Linking environmental factors, life history and population density in the endangered freshwater snail Margarya melanioides (Viviparidae) in Lake Dianchi, China
Bibliographic record
Abstract
Understanding how environmental changes affect life-history traits is important for predicting population dynamics of a species. As one of the most pervasive forms of environmental changes in freshwater systems, eutrophication can change life-history traits of freshwater animals through density-dependent/independent processes. However, empirical evidence remains scarce regarding the mechanisms by which eutrophication influences life-history traits. We conducted a field study linking eutrophication, life-history traits and population density in a population of Margarya melanioides in Lake Dianchi, the largest lake of the Yun-Gui plateau in China and the most eutrophicated by humans, over 14 months in 2009–2010. We estimated key life-history traits (growth and reproduction) of M. melanioides in 2009–2010. Then, by comparing some life-history traits with those recorded in 1931–1933 (when the extent of eutrophication was comparatively low), we found that this snail had increased its fecundity (from 1.07 to 4.24 offspring/brood-bearing female) and the proportion of females with broods (23.6 to 77.4%), decreased its body size (54.2 to 47.6 mm) and the threshold size for reproduction (46 to 35 mm), and distorted its female/male sex ratio (1.6:1 to 0.97:1). These findings suggest that M. melanioides has adapted some life-history traits in response to intensified eutrophication. A structural equation model indicated that eutrophication influenced the reproduction of this snail through two related but opposing pathways: primarily by decreasing its population size to reduce its reproduction and secondarily by directly promoting its reproduction. Our results not only support the significance of eutrophication in determination of life-history traits of freshwater animals, but also suggest that density-dependent effects on reproduction may be stronger than direct environmental influences when population size is small.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".