Meteorological and climatic variables predict the phenology of Ixodes ricinus nymph activity in France, accounting for habitat heterogeneity.

Autor: Wongnak P; Université de Lyon, INRAE, VetAgro Sup, UMR EPIA, 69280, Marcy l'Etoile, France.; Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, 63122, Saint-Genès-Champanelle, France., Bord S; Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA-Paris, 75005, Paris, France., Jacquot M; Université de Lyon, INRAE, VetAgro Sup, UMR EPIA, 69280, Marcy l'Etoile, France.; Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, 63122, Saint-Genès-Champanelle, France.; Ifremer, RBE-SGMM-LGPMM, 17390, La Tremblade, France., Agoulon A; INRAE, Oniris, UMR BIOEPAR, 44300, Nantes, France., Beugnet F; Global Technical Services, Boehringer-Ingelheim Animal Health, 69007, Lyon, France., Bournez L; Nancy Laboratory for Rabies and Wildlife, The French Agency for Food, Environmental and Occupational Health and Safety (ANSES), 54220, Malzéville, France., Cèbe N; Université de Toulouse, INRAE, UR CEFS, 31326, Castanet-Tolosan, France.; LTSER ZA PYRénées GARonne, 31326, Auzeville-Tolosane, France., Chevalier A; INRAE, UR EFNO, 45290, Nogent-sur-Vernisson, France., Cosson JF; ANSES, ENVA, INRAE, UMR 956 BIPAR, 94701, Maisons-Alfort, France., Dambrine N; Université de Lyon, INRAE, VetAgro Sup, UMR EPIA, 69280, Marcy l'Etoile, France.; Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, 63122, Saint-Genès-Champanelle, France., Hoch T; INRAE, Oniris, UMR BIOEPAR, 44300, Nantes, France., Huard F; INRAE, US 1116 AgroClim, 84914, Avignon, France., Korboulewsky N; INRAE, UR EFNO, 45290, Nogent-sur-Vernisson, France., Lebert I; Université de Lyon, INRAE, VetAgro Sup, UMR EPIA, 69280, Marcy l'Etoile, France.; Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, 63122, Saint-Genès-Champanelle, France., Madouasse A; INRAE, Oniris, UMR BIOEPAR, 44300, Nantes, France., Mårell A; INRAE, UR EFNO, 45290, Nogent-sur-Vernisson, France., Moutailler S; ANSES, ENVA, INRAE, UMR 956 BIPAR, 94701, Maisons-Alfort, France., Plantard O; INRAE, Oniris, UMR BIOEPAR, 44300, Nantes, France., Pollet T; ANSES, ENVA, INRAE, UMR 956 BIPAR, 94701, Maisons-Alfort, France.; INRAE, CIRAD, UMR ASTRE, 34398, Montpellier, France., Poux V; Université de Lyon, INRAE, VetAgro Sup, UMR EPIA, 69280, Marcy l'Etoile, France.; Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, 63122, Saint-Genès-Champanelle, France., René-Martellet M; Université de Lyon, INRAE, VetAgro Sup, UMR EPIA, 69280, Marcy l'Etoile, France.; Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, 63122, Saint-Genès-Champanelle, France., Vayssier-Taussat M; ANSES, ENVA, INRAE, UMR 956 BIPAR, 94701, Maisons-Alfort, France., Verheyden H; Université de Toulouse, INRAE, UR CEFS, 31326, Castanet-Tolosan, France.; LTSER ZA PYRénées GARonne, 31326, Auzeville-Tolosane, France., Vourc'h G; Université de Lyon, INRAE, VetAgro Sup, UMR EPIA, 69280, Marcy l'Etoile, France.; Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, 63122, Saint-Genès-Champanelle, France., Chalvet-Monfray K; Université de Lyon, INRAE, VetAgro Sup, UMR EPIA, 69280, Marcy l'Etoile, France. karine.chalvet-monfray@inrae.fr.; Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, 63122, Saint-Genès-Champanelle, France. karine.chalvet-monfray@inrae.fr.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2022 May 12; Vol. 12 (1), pp. 7833. Date of Electronic Publication: 2022 May 12.
DOI: 10.1038/s41598-022-11479-z
Abstrakt: 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.
(© 2022. The Author(s).)
Databáze: MEDLINE
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