@article{fdi:010095804,
  title = {{M}athematical bio-economics 2.0 for sustainable fisheries},
  author = {{D}oyen, {L}. and {S}mith, {M}. {D}. and {S}umaila, {U}. {R}. and {Z}accour, {G}. and {E}keland, {I}. and {C}ury, {P}hilippe and {L}ett, {C}hristophe and {T}h{\'e}baud, {O}. and {P}oggiale, {J}. {C}. and {M}oussaoui, {A}. and {F}romentin, {J}. {M}. and {G}ourguet, {S}. and {G}uillotreau, {P}atrice and {G}omes, {H}. and {C}ourtois, {P}. and {S}chaap, {R}. and {B}lanchard, {F}. and {R}ainer, {C}. and {T}idball, {M}. and {C}uilleret, {M}. and {V}illain, {T}. and {M}{\'e}nard, {F}r{\'e}d{\'e}ric and {S}ari, {T}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}econciling food security, economic development, and biodiversity conservation in the face of global changes is a major challenge. {T}he 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. {T}here is a need for quantitative methods, models, scenarios, and indicators to support policies addressing this issue. {A}lthough 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. {T}his paper proposes to design a {M}athematical {B}io-{E}conomics 2.0 ({MBE}2) for {S}ustainable {F}isheries to advance the development of bio-economic models and scenarios for the management of fisheries and marine ecosystems confronted with unprecedented global change. {T}hese models and scenarios should make both ecological and socioeconomic sense while being well-posed mathematically and numerically. {T}o achieve this, we propose to base the {MBE}2 framework for {S}ustainable {F}isheries 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. {T}he associated methodology of {MBE}2 draws mainly on dynamic systems theory, optimal and viable controls of systems, game theory, and stochastic approaches. {O}ur 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.},
  keywords = {biodiversity ; control theory ; dynamic systems ; ecosystems ; ecosystem ; services ; game theory ; management ; resilience ; scenarios ; sustainability},
  booktitle = {},
  journal = {{N}atural {R}esource {M}odeling},
  volume = {38},
  numero = {4},
  pages = {e70013 [14 p.]},
  ISSN = {0890-8575},
  year = {2025},
  DOI = {10.1111/nrm.70013},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095804},
}