Deconvolving Climatic and Non-Climatic Controls on Holocene Glacier and Ecological Change on Baffin Island, Arctic Canada
Bibliographic record
Abstract
The Arctic is warming at double the rate of the rest of the planet. Pronounced warming is causing dramatic changes in glacier extent and tundra ecosystems, which in turn contribute to positive feedbacks that further amplify climate change. In this dissertation, I look to the geologic record to critically assess how climate variability, as well as non-climatic factors, drove changes in the cryosphere and biosphere on Baffin Island, Arctic Canada, over the last ~10,000 years. Baffin Island is an ideal setting to investigate high-amplitude Arctic paleoenvironmental changes because 1) it is the locus of inception and final demise for the climatically-important Laurentide Ice Sheet; 2) it hosts a multitude of extant (and paleo-) glaciers and ice caps that respond sensitively to climate change; and 3) pristine lakes across the island contain continuous, datable sedimentary records of paleoclimate and paleoenvironmental change. The paleo perspective generated by this research provides important constraints on the rates and mechanisms of expected future environmental change across Arctic landscapes.\nIn order to investigate past glacier activity, I use cosmogenic 10Be to date moraines that were deposited on Baffin Island during the Holocene. In Chapter 2, 10Be ages on Neoglacial moraine complexes indicate that late Holocene cooling likely initiated glacier expansion before 5 ka. However, a spread in exposure ages suggests that post-depositional moraine degradation limits the precision of exposure dating in such settings. Numerical modeling offers additional insights into the glacial and geomorphic processes involved in the formation and evolution of ice-cored moraines. In chapter 3, I examine the glacial response to abrupt cooling during the otherwise warm early Holocene. Four moraines on eastern Baffin Island were deposited around the time of known cooling events centered on 9.3 and 8.2 ka, which were likely driven by disruptions to the Atlantic Ocean overturning circulation. I further examine the role of Baffin Bay sea surface conditions and the potential for a mechanical adjustment of tributary glacier profiles during regional deglaciation to contribute to short-lived early Holocene glacier advances.\nTo further our understanding of the links between climate and ecosystems, I then investigate tundra vegetation changes through the Holocene using ancient DNA extracted from lake sediment cores (sedaDNA). In Chapter 4, I assess the performance of this emerging technique in two Baffin Island lake sediment records that span the last ~7 ka and 12 ka, respectively. Metabarcoding using two genetic markers for plants reveals dynamic tundra communities at both sites. These results confirm that sedaDNA is sourced locally and is more reliable than traditional pollen-based approaches for determining the presence/absence of certain woody shrubs at high latitudes. In chapter 5, I combine a sedaDNA record from southern Baffin Island with a biomarker-based paleotemperature reconstruction to investigate postglacial landscape development. This combination of molecular proxies provides tight constraints on the colonization timing of dwarf birch and highlights a previously unrecognized migration lag relative to local deglaciation and warmest temperatures of the Holocene.\nTaken together, this research offers numerous valuable insights into how key features of the Arctic system, including mountain glaciers and tundra ecosystems, respond nonlinearly to climate variability on a variety of timescales, with clear implications for a changing Arctic today.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".