Analysis of macroinvertebrate populations to assess ecosystem health in the Medway River, Nova Scotia
Bibliographic record
Abstract
This study monitored macroinvertebrate populations at nine sites on the Medway river, Nova Scotia in 2021 and 2022 to assess macroinvertebrate diversity, pollution tolerance, and trophic impacts and inform management of Atlantic Salmon Salmo salar Lineaus, 1758. 2084 macroinvertebrates were collected in 139 sampling sessions from June–July 2021 to May–September 2022. Insects and crustaceans were identified to family level, and other macroinvertebrates were identified to class or subclass. Ten orders and 45 families of insects and crustaceans were identified, and their photos and identification characteristics are provided in the Appendix. Ephemeroptera was the most prevalent order despite an average pH of 5.67 ± 0.51 at sampling sites. Low pH is a limiting factor for Ephemeroptera but did not impact abundance in this study. Pilou's evenness of families was 0.79. The high diversity and abundance of Ephemeroptera, Plecoptera, and Trichoptera (EPT) indicate high water quality due to their intolerance of pollution. 18 EPT families were identified, and EPT taxa comprised 52% of all samples. Hilsenhoff's Biotic Index (HBI) was calculated to assess water quality by assigning each family a level of pollution tolerance. The HBI of all samples was 4.54, which places it in the "Good - Some organic pollution" category. Diversity, abundance, and biotic indices varied between sampling sites but did not approach statistical significance. Diversity and abundance showed a downward trend in later months, peaking in spring and decreasing in autumn. Results of macroinvertebrate sampling show a diverse ecosystem composed of pollution-intolerant taxa. This reflects positively on the use of the Medway River as salmon smolt habitat.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".