The role of ecohydraulics in addressing the freshwater biodiversity crisis
Bibliographic record
Abstract
Ecohydraulics is a scholarly discipline and community of practice that represents the intersection of ecology and hydraulics/fluid dynamics. Although understanding the intersection of ecology and hydraulics is of fundamental interest, it is also highly relevant to the management and conservation of freshwater life and ecosystems, and consistent with calls for more integrative thinking. Here we provide an overview of the ways in which ecohydraulics has the potential to contribute to supporting the protection and recovery of freshwater biodiversity. For example, ecohydraulics can be used to identify environmental flows that benefit aquatic life while enabling hydroelectric generation. In the context of invasive species, ecohydraulics can be used to identify trapping designs that select invasive species whereas for reducing exploitation, it can be used to inform selective fishing gear designs. In terms of water quality management, ecohydraulics can inform the design of stormwater infrastructure that supports freshwater life. Habitat restoration can be guided by integrating morphodynamics and the habitat needs of species of interest or to ensure that aggregate water extraction is done in a manner and at sites that do not degrade freshwater ecosystems. Ecohydraulics also informs the maintenance or re-establishment of river connectivity through design of fish passage facilities. In summary, ecohydraulics has much to offer in the support of efforts to maintain and restore freshwater biodiversity. Doing so will require continued investment in fundamental and mission-oriented science, but also an emphasis on equipping practitioners with knowledge to implement actions that benefit freshwater biodiversity and people.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".