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Page 18 of 23                                                 Chaib et al. Carbon Footprints 2026, 5, 23





               characterizing the community rather than providing statistically representative estimates for all sub-groups.
               Third, the empirical application is restricted to a single Quilombola territory, which limits direct
               extrapolation of the observed LVI profile, baseline behavior and finance implications to other smallholder or
               traditional-community settings with different socio-ecological configurations.


               Additional limitations arise from the baseline and finance components. As discussed in Section “Accuracy
               assessment and dynamic deforestation baseline”, the annual ex post baseline is more responsive to observed
               deforestation dynamics than multi-year averaging, but this same responsiveness may generate interannual
               variation in baseline levels, credit volumes and expected revenues, which can complicate long-term financial
               planning in community-based projects . Baseline robustness also remains conditional on the stability and
                                                [28]
               classification performance of the adopted land-use product, even when conservative accuracy adjustments
               are applied . In turn, the climate-resilience analysis in Section “Climate-resilience finance” is intentionally
                        [29]
               illustrative: it does not fully internalize certification, transaction, monitoring and organizational costs, and
               therefore likely overstates the share of gross revenues that could be effectively appropriated for livelihood
               recovery and adaptation. The same applies to the regenerative-agriculture component, which is framed as
               exploratory and order-of-magnitude only, rather than as a project-crediting estimate. Taken together, these
               limitations do not invalidate the proposed framework, but indicate that its strongest contribution at present
               lies in structuring a credible and socially targeted entry point for smallholder forest carbon initiatives, rather
               than in offering a fully generalizable or financially complete implementation model.

               CONCLUSION
               The Curiaú case study shows that a vulnerability-based eligibility approach can be effectively operationalized
               within a Quilombola territory in a technically rigorous manner, while maintaining social equity as a central
               component of project design. The application of the Livelihood Vulnerability Indexes confirms Curiaú
               within the moderate vulnerability range according to commonly adopted classifications in the literature,
               while also meeting the module-defined thresholds for social eligibility. The results indicate that this approach
               is particularly suited to smallholder and traditional-community contexts where livelihood vulnerability,
               exposure to climate-related disturbances, and measurable forest-use pressures coexist, as observed in Curiaú,
               provided that a representative household-level survey is available to compose the LVI and that accurate
               high-resolution land-use and land-cover data are available to construct a dynamic baseline. In practical
               terms, this means that the approach is most applicable to forest-oriented communities with predominantly
               conservationist land-use dynamics, where baseline deforestation is limited or absent, but where the
               surrounding reference still presents sufficient deforestation pressure, as in the Amapá state.


               Importantly, the LVIs provide a robust foundation for diagnosis and evaluation of the effectiveness of
               interventions, serving as a baseline against which changes in vulnerability can be tracked through repeated
               assessments over time. These assessments following interventions - such as the implementation of carbon
               credit schemes - can enable the measurement of impacts on community resilience. In this way, the LVIs
               function not only as a diagnostic instrument but also as a framework for assessing additionality and project
               effectiveness.


               Additionally, the construction of an ex post dynamic deforestation baseline using open 10-metre land-cover
               data, independent accuracy assessment and design-based area estimation indicates that high-integrity
               avoided deforestation accounting is feasible in relatively small, heterogeneous landscapes dominated by
               smallholders and traditional communities, such as Quilombola territories. These procedures contribute to
               current debates on the integrity and transparency of baselines for small-scale REDD+-type initiatives. In
               combination with the LVI, the approach is consistent with core additionality and integrity expectations
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