Nutrient starvation impairs the trophic plasticity of reef‐building corals under ocean warming
Bibliographic record
Abstract
Abstract Global warming of the world's oceans is driving reef‐building corals towards their upper thermal limit, inducing bleaching, nutrient starvation and mortality. In addition, corals are predicted to experience large fluctuations in seawater nutrient concentrations, following water column stratification or eutrophication problems, which can further alter their nutritional capacities and ultimately their resilience to global change. We investigated the effect of thermal stress and dissolved inorganic nutrient (DINUT) availability on the auto‐ and heterotrophic nutritional capacities of corals. In particular, we assessed the effect of nitrogen enrichment or DINUT depletion (both in nitrogen and in phosphorus) on the assimilation of heterotrophic nutrients and on the heat‐stress tolerance of the reef‐building coral Stylophora pistillata . Here, we show that DINUT depletion enhanced coral bleaching under thermal stress and more importantly, significantly impaired rates of heterotrophic nutrient assimilation, inducing coral starvation. In contrast, corals grown under nitrogen enrichment maintained high rates of heterotrophic nutrient assimilation and avoided bleaching, although nutrient uptake rates were lowered. We therefore observed a positive coupling between auto‐ and heterotrophy within the coral–dinoflagellate symbiosis, indicating that heterotrophic processes require a minimum of autotrophically acquired nutrients to be functional. These findings show that the trophic plasticity of corals directly depends on the availability of dissolved inorganic nutrients in seawater. The lack of a shift towards greater heterotrophy under DINUT depletion may lead to substantial modifications of the role that feeding plays in the response of reef‐building corals to climate change. A plain language summary is available for this article.
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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 | 0.000 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".