2022
DOI: 10.3389/fmars.2022.923088
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Utility of Dendrochronology Crossdating Methods in the Development of Arctic Coralline Red Algae Clathromorphum compactum Growth Increment Chronology for Sea Ice Cover Reconstruction

Abstract: Paleoclimate and paleoenvironmental reconstructions from increment-yielding archives strongly depend on precise age models. Like bivalves, corals, trees, and speleothems, the coralline alga Clathromorphum compactum produces annual growth increments and shows considerable promise as an environmental archive for arctic and subarctic regions. Though their growth increment widths correlate with temperature and sea ice cover in high Arctic regions, existing timeseries have not been crossdated. In fact, previous stu… Show more

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Cited by 6 publications
(12 citation statements)
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“…Right plot shows Beechey Island region enlarged. (b) Plotted algal growth increment timeseries (black: anomalies = (annual value − average)/standard deviation) and NSIDC sea‐ice concentrations (blue: 75 km 2 around Beechey Island site) (see Leclerc et al., 2022 for original figure of subplot B). Growth anomalies are plotted inversely.…”
Section: Resultsmentioning
confidence: 99%
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“…Right plot shows Beechey Island region enlarged. (b) Plotted algal growth increment timeseries (black: anomalies = (annual value − average)/standard deviation) and NSIDC sea‐ice concentrations (blue: 75 km 2 around Beechey Island site) (see Leclerc et al., 2022 for original figure of subplot B). Growth anomalies are plotted inversely.…”
Section: Resultsmentioning
confidence: 99%
“…Line scans were ablated (5 μm/second) along the growth axis, using an aperture size of 10 × 70 μm, and a 10 Hz laser pulse rate ( see details in Hetzinger et al., 2011). Age models were constructed with crossdating methods (Leclerc et al., 2022; Text S1 in Supporting Information ). In addition, prior to 1880, only sample 41, providing the longest continuous chronology, was used to extend the record back to 1805.…”
Section: Algal Data Preparation and Analysis Methodsmentioning
confidence: 99%
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“…The strong relationship between year-to-year variability in annual sea-ice extent and algal growth has allowed for the reconstruction of sea-ice variability in the High Arctic through time using a combination of both skeleton growth band anomalies and Mg/Ca anomalies in this species through time (Halfar et al, 2013;Hetzinger et al, 2019;Leclerc et al, 2022a;Leclerc et al, 2022b). Leclerc et al (2022b) for instance, find strong correlations between growth band thickness (growth anomalies) and summer sea-ice concentrations in three crossdated specimens of C. compactum from Beechey Island, Nunavut.…”
Section: Introductionmentioning
confidence: 99%
“…The strong relationship between year-to-year variability in annual sea-ice extent and algal growth has allowed for the reconstruction of sea-ice variability in the High Arctic through time using a combination of both skeleton growth band anomalies and Mg/Ca anomalies in this species through time (Halfar et al, 2013;Hetzinger et al, 2019;Leclerc et al, 2022a;Leclerc et al, 2022b). Leclerc et al (2022b) for instance, find strong correlations between growth band thickness (growth anomalies) and summer sea-ice concentrations in three crossdated specimens of C. compactum from Beechey Island, Nunavut. However, the laboratory experiment of Williams et al (2018) also illustrates that light availability may have a large control not only on the growth and calcification of this marine alga, as previously illustrated, but also on the incorporation of Mg/Ca into the skeleton, adding uncertainty to the Mg/Ca proxy for reconstructing both seawater temperature and sea-ice extent.…”
Section: Introductionmentioning
confidence: 99%