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Record W7028579698

Evaluating the role of local climate change on reduced freshwater availability at the Peace-Athabasca Delta using paleolimnology

2022· dissertation· en· W7028579698 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2022
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPaleolimnologyDeltaClimate changeWetlandFlood mythHydrology (agriculture)Drainage basinWater cycleEnvironmental change
DOInot available

Abstract

fetched live from OpenAlex

Abundant small, shallow lakes across northern freshwater landscapes are particularly sensitive to alteration of hydrological processes, which makes them vulnerable to multiple potential stressors. At the Peace-Athabasca Delta (PAD; Treaty 8; northeastern Alberta), a Ramsar Wetland of International Importance, lake drying and associated ecological consequences present a critical water security concern due to potential stressors such as climate change and upstream industrial projects. Hydrometric, paleolimnological, and other studies have identified multiple mechanisms that have contributed to lake drying to varying degrees during the past century including upstream river regulation, climate driven changes in flood frequency and magnitude, geomorphic change in distributary flow, and contraction of Lake Athabasca from low lying areas of the PAD. The many mechanisms at play within the delta have made it challenging to distinguish the relative role of local hydroclimatic processes and conditions (i.e., catchment runoff, precipitation, evaporation, relative humidity) on lake drying at the PAD. This study focuses on identifying intervals when local hydroclimate has increased evaporation of lakes during the past ~400 years using paleolimnological analysis at four hydrologically isolated lakes adjacent to the PAD. Then, to determine the relative role of local hydroclimate in lake drying at the PAD, paleohydrological records from the study lakes were compared to paleohydrological data and contemporary hydrological monitoring records from perched basins within the PAD that exhibit recent drying. Specific intervals of interest include previously identified episodes of drying in the PAD during the Little Ice Age (LIA; 1600-1900 CE) and during the twentieth (1900-2000 CE) and twenty-first (2000-2019 CE) centuries. Lake water oxygen isotope composition was reconstructed from cellulose oxygen isotope composition (cellulose-inferred ẟ18Olw). Stratigraphic intervals of cellulose-inferred ẟ18Olw values > 1 standard deviation above the lake-specific long-term mean were considered intervals more strongly influenced by evaporation. These ‘intervals of 18O enrichment’ were identified at two or more study lakes during the early LIA, late LIA, and since ca. 1995 and correspond to reconstructions of low relative humidity from tree ring records. Results identify that local hydroclimate contributed, in part, to lake drying in the PAD during the early LIA but was offset by increased influence of river floodwaters during the late LIA. During the twentieth century, local hydroclimate appears to have played little to no role in drying trends at lakes in the PAD, whereas a significant trend in cellulose-inferred ẟ18Olw values at one study lake during the past two decades suggests local hydroclimate may have contributed marginally to very recent lake drying trends. Importantly, twentieth century PAD lake drying does not appear to be influenced markedly by local hydroclimate; rather, increased evaporation at PAD lakes has been driven primarily by reduced frequency and magnitude of flooding. This research informs ongoing policy and conservation decisions by discerning the influence of local hydroclimate on lake-level drawdown within the PAD.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.244
Teacher spread0.216 · 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
Published2022
Admission routes1
Has abstractyes

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