Limited functional responses of plankton food webs in northern lakes following diamond mining
Bibliographic record
Abstract
There is limited understanding of the impact of diamond mining on the aquatic communities of lakes that receive mining activity residue. For aquatic communities, assessing the response to mining, which can affect multiple variables concurrently, is not trivial, especially when a species-by-species approach is used. Thus, we assessed diamond mine impacts using changes in plankton functional composition, enabling an integrated evaluation of the ecological responses of aquatic ecosystems. Using a 19-year data set, we evaluated the functional responses of lake phytoplankton and zooplankton to water quality changes associated with mining activities in five downstream lakes of the Ekati Diamond Mine (Northwest Territories, Canada). Our results demonstrate that mining activity shifted phytoplankton functional composition toward edible diatoms and more recently the rotifer communities toward parallelepiped types, while for crustacean zooplankton we observed a reinforcement of the original functional composition. Following functional rather than taxonomic changes enabled a more mechanistic understanding of the processes behind the impacts and should facilitate the generalization of impacts to other sites, permitting comparison of community shifts caused by other types of mining.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".