Potential effects of road proximity on zooplankton communities and water quality in lakes in the Northwest Territories
Notice bibliographique
Résumé
Studies conducted along Canada’s Dempster Highway in the Northwest Territories have shown that road dust can affect water quality in roadside lakes, leading to higher calcium, conductivity, and pH levels. These water quality changes have the potential to affect important members of the lower aquatic food web, such as zooplankton.\nFor my thesis research, I had two main objectives: 1) To determine if changes in water chemistry caused by deposition of road dust affects zooplankton communities; and 2) To examine if the type of roadside vegetation influences the effects of road dust on aquatic habitats. To achieve these objectives, I collected biological and water quality data from 18 lakes along the Dempster and Inuvik-Tuktoyaktuk Highways in the Northwest Territories and measured the transport of dust from the highways to the surrounding landscape. I selected my study lakes using a stratified random sampling design, with distance from the road (0-300 m, 300-600 m, and > 600 m) and region of study (boreal forest, tundra) as the two factors. Transportation of dust was measured using funnel traps placed in transects from the highways. I hypothesized that zooplankton communities in lakes near the road would show significant differences in community structure, and that dense boreal forest vegetation would provide a better roadside buffer than tundra shrubs, limiting the impacts of road dust to shorter distances in the boreal forest region.\nMy dust measurements indicated that the majority of dust fell within 300 m from the highway, and that dust moved furthest in the tundra. However, there were no clear differences in water quality or zooplankton communities among lakes based on distance from the highway. In addition, while there were differences in communities between regions, these did not appear to be related to the effects of the road. The lack of clear water quality differences related to the effects of road dust are contrary to results from other studies in the region. I speculate that the small sample size for my study combined with natural variability, may have masked the effects of road dust pollution. While my results suggest that gravel roads may have less of an impact on lakes than predicted, further studies with larger sample sizes and more powerful study designs are needed to better understand the issue.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».