Cotton's blind spot: why DCF commitments must go beyond deforestation

Deforestation- and conversion-free commitments are now standard practice across soy, palm oil, and cattle. Cotton is next, and most companies sourcing it are not ready. The traceability infrastructure, monitoring systems, and supplier engagement frameworks that credible DCF requires are largely absent from cotton supply chains today.

Part of what makes cotton different is the nature of its risk. Unlike commodities where deforestation is the dominant concern, cotton production degrades soil quality over time until it becomes unusable, pushing farming into grasslands, savannahs, and wetlands that a deforestation-only commitment simply doesn't cover. The Accountability Framework Initiative (AFi) defines this as conversion: the loss of any natural ecosystem through replacement with agriculture, regardless of whether it was forested land.

For companies with DCF (deforestation, conversion, and forest degradation) commitments, that distinction matters. A policy scoped only to forests can leave the majority of cotton's land-use impact unaddressed, and increasingly, that gap is one that regulators, investors, and auditors will notice.

Existing certifications don’t fill this gap

The Better Cotton Initiative, the most widely adopted standard in the sector, addresses workers' rights, water use, and biodiversity, but does not constitute a DCF commitment. An investigation found BCI-certified cotton sold by major retailers was linked to illegal deforestation in Brazil's Cerrado. Organic certifications reduce pesticide use but say nothing about where the land was sourced from. Companies relying on certification as a proxy for DCF compliance are exposed.

Three challenges companies must navigate

Smallholder complexity. Smallholder and family farms produce approximately 75% of global cotton supply. Income pressures and climate vulnerability can push these farmers into previously unconverted grasslands and forests, making individual farm-level oversight a critical and difficult requirement.

Traceability breakdowns. Cotton's supply chain creates multiple points at which origin is lost. At ginning, cotton from different farms and even different countries is routinely mixed, sometimes unintentionally, sometimes to substitute non-compliant cotton for cost reasons or to cover supply disruptions. Without pre-gin traceability, downstream actors have limited visibility into conversion risk.

Competing sustainability priorities. The shift toward organic cotton is driven by legitimate concerns about pesticide contamination. But the focus on chemical inputs can crowd out attention to land-use change, meaning a company can improve on one environmental metric while remaining exposed on another.

What credible DCF commitment requires

Most companies currently lack the systems to implement DCF in cotton supply chains. Closing this gap requires action across five areas:

1. Align with global standards. Commitments should be structured around AFi and Science Based Targets initiative (SBTi) frameworks, adopting the full DCF definition, not just deforestation, but conversion of all natural ecosystems. 

2. Set clear cutoff dates. Cutoff dates establish the baseline from which commitments apply. Without them, there is no defensible way to distinguish compliant from non-compliant production, and no foundation for supplier engagement. Meridia Verify allows companies to set and operationalise cutoff dates directly within the platform.

3. Build traceability to origin. Traceability must reach the farm or plot level before ginning, where cotton's origin becomes permanently obscured through mixing. This means collecting farm- and plot-level geolocation data and cross-referencing it against satellite imagery and land registries to confirm actual land use before harvest. This is where the gap between a stated commitment and a defensible one is widest, and where most companies currently have no data at all.

4. Monitor land-use change across all ecosystems. Tracking must extend beyond forests to grasslands, savannahs, wetlands, and other natural ecosystems. Meridia's monitoring covers all of these, providing ongoing verification against a confirmed baseline rather than relying on one-time audits.

5. Turn findings into supplier action. Detection alone doesn't close the loop. Companies need structured remediation pathways, tools for engaging non-compliant suppliers, documenting corrective steps, and producing audit-ready evidence that holds up to scrutiny.

How Meridia supports DCF in cotton

Unlike palm, soy, and cattle, where DCF frameworks are relatively mature, cotton is in the early stages of adoption. Supply chain fragmentation, mixing at ginning, and the absence of sector-wide standards make barriers to traceability particularly acute.

Meridia delivers DCF risk assessments aligned with AFi, SBTi, and other key standards, cross-checking supplier data against satellite imagery and land registries to detect conversion of grasslands and savannahs,  not just forests.

Where gaps are identified, we provide structured tools for supplier engagement and remediation, enabling companies to move quickly from detection to action, with independently verified, audit-ready evidence to back their commitments.