Small-scale harvest of big trees: impacts of land use changes over ~1300 years on SGang Gwaay, Haida Gwaii, B.C.
Bibliographic record
Abstract
Haida Gwaii (British Columbia, Canada) is the ancestral home of Haida people. At its southwestern extremity lies SGang Gwaay, a small island of ~3 km2, and SGang Gwaay Llnagaay (UNESCO World Heritage Site), a village inhabited until the 1888 CE smallpox epidemic. We investigated vegetation and limnological changes on SGang Gwaay over ~1300 years with paleolimnological methods integrating sterols, stanols, stable carbon (C) isotopes, inferred lake-water total organic carbon (TOC), diatoms, and chlorophyll a. Changes were interpreted with respect to historical events and existing lake sediment palynological records aimed to understand long-term trends in C allocations to the pond. Stable C isotopes, C/N, sitosterol, and campesterol indicate that, historically, pond C was primarily from terrestrial plants. Trends in these proxies changed in the 13th century, after the expansion of the village and increased harvest of western red cedar (Thuja plicata). After ca. 1625 CE, sitosterol/campesterol and chlorophyll a indicate a transition to increased autochthonous C sources. Diatom assemblages after ca. 1388 CE suggest changes in light availability and increased water mixing, as a tychoplanktonic taxon dominates. Our results demonstrate that land -use changes on the island, including small-scale tree harvest, impacted C inputs to the pond and aquatic primary production.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".