Sætre, G.-P. et al. Single origin of human commensalism in the house sparrow. J. Evol. Biol. 25, 788–796 (2012).
Google Scholar
Anderson, T. Biology of the Ubiquitous House Sparrow: From Genes to Populations (Oxford University Press, 2006). https://doi.org/10.1093/acprof:oso/9780195304114.001.0001.
Google Scholar
Johnston, R. F. Synanthropic Birds of North America. In Avian Ecology and Conservation in an Urbanizing World (eds Marzluff, J. M. et al.) 49–67 (Springer, 2001). https://doi.org/10.1007/978-1-4615-1531-9_3.
Google Scholar
Shaw, L. M., Chamberlain, D., Conway, G. & Toms, M. Spatial distribution and habitat preferences of the House Sparrow Passer domesticus in urbanised landscapes. (2011).
Guetté, A., Gaüzère, P., Devictor, V., Jiguet, F. & Godet, L. Measuring the synanthropy of species and communities to monitor the effects of urbanization on biodiversity. Ecol. Indic. 79, 139–154 (2017).
Google Scholar
Slusher, M. J. et al. Are passerine birds reservoirs for influenza A viruses?. J. Wildl. Dis. 50, 792–809 (2014).
Google Scholar
Veen, J. et al. Ornithological data relevant to the spread of Avian Influenza in Europe (phase 2): further identification and first field assessment of Higher Risk Species. (2007).
Caron, A., Cappelle, J. & Gaidet, N. Challenging the conceptual framework of maintenance hosts for influenza A viruses in wild birds. J. Appl. Ecol. 54, 681–690 (2017).
Google Scholar
Olsen, B. et al. Global patterns of influenza A virus in wild birds. Science 312, 384–388 (2006).
Google Scholar
Brown, J. D., Stallknecht, D. E., Berghaus, R. D. & Swayne, D. E. Infectious and lethal doses of H5N1 highly pathogenic avian influenza virus for house sparrows (Passer Domesticus) and rock pigeons (Columbia Livia). J. Vet. Diagn. Invest. 21, 437–445 (2009).
Google Scholar
Forrest, H. L., Kim, J.-K. & Webster, R. G. Virus shedding and potential for interspecies waterborne transmission of highly pathogenic H5N1 influenza virus in sparrows and chickens. J. Virol. 84, 3718–3720 (2010).
Google Scholar
Nemeth, N. M., Thomas, N. O., Orahood, D. S., Anderson, T. D. & Oesterle, P. T. Shedding and serologic responses following primary and secondary inoculation of house sparrows (Passer domesticus) and European starlings (Sturnus vulgaris) with low-pathogenicity avian influenza virus. Avian Pathol. 39, 411–418 (2010).
Google Scholar
Yamamoto, Y., Nakamura, K., Yamada, M. & Mase, M. Pathogenesis in Eurasian tree sparrows inoculated with H5N1 highly pathogenic avian influenza virus and experimental virus transmission from tree sparrows to chickens. Avian Dis. 57, 205–213 (2013).
Google Scholar
Ellis, J. W. et al. Avian influenza A virus susceptibility, infection, transmission, and antibody kinetics in European starlings. PLOS Pathog. 17, e1009879 (2021).
Google Scholar
Gutiérrez, R. A., Sorn, S., Nicholls, J. M. & Buchy, P. Eurasian tree sparrows, risk for H5N1 virus spread and human contamination through buddhist ritual: An experimental approach. PLoS ONE 6, e28609 (2011).
Google Scholar
Caron, A., Cappelle, J., Cumming, G. S., de Garine-Wichatitsky, M. & Gaidet, N. Bridge hosts, a missing link for disease ecology in multi-host systems. Vet. Res. 46, 1–11 (2015).
Google Scholar
Guinat, C. et al. Duck production systems and highly pathogenic avian influenza H5N8 in France, 2016–2017. Sci. Rep. 9, 1–9 (2019).
Google Scholar
EFSA et al. Scientific report Avian influenza overview October 2016–August 2017. EFSA J. 15, 101 (2017).
EFSA et al. Scientific report: Avian influenza overview December 2020–February 2021. EFSA J. 19, 74 (2021).
Le Bouquin, S. et al. L’épisode d’influenza aviaire en France en 2015–2016: Situation épidémiologique au 30 juin 2016. Bull. Epidémiologique Santé Anim. Aliment.—DGAL—Anses 1–7 (2016).
EFSA et al. Avian influenza overview December 2021–March 2022. EFSA J. 20, e07289 (2022).
DGAL. Arrêté du 8 février 2016 relatif aux mesures de biosécurité applicables dans les exploitations de volailles et d’autres oiseaux captifs dans le cadre de la prévention contre l’influenza aviaire. AGRG1603907A, (2016).
Koch, G. & Elbers, A. R. W. Outdoor ranging of poultry: A major risk factor for the introduction and development of high-pathogenicity avian influenza. NJAS—Wagening. J. Life Sci. 54, 179–194 (2006).
Google Scholar
Delpont, M. et al. Biosecurity practices on foie gras duck farms Southwest France. Prev. Vet. Med. 158, 78–88 (2018).
Google Scholar
Bicout, J. D., Artois, M., Musseau, R., Caparros, O. & Lubac, S. Which wild birds are potentially at risk for contacts between wild avifauna and with poultry? in 9èmes Journées de la Recherche Avicole, Tours, France 5pp (World’s Poultry Science Association (WPSA), 2011).
Gotteland, C., Lubac, S. & Bicout, D. Où trouve-t-on les oiseaux sauvages aux alentours des élevages? Risque de contact oiseaux sauvages et volailles. Epidemiol. Sante Anim. 55, 103–115 (2009).
Lubac, S., Musseau, R., Caparros, O., Artois, M. & Bicout, D. J. Interactions entre l’avifaune sauvage et les élevages de volailles: Quel risque épidémiologique vis à vis de l’Influenza aviaire ?. Innov. Agron. 25, 299–312 (2012).
Burns, F. et al. Abundance decline in the avifauna of the European Union reveals cross-continental similarities in biodiversity change. Ecol. Evol. 0, 1–14 (2021).
Jeliazkov, A. et al. Impacts of agricultural intensification on bird communities: New insights from a multi-level and multi-facet approach of biodiversity. Agric. Ecosyst. Environ. 216, 9–22 (2016).
Google Scholar
Chiatante, G., Pellitteri-Rosa, D., Torretta, E., Nonnis Marzano, F. & Meriggi, A. Indicators of biodiversity in an intensively cultivated and heavily human modified landscape. Ecol. Indic. 130, 108060 (2021).
Google Scholar
QGIS Development Team. QGIS Geographic Information System. (QGIS Association, 2022).
Jost, L. Entropy and diversity. Oikos 113, 363–375 (2006).
Google Scholar
Pielou, E. C. The measurement of diversity in different types of biological collections. J. Theor. Biol. 13, 131–144 (1966).
Google Scholar
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2019).
Bacigalupo, S. A., Dixon, L. K., Gubbins, S., Kucharski, A. J. & Drewe, J. A. Towards a unified generic framework to define and observe contacts between livestock and wildlife: A systematic review. PeerJ 8, e10221 (2020).
Google Scholar
Xie, X., Li, Y., Chwang, A. T. Y., Ho, P. L. & Seto, W. H. How far droplets can move in indoor environments: revisiting the Wells evaporation-falling curve. Indoor Air 17, 211–225 (2007).
Google Scholar
Zuo, Z. et al. Association of airborne virus infectivity and survivability with its carrier particle size. Aerosol Sci. Technol. 47, 373–382 (2013).
Google Scholar
Newman, M. E. J. Modularity and community structure in networks. Proc. Natl. Acad. Sci. 103, 8577–8582 (2006).
Google Scholar
Pons, P. & Latapy, M. Computing Communities in Large Networks Using Random Walks. in Computer and Information Sciences : ISCIS 2005 284–293 (Springer, 2005). https://doi.org/10.1007/11569596_31.
Csardi, G. & Nepusz, T. The igraph software package for complex network research. InterJ. Complex Syst. 1695, 1–9 (2006).
Ben-Shachar, M. S., Lüdecke, D. & Makowski, D. effectsize: Estimation of effect size indices and standardized parameters. J. Open Source Softw. 5, 2815 (2020).
Google Scholar
Cohen, J. Statistical Power Analysis for the Behavioral Sciences (Routledge, 1988). https://doi.org/10.4324/9780203771587.
Google Scholar
Bates, D., Mächler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48 (2015).
Google Scholar
Bates, D. et al. lme4: Linear Mixed-Effects Models using ‘Eigen’ and S4. (2022).
Bartoń, K. MuMIn: Multi-Model Inference. (2022).
Nakagawa, S., Johnson, P. C. D. & Schielzeth, H. The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded. J. R. Soc. Interface 14, 20170213 (2017).
Google Scholar
Lefcheck, J., Byrnes, J. & Grace, J. piecewiseSEM: Piecewise Structural Equation Modeling. (2020).
Lefcheck, J. S. piecewiseSEM: Piecewise structural equation modelling in r for ecology, evolution, and systematics. Methods Ecol. Evol. 7, 573–579 (2016).
Google Scholar
UICN France, MNHN, LPO BirdLife France, SEOF & ONCFS. La Liste rouge des espèces menacées en France—Chapitre Oiseaux de France métropolitaine. (2016).
Bestman, M., de Jong, W., Wagenaar, J.-P. & Weerts, T. Presence of avian influenza risk birds in and around poultry free-range areas in relation to range vegetation and openness of surrounding landscape. Agrofor. Syst. 92, 1001–1008 (2018).
Google Scholar
Scott, A. B. et al. Wildlife presence and interactions with chickens on australian commercial chicken farms assessed by camera traps. Avian Dis. 62, 65–72 (2018).
Google Scholar
Scherer, A. L., de Scherer, J. F. M., Petry, M. V. & Sander, M. Occurrence and interaction of wild birds at poultry houses in southern Brazil. Rev. Bras. Ornitol.: Braz. J. Ornithol. 19, 74–79 (2011).
Burns, T. E. et al. Use of observed wild bird activity on poultry farms and a literature review to target species as high priority for avian influenza testing in 2 regions of Canada. Can. Vet. J. 53, 158–166 (2012).
Google Scholar
Elbers, A. R. W. & Gonzales, J. L. Quantification of visits of wild fauna to a commercial free-range layer farm in the Netherlands located in an avian influenza hot-spot area assessed by video-camera monitoring. Transbound. Emerg. Dis https://doi.org/10.1111/tbed.13382 (2019).
Google Scholar
Craft, M. E. Infectious disease transmission and contact networks in wildlife and livestock. Philos. Trans. R. Soc. B. Biol. Sci. 370, 20140107 (2015).
Google Scholar
Clergeau, P., Savard, J.-P.L., Mennechez, G. & Falardeau, G. Bird abundance and diversity along an urban-rural gradient: A comparative study between two cities on different continents. The Condor 100, 413–425 (1998).
Google Scholar
Le Gall-Ladevèze, C. et al. Detection of a novel enterotropic Mycoplasma gallisepticum-like in European starling (Sturnus vulgaris) around poultry farms in France. Transbound. Emerg. Dis. 0, 1–12 (2021).
Shriner, S. A. & Root, J. J. A review of avian influenza A virus associations in synanthropic birds. Viruses 12, 1209 (2020).
Google Scholar
Shriner, S. A. et al. Surveillance for highly pathogenic H5 avian influenza virus in synanthropic wildlife associated with poultry farms during an acute outbreak. Sci. Rep. 6, 36237 (2016).
Google Scholar
Davies, N. B. Food, flocking and territorial behaviour of the pied wagtail (Motacilla alba yarrellii Gould) in winter. J. Anim. Ecol. 45, 235–253 (1976).
Google Scholar
Snow, D. W., Perrins, C. M. & Gillmor, R. The birds of the western palaearctic. Vol. 2, Passerines. vol. 2 (Oxford University Press, 1998).
Rigal, S. et al. Biotic homogenisation in bird communities leads to large-scale changes in species associations. Oikos 2022, e08756 (2022).
Google Scholar
Dalziel, A. E., Delean, S., Heinrich, S. & Cassey, P. Persistence of low pathogenic influenza A virus in water: A systematic review and quantitative meta-analysis. PLoS ONE 11, e0161929 (2016).
Google Scholar
Keeler, S. P., Dalton, M. S., Cressler, A. M., Berghaus, R. D. & Stallknecht, D. E. Abiotic factors affecting the persistence of avian influenza virus in surface waters of waterfowl habitats. Appl. Environ. Microbiol. 80, 2910–2917 (2014).
Google Scholar
Marois, C., Dufour-Gesbert, F. & Kempf, I. Polymerase chain reaction for detection of mycoplasma gallisepticum in environmental samples. Avian Pathol. 31, 163–168 (2002).
Google Scholar
Blagodatski, A. et al. Avian influenza in wild birds and poultry: dissemination pathways, monitoring methods, and virus ecology. Pathogens 10, 630 (2021).
Google Scholar
Stoffolano, J. G. Jr. & Geden, C. J. Succession of manure arthropods at a poultry farm in massachusetts, USA, With observations on carcinops pumilio (Coleoptera: Histeridae) sex ratios, ovarian condition, and body size1. J. Med. Entomol. 24, 212–220 (1987).
Google Scholar
Ushio, M. et al. Demonstration of the potential of environmental DNA as a tool for the detection of avian species. Sci. Rep. 8, 1–10 (2018).
Google Scholar
Fontaine, B. et al. Suivi des oiseaux communs en France 1989–2019 : 30 ans de suivis participatifs—Executive summary of the 2019 common birds monitoring report. https://inpn.mnhn.fr/actualites/lire/12721/bilan-des-30-ans-du-suivi-temporel-des-oiseaux-communs-stoc (2020).
Seamans, T. & Gosser, A. Bird dispersal techniques. in Wildlife Damage Management Technical Series 12pp (USDA, APHIS, WS National Wildlife Research Center, 2016). https://doi.org/10.32747/2016.7207730.ws.
Elbers, A. R. W. & Gonzales, J. L. Efficacy of an automated laser for reducing wild bird visits to the free range area of a poultry farm. Sci. Rep. 11, 12779 (2021).
Google Scholar
Conover, M. R. & Perito, J. J. Response of starlings to distress calls and predator models holding conspecific prey. Z. Für Tierpsychol. 57, 163–172 (1981).
Google Scholar
Aubin, T. Synthetic bird calls and their application to scaring methods. Ibis 132, 290–299 (1990).
Google Scholar
Guinat, C. et al. Biosecurity risk factors for highly pathogenic avian influenza (H5N8) virus infection in duck farms France. Transbound. Emerg. Dis. 67, 2961–2970 (2020).
Google Scholar
Gaide, N. et al. Viral tropism and detection of clade 2.3.4.4b H5N8 highly pathogenic avian influenza viruses in feathers of ducks and geese. Sci. Rep. 11, 5928 (2021).
Google Scholar
Spekreijse, D., Bouma, A., Koch, G. & Stegeman, A. Quantification of dust-borne transmission of highly pathogenic avian influenza virus between chickens. Influenza Other Respir. Viruses 7, 132–138 (2013).
Google Scholar
Torremorell, M. et al. Investigation into the airborne dissemination of H5N2 highly pathogenic avian influenza virus during the 2015 spring outbreaks in the midwestern United States. Avian Dis. 60, 637–643 (2016).
Google Scholar
Caron, A., Grosbois, V., Etter, E., Gaidet, N. & de Garine-Wichatitsky, M. Bridge hosts for avian influenza viruses at the wildlife/domestic interface: An eco-epidemiological framework implemented in southern Africa. Prev. Vet. Med. 117, 590–600 (2014).
Google Scholar
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