Predicting human-wildlife interaction in urban environments through agent-based models
González-Crespo, Carlos (Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals)
Martínez-López, Beatriz (University of California. Department of Medicine and Epidemiology)
Conejero Fuentes, Carles (Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals)
Castillo Contreras, Raquel (Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals)
Serrano Ferron, Emmanuel (Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals)
López-Martín, Josep Maria (Generalitat de Catalunya. Departament d'Agricultura, Ramaderia, Pesca i Alimentació (DARP))
Lavín González, Santiago (Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals)
López Olvera, Jorge R (Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals)

Fecha:	2023
Resumen:	Synurbic species adapt to global urbanization by increasingly inhabiting urban environments, where social and ecological factors, such as anthropogenic food resources and habitat alterations, promote close human-wildlife interactions. Ineffective management of these interactions can result in conflicts, altered animal population dynamics, and increased public and private expenditures. This study presents the Barcelona wild boar (BCNWB)-prototype model, a spatially explicit, incremental agent-based simulation that captures interactions between citizens and wild boar (Sus scrofa) agents in fine-scale GIS-based scenarios in Barcelona. Developed using GAMA software, the model's results were analyzed with QGIS and R software. The model aims to simulate the dynamics of the social-ecological system underlying the urban ecosystem use by synurbic wild boars and their interactions with humans in the (peri)urban area of Barcelona, Spain. The BCNWB-prototype model demonstrated high accuracy in predicting the magnitude and location of wild boar movements (multiple-resolution-goodness-of-fit = 0. 73) compared to reported wild boar presences in Barcelona. The model also forecasted 115 attack events and 1,442 direct feeding events during a one-year simulation period, as compared to the actual 150 attacks and 1,858 feeding events reported annually. The model's strong performance highlights its potential as a predictive tool for identifying priority areas for human-wild boar interactions and conflicts. Additionally, the model could be employed to assess the cost-effectiveness of management strategies and evaluate the spread, transmission risks, and public health implications of pathogens carried by wild boars.
Ayudas:	Agencia Estatal de Investigación PID2020-115046GB-I00 Agencia Estatal de Investigación RYC-2016-21120 Agència de Gestió d'Ajuts Universitaris i de Recerca 2016FI_B 00425 Agència de Gestió d'Ajuts Universitaris i de Recerca 2017FI_B1 00040 Agència de Gestió d'Ajuts Universitaris i de Recerca 2018FI_B2_00030
Nota:	Altres ajuts: acords transformatius de la UAB
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Agent-based model ; Human-wildlife interaction ; Spatial-explicit simulation model ; Synurbization ; Urban ecosystem ; Urban wild boar
Publicado en:	Landscape and urban planning, Vol. 240 (December 2023) , art. 104878, ISSN 0169-2046

DOI: 10.1016/j.landurbplan.2023.104878

11 p, 19.0 MB

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