Houssou N.LJ., Cordero J.D., Bouadjio-Boulic A., Morin L., Maestripieri N., Ferrant S., Belem M., Pelaez Sanchez J.I., Saenz M., Lerigoleur E., Elger A., Gaudou B., Maurice Laurence, Saqalli M.  (2019).     Synchronizing histories of exposure and demography : the construction of an agent-based model of the Ecuadorian Amazon colonization and exposure to oil pollution hazards.          Journal of Artificial Societies and Social Simulation,    22 (2),    art. no 1 [23 p. en ligne].     
                        
                                             
                
                                                        
                                        
                        
                            Titre du document
                        
                        Synchronizing histories of exposure and demography : the construction of an agent-based model of the Ecuadorian Amazon colonization and exposure to oil pollution hazards
                     
                                        
                                                            
                        
                            Année de publication
                        
                        2019
                     
                                        
                                                            
                                        
                                        
                        
                            Auteurs
                        
                        
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                            Source
                        
                        
                                                            Journal of Artificial Societies and Social Simulation,                                                                                        2019, 
                                                                                        22 (2),                                                                                                                                                        art. no 1 [23 p. en ligne]                             
                     
                    
                                                            
                                                            
                                                            
                        Since the 1970s, the northern part of the Amazonian region of Ecuador has been colonized with the support of intensive oil extraction that has opened up roads and supported the settlement of people from Outside Amazonia. These dynamics have caused important forest cuttings but also regular oil leaks and spills, contaminating both soil and water. The PASHAMAMA Model seeks to simulate these dynamics on both environment and population by examining exposure and demography over time thanks to a retro-prospective and spatially explicit agent-based approach. The aim of the present paper is to describe this model, which integrates two dynamics: (a) Oil companies build roads and oil infrastructures and generate spills, inducing leaks and pipeline ruptures affecting rivers, soils and people. This infrastructure has a probability of leaks, ruptures and other accidents that produce oil pollution affecting rivers, soils and people. (b) New colonists settled in rural areas mostly as close as possible to roads and producing food and/or cash crops. The innovative aspect of this work is the presentation of a qualitative-quantitative approach explicitly addressed to formalize interdisciplinary modeling when data contexts are almost always incomplete.
                     
                                                                                                    
                        
                            Plan de classement
                        
                        
                                                            Sciences fondamentales / Techniques d'analyse et de recherche [020]
                                                                     ; 
                                                                                            Limnologie physique / Océanographie physique [032]
                                                                     ; 
                                                                                            Démographie [108]
                                                                                    
                     
                                        
                                                            
                                                            
                        
                            Localisation
                        
                        Fonds IRD [F B010075920]
                                                    
                     
                                        
                                                            
                        
                            Identifiant IRD
                        
                        
                            fdi:010075920