Traceability Guide for Deforestation- and Conversion-Free (DCF) Leather

The guide outlines a structured approach to achieving deforestation- and conversion-free (DCF) leather supply chains, emphasizing the transition from fragmented mapping to event-based traceability. It advocates for the adoption of global standards, specifically GS1 EPCIS, to ensure data interoperability across complex multi-tier networks. The document details an 11-step implementation roadmap, ranging from internal assessments and pilot projects with trusted partners to the integration of geospatial analysis and third-party verification. It distinguishes between serialized traceability for individual animals and lot-based traceability for processed hides, proposing a hybrid model to balance precision with operational feasibility.

• The global leather supply chain is highly fragmented and opaque, particularly in Latin America (Brazil, Argentina, and Paraguay), where indirect cattle sourcing through intermediary farms obscures the origin of materials in high-risk biomes like the Amazon, Cerrado, and Gran Chaco.
• Existing certification programs (such as LWG, ICEC, and CSCB) often focus on processing stages or site-specific audits and typically fail to provide the georeferenced point-of-origin data required by regulations like the EU Deforestation Regulation (EUDR).
• The guide distinguishes between supply chain mapping and traceability, stating that mapping identifies potential suppliers ('who could have touched it') while traceability provides verifiable evidence of the actual journey of specific material volumes ('who did').
• A hybrid traceability model is recommended: serialized traceability (using unique IDs like RFID or barcodes) for individual cattle to manage high-risk early stages, transitioning to lot-based traceability for groups of hides during processing to maintain cost-effectiveness.
• The proposed Global Traceability Framework for Beef and Leather relies on standardized Critical Tracking Events (CTEs) and Key Data Elements (KDEs) aligned with GS1 EPCIS standards to ensure data is interoperable across different actors.
• The implementation roadmap consists of 11 steps, starting with internal assessments and the identification of trusted partners for pilots, moving through gap analysis and the integration of traceability into purchasing specifications, and ending with industry-wide collaboration and optional incentives.
• Geospatial analysis, utilizing satellite imagery and GIS, is identified as essential for validating DCF claims, though it faces challenges such as 'laundering' where non-compliant materials are mixed with compliant ones at the start of the supply chain.
• Verification of traceability data should follow a risk-based approach, utilizing first-party (internal), second-party (customer), or third-party (independent) audits, with third-party verification being the most credible for high-risk regions.

APA

WWF International (n.d.). Traceability Guide for Deforestation- and Conversion-Free (DCF) Leather. https://www.worldwildlife.org/documents/2266/Traceability_Guide.pdf

Chicago

WWF International. Traceability Guide for Deforestation- and Conversion-Free (DCF) Leather. n.d. https://www.worldwildlife.org/documents/2266/Traceability_Guide.pdf.

Wikipedia

{{cite report |author=WWF International |title=Traceability Guide for Deforestation- and Conversion-Free (DCF) Leather |url=https://www.worldwildlife.org/documents/2266/Traceability_Guide.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{wwfinternationalndtraceability, author = {{WWF International}}, title = {{Traceability Guide for Deforestation- and Conversion-Free (DCF) Leather}}, institution = {WWF International}, url = {https://www.worldwildlife.org/documents/2266/Traceability_Guide.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }