Persistent Multidecadal Variability Since the 15th Century in the Southern Barents Sea Derived From Annually Resolved Shell‐Based Records

Mette, Madelyn; Wanamaker, Alan D.; Retelle, Michael J.; Carroll, Michael L.; Andersson, Carin; Ambrose, William G.

doi:10.1029/2020jc017074

Cited by 10 publications

(11 citation statements)

References 104 publications

(223 reference statements)

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“…Variability in Atlantic OHT is responsible for the interannual variability SIE in the Barents Sea (Årthun et al, 2012, 2019). The impact of the Atlantic multidecadal variability on the Arctic SIE has been highlighted especially for Barents Sea ocean surface temperature and ice extent (Årthun et al, 2019;Drinkwater et al, 2014;Mette et al, 2021) and the Greenland Ice Sheet (Drinkwater et al, 2014). Pacific Waters also play a key role in sea ice loss: for instance, Woodgate et al (2010) argued that a doubling of ocean heat flux through the Bering Strait between 2001 and 2007 was responsible for a third of the 2007 seasonal sea ice loss.…”

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confidence: 99%

Impact of Ocean Heat Transport on Arctic Sea Ice Variability in the GFDL CM2‐O Model Suite

2022

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The impact of horizontal resolution on meridional Ocean Heat Transport (OHT) and sea ice in the Arctic is investigated using the GFDL CM2‐O climate model suite (1°, 1/4°, and 1/10°) in both preindustrial control and climate change simulations. Results show an increase in OHT associated to a decrease in sea ice extent (SIE) in the Arctic on interannual and decadal timescales. This link, however, is not monotonic with spatial resolution. While OHT increases and SIE decreases from the Low to the Medium resolution, the reverse is true from the Medium to the High resolution. Differences in OHT and SIE between the three model configurations mostly arise from the preindustrial state. As the spatial resolution increases, the Irminger Current is favored at the expense of the North Atlantic Drift. This rerouting of water to the Western side of Greenland results in less heat delivered to the Arctic in the High‐resolution configuration than in its Medium counterpart. As a result, the Medium‐resolution configuration is in best agreement with observed SIE and Atlantic OHT. Concurrent with the change in the partitioning in volume is a change in deep convection centers from the Greenland‐Irminger‐Norwegian Seas in the Low resolution to the Labrador Sea in the Medium and High resolutions. Results suggest a coupling between OHT into the Arctic and deep convection in the North Atlantic.

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confidence: 99%

Impact of Ocean Heat Transport on Arctic Sea Ice Variability in the GFDL CM2‐O Model Suite

2022

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“…Density dependence was considered in a later set of models for the subset of populations where F I G U R E 3 Time series of EOF-2 (second empirical orthogonal function of sea surface temperature) overlaid on the age-specific growth synchrony index (Syndex) for cod stocks in the Faroe Islands, FAR (a), Norway, NOR (b), Greenland, GRE (c) and Iceland, ICE (d). The detrended Norwegian bivalve (Arctica islandica) growth chronology (Mette et al, 2021) (e) shows growth anomalies relative to long-term mean growth, rather than synchrony. EOF2 in (e) is inverted.…”

Section: Resultsmentioning

confidence: 99%

“…Shells from the marine bivalve, Arctica islandica, were collected from a 0.5 km 2 area at Ingøya, Norway (71 03.734 0 N, 24 05.895 0 E; $10 m water depth) between June 2009 and June 2015 (Mette et al, 2021) and from Faxafl oi, southwest Iceland (64 21.960 0 N, 23 7.046 0 W, $102 m water depth) in July 2015 and August 2016. Shells were sectioned along the maximum growth axis and embedded in clear epoxy.…”

Section: Bivalve Growth Chronologiesmentioning

confidence: 99%

“…Growth increments were imaged, measured, and visually crossdated along the outer shell margin and/or hinge plate along the maximum growth axis. Measurement series for the Norway and Icelandic shell growth chronologies were treated with trimming of the first 40 and at least the first 2 juvenile increments, respectively, and removing the ontogenetic growth trend (detrending using modified negative exponential functions) (Mette et al, 2021). Standard chronologies were computed using the software package ARSTAN v44 (Cook et al, 2017) and then scaled to have zero mean and a standard deviation (SD) of 1.…”

Section: Bivalve Growth Chronologiesmentioning

confidence: 99%

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Growth portfolios buffer climate‐linked environmental change in marine systems

Campana

Smoliński

Black

et al. 2023

Ecology

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Large‐scale, climate‐induced synchrony in the productivity of fish populations is becoming more pronounced in the world's oceans. As synchrony increases, a population's “portfolio” of responses can be diminished, in turn reducing its resilience to strong perturbation. Here we argue that the costs and benefits of trait synchronization, such as the expression of growth rate, are context dependent. Contrary to prevailing views, synchrony among individuals could actually be beneficial for populations if growth synchrony increases during favorable conditions, and then declines under poor conditions when a broader portfolio of responses could be useful. Importantly, growth synchrony among individuals within populations has seldom been measured, despite well‐documented evidence of synchrony across populations. Here, we used century‐scale time series of annual otolith growth to test for changes in growth synchronization among individuals within multiple populations of a marine keystone species (Atlantic cod, Gadus morhua). On the basis of 74,662 annual growth increments recorded in 13,749 otoliths, we detected a rising conformity in long‐term growth rates within five northeast Atlantic cod populations in response to both favorable growth conditions and a large‐scale, multidecadal mode of climate variability similar to the East Atlantic Pattern. The within‐population synchrony was distinct from the across‐population synchrony commonly reported for large‐scale environmental drivers. Climate‐linked, among‐individual growth synchrony was also identified in other Northeast Atlantic pelagic, deep‐sea and bivalve species. We hypothesize that growth synchrony in good years and growth asynchrony in poorer years reflects adaptive trait optimization and bet hedging, respectively, that could confer an unexpected, but pervasive and stabilizing, impact on marine population productivity in response to large‐scale environmental change.

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“…Voronina et al (2001). Cool T in Southern Barents: Mette et al (2021). Figure 19 in Smedsrud et al (2013).…”

Section: -1850 Cementioning

confidence: 99%

A Driftwood‐Based Record of Arctic Sea Ice During the Last 500 Years From Northern Svalbard Reveals Sea Ice Dynamics in the Arctic Ocean and Arctic Peripheral Seas

Hole

Rawson

Farnsworth³

et al. 2021

JGR Oceans

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The Arctic is vulnerable to climatic changes on a range of temporal and spatial scales from geological to inter-annual, and a hotspot of warming under modern climate change due to the Arctic Amplification (Serreze & Francis, 2006) -a term for the feedbacks and interactions from the region's sea ice and snow cover resulting in enhanced and accelerated greenhouse gas-induced warming in the Arctic. Recent anthropogenic

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Persistent Multidecadal Variability Since the 15th Century in the Southern Barents Sea Derived From Annually Resolved Shell‐Based Records

Cited by 10 publications

References 104 publications

Impact of Ocean Heat Transport on Arctic Sea Ice Variability in the GFDL CM2‐O Model Suite

Impact of Ocean Heat Transport on Arctic Sea Ice Variability in the GFDL CM2‐O Model Suite

Growth portfolios buffer climate‐linked environmental change in marine systems

A Driftwood‐Based Record of Arctic Sea Ice During the Last 500 Years From Northern Svalbard Reveals Sea Ice Dynamics in the Arctic Ocean and Arctic Peripheral Seas

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