A case study of habitat compensation to ameliorate impacts of hydroelectric development: effectiveness of re‐watering and habitat enhancement of an intermittent flood overflow channel
Bibliographic record
Abstract
Development of the Rose Blanche River, insular Newfoundland, Canada, for hydroelectricity resulted in destruction of fluvial habitat and habitat compensation was required to achieve ‘no net loss’(NNL) of habitat productive capacity. The preferred compensation alternative involved modification of a 1·2 km long natural high flow, flood bypass channel, wetted only during peak snow melt events. The channel consisted of 99·6 units (100 m2) of habitat and was modified, with hydraulic control structures, to ensure a constant regulated flow. Physical enhancement included addition of spawning gravels, bank stabilization, protection dykes to prevent flooding and installation of low head barriers to create pools. A 3 year study (2000–2002) was undertaken to assess: (1) habitat stability in the channel, (2) re‐population of the compensatory channel, (3) biological characteristics of fishes utilizing the channel and (4) movement and migration between the compensatory channel and the main river. Study results indicated evolution of meso‐habitat characteristics due to geomorphological and hydrological factors, with distribution of spawning gravels and increased input of organic matter. The channel was utilized preferentially by brook trout Salvelinus fontinalis, with a mix of size and age classes, indicating habitat use by all life stages. Total fish biomass over 3 years increased in the compensation channel while it decreased in the river main stem. Young‐of‐the‐year density was strong for both brook trout and Atlantic salmon Salmo salar in 2001 and 2002 suggesting good spawning and incubation conditions. Year class strength was less in the main river indicating differential (improved) survival in the compensatory habitat. Tag returns provided little evidence of site fidelity for both species suggesting considerable movement within the channel and possibly between the main river and channel. Habitat compensation effectiveness, in terms of NNL, determined that fish production in the compensatory channel achieved 69, 92 and 128% of lost production in 2000, 2001 and 2002, respectively. Fish production increased each year after development and NNL was achieved by the third year. The NNL was achieved in the compensatory channel which contained 100 units as opposed to the 570 units destroyed, a 1 : 5·7 ratio. The results of the study indicated that both habitat area and a measure of habitat productive capacity need to be considered in planning and assessing habitat compensation projects.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".