Functional paleoecology and allochthonous inputs in high latitude lake food webs
Bibliographic record
Abstract
Arctic freshwaters are subject to large scale changes triggered by ongoing climate change, including lengthening of the growing season, alterations of thermal regimes and biochemical rearrangements. Better understanding of biological responses to ongoing changes may rise from the past. This paleolimnological work examines functional assemblage structures and their diversity in high latitude lakes from subarctic Finland (spatial dataset of 25 lakes and a core from Lake Loažžejávri) and Arctic Canada (a core from Greiner Lake) in reference to long-term environmental change. Furthermore, responses of benthic functional assemblages to allochthonous inputs (carbon, nutrients), which are predicted to increase along the proceeding climate change, were investigated. In subarctic Finland, chironomid (Diptera: Chironomidae) functional feeding groups (FFG) were found to have different preference for nutrient and carbon based variables, suggesting that they are potential habitat indicators. Resource utilization of chironomids, as revealed by spatial and temporal stable isotope (C and N) modelling, was controlled primarily by availability of resources and secondarily by selective assimilation of different carbon pools, however no strong connection to FFG structure was detected. Regardless, allochthonous carbon input affected resource utilization by increasing allochthony and FFG distribution by habitat changes. External nutrient loads increased productivity in the study lakes, and from the ontogeny of Greiner Lake marine nutrients were found particularly important. This suggests that rising sea level, exposing low-lying coastal lakes to marine influence, may contribute to greening of Arctic from the aquatic perspective. These findings build towards better understanding of past food web functioning and associated responses to environmental change and altered energy flows under influence of multiple stressors. Keywords: Arctic; Chironomidae; environmental change; nutrients; organic carbon; resource utilization; stable isotopes
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".