ECOHYDROLOGICAL CONTROLS ON PEATLAND OVERWINTERING HABITAT
Bibliographic record
Abstract
Herpetofauna at their northern range limit must seek refuge from harsh winters by selecting suitable overwintering habitat. In the Eastern Georgian Bay region of Ontario, semi-aquatic reptiles such as the Eastern Massasauga rattlesnake (Sistrurus catenatus) often overwinter in raised peatland hummocks which can avoid prolonged periods of flooding while having great insulating properties and suitable moisture conditions due to proximity to the water table. However, climate change threatens the persistence of suitable overwintering conditions in hummock hibernacula due to changing winter weather conditions. We monitored overwintering conditions in 10 Eastern Georgian Bay peatlands for six winters from 2018–2024 by tracking the life or resilience zone - the space above the water table and below the 0 °C isotherm. We monitored micrometeorological variables to identify their influence on resilience zone dynamics and predicted how resilience zone dynamics would change under different climate change scenarios based on the IPCC’s shared socioeconomic pathways (SSPs). We predicted that both water tables and 0 °C isotherms would rise under SSP2-4.5 and SSP5-8.5, though some peatlands were predicted to experience a drop in water table position, and the degree of 0 °C isotherm rise differed by peatland. This highlights that some peatlands exhibit greater resilience against climate change compared to others which has implications for the future availability of suitable snake overwintering habitat. We also tested the influence of site-specific characteristics on overwintering conditions. At the microhabitat scale, hummock height and shrub cover were associated with resilience zone size and availability and at the macrohabitat scale, smaller peatlands with proportionally small watersheds and large outflows were associated with suitable overwintering conditions. This research contributes to our understanding of ecohydrological influences on massasauga overwintering conditions across spatial scales and highlights the importance of considering habitat ecohydrology for effective habitat conservation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".