Abstract

Urbanization rapidly changes landscape structure worldwide, thereby enlarging the human-wildlife interface. The emerging urban structures should have a key influence on the spread and distribution of wildlife diseases such as canine distemper, by shaping density, distribution and movements of wildlife. However, little is known about the role of urban structures as proxies for disease prevalence. To guide management, especially in densely populated cities, assessing the role of landscape structures in hampering or promoting disease prevalence is thus of paramount importance. Between 2008 and 2013, two epidemic waves of canine distemper hit the urban red fox (Vulpes vulpes) population of Berlin, Germany. The directly transmitted canine distemper virus (CDV) causes a virulent disease infecting a range of mammals with high host mortality, particularly in juveniles. We extracted information about CDV serological state (seropositive or seronegative), sex and age for 778 urban fox carcasses collected by the state laboratory Berlin Brandenburg. To assess the impact of urban landscape structure heterogeneity (e.g. richness) and shares of green and grey infrastructures at different spatial resolutions (areal of 28 ha, 78 ha, 314 ha) on seroprevalence we used Generalized Linear Mixed-Effects Models with binomial distributions. Our results indicated that predictors derived at a 28 ha resolution were most informative for describing landscape structures effects (AUC = 0.92). The probability to be seropositive decreased by 66% (0.6 to 0.2) with an increasing share of grey infrastructure (40 % to 80 %), suggesting that urbanization might hamper CDV spread in urban areas, owing to a decrease in host density (e.g. less foxes or raccoons) or an absence of wildlife movement corridors in strongly urbanized areas. However, less strongly transformed patches such as close-to-nature areas in direct proximity to water bodies were identified as high risk areas for CDV transmission. Therefore, surveillance and disease control actions targeting urban wildlife or human-wildlife interactions should focus on such areas. The possible underlying mechanisms may be increased isolation, the absence of alternative hosts or an abiotic environment, all impairing the ability of CDV to persist without a host.

Highlights

  • Urbanization rapidly changes landscape structures worldwide, thereby enlarging the human-wildlife interface (Parris, 2016)

  • Lacking knowledge on these key mechanisms makes disease surveillance and control difficult and expensive. In urban ecosystems, such active management is important for pathogens relevant to humans and their pets, such as canine distemper virus (CDV), small fox tapeworm (Echinococcus multilocularis) or rabies virus (Stubbe, 1980; Appel and Summers, 1995; Harder and Osterhaus, 1997; Bradley and Altizer, 2007; Rentería-Solís et al, 2014)

  • The aims of this study were to (1) identify urban landscape structures facilitating the spatiotemporal spread and distribution of CDV in urban foxes based on their serological status by using susceptible and immune/infected individuals, and to (2) create a prediction map of disease risk suitable to improve surveillance and disease control

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Summary

Introduction

Urbanization rapidly changes landscape structures worldwide, thereby enlarging the human-wildlife interface (Parris, 2016). The close proximity of dense wildlife and domestic animal populations together with humans in urban areas make zoonoses or disease spillovers between host species more likely than in rural areas (Adkins and Stott, 1998; Ditchkoff et al, 2006). In this context, a important, yet challenging task is to determine the key transmission mechanisms leading to disease spread and factors maintaining high seroprevalence, i.e., distribution of wildlife diseases in space and time (House and Keeling, 2011). Very little is known about the role of urban landscape structures as proxies for disease seroprevalence (Hassell et al, 2016), and assessing their role in hampering or promoting the disease spread and distribution should be a priority task

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