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dc.contributor.authorSaenz Echeverria, Melio Altamir-
dc.contributor.authorPeláez, José Ignacio-
dc.contributor.authorBelem, Mahamadou-
dc.contributor.authorElger, Arnaud-
dc.contributor.authorDurango Cordero, Juan-
dc.contributor.authorFerrant, Sylvain-
dc.contributor.authorGaudou, Benoit-
dc.contributor.authorMaestripieri, Nicolas-
dc.contributor.authorJaderne Houssou, Noudéhouénou Lionel-
dc.contributor.authorMaurice, Laurence-
dc.contributor.authorMorin, Lucie-
dc.contributor.authorLerigoleur, Emilie-
dc.contributor.authorSaqalli, Mehdi-
dc.contributor.authorBouadjio Boulic, Audren-
dc.date.accessioned2020-05-15T23:44:23Z-
dc.date.available2020-05-15T23:44:23Z-
dc.date.issued2019-
dc.identifier.issn14607425-
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/34322-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065480628&origin=inward-
dc.descriptionSince 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 a_ecting rivers, soils and people. This infrastructure has a probability of leaks, ruptures and other accidents that produce oil pollution a_ecting 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. © 2019, University of Surrey. All rights reserved.-
dc.description.abstract© 2019, University of Surrey. All rights reserved. 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 a_ecting rivers, soils and people. This infrastructure has a probability of leaks, ruptures and other accidents that produce oil pollution a_ecting 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.-
dc.language.isoes_ES-
dc.sourceJournal of Artificial Societies and Social Simulation JASSS-
dc.subjectOil pollution exposure-
dc.subjectHistorical Modeling Reconstruction-
dc.subjectEcuadorian Amazon-
dc.subjectAgent-based modeling-
dc.subjectColonization demography-
dc.titleSynchronizing histories of exposure and demography: the construction of an agent- based model of the ecuadorian amazon colonization and exposure to oil pollution hazards-
dc.typeARTÍCULO-
dc.ucuenca.idautorSgrp-2758-14-
dc.ucuenca.idautor0000-0002-2606-3849-
dc.ucuenca.idautor1701983130-
dc.ucuenca.idautorSgrp-2758-1-
dc.ucuenca.idautorSgrp-2758-2-
dc.ucuenca.idautorSgrp-2758-3-
dc.ucuenca.idautorSgrp-2758-4-
dc.ucuenca.idautorSgrp-2758-5-
dc.ucuenca.idautorSgrp-2758-6-
dc.ucuenca.idautorSgrp-2758-7-
dc.ucuenca.idautorSgrp-2758-10-
dc.ucuenca.idautorSgrp-2758-11-
dc.ucuenca.idautorSgrp-2758-12-
dc.ucuenca.idautorSgrp-2758-13-
dc.identifier.doi10.18564 / jasss.3957-
dc.ucuenca.versionVersión publicada-
dc.ucuenca.areaconocimientounescoamplio03 - Ciencias Sociales, Periodismo e Información-
dc.ucuenca.afiliacionGaudou, B., Université Toulouse I Capitole, Capitole, Francia-
dc.ucuenca.afiliacionElger, A., Laboratoire écologie fonctionnelle et environmental (ECOLAB), (Narbonne), Narbonne, Francia-
dc.ucuenca.afiliacionLerigoleur, E., Université Toulouse, Jean Jaures, Toulouse, Francia-
dc.ucuenca.afiliacionPeláez, J., Universidad de Málaga (Málaga), Málaga, España-
dc.ucuenca.afiliacionSaqalli, M., Université Toulouse, Jean Jaures, Toulouse, Francia-
dc.ucuenca.afiliacionMaurice, L., Géosciences Environnement Toulouse, Toulouse, Francia-
dc.ucuenca.afiliacionBelem, M., WASCAL West African Science Service Centre on Climate Change and Adapted Land Use, Ouagadougou, Burkina faso-
dc.ucuenca.afiliacionFerrant, S., Université Tolouse III Paul Sabatier, Tolouse, Francia-
dc.ucuenca.afiliacionMaestripieri, N., TerraNIS, (Ramonville), Ramonville, Francia-
dc.ucuenca.afiliacionMorin, L., Direction régionale de lAlimentation, de lAgriculture et de la Foret, Mamoudzou, Francia-
dc.ucuenca.afiliacionBouadjio, A., Université Toulouse I Capitole, Capitole, Francia-
dc.ucuenca.afiliacionDurango, J., Laboratoire écologie fonctionnelle et environmental (ECOLAB), (Narbonne), Narbonne, Francia-
dc.ucuenca.afiliacionJaderne, N., Université la Rochelle, La Rochelle, Francia-
dc.ucuenca.afiliacionSaenz, M., Universidad de Cuenca, PROMAS, Cuenca, Ecuador-
dc.ucuenca.correspondenciaSaqalli, Mehdi, mehdi.saqalli@univ-tlse2.f-
dc.ucuenca.volumenVolumen 22, número 2-
dc.ucuenca.indicebibliograficoSCOPUS-
dc.ucuenca.factorimpacto1.097-
dc.ucuenca.cuartilQ1-
dc.ucuenca.numerocitaciones0-
dc.ucuenca.areaconocimientofrascatiamplio5. Ciencias Sociales-
dc.ucuenca.areaconocimientofrascatiespecifico5.9 Otras Ciencias Sociales-
dc.ucuenca.areaconocimientofrascatidetallado5.9.1 Ciencias Sociales Interdisciplinarias-
dc.ucuenca.areaconocimientounescoespecifico031 - Ciencias Sociales y Ciencias del Comportamiento-
dc.ucuenca.areaconocimientounescodetallado0314 - Sociología y Estudios Culturales-
dc.ucuenca.urifuentehttp://jasss.soc.surrey.ac.uk/index_by_issue.html-
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