Canopy‐Forming Ecosystem Engineers in Aquatic Ecosystems
Bibliographic record
Abstract
Abstract Aquatic vegetation can form dense beds, spanning a range of scales, from forestlike canopies of tens of meters high created by giant kelps to small meter‐ or decimeter‐scale canopies of seaweeds and aquatic plants. These canopies interact with the flowing water in the overlying water column and have a profound effect on biogeochemical, biological, and ecological processes. In near‐bottom environments these organisms contribute substantially to bottom roughness as they form flexible canopies, which modify hydrodynamic properties in the near bed region with concomitant effects on sediment and ecological processes. In this article, we describe the environment aquatic macrophytes live in and then consider the fundamental biological and ecological processes including mass transport of dissolved material, such as nutrients, carbon, and oxygen, and their uptake by the vegetation and transport of particulate matter, such as sediment and organic matter, which has implications for carbon sequestration and sediment accretion. These processes, aptly called ecosystem services, are important for human societies and attract the interest of researchers who will add to our understanding of the fundamental processes that are due to the interaction of fluid dynamics and macrophytes in a changing climate. This will facilitate transformational thinking and ultimately innovative solutions required for the future of humanity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.005 | 0.007 |
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; both teacher heads agree on what is shown here.
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".