Effets combinés des changements climatiques et des changements d’utilisation des sols sur les populations de moustiques en Ontario
Notice bibliographique
Résumé
The entomological context in Canada is undergoing significant transformations, marked by an increase in mosquito species over the last decade, bringing the total to approximately 80. Among these species, a minority pose a significant risk to public health due to their ability to transmit disease agents, primarily arboviruses in the Canadian context. In recent years, we have witnessed the emergence and re-emergence of human mosquito-borne diseases (MBD), caused by West Nile virus (WNV) and viruses from the California serogroup (CSV), including those of Snowshoe hare (SSHV) and Jamestown Canyon (JCV). Additionally, some diseases that affect mainly animals, like the Eastern equine encephalitis, also remain a concern for public health. These phenomena of emergence and re-emergence are often linked to climate change, which is the most studied and best-documented factor to date. However, other elements, such as land use, though less popularized, have also had scientific interest in recent years, highlighting the complexity of the issue and the importance of considering a broader range of variables in modeling mosquito populations and MBDs. Existing literature abounds with studies analyzing the separate impacts of climate or land use on mosquito populations, but the joint consideration of these two factors has rarely been addressed, particularly in the context of Canada. This gap underscores the need for investigations that explore the combination of climatic conditions and land use for a more comprehensive understanding of their influence on mosquito population dynamics. Our study aims to bridge this gap by examining specifically Eastern Ontario. First, our research used entomological data collected in the Greater Ottawa area between 2017 and 2018 to assess whether integrating land use improves understanding of observed variations in mosquito species occurrence and abundance. This involved correlating entomological data with Daymet weather data and annual crop inventory information for the same period. We analyzed two types of models: one considering only weather variables, and other including both weather and land use variables. Results highlighted the importance of considering land use, and its impact varied by species, underscoring the need to adjust models according to the species being studied. Our results have also highlighted unexplained variance, indicating that factors not considered in our study could influence the outcomes. We then extended our study area to Eastern Ontario, where we developed and modeled land use scenarios suited to the ecology of mosquitoes. The Dyna-CLUE model was used to simulate these land use scenarios until 2070, based on historical trends. We proposed five scenarios reflecting different levels of urbanization, agricultural expansion, and the conservation of natural areas. The results showed a good match between predicted and observed maps in 2020, predicting significant changes by 2050, and notable deforestation by 2070. These scenarios, developed to be combined with climate projections, were used to estimate mosquito populations. Finally, our focus shifted to Culex pipiens-restuans abundance, the main vector for WNV in the region, and to mosquito diversity, as a more general indicator of species. For this phase, the study period covered 2002 to 2020, and the study area was Eastern Ontario. The objective was to determine how Cx. pipiens-restuans abundance and mosquito diversity would evolve in the future in response to climate and land use changes. For this purpose, the previously developed and modeled land use scenarios were integrated with climate scenarios to carry out projections. Results demonstrated that land use is a relevant factor for predicting Cx. pipiens-restuans abundance. As for mosquito diversity, only the impact of climate changes proved to be decisive. Our analyses also revealed a characteristic spatial pattern of the regional landscape, showing stability in western natural areas compared to more pronounced changes in the east, more affected by human activities. Our results suggest that incorporating land use enhances our understanding of the spatio-temporal dynamics of mosquito populations. They also shed light on human activities as a factor facilitating changes in mosquito populations, thereby impacting disease transmission. This study underscores the significant role of land use and climatic conditions in the dynamics of mosquito populations, highlighting the impact of human activities on MBD transmission. Our findings emphasize that preserving natural habitats could be an effective strategy to mitigate the effects of climate change and reduce the risks associated with vector-borne diseases, adapting to changing environmental realities.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».