Meteorological, climatic variables, and habitat heterogeneity predict the Ixodes ricinus nymph activity in France
| Autor: | Phrutsamon Wongnak, Maude Jacquot, Severine Bord, Albert Agoulon, Frederic Beugnet, Laure Bournez, Nicolas Cèbe, Adélie Chevalier, Jean-François Cosson, Naima Dambrine, Thierry Hoch, Frédéric Huard, Nathalie Korboulewsky, Isabelle Lebert, Aurélien Madouasse, Anders Mårell, Sara Moutailler, Olivier Plantard, Thomas Pollet, Valerie Poux, Magalie René, Muriel Vayssier Taussat, Hélène Verheyden, Gwenaël Vourc'H, Karine Chalvet-Monfray |
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| Přispěvatelé: | Unité Mixte de Recherche d'Épidémiologie des maladies Animales et zoonotiques (UMR EPIA), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Mathématiques et Informatique Appliquées (MIA Paris-Saclay), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS), Boehringer Ingelheim Animal Health, Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), Laboratoire de la rage et de la faune sauvage de Nancy (LRFSN), Unité de recherche Comportement et Ecologie de la Faune Sauvage (CEFS), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecosystèmes forestiers (UR EFNO), Biologie moléculaire et immunologie parasitaires et fongiques (BIPAR), École nationale vétérinaire - Alfort (ENVA)-Laboratoire de santé animale, sites de Maisons-Alfort et de Dozulé, Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)-Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biologie, Epidémiologie et analyse de risque en Santé Animale (BIOEPAR), Agroclim (AGROCLIM), Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Le projet DAPPEM est financé par l’Union européenne dans le cadre du Fonds Européen Développement Régional (FEDER) - Pack Ambition recherche 2018 - MSA Subventions 2019, 2020, 2021 |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journées Tiques et Maladies à Tiques Journées Tiques et Maladies à Tiques, Mar 2022, Nancy, France HAL |
| Popis: | National audience; Context: Ixodes ricinus ticks (Acari: Ixodidae) are the most important vector for Lyme borreliosis in Europe, including France. The life cycles and key ecological processes of I. ricinus, suchas mortality, development rate, and questing behavior, are sensitive to weather and environmental conditions. Therefore, variations in these conditions contribute to the regulation of the dynamics of tick abundance, phenology of questing activity, and eventually, human-tick exposure risks throughout the year.Objective: This study aimed to determine the effects of environmental factors on questing activity of I. ricinus nymphs across diverse climatic types in France over a long-term period.Methods: Questing nymph activity was observed using a repeated removal sampling design with a cloth-dragging technique in 11 sampling sites from 7 tick observatories from 2014 to 2021 at approximately 1-month intervals. The environment of each sampling site were described by meteorological (temperature, relative humidity, daytime duration), bioclimatic (annual temperature, precipitation), topography (elevation), and habitat characteristics (forest fragmentation, soil pH, land cover types). Highly correlated variables were summarized using a Principal Component Analysis (PCA). Subsequently, a multivariate mixed-effectsnegative binomial regression model was used to assess the effect of environmental factors on the nymph activities.Results: A total of 631 sampling campaigns were involved in this study. Three phenological patterns were observed, potentially following a climatic gradient. The first 2 dimensions of the PCA described the land cover (Dimension 1) and the topographical/bioclimatic (Dimension 2), respectively. The mixed-effects negative binomial regression revealed that observed nymph counts were driven by different interval-average meteorological variables, including one-month average temperature, previous-season average temperature, and half-year average minimum relative humidity. The interaction effects indicated that the phenology incolder climates peaked differently from that of warmer climates. Also, the land cover characteristics that support the highest baseline abundance were moderate forest fragmentation with transition borders with agricultural areas.Conclusion: Finally, our model could potentially be used to predict seasonal human-tick exposure risks in France that could contribute to mitigating Lyme borreliosis risks. |
| Databáze: | OpenAIRE |
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