Spatial synchrony in the response of a long range migratory species (Salmo salar) to climate change in the North Atlantic Ocean. (12th January 2020)

• Record Type: Journal Article
• Authors: Olmos, Maxime; Payne, Mark R.; Nevoux, Marie; Prévost, Etienne; Chaput, Gérald; Du Pontavice, Hubert; Guitton, Jérôme; Sheehan, Timothy; Mills, Katherine; Rivot, Etienne
• Is Part Of: Global change biology. Volume 26:Number 3(2020)
• Page Start: 1319
• Page End: 1337
• Publication Date: 2020-01-12
• Subjects: Atlantic salmon -- bottom‐up -- climate change -- environmentally driven changes -- hierarchical Bayesian model -- marine survival -- spatial covariation -- stage‐based life cycle model; Climatic changes -- Environmental aspects -- Periodicals; Troposphere -- Environmental aspects -- Periodicals; Biodiversity conservation -- Periodicals; Eutrophication -- Periodicals; 551.5
• DOI: 10.1111/gcb.14913
• Languages: English
• ISSNs: 1354-1013

Abstract

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. Abstract : This paper investigates the environmental drivers of the widespread decline in marine survival rates of Atlantic salmon ( Salmo salar ) over the last four decades by exploring how environmental conditions encountered by salmon in different space–time domains along their migration routes explain the synchronous/asynchronous variations of marine survival. Results highlight a high degree of synchrony (37%) in salmon marine survival. This synchronous decline is driven by environmental factors (sea surface temperature, <0 correlation and primary production, >0 correlation) affecting salmon in the feeding grounds where multiple populations forage together, in the Labrador Sea for North American salmon, and in the Norwegian Sea for the European ones.