The impact of calcium decline on population growth rates of crustacean zooplankton in Canadian Shield lakes
Bibliographic record
Abstract
Abstract Within the last decade, calcium decline has emerged as a stressor for many soft water lakes. A legacy of long‐term acid deposition and logging, calcium decline has been implicated in the loss of large herbivores, such as Daphnia, and changes in community structure as taxa with presumed low calcium demand also increase. Although lake surveys, paleolimnological studies, and laboratory experiments have provided considerable evidence that declining Daphnia abundances are associated with low calcium concentration, causal relationships for zooplankton response to calcium decline have not been assessed using field experiments with natural zooplankton communities. We conducted a six‐week field experiment under low food conditions typical of Canadian Shield lakes, using four calcium concentrations (0.6 mg/L, 1.0 mg/L, 1.4 mg/L, and 2.4 mg/L) and zooplankton communities originating from eight lakes along a gradient from 1.78 mg Ca/L to 24.8 mg Ca/L, to examine the effect of calcium on growth rates and reproduction of individual and groups of taxa. Population growth rates for daphniids, Bosmina spp., and three cyclopoids declined as calcium concentration decreased. At low calcium, growth rates of Daphnia pulex, Daphnia catawba, and Mesocyclops edax were negative indicating declining populations. There was no effect of calcium on reproduction of the most common cladocerans. Although we detected some variation in growth rates amongst source lakes, zooplankton communities did not differ in their response to low calcium. As calcium concentrations continue to decline in soft water lakes, reduced zooplankton growth rates may result in shifts in zooplankton community structure and overall declines in total zooplankton 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 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".