Effects of forest harvesting on benthic macroinvertebrates in boreal lakes in Northeastern Ontario
Notice bibliographique
Résumé
Forest harvesting has been shown to significantly affect freshwater communities in various aquatic ecosystems. Buffer zones are argued to protect the aquatic-terrestrial ecotone to ensure that aquatic ecosystems are not negatively impacted during forest harvesting operations. However, the effectiveness of buffer zones in mitigating potential harmful effects to benthic macroinvertebrate communities in boreal lakes is not well understood. In this study, benthic macroinvertebrate communities were sampled from 21 harvested and reference lakes in the Esker Lakes Research Area, a boreal forest ecosystem in Ontario, Canada. Various indices were used to characterize these communities including: total abundance, Simpson's Index of Diversity, total abundance of different Functional Feeding Groups and total abundance of the most common taxa. The main objective of this study was to compare benthic communities from treatment and reference lakes to determine if forest harvesting impacted benthic macroinvertebrate communities, despite the use of buffer zones. Benthic communities did not consistently or significantly differ between reference and treatment lakes. Two-way Analysis of Variance comparisons indicated that benthic macroinvertebrate communities from clear and intermediate lakes differed substantially between years, regardless of treatment. Some indices of macroinvertebrate communities in boggy lakes suggested that communities were changed specifically in treatment lakes; however; the types of changes (mostly reductions) were not those predicted by existing literature and results from other endpoints, such as water chemistry, did not support an effect due to harvesting. Non-Metric Multidimensional Scaling ordination of communities further supported the conclusion that benthic communities were substantially different between pre-harvest and post-harvest years, but that these differences were not be due to harvesting. The results of this study indicate that a one-year pre-harvest study of benthic communities was not sufficient to properly capture the natural variability of this community and establish a suitable reference condition. The conclusions made from this study are constrained by a number of limitations including industry imposed restrictions on the experimental design, possible inter-year observer bias and significant changes in the weather patterns between years. Despite these limitations, it is clear that the minimal percent catchment harvested and the establishment of a buffer zone ensured that benthic macroinvertebrate communities were not negatively influenced by up to 42% harvesting within the lake catchments at the ELRA.
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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 | 0,000 | 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 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».