Synchrony in marine growth among Atlantic salmon (<i>Salmo salar</i>) populations

Jensen, Arne J.; Fiske, Peder; Hansen, L. P.; Johnsen, Bjørn Ove; Mork, Kjell Arne; Næsje, Tor F.

doi:10.1139/f10-156

Cited by 38 publications

(41 citation statements)

References 66 publications

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“…Factors common to all stocks during the feeding migration include changes in the sea environment, such as the sea surface temperature, conditions in the feeding area, such as the availability of food, and the offshore and coastal fishery. This reasoning has proved correct in several previous studies related to salmon abundance, growth, and migration distance, in which synchronous trends have been related to common environmental factors [6,13,62,63]. The decrease in the proportion of old males has also been observed previous studies , as Järvi [64] reported approximately 11% of the spawners to be 4-6 SW salmon in the 1930s and 1940s, but an analysis sixty years later reported only 0.5-2% of salmon of that age [15].…”

Section: Spawning Age Variation Caused By the Natural Environmentmentioning

confidence: 63%

Spawning-Age Differences and their Temporal Trends in Wild and Sea-Ranched Atlantic Salmon Stocks, from Stock Mixture Data

Kallio‐Nyberg¹,

Koljonen²,

Saloniemi³

2014

TOFISHSJ

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Origin and age was determined for individual fish caught in offshore catches of Atlantic salmon stocks (Salmo salar L.) in the Baltic Sea over the years [2000][2001][2002][2003][2004][2005][2006][2007][2008][2009]. DNA microsatellite loci and smolt age were used to probabilistically assign returning spawners to their stock of origin. Data for this study were based on approximately 2600 catch samples of the five most common wild and four sea-ranched, hatchery-reared stocks. Spawning age, and sex ratio differed both within and between these wild, and sea-ranched groups. The females were mainly (78.7%) two sea-winters old and the males usually (68.7%) only one sea-winter old. In both sexes, the mean age at maturity was lower in the hatchery-reared, sea-ranched stocks than in naturally reproducing stocks. In the 2000s, there was a weak decreasing trend in the male spawning age, but not in that of females. The sex-ratio of the spawners was female dominant in the naturally reproducing stocks, but male dominant in hatchery-reared stocks. Published historical data from two of the same rivers suggest that the majority of males were multi-sea-winter spawners in the 1930s, and variation in the age distribution of the spawners has become narrower and skewed towards a younger age in the present data (2000-2009) compared to the earlier situation.

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Section: Spawning Age Variation Caused By the Natural Environmentmentioning

confidence: 63%

Spawning-Age Differences and their Temporal Trends in Wild and Sea-Ranched Atlantic Salmon Stocks, from Stock Mixture Data

Kallio‐Nyberg¹,

Koljonen²,

Saloniemi³

2014

TOFISHSJ

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“…Jensen et al (2011) demonstrated that PSG decreases from south to north, whereas daily growth rates are about the same. The main reason for this is that Atlantic salmon smolts migrate to sea earlier in spring in the south than further north and hence experience a longer growth season at sea as postsmolts (Hvidsten et al 1998;Kennedy and Crozier 2010;Jensen et al 2012a).…”

Section: Age and Growthmentioning

confidence: 96%

Origin and life history of Atlantic salmon (Salmo salar) near their northernmost oceanic limit

Jensen

KarlssonSten

FiskePeder

et al. 2014

Can. J. Fish. Aquat. Sci.

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138 Atlantic salmon (Salmo salar) captured in the Advent Fjord off Svalbard were genetically assigned to two main clusters of European salmon. Two-thirds were assigned to salmon rivers in Finnmark (the northernmost county in Norway) and the rest to salmon rivers further south in Norway. The genetic assignment was based on genetic profiles from 60 Norwegian rivers. The two clusters correspond to two larger genetic groupings: the Barents-White seas and Atlantic groupings. Thus, we cannot rule out other populations from these groupings as sources of Atlantic salmon at Svalbard. Svalbard salmon assigned to the two genetic groupings differed in ecological and phenological traits, with highest smolt age and lowest postsmolt growth in the Finnmark salmon cluster. High smolt ages in both groups, however, suggest a northern origin of most individuals in the sample. Although Atlantic salmon have sporadically been observed in the Arctic Ocean at earlier times, the high abundance outlined here seems to be a recent phenomenon, suggesting a northward penetration caused by climate change.Résumé : Cent-trente-huit saumons atlantiques (Salmo salar) capturés dans le fiord de l'Avent au large de Svalbard ont été affectés génétiquement à deux grands groupes de saumons européens. Deux tiers d'entre eux ont été affectés à des rivières à saumons du Finnmark (le comté le plus nordique de la Norvège) et les autres, à des rivières à saumons norvégiennes situées plus au sud. Cette affectation génétique repose sur les profils génétiques de 60 rivières norvégiennes. Ces deux groupes correspondent à deux regroupements génétiques plus larges, celui des mers de Barents-Blanche et celui de l'Atlantique. La possibilité que des saumons atlantiques de Svalbard proviennent d'autres populations de ces regroupements ne peut donc être exclue. Les saumons de Svalbard affectés aux deux regroupements génétiques présentent des caractères écologiques et phénologiques distincts, le groupe de Finnmark présentant les âges de saumoneaux les plus grands et la croissance post-saumoneau la plus faible. Les âges de saumoneaux élevés des deux groupes suggèrent toutefois une origine nordique pour la plupart des individus de l'échantillon. Bien que des saumons atlantiques aient sporadiquement été observés dans l'océan Arctique par le passé, leur forte abondance relevée dans la présente étude semble constituer un phénomène récent qui indiquerait une pénétration vers le nord causée par les changements climatiques. [Traduit par la Rédaction]

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“…To obtain long time-series with high temporal and spatial resolution of directly measured ocean properties, especially for geographically remote or inaccessible locations, behavioural studies generally have relied on optimal interpolated gridded fields of remotely-sensed satellite data of, for example, SST and sea level anomaly (Bradshaw et al 2004, Todd et al 2008, Jensen et al 2011. One major advantage of these data sources lies in their allowing a synoptic overview of changing features over large areas.…”

Section: Introductionmentioning

confidence: 99%

“…Bradshaw et al 2004, Jensen et al 2011. Recent studies have linked primary production to both seasonal and interannual ocean variability (Gomes et al 2000, Chavez et al 2011, and time-series variation of the reproduction and abundance of high trophic level consumers in response to ocean climate variation (Mills et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Comparison of gridded sea surface temperature datasets for marine ecosystem studies

Boehme¹,

Lonergan²,

Todd³

2014

Mar. Ecol. Prog. Ser.

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In assessing impacts of a changing environment on the structure and functioning of marine ecosystems, the challenge remains to distinguish the effects of noise and of temporal and spatial autocorrelation from environmental drivers of biotic change. One analytical approach is to de-trend the data and use the resulting residuals; an alternative method involves use of the raw anomalies and a reduction of the degrees of freedom (df ) to make the hypothesis testing more conservative. Here, we assess the comparability of 3 gridded sea surface temperature (SST) datasets -ERSST V3b, HadISST, and OISST V2 -to in situ measurements. The 1° gridded HadISST and OISST V2 showed the highest similarity, while the weaker correlations with ERSST V3b probably are attributable to its coarser 2°grid. We investigated the performance of 2 commonly applied statistical methods to resolving autocorrelation, and proceeded to correlation analyses between the SST datasets and 2 contemporaneous 15 yr time-series of the somatic growth condition of annual cohorts of Atlantic salmon Salmo salar, which migrate to the Norwegian Sea. For these latter analyses, reducing df could not fully resolve the problem of high positive autocorrelation. The 3 oceanographic datasets do not provide the same correlative outcomes and levels of significance with the salmon time-series. When analysing time-series that pre-date the availability of satellite data, the choice of dataset is restricted to either ERSST V3b or HadISST; but for recent studies (1982 onwards) OISST V2 also is available, and it will be important to assess the relative merits of the 3 SST data sources when interpreting contrasting correlative outcomes.

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Synchrony in marine growth among Atlantic salmon (Salmo salar) populations

Cited by 38 publications

References 66 publications

Spawning-Age Differences and their Temporal Trends in Wild and Sea-Ranched Atlantic Salmon Stocks, from Stock Mixture Data

Spawning-Age Differences and their Temporal Trends in Wild and Sea-Ranched Atlantic Salmon Stocks, from Stock Mixture Data

Origin and life history of Atlantic salmon (Salmo salar) near their northernmost oceanic limit

Comparison of gridded sea surface temperature datasets for marine ecosystem studies

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