A review of the influence of low ambient calcium concentrations on freshwater daphniids, gammarids, and crayfish
Bibliographic record
Abstract
The widespread decline in aqueous calcium (Ca) is emerging as a newly recognised stressor in freshwater ecosystems in regions with historically high acid deposition, especially when coupled with multiple logging cycles. Currently, Ca and other base cations are being depleted in the soils of acid-sensitive watersheds of eastern North America and western Europe, resulting in falling Ca levels in streams and lakes. Freshwater crustaceans have high Ca demands due to their heavily calcified exoskeleton and regular moult cycle. Because they rely on Ca in the external environment for the majority of their Ca uptake, aquatic crustaceans are restricted to waters at or above the Ca concentration needed to satisfy their demands. The zoogeographic distributions along ambient Ca gradients, and Ca requirements and metabolism of three groups of freshwater crustaceans — daphniids, crayfish and gammarids — have been relatively well studied. Here we have four objectives: (1) We briefly review biological features of the above three taxa that relate to Ca metabolism. (2) We review the literature regarding minimum Ca thresholds permitting survival, Ca saturation points, and the individual and population scale costs of existence at suboptimal Ca concentrations. (3) Using Daphnia as an example, we explore the ecological consequences of falling environmental Ca concentrations. (4) We identify gaps and weaknesses in the literature that may inhibit the development of environmental risk assessments for Ca decline for these three crustacean groups. We conclude that crayfish are especially vulnerable to ongoing Ca decline, and that all three taxa are probably living under suboptimal conditions in areas of Ca decline, and are therefore likely under chronic metabolic stress.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".