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162<br />

Mar Ecol Prog Ser 459: 159–163, 2012<br />

effects of climate change on BRPs. Mov<strong>in</strong>g from simulation<br />

to model fitt<strong>in</strong>g for operational management<br />

advice, Fogarty et al. (2012) used the Gulf of Ma<strong>in</strong>e<br />

ecosystem as a case study compar<strong>in</strong>g the results of a<br />

system-level aggregate production model with a set<br />

of s<strong>in</strong>gle species production models, as well as the<br />

results of s<strong>in</strong>gle species stock assessments. That<br />

study, as well as the overall synthesis, reiterates that<br />

the sum of s<strong>in</strong>gle species BRPs exceeds any aggregate<br />

BRP for the ecosystem (Fogarty et al. 2012, L<strong>in</strong>k<br />

et al. 2012), an important overall f<strong>in</strong>d<strong>in</strong>g for EBFM.<br />

In summary, the body of work presented <strong>in</strong> this TS<br />

demonstrates that us<strong>in</strong>g both production model<strong>in</strong>g<br />

and the comparative approach together makes valuable<br />

and rapid progress towards EBFM, whether the<br />

aim is a better understand<strong>in</strong>g of the ecosystem, or the<br />

provision of operational management advice. The<br />

breadth and depth of analyses presented here (which<br />

were achieved with<strong>in</strong> a 2-yr timeframe) highlight the<br />

utility of relatively simple models comb<strong>in</strong>ed with<br />

long-term time series ma<strong>in</strong>ta<strong>in</strong>ed by the participat<strong>in</strong>g<br />

<strong>in</strong>ternational <strong>in</strong>stitutions. This body of work also<br />

highlights the benefits of collaborative projects<br />

where the total profit to be ga<strong>in</strong>ed is much greater<br />

than the sum of the parts (contrast<strong>in</strong>g with f<strong>in</strong>d<strong>in</strong>gs<br />

reported here that multispecies MSY is generally less<br />

than the sum of s<strong>in</strong>gle species MSYs). We expect that<br />

this approach will be useful <strong>in</strong> other areas of the<br />

world, especially where data may be limit<strong>in</strong>g but<br />

EBFM is equally as important.<br />

Acknowledgements. This collaborative, multilateral work<br />

was funded through the US Comparative Analysis of Mar -<br />

<strong>in</strong>e Ecosystem Organization (CAMEO), the Norwegian Re -<br />

search Council (NRC), and the Fishery and Oceans Canada<br />

Ecosystem <strong>Research</strong> Initiative (ERI). Major national <strong>in</strong>stitutes<br />

(the Canada Department of Fisheries and Oceans, Norway<br />

Institute for Mar<strong>in</strong>e <strong>Research</strong>, and US National Mar<strong>in</strong>e<br />

Fisheries Service) also contributed significant ‘<strong>in</strong>-k<strong>in</strong>d’ and<br />

directed resources to this project. This work is endorsed by<br />

the Ecosystem Studies of Subarctic Seas (ESSAS) program.<br />

The work we report upon here<strong>in</strong> resulted from several jo<strong>in</strong>t<br />

meet<strong>in</strong>gs, particularly the Surplus Production Model<strong>in</strong>g<br />

Workshop (SPMW 1 & 2) and associated <strong>in</strong>ter-sessional<br />

efforts, represent<strong>in</strong>g a cont<strong>in</strong>uation of and follow-on to other<br />

jo<strong>in</strong>t workshops, <strong>in</strong>clud<strong>in</strong>g Canadian and US Ecosystems<br />

(CANUSE I & II), Mar<strong>in</strong>e Ecosystems of Norway and the US<br />

(MENU I & II), and Norwegian-Canadian Collaborations<br />

(NORCAN).<br />

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