Indirect effects of temperature driven seasonal succession of phytoplankton communities in a tropical reservoir
Bibliographic record
Abstract
• Indirect effects of temperature driven phytoplankton succession in the tropical reservoir. • The indirect effects depended on mixing regime associated with nutrient availability. • The driving role of temperature strengthens as water stability and depth increase spatially. • The driving role of temperature varies as inter-annual nutrient levels changing. Understanding the driving role of temperature on phytoplankton succession is of fundamental importance to predict the effects of climate change on freshwater ecosystem structure and function. This role encompasses both a direct constraint on algal growth and indirect environmental modification through regulation of mixing regime. To identify the importance of direct and indirect effects of temperature on phytoplankton seasonal succession in tropical reservoirs, we conducted a dry-season investigation along a longitudinal gradient and a 10-year annual investigation of a lacustrine habitat in a large tropical reservoir in southern China. The study confirmed the spatial–temporal heterogeneity of temperature as a driving effect on phytoplankton seasonal succession. The spatial comparison helped identify the importance of indirect environmental regulation of temperature for phytoplankton seasonal succession in the tropical reservoir. A cooling-driven mixing process led to changes in the nutrient supply regime, from depletion of both nitrogen and phosphorus to depletion of only phosphorus coinciding with turnover of cyanobacteria to diatoms in lacustrine habitats. This process was constrained in turbulent riverine environments. Owing to the valid temperature constraint, resources-availability-driven cyanobacterial dominance occurred in all seasons during the 10-year annual investigation in the lacustrine habitat. Our results suggest that focusing on variations in resource availability along temperature-driven mixing processes can improve predictions of phytoplankton community structure response to temperature change in tropical reservoirs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".