title: Spatio-temporal modeling of the invasive potential of wild boar--a conflict-prone species-using multi-source citizen science data.
abstract: Denmark was considered not to have an established population of free-ranging wild boar. Today, sporadic observations of wild boar challenge that view. Due to its reservoir role for economic devastating swine diseases, wild boar represents a potential threat for Denmark's position as a large pig- and pork-exporting country. This study assessed the prospects of wild boar invasion in Denmark. Multi-source citizen science data of wild boar observations were integrated into a multi-modelling approach linking habitat suitability models with agent-based, spatially-explicit simulations. We tested whether the currently observed presence of wild boar is due to natural immigration across the Danish-German border, or whether it is more likely that wild boar escaped fenced premises. Five observational data sources served as evaluation data: (1) questionnaires sent to all 1625 registered owners of Danish farm land, located in the 60 parishes closest to the border, (2) an online questionnaire, (3) a mobile web-based GPS application, (4) reports in the media or by governmental agencies, and (5) geo-referenced locations of fenced wild boar populations. Data covering 2008-2013 included 195 observations of wild boar, including 16 observations of breeding sows. The data from the Danish Nature Agency and the mailed questionnaires were consistent regarding the location of wild boar observations, while data from the Danish Veterinary and Food Administration, the media and the electronic questionnaires documented individual scattered observations in the rest of Jutland. Most observations were made in the region bordering Germany. It is uncertain whether the relatively few observations represent an established population. Model outcomes suggested that the origin of wild boar in about half of the area with sporadic observations of wild boar could be attributed to spatial expansions from a local Danish population near the border and consisting of wild boar originally of German origin. However, the other half, located distant to the border, were likely a result of animals escaping fenced premises inside the country. The approach serves as a template to assess the status of an invading species and improve the knowledge base for risk assessment and management decision.
authors.affiliation: Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, Denmark.
authors.forename: Astrid Moltke
authors.initials: AM
authors.lastname: Jordt
authors.affiliation: Helmholtz Centre for Environmental Research Leipzig - UFZ, Department of Ecological Modelling, Leipzig, Germany.
authors.forename: Martin
authors.initials: M
authors.lastname: Lange
authors.affiliation: Department of Evolutionary Ecology, Leibniz Institute for Zoo and Wildlife Research IZW, Berlin, Germany.
authors.forename: Stephanie
authors.initials: S
authors.lastname: Kramer-Schadt
authors.affiliation: Danish Agriculture & Food Council, Copenhagen, Denmark.
authors.forename: Lisbeth Harm
authors.initials: LH
authors.lastname: Nielsen
authors.affiliation: Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
authors.forename: Søren Saxmose
authors.initials: SS
authors.lastname: Nielsen
authors.affiliation: Helmholtz Centre for Environmental Research Leipzig - UFZ, Department of Ecological Modelling, Leipzig, Germany.
authors.forename: Hans-Hermann
authors.initials: HH
authors.lastname: Thulke
authors.affiliation: Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, Denmark.
authors.forename: Henrik
authors.initials: H
authors.lastname: Vejre
authors.affiliation: Danish Agriculture & Food Council, Copenhagen, Denmark. Electronic address: lia@lf.dk.
authors.forename: Lis
authors.initials: L
authors.lastname: Alban
mesh_terms: D063147:Animal Distribution; D000818:Animals; D003718:Denmark; D004463:Ecology / Q000379:methods*; D005260:Female; D058865:Introduced Species; D008297:Male; D008954:Models, Biological; D011158:Population Growth; D018570:Risk Assessment; D034421:Sus scrofa / Q000502:physiology*
keywords: Habitat suitability model; Landscape ecology; Species distribution model; Sus scrofa