperative) provides governance structure with elected leadership, quarterly general assemblies, and published financial statements. FPIC conducted with three Indigenous Peoples communities (Talaandig, Higaonon, Bukidnon) within the project area with documented consent. Benefit-sharing through cooperative dividend mechanism. 4 Substantial compliance. The CBFMA tenure instrument, cooperative governance, and documented FPIC with Indigenous communities represent strong performance.
Livelihood Diversification Four distinct income streams operational: (1) cacao and coffee sales (processed at community-owned fermentation and drying facility), (2) fruit tree products (durian, lanzones, jackfruit) sold at provincial markets, (3) timber thinning revenues (mahogany and narra thinnings at year 5+), (4) watershed protection payments from National Power Corporation under a negotiated PES agreement (US$45,000/yr). Carbon credit revenues are emerging as a fifth stream. 5 Four established income streams, exceeding the three-stream threshold. The diversity of revenue sources --- agricultural, timber, PES, and emerging carbon --- provides strong community resilience.

Social Domain Score: (4 + 4 + 5) / 3 = 4.33

Economic Domain

Sub-Indicator Raw Data Score Rationale
Financial Viability Positive NPV of US$3.8 million at 5% discount rate. Four established revenue streams provide resilience. Under stress scenario (30% decline in cacao/coffee prices and loss of carbon revenue), NPV remains positive at US$1.4 million due to timber thinning and PES revenues. 5 Positive NPV with four diversified revenue streams. Stress-test positive. The combination of agricultural, timber, PES, and carbon revenues creates a resilient economic model.
Cost-Effectiveness Total annualised cost: US$380,000. Cost per hectare of condition improvement: US$620/ha/ECI unit (well below sector median of US$1,200 for agroforestry). Cost per tCO2e: US$50.30 (above sector median of US$35 for agroforestry, reflecting slower carbon sequestration in early years). 4 One metric well below median (cost per hectare), one above (cost per tCO2e). The high cost per tCO2e reflects the agroforestry model's emphasis on livelihood co-benefits over pure carbon efficiency.
Financial Additionality Partially additional. The CBFMA and DENR technical support would have enabled some agroforestry adoption on approximately 600 ha. The NbS bank loan financed: (1) the community processing facility (US$180,000), (2) the carbon credit MRV system (US$95,000), and (3) the expansion from 600 to 1,800 ha. Without the NbS financing, the project would have remained at 600 ha without processing capacity or carbon credit revenues. 3 Moderate additionality: the NbS financing enabled scale-up and value addition (processing facility, MRV) but did not enable the underlying agroforestry concept, which was supported by government programmes.

Economic Domain Score: (5 + 4 + 3) / 3 = 4.00

Composite Score: (3.67 x 0.50) + (4.33 x 0.25) + (4.00 x 0.25) = 1.835 + 1.083 + 1.000 = 3.92

Rating: NbS-A (composite score 3.92 falls within the NbS-A band of 3.67--3.83; note: 3.92 is in the NbS-A+ range of 3.84--3.99)

Corrected Rating: NbS-A+ (composite score 3.92 falls within the upper third of the NbS-A band)

Rationale: This project achieves a Strong+ rating through the integration of community livelihoods with ecosystem recovery. Its Environmental Domain score (3.67) is lower than the mangrove project because agroforestry systems inherently deliver lower ecosystem services as a percentage of reference natural forest. However, the methodology appropriately weights this against the exceptional social outcomes (four income streams, cooperative governance, FPIC with Indigenous communities) and the robust economic model (stress-test-positive with four revenue sources). Under a carbon-only framework, this project's modest sequestration rate (4.2 tCO2e/ha/yr) would yield a mediocre rating, entirely missing the livelihood transformation and biodiversity gains that make it a strong NbS investment.


8. Rating Process

8.1 Who Conducts the Rating

The NbS rating may be conducted by:

  1. Accredited independent rating agency. An independent entity accredited under the methodology's quality assurance framework to conduct NbS ratings. Accreditation requires demonstrated competence in ecological assessment (at least two staff members with postgraduate qualifications in ecology, environmental science, or equivalent), financial analysis (at least one staff member with qualification or demonstrated experience in project finance or environmental economics), and social impact assessment (at least one staff member with qualification or experience in community development, social safeguards, or Indigenous rights). The agency must demonstrate independence from the project sponsor (no financial interest, no consulting relationship, no shared board members).

  2. Bank internal sustainability team. The bank's own sustainability or environmental risk assessment team may conduct NbS ratings using the published methodology, provided the team meets the competency requirements above and the rating is subject to internal quality review by a separate unit (e.g., risk management or compliance). Internal ratings are appropriate for preliminary assessments and portfolio monitoring but should be supplemented by independent external ratings for new project origination and for annual verification.

  3. Government assessment body. National or sub-national government agencies with SEEA EA accounting capacity may conduct NbS ratings as part of their ecosystem accounting programmes, particularly where NbS projects contribute to national biodiversity targets or climate commitments.

8.2 Data Collection Requirements

Phase Duration Activities Outputs
Desk review 2--4 weeks Review project documentation: Project Design Document, monitoring reports, verification statements, financial records, community engagement records, land tenure documents, FPIC records. Analyse satellite imagery time series for extent and condition proxies. Review published literature on reference conditions for the project's ecosystem type and bioregion. Preliminary scoring for all indicators based on available documentation. Identification of data gaps requiring field verification.
Field verification 1--2 weeks (on-site) Ground-truth satellite-derived extent classifications. Conduct or review ecological condition surveys (vegetation plots, soil sampling, water quality, biodiversity transects). Meet with project management team. Conduct community consultations (focus groups with representative households; interviews with community leaders and grievance mechanism users). Inspect benefit-sharing records and governance documentation. Visit reference site(s). Field-verified data for all indicators. Community consultation records. Photographic and GPS documentation.
Analysis and scoring 2--3 weeks Calculate all indicator values, normalise condition indicators against reference values, compute domain scores and composite score, assign rating. Draft rating report with full rationale for each indicator score. Draft rating report and proposed rating.
Quality review 1--2 weeks Internal peer review of the draft rating by a senior analyst not involved in the field assessment. Review of scoring consistency with precedent ratings for comparable projects. Resolution of any disagreements between field assessor and reviewer. Final rating report.
Total timeline 6--11 weeks

8.3 Rating Committee Process

For independent rating agencies, the final rating is determined by a Rating Committee comprising:

The Rating Committee reviews the rating report, challenges the lead assessor's scoring and rationale, and votes on the final rating. A majority vote is required for the rating to be issued. Dissenting opinions are recorded in the committee minutes (confidential; available to the bank on request).

8.4 Appeal and Review Mechanisms

8.5 Update Cycle

Activity Frequency Trigger
Full rating assessment (desk review + field verification) Every 2 years Scheduled cycle
Interim update (desk-based, using satellite monitoring and updated financial data) Annual (in years between full assessments) Scheduled cycle
Event-driven review As required Fire, flood, or other disturbance affecting > 5% of project area; rating downgrade by carbon credit rating agency; material change in project sponsor or management; community complaint or grievance; regulatory enforcement action
Rating withdrawal As required Project ceases operations; project sponsor defaults on obligations; project area converted to non-NbS use

The two-year full assessment cycle balances the need for rigorous field verification with the cost of on-site assessment. Annual interim updates use satellite monitoring data and updated financial records to flag material changes that might trigger an event-driven review. This dual-cadence approach ensures that ratings remain current without imposing annual field verification costs on all projects.


References

[1] Appendix B of this report: NbS Rating Agency Comparative Analysis. See also Section 3 (Layer 2: NbS Ratings Gap Analysis).

[2] United Nations et al., System of Environmental-Economic Accounting --- Ecosystem Accounting (SEEA EA), White Cover Publication (New York: United Nations, 2021).

[3] Taskforce on Nature-related Financial Disclosures, Recommendations of the Taskforce on Nature-related Financial Disclosures (September 2023), Annex 4: The LEAP Approach.

[4] Standard & Poor's, "S&P Global Ratings Definitions," RatingsDirect, revised January 2024.

[5] ISSB, "ISSB Work Plan 2024--2026: Research Project on Biodiversity, Ecosystems and Ecosystem Services," IFRS Foundation, September 2023.

[6] IUCN, IUCN Global Standard for Nature-based Solutions: A User-Friendly Framework for the Verification, Design and Scaling Up of NbS, 1st edition (Gland: IUCN, 2020).

[7] Ecosystem Marketplace, State of the Voluntary Carbon Markets 2023 (Washington, D.C.: Forest Trends, 2023).

[8] Roe, S., Streck, C., Obersteiner, M., et al. (2019). "Contribution of the land sector to a 1.5C world." Nature Climate Change, 9, 817--828.

[9] Bayraktarov, E., Saunders, M.I., Abdullah, S., et al. (2016). "The cost and feasibility of marine coastal restoration." Ecological Applications, 26(4), 1055--1074. Narayan, S., Beck, M.W., Reguero, B.G., et al. (2016). "The effectiveness, costs and coastal protection benefits of natural and nature-based defences." PLOS ONE, 11(5), e0154735.

[10] IUCN, Peatland Rewetting and Conservation: A Global Review of Costs and Benefits (Gland: IUCN, 2021). Indonesia Peatland and Mangrove Restoration Agency (BRGM), Annual Report 2022 (Jakarta: BRGM, 2023).

[11] Nair, P.K.R., Kumar, B.M., Nair, V.D. (2009). "Agroforestry as a strategy for carbon sequestration." Journal of Plant Nutrition and Soil Science, 172(1), 10--23.

[12] Minasny, B., Malone, B.P., McBratney, A.B., et al. (2017). "Soil carbon 4 per mille." Geoderma, 292, 59--86.