Impacts of anthropogenic pressures on mountain lake underwater light conditions and diatom functional groups
Bibliographic record
Abstract
Solar radiation fuels primary production and carbon uptake in aquatic environments, but shorter ultraviolet radiation (UVR) wavelengths may cause adverse effects and trigger photoprotective mechanisms in organisms inhabiting lakes. In sensitive mountain lakes, ice cover and dissolved organic matter (DOM) mainly control underwater light conditions. Climate warming and other anthropogenic pressures impact the length of the ice cover period and the concentration and composition of DOM. A prolonged growing season with increased light availability may change habitat availability and drive changes in the functional group distribution of phototrophic communities. However, the roles of changing habitats and possible adverse effects of UVR as drivers of micro-algae functional group distributions have not been separated, and lake studies have thus far mainly focused on species specific sensitivities. This study focuses on changes in underwater light conditions and UVR exposure during the past ~200 years and the impacts on functional group distributions of diatom (Bacillariophyceae) communities in two mountain lakes with different altitude and catchment size. Dated short sediment cores from each lake were analysed for elemental composition and stable isotopes of carbon and nitrogen, as well as sediment-inferred lake water total organic carbon (TOC) and chlorophyll-a. Diatoms were analysed to the species level and further divided into eco-morphological groups to investigate parallel changes in diatom functional group distributions. Geochemical proxies were used to describe trends in lake water transparency and duration of ice cover period. In addition, changes in diatom functional group distributions were analysed from the main habitat in the shallow littoral zone to detect diatom functional groups tolerances to high UVR. Anthropogenic pressure was identified as a likely driver of sediment-inferred lakewater TOC concentration changes within the past ~200 years, suggesting changes in light conditions and UVR. Diatom functional group distributions in the lake located at higher altitude with a smaller catchment showed an increase of planktic life-forms within the past ~100 year, which may be related to shortening of the ice cover period. Earlier studies have shown trade-offs between motility and photoprotective capacity, but in this study clear differences between occurrences of motile or non-motile functional groups in the shallow littoral zone were not found. Based on these results, further research with broader habitat sampling is needed to separate the roles of habitat availability and UVR, and their roles affecting the distribution of diatom functional groups.
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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 | 0.001 |
| 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".