Harvesting, climate and population structure of harvested stocks in the Barents Sea

Since Hjort in 1914 it is accepted that recruitment variation is a major source of variability in the biomass of adult fish. In a recent study published in Marine Ecology Progress Series (Durant & Hjermann 2017) we investigated how external forcing and age structure alter the effect of the year-to-year recruitment variability on population growth for some key fish species which occupy different trophic levels in an Arcto-boreal marine ecosystem.

Figure 1. Some commercial fish in the Barents Sea: Northeast Arctic (NEA) cod (Gadus morhua), NEA haddock (Melanogrammus aeglefinus), capelin (Mallotus villosus), Polar cod (Boreogadus saida) and the Norwegian Spawning (NSS) herring (Clupea harengus)

In a comparative study investigating in five of the most (ecologically and commercially) important stocks in the Barents Sea (Jakobsen & Ozhigin 2011): Northeast Arctic (NEA) cod (Gadus morhua), NEA haddock (Melanogrammus aeglefinus), capelin (Mallotus villosus), Polar cod (Boreogadus saida) and the Norwegian Spawning (NSS) herring (Clupea harengus), with contrasting life histories and trophic positions (Figure 1), we have characterized the sensitivity of population growth rate to recruitment. The species chosen for our study represent different levels of the food chain: capelin, herring and polar cod are pelagic, planktivorous fish and a crucial trophic link between zooplankton and top predators, while cod and haddock are demersal fish feeding on a mixed diet including fish and benthic animals.

The fish population is affected by the variation of many factor that are recruitment, fishing mortality, natural mortality, and age at maturation… These effects are conveniently integrated by the properties of the population's transition matrix (e.g., Leslie matrix) and affect the population growth. Using age-structured population matrices and Generalized Additive Model analysis, we found that the transient elasticity of population growth to recruitment (how much population growth depends on recruitment) overall depends mostly on the fish stock age structure but also on climate change.

In a previous study (Durant et al 2013), we have compared, for seven stocks of gadoid fish (3 species in 7 ecosystems),  the effects of fisheries on population growth rate and the sensitivity of population growth to climate as well as the role of changed population structure in mediating these effects. We found that there was a general tendency of an increase of the population growth with the increase of the contribution of recruitment (Figure 2). The results of the new study comfort these previous results, the elasticity to recruitment being primarily affected by long-term changes in age structure of the population, typically caused by fishing, while there is little or no additional effect of the ongoing fishing pressure. In general, we found no effect of ongoing fishery pressure on model results after age structure has been taken into account, supporting the view that long-term fishing pressure affects the population's susceptibility to climate indirectly, by changing the stock's age structure.

Figure 2. Effect of generation time (2 plots to the left) and temperature (right plot) on the effect of recruitment variability on population growth. In grey dotes are indicated the results from the study of Durant et al. 2013.



Our results indicate that under warmer conditions, population growth of high latitude stocks becomes increasingly dependent on recruitment. Thus, while future global warming may result in generally more productive Barents Sea fish stocks, it will however make them more sensitive to climate fluctuations and less sensitive to fishing pressure. The latter will make the stock more difficult to manage by modifying the fishing pressure. . However, for most of the stocks studied here, populations have low elasticity to recruitment, meaning that management, not climate, is to blame if the stock declines. More than ever, taking recruitment variation into account is essential for stock management.



Durant, J.M. and Hjermann, D.Ø. (2017). Age-structure, harvesting and climate effects on population growth of Arcto-boreal fish stocks Marine Ecology Progress Series, 577, 177-188 DOI: 10.3354/meps12210

Durant, J.M., Hidalgo, M., Rouyer, T., Hjermann, D., Ciannelli, L., Eikeset, A., Yaragina, N., & Stenseth, N. (2013). Population growth across heterogeneous environments: effects of harvesting and age structure Marine Ecology Progress Series, 480, 277-287 DOI: 10.3354/meps10308

Jakobsen, T. & Ozhigin, V.K. (eds) (2011) The Barents Sea: Ecosystem, Resources, Management. Half a century of Russian - Norwegian cooperation. Tapir Academic Press, Trondheim, Norway

Johan Hjort (1914). Fluctuations in the great fisheries of Northern Europe viewed in the light of biological research Rapports et Procès-Verbaux des Réunions, 20, 1-228



Tags: Evology, Marine, Matrix By Joel Durant
Published Aug. 22, 2017 3:27 PM - Last modified Aug. 22, 2017 3:27 PM
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