@article{fdi:010090733, title = {{G}lobal habitat predictions to inform spatiotemporal fisheries management: {I}nitial steps within the framework}, author = {{B}owlby, {H}. {D}. and {D}ruon, {J}. {N}. and {L}opez, {J}. and {J}uan-{J}ordá, {M}. {J}. and {C}arreón-{Z}apiain, {M}. {T}. and {V}andeperre, {F}. and {L}eone, {A}. and {F}inucci, {B}. and {S}abarros, {P}hilippe and {B}lock, {B}. {A}. and {A}rrizabalaga, {H}. and {A}fonso, {P}. and {M}usyl, {M}. {K}. and {C}oelho, {R}. and {C}ort{\'e}s, {E}. and {C}ardoso, {L}. {G}. and {M}ourato, {B}. and {Q}ueiroz, {N}. and {F}ontes, {J}. and {A}bascal, {F}. {J}. and {Z}anzi, {A}. and {H}azin, {H}. {G}. and {B}ach, {P}ascal and {S}ims, {D}. {W}. and {T}ravassos, {P}.}, editor = {}, language = {{ENG}}, abstract = {{T}una {R}egional {F}ishery {M}anagement {O}rganizations (t{RFMO}s) are increasingly interested in spatiotemporal management as a tool to reduce interaction rates with vulnerable species. {W}e use blue shark ( {P}rionace glauca ) as a case study to demonstrate the critical first steps in the implementation process, highlighting how predictions of global habitat for vulnerable life stages can be transformed into a publicly -accessible spatial bycatch mitigation tool. {B}y providing examples of possible management goals and an associated threshold to identify essential habitats, we show how these key areas can represent a relatively low percentage of oceanic area on a monthly basis (16-24% between 50 degrees {S} and 60 degrees {N}), yet can have relatively high potential protection efficiency (similar to 42%) for vulnerable stages if fishing effort is redistributed elsewhere. {W}hile spatiotemporal management has demonstrable potential for blue sharks to effectively mitigate fishing mortality on sensitive life stages, we identify inherent challenges and sequential steps that require careful consideration by t{RFMO}s as work proceeds. {W}e also discuss how our single-species framework could be easily extended to a multispecies approach by assigning relative conservation risk before layering habitat model predictions in an integrated analysis. {S}uch broader application of our approach could address the goals of t{RFMO}s related to reducing the ecosystem effects of fishing and pave the way for efficient fisheries co-management using an ecosystem-based approach.}, keywords = {{B}ycatch mitigation ; {B}lue shark ; {R}emote fisheries ; {C}o-management ; {D}ynamic ; management ; {MONDE}}, booktitle = {}, journal = {{M}arine {P}olicy}, volume = {164}, numero = {}, pages = {106155 [12 p.]}, ISSN = {0308-597{X}}, year = {2024}, DOI = {10.1016/j.marpol.2024.106155}, URL = {https://www.documentation.ird.fr/hor/fdi:010090733}, }