Quantifying the vertical water exchange of dominant tree species in a reclaimed landscape in the Athabasca oil sands region, Alberta
Bibliographic record
Abstract
Abstract Large‐scale oil sands mining in the Athabasca oil sands region has caused significant disturbance to forest and peatland ecosystems of the Western Boreal Plains in northeastern Alberta, Canada. Reclamation of these ecosystems has faced many challenges, including successful re‐vegetation of uplands. The trajectory of reclaimed uplands depends on the community structure of tree species, which in turn influences vertical water exchanges via increases in rainfall interception and transpiration. The trajectory therefore influences vadose zone moisture dynamics and reduces water available for recharge to adjacent reclaimed peatlands. The objectives of this study were to assess trends in transpiration of dominant tree species in a reclaimed upland and quantify canopy–rainfall dynamics and its impact on near‐surface soil moisture regime and tree water use. To assess these trends, throughfall, interception and stemflow were measured throughout the growing season. Tree transpiration was measured using sap flow sensors, along with soil tension measurements using soil tensiometers. Results indicate that tree transpiration and water use are controlled by water availability, and at this stage (6 years since reclamation), canopy interception has begun to play an important role in partitioning growing season rainfall. At this time in canopy development, transpiration accounted for 52% of water losses from the system, with broadleaf trees contributing 71%. However, coniferous trees had greater interception capabilities, as Picea mariana intercepted 35% and Pinus banksiana 32%, while broadleaf Populus tremuloides and Populus balsamifera contributed 29% and 26%, respectively. As this reclaimed upland canopy continues to evolve, moisture partitioning, including groundwater recharge to the adjacent fen will continue to change over time, suggesting that the successional pathway of constructed watersheds is strongly influenced by hydrometeorological conditions within the first decade.
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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 | 0.001 | 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 | 0.001 | 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".