1. Meteorological and climatic variables predict the phenology of Ixodes ricinus nymph activity in France, accounting for habitat heterogeneity
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Phrutsamon Wongnak, Séverine Bord, Maude Jacquot, Albert Agoulon, Frédéric Beugnet, Laure Bournez, Nicolas Cèbe, Adélie Chevalier, Jean-François Cosson, Naïma Dambrine, Thierry Hoch, Frédéric Huard, Nathalie Korboulewsky, Isabelle Lebert, Aurélien Madouasse, Anders Mårell, Sara Moutailler, Olivier Plantard, Thomas Pollet, Valérie Poux, Magalie René-Martellet, Muriel Vayssier-Taussat, Hélène Verheyden, Gwenaël Vourc’h, Karine Chalvet-Monfray, 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), Mathématiques et Informatique Appliquées (MIA-Paris), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biologie, Epidémiologie et analyse de risque en Santé Animale (BIOEPAR), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Boehringer Ingelheim Animal Health, Partenaires INRAE, Laboratoire de la rage et de la faune sauvage de Nancy (LRFSN), Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), Unité de recherche Comportement et Ecologie de la Faune Sauvage (CEFS), Ecosystèmes forestiers (UR EFNO), Biologie moléculaire et immunologie parasitaires et fongiques (BIPAR), École nationale vétérinaire d'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), Agroclim (AGROCLIM), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Mathématiques et Informatique Appliquées (MIA Paris-Saclay), École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), École nationale vétérinaire - Alfort (ENVA)-Laboratoire de santé animale, sites de Maisons-Alfort et de Normandie, 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)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Animal, Santé, Territoires, Risques et Ecosystèmes (UMR ASTRE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Most tick observatories were supported by the CC-EID and Climatick projects: 'Adaptation of Agriculture and Forests to Climate Change' metaprogramme of the French National Research Institute for Agriculture, Food and Environment (INRAE). The observatory of Les Bordes was installed and equipped by the Centre Val-de-Loire region, the Loiret and the French National Forest Office. We also would like to thank the TEMPO French Network (https://tempo.pheno.fr/) for providing resources to support this study. The Les Bordes site belongs to the French national research infrastructure, ANAEE-F (http://www.anaee-france.fr/fr/), and is also included in the SOERE TEMPO (https://tempo.pheno.fr/).The Les Bordes site is also part of the framework of the ZAL (LTSER Zone Atelier Loire) and the GIS Coop network (https://www6.inra.fr/giscoop/), which is supported by the French Ministry for Agriculture and Food. This study was partially funded by EU grant 874850 MOOD and is catalogued as MOOD 040. The contents of this publication are the sole responsibility of the authors and do not necessarily reflect the views of the European Commission. Finally, PW is grateful for a grant from the Association Nationale de la Recherche et de la Technologie, bourse CIFRE (no 2019/0393)., European Project: 874850,H2020-SC1-2019-Single-Stage-RTD,MOOD(2020), and École nationale vétérinaire - Alfort (ENVA)-Laboratoire de santé animale, sites de Maisons-Alfort et de Dozulé
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Ecological epidemiology ,Nymph ,2. Zero hunger ,Lyme Disease ,Multidisciplinary ,Ixodes ,Ixodes ricinus ticks ,[SDV]Life Sciences [q-bio] ,Forests ,15. Life on land ,Habitat characteristics ,Phenological patterns ,13. Climate action ,Questing activity ,Meteorological conditions ,Animals ,Humans ,Seasons ,Entomology ,Ecosystem ,Ecological modelling - Abstract
Ixodes ricinus ticks (Acari: Ixodidae) are the most important vector for Lyme borreliosis in Europe. As climate change might affect their distributions and activities, this study aimed to determine the effects of environmental factors, i.e., meteorological, bioclimatic, and habitat characteristics on host-seeking (questing) activity of I. ricinus nymphs, an important stage in disease transmissions, across diverse climatic types in France over 8 years. Questing activity was observed using a repeated removal sampling with a cloth-dragging technique in 11 sampling sites from 7 tick observatories from 2014 to 2021 at approximately 1-month intervals, involving 631 sampling campaigns. Three phenological patterns were observed, potentially following a climatic gradient. The mixed-effects negative binomial regression revealed that observed nymph counts were driven by different interval-average meteorological variables, including 1-month moving average temperature, previous 3-to-6-month moving average temperature, and 6-month moving average minimum relative humidity. The interaction effects indicated that the phenology in colder climates peaked differently from that of warmer climates. Also, land cover characteristics that support the highest baseline abundance were moderate forest fragmentation with transition borders with agricultural areas. Finally, our model could potentially be used to predict seasonal human-tick exposure risks in France that could contribute to mitigating Lyme borreliosis risk.
- Published
- 2022
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