Interactive influences of resource pulse quality and abruptness on aquatic ecosystem
Bibliographic record
Abstract
jabbrv-ltwa-all.ldf jabbrv-ltwa-en.ldf Many ecosystems worldwide are interconnected by spatial pulses of energy and material capable of structuring and defining their main processes. With global anthropogenic change, the dynamics of such fluxes (i.e., resource type, magnitude and duration) will be modified. Yet, it is still unclear how simultaneous alterations in flux dynamics might interact to influence ecosystem functioning. Here, we provide experimental evidence for interactive effects of resource pulse quality and abruptness level (i.e., magnitude/duration) on aquatic ecosystem functions using experimental mesocosms. Mesocosms were exposed to three resource types (insects, leaves and a mix of both) based on three abruptness levels (high, medium, low) in a 3 x 3 factorial design. With an equal overall amount of resource added, nutrient inputs from insect decomposition spread quickly through ecosystem compartments, supporting the development of diverse autotrophic primary producers and increasing ecosystem stocks. In contrast, leaf decomposition confined nutrient flows within the benthic food web compartment, probably favoring more heterotrophic organisms linked to the decomposition of the vegetal matrix. Finally, our study also revealed that ecological responses arising from insect pulse are more sensitive to changes in abruptness variation – pulsed event of great magnitude over a short period of time leading to higher nutrient flow between ecosystem compartments, increasing the ecosystem impact of nutrient enrichment. Thus, considering both quality and abruptness level of allochtonous resource pulse is important in the understanding of ecological processes changes under such biomass-altering disturbance events.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".