Climate change has driven multidecadal declines in lake levels in central Alberta, Canada
Bibliographic record
Abstract
Timoney, KP. 2024. Climate change has driven multidecadal declines in lake levels in central Alberta, Canada. Lake Reserv Manage. XX:XXX–XXX.This study examined water level data from 5 lakes in central Alberta to determine the timing and rates of change and to identify the causes for those changes. Over the past century, the estimated average levels of Beaverhill and Cooking lakes declined ∼3 m. Highest lake levels were observed ca. 1902–1904. Lake levels varied widely over the decades, punctuated by periods of high or low water conditions embedded within the longer term declines. Over the past 50 yr, average rates of lake drawdown were as follows: Miquelon −6.8 cm/yr, Cooking −4.4 cm/yr, Beaverhill −4.4 cm/yr, Hastings −0.9 cm/yr, and Ministik −0.7 cm/yr. Over time, annual temperature, evaporation, and net evaporation increased while annual precipitation, runoff, and Palmer Drought Severity Index (PDSI) decreased. Annual precipitation was significantly correlated with the levels of all 5 lakes, and with annual runoff and PDSI. Net evaporation was significantly correlated with temperature, runoff, PDSI, and the levels of all lakes but Ministik. Annual runoff was significantly correlated with the levels of all 5 lakes and PDSI. Conversely, neither annual temperature nor evaporation was correlated significantly with the annual lake levels. Annual levels of all 5 lakes were significantly correlated with each other. The lake level declines are part of a larger pattern of declining levels observed in other lakes in western North America over many decades. In central Alberta, data from several sources indicate accelerated rates of drawdown since the late 1970s to early 1980s at some lakes and accelerated declines since the mid to late 1990s at other lakes.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".