DOCUMENT TECHNIQUE DE BASE POUR LA GOUVERNANCE DES SYSTÈMES DE MONITORING ÉLECTRONIQUE (ME) SUR LES NAVIRES DE PÊCHE INDUSTRIELLE AU THON
Summary
The document outlines the technical and governance requirements for implementing electronic monitoring (EM) in industrial tuna fisheries. It details a five-phase implementation process—assessment, design, preparation, launch, and continuous management—and proposes three governance scenarios: centralized, decentralized/harmonized, and various service provider models. The text emphasizes the transition toward outcome-based standards to allow for technological innovation, such as AI and machine learning, while highlighting critical challenges regarding data interoperability, legal frameworks for data privacy, and the lack of transparent cost data.
Key insights
- The four primary tuna RFMOs (IOTC, ICCAT, WCPFC, and IATTC) have developed EM standards, with IOTC and ICCAT having already adopted them, WCPFC aiming for adoption by the end of 2024, and IATTC on track for 2025.
- There is a strong consensus among technical experts that RFMO standards should be outcome-based—focusing on what data is collected rather than how—to maintain flexibility for innovations like artificial intelligence and machine learning.
- Harmonization of EM standards across RFMOs provides several benefits, including cost savings through bulk purchasing, reduced customization costs for fishers, improved data reliability for regional science, and better stock management.
- The document proposes three governance scenarios: Scenario A (Centralized), where an RFMO manages the program for all vessels; Scenario B (Decentralized and Harmonized), where the RFMO sets minimum standards but members implement their own programs; and Scenario C, which focuses on the use of independent service providers.
- When selecting service providers, programs can choose a single-provider model for end-to-end integration and feedback efficiency, or a multi-provider model to encourage innovation and competition, though the latter requires a robust accreditation mechanism to ensure data quality.
- Data centers (CCD) can be managed internally by RFMOs or member states, or outsourced to third parties; while national centers create local jobs and control, shared regional centers may be more cost-effective for smaller nations.
- The integration of AI and machine learning (ML) can significantly reduce human analyst workloads by automating object detection, classification, and activity recognition, but requires new governance for testing, accuracy verification, and error thresholding.
- A critical barrier to EM implementation is the lack of updated national legal frameworks, specifically regarding data conservation, security, privacy, and the admissibility of electronic records as evidence in judicial proceedings.
- Financial considerations remain the primary research gap due to a lack of transparency in program costs and uncertainty regarding cost-recovery mechanisms.
Cite the original document
- APA
- Garren, M., Michelin, M., & Maharaj, V. (n.d.). DOCUMENT TECHNIQUE DE BASE POUR LA GOUVERNANCE DES SYSTÈMES DE MONITORING ÉLECTRONIQUE (ME) SUR LES NAVIRES DE PÊCHE INDUSTRIELLE AU THON. WWF International. https://www.worldwildlife.org/documents/749/24mmniloik_Technical_Source_Document_Gov._of_E_M_French.pdf
- Chicago
- Garren, Melissa, Mark Michelin, and Vishwanie Maharaj. DOCUMENT TECHNIQUE DE BASE POUR LA GOUVERNANCE DES SYSTÈMES DE MONITORING ÉLECTRONIQUE (ME) SUR LES NAVIRES DE PÊCHE INDUSTRIELLE AU THON. WWF International, n.d. https://www.worldwildlife.org/documents/749/24mmniloik_Technical_Source_Document_Gov._of_E_M_French.pdf.
- Wikipedia
- {{cite report |last1=Garren |first1=Melissa |last2=Michelin |first2=Mark |last3=Maharaj |first3=Vishwanie |title=DOCUMENT TECHNIQUE DE BASE POUR LA GOUVERNANCE DES SYSTÈMES DE MONITORING ÉLECTRONIQUE (ME) SUR LES NAVIRES DE PÊCHE INDUSTRIELLE AU THON |publisher=WWF International |url=https://www.worldwildlife.org/documents/749/24mmniloik_Technical_Source_Document_Gov._of_E_M_French.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{garrennddocument, author = {Garren, Melissa and Michelin, Mark and Maharaj, Vishwanie}, title = {{DOCUMENT TECHNIQUE DE BASE POUR LA GOUVERNANCE DES SYSTÈMES DE MONITORING ÉLECTRONIQUE (ME) SUR LES NAVIRES DE PÊCHE INDUSTRIELLE AU THON}}, institution = {WWF International}, url = {https://www.worldwildlife.org/documents/749/24mmniloik_Technical_Source_Document_Gov._of_E_M_French.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }
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