Marine climate in the Irish Sea: analysis of a 489-year marine master chronology derived from growth increments in the shell of the clam Arctica islandica

Butler, Paul; Richardson, Christopher A.; Scourse, James; Wanamaker, Alan D.; Shammon, T. M.; Bennell, J. D.

doi:10.1016/j.quascirev.2009.07.010

Cited by 124 publications

(105 citation statements)

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“…(Hiebenthal et al, 2012) to grow the clams. However, there are still uncertainties about the composition of the primary food source for this species (Butler et al, 2010). Even though it is challenging to determine the preferred algal species, our results show that the use of a mixture of different algal species results in significantly faster shell growth than the used of just one algal species.…”

Section: Environmental Influence On Shell Growthmentioning

confidence: 75%

“…Numerous previous studies demonstrated that the growth rate of A. islandica is linked to environmental variables (e.g., Witbaard et al, 1997Witbaard et al, , 1999Schöne et al, 2004;Butler et al, 2010;Mette et al, 2016). However, the relative importance of the main factors, temperature and food supply/quality driving shell formation are still not well understood.…”

Section: Environmental Influence On Shell Growthmentioning

confidence: 99%

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The effects of environment on <i>Arctica islandica</i> shell formation and architecture

et al. 2017

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Abstract. Mollusks record valuable information in their hard parts that reflect ambient environmental conditions. For this reason, shells can serve as excellent archives to reconstruct past climate and environmental variability. However, animal physiology and biomineralization, which are often poorly understood, can make the decoding of environmental signals a challenging task. Many of the routinely used shell-based proxies are sensitive to multiple different environmental and physiological variables. Therefore, the identification and interpretation of individual environmental signals (e.g., water temperature) often is particularly difficult. Additional proxies not influenced by multiple environmental variables or animal physiology would be a great asset in the field of paleoclimatology. The aim of this study is to investigate the potential use of structural properties of Arctica islandica shells as an environmental proxy. A total of 11 specimens were analyzed to study if changes of the microstructural organization of this marine bivalve are related to environmental conditions. In order to limit the interference of multiple parameters, the samples were cultured under controlled conditions. Three specimens presented here were grown at two different water temperatures (10 and 15 • C) for multiple weeks and exposed only to ambient food conditions. An additional eight specimens were reared under three different dietary regimes. Shell material was analyzed with two techniques; (1) confocal Raman microscopy (CRM) was used to quantify changes of the orientation of microstructural units and pigment distribution, and (2) scanning electron microscopy (SEM) was used to detect changes in microstructural organization. Our results indicate that A. islandica microstructure is not sensitive to changes in the food source and, likely, shell pigment are not altered by diet. However, seawater temperature had a statistically significant effect on the orientation of the biomineral. Although additional work is required, the results presented here suggest that the crystallographic orientation of biomineral units of A. islandica may serve as an alternative and independent proxy for seawater temperature.

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Section: Environmental Influence On Shell Growthmentioning

confidence: 75%

Section: Environmental Influence On Shell Growthmentioning

confidence: 99%

The effects of environment on <i>Arctica islandica</i> shell formation and architecture

et al. 2017

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“…The growth record of shell AI-EgLo-02 was detrended using a cubic spline (JMP software, version 9.0.1 by SAS Institute Inc. 2007), and a standardized growth index (SGI) was calculated following Butler et al (2010). The subsequent frequency analysis was conducted using kSpectra software (version 3.4 by SpectraWorks) with settings according to Ivany et al (2011) and applying a Singular Spectrum Analysis (SSA) and the Multi Taper Method (MTM).…”

Section: Frequency Analysismentioning

confidence: 99%

“…A test for preservation in fossil specimens-e.g., by using CRM-should be obligatory. The shell of A. islandica can additionally be used for a frequency analysis (e.g., Multi Taper Method) of the annual growth pattern, allowing the identification of decadal variabilities, such as a 5-year quasi-periodic signal with increasing frequency, providing environmental information on daily to multicentennial time-scales (Schöne et al 2005b;Hallmann et al 2009;Butler et al 2010). For this purpose, analyses of the anatomical-morphological features of the skeletal hard parts-such as growth patterns and crystal structures-are commonly combined with geochemical analyses (e.g., stable isotopes, trace elements).…”

mentioning

confidence: 99%

Bivalve Shells—Unique High-Resolution Archives of the Environmental Past

Beierlein

Nehrke

Trofimova

et al. 2015

Towards an Interdisciplinary Approach in Earth System Science

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Understanding the climate of the past is essential for anticipating future climate change. Palaeoclimatic archives are the key to the past, but few marine archives (including tropical corals) combine long recording times (decades to centuries) with high temporal resolution (decadal to intra-annual). In temperate and polar regions carbonate shells can perform the equivalent function as a proxy archive as corals do in the tropics. The bivalve Arctica islandica is a particularly unique bio-archive owing to its wide distribution throughout the North Atlantic and its extreme longevity (up to 500 years). This paper exemplifies how information at intra-annual and decadal scales is derived from A. islandica shells and combined into a detailed picture of past conditions. Oxygen isotope analysis (δ 18 O) provides information on the intra-annual temperature cycle while frequency analysis of shell growth records identifies decadal variability such as a distinct 5-year signal, which might be linked to the North Atlantic Oscillation.

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“…The variability in the shells growth increment widths, which are the portions of shell between consecutive growth lines (Schöne 2013), and in the geochemical signature from the shell material ( 14 C, δ 18 O, δ 13 C) relates to changes in environmental conditions (Witbaard and Klein 1994;Schöne et al 2011;Wanamaker et al 2011). In addition to the high temporal resolution of Arctica islandica, the reconstructions derived from its records can be crossvalidated, absolutely dated (Scourse et al 2006;Butler et al 2010) and offer significant advantages in evaluating long-term NA marine climate dynamics ). Records of Arctica islandica can be used to reconstruct sea water temperatures (Eagle et al 2013;Wanamaker et al 2016), salinity (Gillikin et al 2006), major NA climate modes like the Atlantic Multidecadal Oscillation (AMO) , ocean dynamics (see for NAO in Schöne et al 2003; see for AMOC in; Wanamaker et al 2012), hydrographic changes and ecosystem dynamics (Witbaard 1996;Witbaard et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of CMIP5 models over the northern North Atlantic in the context of forthcoming paleoclimatic reconstructions

2017

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We evaluated 11 coupled climate model simulations regarding the spatial structures of sea-surface temperature (SST) variability in the North Atlantic, during the second half of the twentieth century. The subset of models includes CCSM4, CSIRO, CanESM and MPI-ESM, participating in the fifth phase of the Climate Model Intercomparison Project. The evaluation was performed to determine the potential of these models to be used at a later stage as test beds for the evaluation of climate field reconstruction methods that will use the extremely long-lived bivalve mollusk Arctica islandica, an outstanding paleoclimate archive for the boreal and temperate North Atlantic (Schöne, Glob Planet Change 111:199–225, 2013). Several validation metrics such as the mean bias, variance, spatial and temporal co-variability and trends of the North Atlantic summer SSTs showed that some of the models can be used to test paleoclimatic reconstructions. However, most models showed shortcomings in simulating the Atlantic Multidecadal Oscillation. Concerning the co-variability of summer SSTs between proxy sites and the whole North Atlantic SST field, we found that these proxy locations contain a SST signal that might represent a (basin-wide) signal for the north-eastern North Atlantic basin

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Marine climate in the Irish Sea: analysis of a 489-year marine master chronology derived from growth increments in the shell of the clam Arctica islandica

Cited by 124 publications

References 40 publications

The effects of environment on <i>Arctica islandica</i> shell formation and architecture

The effects of environment on <i>Arctica islandica</i> shell formation and architecture

Bivalve Shells—Unique High-Resolution Archives of the Environmental Past

Evaluation of CMIP5 models over the northern North Atlantic in the context of forthcoming paleoclimatic reconstructions

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Marine climate in the Irish Sea: analysis of a 489-year marine master chronology derived from growth increments in the shell of the clam Arctica islandica

Cited by 124 publications

References 40 publications

The effects of environment on &lt;i&gt;Arctica islandica&lt;/i&gt; shell formation and architecture

The effects of environment on &lt;i&gt;Arctica islandica&lt;/i&gt; shell formation and architecture

Bivalve Shells—Unique High-Resolution Archives of the Environmental Past

Evaluation of CMIP5 models over the northern North Atlantic in the context of forthcoming paleoclimatic reconstructions

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The effects of environment on <i>Arctica islandica</i> shell formation and architecture

The effects of environment on <i>Arctica islandica</i> shell formation and architecture