fevo-06-00136.pdf 9,88MB
1000 Titel
  • Landscape Structures Affect Risk of Canine Distemper in Urban Wildlife
1000 Autor/in
  1. Gras, Pierre |
  2. Knuth, Sarah |
  3. Börner, Konstantin |
  4. Marescot, Lucile |
  5. Benhaiem, Sarah |
  6. Aue, Angelika |
  7. Wittstatt, Ulrich |
  8. Kleinschmit, Birgit |
  9. Kramer-Schadt, Stephanie |
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-09-11
1000 Erschienen in
1000 Quellenangabe
  • 6:136
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • |
1000 Ergänzendes Material
  • |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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 gray 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 structure effects (AUC = 0.92). The probability to be seropositive decreased by 66% (0.6 to 0.2) with an increasing share of gray 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 explaining the prevalence distribution may be increased isolation, the absence of alternative hosts or an abiotic environment, all impairing the ability of CDV to persist without a host.
1000 Sacherschließung
lokal red fox Vulpes vulpes
lokal urban wildlife
lokal CDV
lokal landscape structures
lokal canine distemper
lokal disease
lokal Berlin
lokal richness
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
1000 (Academic) Editor
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Deutsche Forschungsgemeinschaft |
1000 Fördernummer
  1. 01LC1501A-H
  2. EA 5/3-1; KR4266/2-1
1000 Förderprogramm
  1. Bridging in Biodiversity Science-BIBS
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm Bridging in Biodiversity Science-BIBS
    1000 Fördernummer 01LC1501A-H
  2. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer EA 5/3-1; KR4266/2-1
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6414981.rdf
1000 Erstellt am 2019-07-02T12:34:49.668+0200
1000 Erstellt von 218
1000 beschreibt frl:6414981
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Thu Jan 30 17:30:09 CET 2020
1000 Objekt bearb. Tue Jul 02 12:36:26 CEST 2019
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