DEVELOPING AN INDEX OF SUSTAINABLE COLDWATER STREAMS USING FISH COMMUNITY ATTRIBUTES IN RIVER PHILIP, NOVA SCOTIA
Bibliographic record
Abstract
An Index of Sustainable Coldwater Streams (ISCS) was developed to quantify fish community changes affected by water temperature and physical habitat quality for small streams in the River Philip Watershed, Nova Scotia. The ISCS was modified from an Index of Biotic Integrity (IBI) and intended for assessing the quality of streams as coldwater habitats. The calibration of the ISCS was thought useful since global warming and habitat degradation, two major aquatic threats in the coming era, could significantly reduce the amount of undisturbed coldwater streams in Nova Scotia; thus, a tool was necessary to identify fish species vulnerable to these threats and to monitor fish community changes in relation to water temperature and physical habitat quality. There was a strong negative correlation between water temperature and physical habitat quality, and water temperature increase and habitat degradation replaced coldwater fish assemblages dominated by salmonids with warmwater and/or tolerant fish assemblages, coupled with increased total species richness. The proposed ISCS is composed of five metrics: (1) number of fish species, (2) percent of individuals that are salmonids, (3) percent of individuals that are brook trout (Salvelinus fontinalis), (4) percent of individuals that are white sucker (Catostomus commersoni), and (5) percent of individuals that are catchable salmonids (age 2 years and older). The ISCS is a promising index to identify priority conservation areas and to monitor changes in aquatic environments.Dans le but de quantifier les changements dans les communautés de poissons touchées par la température de l’eau et la qualité de l’habitat physique pour les petits cours d’eau du bassin hydrographique de la rivière Philip, en Nouvelle-Écosse, on a élaboré un indice de qualité des petits cours d’eau comme habitats d’eaux froides (Index of Sustainable Coldwater Streams, ISCS). Cet indice, inspiré d’un indice de l’intégrité biotique (Karr, 1981; Lyons et al., 1996), vise à évaluer la qualité des ruisseaux en tant qu’habitats d’eaux froides. On a pensé qu’il serait utile de calibrer l’ISCS, compte tenu du réchauffement de la planète et de la dégradation de l’habitat, deux menaces importantes pour les milieux aquatiques qui pourraient réduire considérablement le nombre de ruisseaux d’eaux froides non perturbés en Nouvelle-Écosse; c’est pourquoi il fallait un outil pour identifier les espèces de poissons vulnérables à ces menaces et pour surveiller les changements dans les communautés de poissons en rapport avec la température de l’eau et la qualité de l’habitat physique. On a observé une forte corrélation négative entre la température de l’eau et la qualité de l’habitat physique; de plus, l’augmentation de la température de l’eau et la dégradation de l’habitat avaient pour effet le remplacement d’assemblages de poissons d’eaux froides dominés par les salmonidés par des assemblages de poissons d’eaux tièdes ou tolérants avec une augmentation de la richesse totale en espèces. L’ISCS proposé comprend cinq paramètres : 1) le nombre d’espèces de poissons; 2) le pourcentage d’individus qui sont des salmonidés; 3) le pourcentage d’individus qui sont des ombles de fontaine (Salvelinus fontinalis); 4) le pourcentage d’individus qui sont des meuniers noirs (Catostomus commersoni) et 5) le pourcentage d’individus qui sont des salmonidés exploitables (âgés d’au moins deux ans). L’ISCS est un indice prometteur pour l’établissement de zones de conservation prioritaires et la surveillance des changements dans les milieux aquatiques.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".