Stock assessment and fisheries management

Sustainable use of marine resources requires that we are able to access the status of these resources – otherwise we are not able to judge the status of the populations. Stock assessments use catch and survey data to estimate the population size, and this estimate of population size is further used in harvest control rules to give advice on fisheries quotas. Fisheries management is very dependent on modelling work, for estimating the population size, forecasting how different quotas will affect the population, and for running management strategy evaluations where different potential management measures and reference points are evaluated.

Authorship in general by “first-last-author-emphasis”, students/postdocs supervised by me marked with an *.

 

*Zimmermann, F., K. Enberg 2017. Can less be more? Effects of reduced frequency of surveys and stock assessments. ICES Journal of Marine Science 74: 56-68. doi: 10.1093/icesjms/fsw134 (open access)

Relative mean squared residuals of spawning-stock biomass between baseline and assessment scenario runs of all assessment years from 2008 to 2014 for blue whiting (a) and Norwegian spring-spawning herring (b). In scenario runs, the frequency of assessments was reduced to once every other year, either with annual surveys (Scenario A) or biannual surveys that coincide with the assessment year (Scenario AS+) or not (Scenario AS−). Residuals were calculated as the deviation between SSB in baseline and scenario in each year of the assessed time-series. All values were standardized to their stock-specific maximum. Scenario S− of blue whiting in 2013 (*) was removed.


Kvamsdal, S.F., A. Eide, N. Ekerhovd, K. Enberg, A. Guðmundsdóttir, A.H. Hoel, K.E. Mills, L. Ravn-Jonsen, L.K. Sandal, J.E. Stiansen, N. Vestergaard 2016. Harvest Control Rules in Modern Fisheries Management. Elementa: Science of the Anthropocene 4: 000114..doi: 10.12952/journal.elementa.000114. (open access)


Laugen, A.T., G.H. Engelhard, R. Whitlock, R. Arlinghaus, D.J. Dankel, E.S. Dunlop, A.M. Eikeset, K. Enberg, C. Jørgensen, S. Matsumura, S. Nusslé, D. Urbach, L. Baulier, D.S. Boukal, B. Ernande, F.D. Johnston, F. Mollet, H. Pardoe, N.O. Therkildsen, S. Uusi-Heikkilä, A. Vainikka, M. Heino, A.D. Rijnsdorp, and U. Dieckmann 2014. Evolutionary impact assessment: Accounting for evolutionary consequences of fishing in an ecosystem approach to fisheries management. Fish and Fisheries 15: 65-96. (open access)

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Skagen, D.W., M. Skern-Mauritzen, D.J. Dankel, K. Enberg, O.S. Kjesbu, and R.D.M. Nash 2013. A simulation framework for evaluating fisheries management decisions using environmental information. ICES Journal of Marine Science 70: 743-754. (open access)


Heino, M., L. Baulier, D.S. Boukal, B. Ernande, F.D. Johnston, F. Mollet, H. Pardoe, N.O. Therkildsen, S. Uusi-Heikkilä, A. Vainikka, R. Arlinghaus, D.J. Dankel, E.S. Dunlop, A.M. Eikeset, K. Enberg, G.H. Engelhard, C. Jørgensen, A.T. Laugen, S. Matsumura, S. Nusslé, D. Urbach, R. Whitlock, A.D. Rijnsdorp, and U. Dieckmann 2013. Can fisheries-induced evolution shift reference points for fisheries management? ICES Journal of Marine Science 70: 707-721. (open access)


*Myrseth, J., K. Enberg, M. Heino, and Ø. Fiksen. 2011. Do accurate stock estimates increase harvest and reduce variability in fisheries yields? Natural Resource Modeling 24: 222-241. 

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