Literature DB >> 31701595

Spatial synchrony in the response of a long range migratory species (Salmo salar) to climate change in the North Atlantic Ocean.

Maxime Olmos1,2, Mark R Payne3, Marie Nevoux1,2, Etienne Prévost2,4, Gérald Chaput5, Hubert Du Pontavice1,6, Jérôme Guitton1, Timothy Sheehan7, Katherine Mills8, Etienne Rivot1,2.   

Abstract

A major challenge in understanding the response of populations to climate change is to separate the effects of local drivers acting independently on specific populations, from the effects of global drivers that impact multiple populations simultaneously and thereby synchronize their dynamics. We investigated the environmental drivers and the demographic mechanisms of the widespread decline in marine survival rates of Atlantic salmon (Salmo salar) over the last four decades. We developed a hierarchical Bayesian life cycle model to quantify the spatial synchrony in the marine survival of 13 large groups of populations (called stock units, SU) from two continental stock groups (CSG) in North America (NA) and Southern Europe (SE) over the period 1971-2014. We found strong coherence in the temporal variation in postsmolt marine survival among the 13 SU of NA and SE. A common North Atlantic trend explains 37% of the temporal variability of the survivals for the 13 SU and declines by a factor of 1.8 over the 1971-2014 time series. Synchrony in survival trends is stronger between SU within each CSG. The common trends at the scale of NA and SE capture 60% and 42% of the total variance of temporal variations, respectively. Temporal variations of the postsmolt survival are best explained by the temporal variations of sea surface temperature (SST, negative correlation) and net primary production indices (PP, positive correlation) encountered by salmon in common domains during their marine migration. Specifically, in the Labrador Sea/Grand Banks for populations from NA, 26% and 24% of variance is captured by SST and PP, respectively and in the Norwegian Sea for populations from SE, 21% and 12% of variance is captured by SST and PP, respectively. The findings support the hypothesis of a response of salmon populations to large climate-induced changes in the North Atlantic simultaneously impacting populations from distant continental habitats.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  Atlantic salmon; bottom-up; climate change; environmentally driven changes; hierarchical Bayesian model; marine survival; spatial covariation; stage-based life cycle model

Year:  2020        PMID: 31701595     DOI: 10.1111/gcb.14913

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  2 in total

1.  Ecological regime shift in the Northeast Atlantic Ocean revealed from the unprecedented reduction in marine growth of Atlantic salmon.

Authors:  Knut Wiik Vollset; Kurt Urdal; Kjell Utne; Eva B Thorstad; Harald Sægrov; Astrid Raunsgard; Øystein Skagseth; Robert J Lennox; Gunnel M Østborg; Ola Ugedal; Arne J Jensen; Geir H Bolstad; Peder Fiske
Journal:  Sci Adv       Date:  2022-03-04       Impact factor: 14.136

Review 2.  Nutrient limitation in Atlantic salmon rivers and streams: Causes, consequences, and management strategies.

Authors:  Fionn R Bernthal; John D Armstrong; Keith H Nislow; Neil B Metcalfe
Journal:  Aquat Conserv       Date:  2022-03-29       Impact factor: 3.254

  2 in total

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