MétaCan
Menu
← Back to cohort
Record W4388762649 · doi:10.17760/d20486936

Improved understanding of high-latitude crustose coralline algal growth and application as high-resolution environmental archives

2023· dissertation· en· W4388762649 on OpenAlexafffundabout
Jessica Gould

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaMIT Sea Grant, Massachusetts Institute of TechnologyNational Science Foundation
KeywordsCrustoseCoralline algaeContext (archaeology)ArcticOcean acidificationOceanographySalinityEcologyBenthic zoneClimate changeEnvironmental scienceGeologyBiologyReefPaleontology

Abstract

fetched live from OpenAlex

Records of high latitude oceanic and climate dynamics obtained from high-resolution marine archives like the high arctic crustose coralline alga Clathromorphum compactum are invaluable for placing current environmental change in the context of historical variability. In addition to serving as an excellent marine archive, these algae also perform important ecosystem services by providing substrate and habitat for many benthic fauna, as well as contributing to regional primary productivity and carbon sequestration. This dissertation aims to advance our knowledge of the subannual-scale growth and calcification in the long-lived crustose coralline alga Clathromorphum compactum in the context of environmental change and historical reconstructions, and to explore novel proxies for building long-term high-resolution records of surface ocean temperature in the Canadian Arctic and northwest Atlantic Oceans. Chapter 1, "Experimental investigation of the effects of temperature, light, and salinity on rates of linear extension and calcification in the Arctic/Subarctic crustose coralline alga Clathromorphum compactum" examines the effects of environmental variability on algal calcification rates and growth. A 3-month controlled laboratory culturing experiment, isolating the effect of light level, salinity and temperature on net calcification and growth in algal specimens collected from Arctic Bay, Nunavut, Canada is presented. The experiment tests the specific hypotheses that (1) calcification is positively impacted by increased environmental temperature, (2) calcification is negatively impacted by reductions in salinity and (3) calcification rates are increased with increased light availability. The work elucidates C. compactum's potential response to expected warming, declining salinity, and lengthening of the growing season. Algal calcification rates were found to be best described by a combination of light exposure, salinity, and temperature, where temperature and salinity were positively correlated, and light level was negatively correlated with calcification rate. The results have implications for both the future fate of C. compactum in a changing Arctic, and for improved understanding of paleoceanographic records obtained from these algae. Chapter 2, "Growth as a function of sea ice cover, light and temperature in the arctic/subarctic coralline C. compactum: a year-long in situ experiment in the high arctic" expands knowledge of sub-annually resolved calcification and growth rates in C. compactum in the high Arctic. A yearlong in situ growth monitoring experiment was deployed in Arctic Bay, Nunavut, Canada (72°59.747', 85°04.589') to address gaps in our understanding of annual algal growth in regions with extensive sea-ice cover. Monthly algal growth rates were quantified in the context of variability in sea-ice cover (light) and seawater temperature. A new growth model is presented describing subannual growth in C. compactum in the high Arctic. On average 72 µm yr-1 of growth occurred in the algal community, with 54% of annual growth occurring during the sea-ice free, warm, summer months of June through September, 25% of the growth occurring during the dark, winter months of November through April, and ~21% of the growth occurring in the shoulder months of May and October. Importantly, although growth rates decline in cold, sea-ice covered, winter months, growth does not stop (i.e., we do not observe a consistent cessation of linear extension (calcification)) during the dark of winter. The findings presented inform both the proxy calibration and age-modeling of these important marine archives and reveal insights about the ecology of C. compactum in this changing high-latitude ecosystem. Chapter 3, "Investigation of subannually-resolved elemental paleothermometers in the high-latitude coralline alga Clathromorphum Compactum" aims to improve the accuracy and precision of high-resolution paleo-reconstructions of sea surface temperatures using C. compactum samples collected across a ca. 30° latitudinal range in the northwest Atlantic and Arctic Oceans. A new growth-adjusted age modelling technique was developed and tested to improve high-resolution age assignment of geochemical data in the algal skeleton. Several trace and minor elements were measured via laser ablation inductively coupled plasma mass spectrometry (LA-ICPMS) techniques and investigated as candidate paleothermometers (Mg/Ca, Sr/Ca, Na/Ca, Li/Ca, Mn/Ca, and Ba/Ca). Using nonlinear statistical techniques improved the calibration methods used for the Mg/Ca- and other paleothermometers in C. compactum when compared to linear calibration of the single Mg/Ca - SST proxy. Multivariate modeling was also explored to improve temperature prediction and resulted in similar uncertainty in temperature prediction as nonlinear models in one of the algal specimens examined here. As an example, the precision of the C. compactum paleothermometer for predicting summer temperature was increased in one algal sample from 1.3°C using a linear calibration model for Mg/Ca - SST to 0.5°C using the non-linear Mg/Ca - SST calibration model. Methods involved are discussed, with recommendations for further improvements.--Author's abstract

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.202
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes3
Has abstractyes

Explore more

Same topicMarine and coastal plant biology→French-language works237,207→