Terrascope’s engagement began with a detailed gap analysis against the SBTi FLAG criteria and GHG Protocol LSR Guidance. The team reviewed MWG’s internal FLAG methodology documentation, identified areas of methodological differences, and validated all emission factors and assumptions against peer-reviewed datasets. In parallel, Terrascope conducted a sensitivity analysis comparing MWG’s estimates with those derived from commodity- and country-specific emissions data sourced from ecoinvent, one of the most widely recognized life cycle inventory databases. Terrascope’s review focused on identifying opportunities to strengthen the methodological integrity and long-term applicability of MWG’s FLAG emissions model. While MWG’s approach had already received positive feedback from external reviewers, including the SBTi, Terrascope was brought in to enhance its accuracy, specificity, and future readiness.
Figure 1: How Terrascope helped Mandai Wildlife Group structure its
FLAG measurement approach
One improvement area identified was in the use of geography-specific land use change (LUC) assumptions. MWG’s model initially generalized LUC emissions to broad regional categories, which, while acceptable under current thresholds, could lead to under- or over-estimations as the organization’s emissions profile evolves. Terrascope recommended a shift toward country- and commodity-specific sourcing assumptions, unlocking more precise attribution of LUC emissions — particularly for higher-risk commodities like beef, poultry, and coffee.
Terrascope’s team then developed a set of actionable recommendations, including a transition to automated FLAG emissions disaggregation using tagged emission factors. This would allow MWG to generate commodity-specific FLAG profiles, accurately allocate LUC emissions to co-products (e.g., soy oil, soy husk), and appropriately exclude wild-caught seafood. Terrascope also outlined how to break down FLAG emissions into land use change, land management (CO₂ and non-CO₂), and removals categories, supporting compliance with the latest SBTi guidance.
The result was not just a more refined emissions model, but also a clearer roadmap for scaling FLAG emissions management over time — helping MWG demonstrate leadership in transparent, science-based climate reporting.
The Impact
Within one week of project initiation, Mandai Wildlife Group gained actionable insights to further improve the accuracy of its FLAG emissions data. MWG is now better positioned to enhance emissions transparency, prepare for SBTi FLAG validation, and pursue more sustainable sourcing strategies.
In the long term, implementing Terrascope’s recommendations, such as integrating third-party emissions factor databases (EFDBs) and automating data processing tasks, will reduce the manual workload for MWG’s sustainability team and enable faster identification of high-risk commodities. As construction activities wind down and FLAG emissions begin accounting for a greater share of its total footprint, MWG remains on track to meet its climate goals and demonstrate leadership in biodiversity-driven climate action.