Rapid riparian vegetation development and channel stabilization linked to glacier retreat within a large transboundary watershed
Bibliographic record
Abstract
Abstract River floodplains are dynamic mosaics of aquatic and riparian habitats maintained by flow regimes and sediment processes, but these floodplains may be rapidly shifting with climate change. Specifically, previous work has highlighted that glacier retreat can be associated with river channel and floodplain change. Within a large and glacially influenced watershed, the Taku Watershed of northwestern British Columbia and southeastern Alaska, we used remote sensing and Geographic Information System (GIS) to quantify four decades of annual floodplain habitat composition and river channel patterns in 16 subwatersheds that naturally varied in their glacier coverage and other landscape (e.g., floodplain elevation, slope) and climate variables (e.g., temperature, precipitation). We discovered rapid development of floodplain vegetation and increased habitat stability in subwatersheds with higher glacial coverage, and a lack of directional change in other subwatersheds. Floodplain vegetation coverage almost doubled over 38 years in subwatersheds with the highest glacier coverage. Focal analyses revealed that river channel structure also shifted in glacierized subwatersheds, with decreases in habitat turnover rate, water occupancy and some evidence for decreasing levels of channel braiding. A large landslide (1.5 km runout, 130 ha) during the study period caused a local disturbance to one of the floodplains, but with little immediate broader impacts at the scale of the entire floodplain. Collectively, climate change and associated glacier retreat are leading to the rapid transformation of floodplain ecosystems, with major implications for the habitat of important species such as migratory salmon.
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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) | 0.000 | 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".