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Record W4408430399 · doi:10.5194/egusphere-egu25-14257

Investigating mantle dynamics and lithospheric evolution in the Southern Canadian Cordillera: Insights from numerical modeling of the Cascadia subduction zone

2025· preprint· en· W4408430399 on OpenAlexaffabout
Claire A. Currie

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSubductionGeologyLithosphereMantle (geology)SeismologyHotspot (geology)GeophysicsEarth scienceTectonics

Abstract

fetched live from OpenAlex

The subduction of the Juan de Fuca Plate at the Cascadia subduction zone significantly influences the mantle dynamics and the structure of the overlying North American Plate. In southwest Canada, the Cordillera lithosphere is thin (60-70 km) with high surface heat flow, low mantle seismic velocity, and low mantle electrical resistivity for ~500 km inboard of the subduction zone. Magmatism and geological observations suggest that the Cordillera lithosphere has been thin for at least 30 Myr. The eastern limit of thin lithosphere approximately underlies the Rocky Mountain Trench. East of this, the Laurentian Craton is thick (>200 km), and recent seismic data show that the Cordillera Craton boundary is marked by subvertical to west-dipping lithospheric step.In this study, we investigate the effects of subduction and the lithosphere step on mantle dynamics and the evolution of the Cordillera lithosphere over the last 40 Myr. We use 2D thermal-mechanical models of ocean-continent subduction, where the domain is 3000 km wide and 660 km deep. We first test models where subduction of the Juan de Fuca plate occurs below a 60 km thick continent with no lateral variations, representing the Canadian Cordillera. These models show that if the mantle rheology is based on dry olivine, it has a relatively high viscosity, and the mantle flow field is dominated by subduction-driven corner flow. This results in a slow thickening of the backarc continental mantle lithosphere to nearly 90 km within 40 Myr. If a weaker (more hydrated) olivine rheology is used for the mantle, backarc thickening is inhibited by the development of small-scale convection (SSC). To maintain a ~65 km lithosphere, our models predict that the backarc mantle must be hydrated and weak (viscosity of 1018 – 1019 Pa s). In the second set of models, 200 km thick Craton lithosphere is added to the models. The presence of the lithosphere step at the Cordillera-Craton boundary induces edge-driven convection (EDC), which is enhanced for a hydrated mantle or weak craton mantle lithosphere. We find that EDC had only a secondary influence on the Cordillera lithosphere in the arc and central back arc regions, but EDC may be important for maintaining a sharp thermal contrast between the Cordillera and Craton.In the final set of models, we investigate the effects of subduction termination on mantle dynamics, using the model structure that includes the Craton lithosphere step. After plate convergence ceases, SSC and EDC continue for tens of millions of years, and these slow the cooling and thickening of the continent. However, even with a hydrated mantle, the Cordillera thickens to ~80 km after 40 Myr. This suggests that the central Canadian Cordillera lithosphere (north of the current subduction zone), where subduction terminated in the Eocene, may be somewhat cooler than the modern backarc to the south. Future work will focus on how the slab edge geometry of the Juan de Fuca plate influences mantle flow patterns and lithospheric structure in the Canadian Cordillera.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.180
Teacher spread0.169 · 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 designSimulation or modeling
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
Published2025
Admission routes2
Has abstractyes

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