Doyen L. auteur aut IRD Smith M. D. auteur aut IRD Sumaila U. R. auteur aut IRD Zaccour G. auteur aut IRD Ekeland I. auteur aut IRD Cury Philippe auteur aut IRD Lett Christophe auteur aut IRD Thébaud O. auteur aut IRD Poggiale J. C. auteur aut IRD Moussaoui A. auteur aut IRD Fromentin J. M. auteur aut IRD Gourguet S. auteur aut IRD Guillotreau Patrice auteur aut IRD Gomes H. auteur aut IRD Courtois P. auteur aut IRD Schaap R. auteur aut IRD Blanchard F. auteur aut IRD Rainer C. auteur aut IRD Tidball M. auteur aut IRD Cuilleret M. auteur aut IRD Villain T. auteur aut IRD Ménard Frédéric auteur aut IRD Sari T. auteur aut IRD text journalArticle eng text/pdf reformatted digital access Reconciling food security, economic development, and biodiversity conservation in the face of global changes is a major challenge. The sustainable uses of marine biodiversity in the context of climate change, invasive species, water pollution, and demographic growth is an example of this bio-economic challenge. There is a need for quantitative methods, models, scenarios, and indicators to support policies addressing this issue. Although bio-economic models for marine resources date back to the 1950s and are still used in fisheries management and policy design, they need major improvements, extensions, and breakthroughs. This paper proposes to design a Mathematical Bio-Economics 2.0 (MBE2) for Sustainable Fisheries to advance the development of bio-economic models and scenarios for the management of fisheries and marine ecosystems confronted with unprecedented global change. These models and scenarios should make both ecological and socioeconomic sense while being well-posed mathematically and numerically. To achieve this, we propose to base the MBE2 framework for Sustainable Fisheries on four research axes regarding the mathematics and modeling of: (i) ecosystem-based fisheries management; (ii) criteria of sustainability; (iii) criteria of resilience; and (iv) governance and strategic interactions. The associated methodology of MBE2 draws mainly on dynamic systems theory, optimal and viable controls of systems, game theory, and stochastic approaches. Our analysis, which is based on these four axes, allows us to identify the main methodological gaps to fill compared to current models for fisheries management. specialized biodiversity control theory dynamic systems ecosystems ecosystem services game theory management resilience scenarios sustainability 040 021 020 082 38 4 e70013 [14 p.] 2025 0890-8575 https://www.documentation.ird.fr/hor/fdi:010095804 10.1111/nrm.70013 0890-8575 [F B010095804] https://www.documentation.ird.fr/hor/fdi:010095804 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2026-01/010095804.pdf IRD - Base Horizon / Pleins textes 2026-01-14 2026-01-21 fdi:010095804 fre