@article{fdi:010092247, title = {{D}etecting, attributing, and projecting global marine ecosystem and fisheries change : {F}ish{MIP} 2.0}, author = {{B}lanchard, {J}. {L}. and {N}ovaglio, {C}. and {M}aury, {O}livier and {H}arrison, {C}. {S}. and {P}etrik, {C}. {M}. and {F}ierro-{A}rcos, {D}. and {O}rtega-{C}isneros, {K}. and {B}ryndum-{B}uchholz, {A}. and {E}ddy, {T}. {D}. and {H}eneghan, {R}. and {R}oberts, {K}. and {S}chewe, {J}. and {B}ianchi, {D}. and {G}uiet, {J}. and van {D}enderen, {P}. {D}. and {P}alacios-{A}brantes, {J}. and {L}iu, {X}. and {S}tock, {C}. {A}. and {R}ousseau, {Y}. and {B}uechner, {M}. and {A}dekoya, {E}. {O}. and {B}ulman, {C}. and {C}heung, {W}. and {C}hristensen, {V}. and {C}oll, {M}arta and {C}apitani, {L}. and {D}atta, {S}. and {F}ulton, {E}. {A}. and {F}uster, {A}. and {G}arza, {V}. and {L}engaigne, {M}atthieu and {L}indmark, {M}. and {M}urphy, {K}. and {O}uled-{C}heikh, {J}. and {P}rasad, {S}. {S}. and {O}liveros-{R}amos, {R}. and {R}eum, {J}. {C}. and {R}ynne, {N}. and {S}cherrer, {K}. {J}. {N}. and {S}hin, {Y}unne-{J}ai and {S}teenbeek, {J}. and {W}oodworth-{J}efcoats, {P}. and {W}u, {Y}. {L}. and {T}ittensor, {D}. {P}.}, editor = {}, language = {{ENG}}, abstract = {{T}here is an urgent need for models that can robustly detect past and project future ecosystem changes and risks to the services that they provide to people. {T}he {F}isheries and {M}arine {E}cosystem {M}odel {I}ntercomparison {P}roject ({F}ish{MIP}) was established to develop model ensembles for projecting long-term impacts of climate change on fisheries and marine ecosystems while informing policy at spatio-temporal scales relevant to the {I}nter-{S}ectoral {I}mpact {M}odel {I}ntercomparison {P}roject ({ISIMIP}) framework. {W}hile contributing {F}ish{MIP} models have improved over time, large uncertainties in projections remain, particularly in coastal and shelf seas where most of the world's fisheries occur. {F}urthermore, previous {F}ish{MIP} climate impact projections have been limited by a lack of global standardized historical fishing data, low resolution of coastal processes, and uneven capabilities across the {F}ish{MIP} community to dynamically model fisheries. {T}hese features are needed to evaluate how reliably the {F}ish{MIP} ensemble captures past ecosystem states - a crucial step for building confidence in future projections. {T}o address these issues, we have developed {F}ish{MIP} 2.0 comprising a two-track framework for: (a) {M}odel evaluation and attribution of past changes and (b) future climate and socioeconomic scenario projections. {K}ey advances include improved historical climate forcing, which captures oceanographic features not previously resolved, and standardized global fishing forcing to test fishing effects systematically across models. {F}ish{MIP} 2.0 is a crucial step toward a detection and attribution framework for changing marine ecosystems and toward enhanced policy relevance through increased confidence in future ensemble projections. {O}ur results will help elucidate pathways toward achieving sustainable development goals.}, keywords = {global change ; climate projections ; marine ecosystem modeling ; future scenarios ; sustainable oceans ; fisheries}, booktitle = {}, journal = {{E}arths {F}uture}, volume = {12}, numero = {12}, pages = {e2023{EF}004402 [12 p.]}, year = {2024}, DOI = {10.1029/2023ef004402}, URL = {https://www.documentation.ird.fr/hor/fdi:010092247}, }