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Authordc.contributor.authorOliveira Duarte, Heitor 
Authordc.contributor.authorLópez Droguett, Enrique 
Authordc.contributor.authorChagas Moura, Márcio das 
Authordc.contributor.authorCampos Siqueira, Paulo Gabriel Santos 
Authordc.contributor.authorde Lira Júnior, José Claudino 
Admission datedc.date.accessioned2019-10-11T17:30:05Z
Available datedc.date.available2019-10-11T17:30:05Z
Publication datedc.date.issued2020
Identifierdc.identifier.issn15497860
Identifierdc.identifier.issn10807039
Identifierdc.identifier.other10.1080/10807039.2019.1596736
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/171249
Abstractdc.description.abstract© 2019, © 2019 Taylor & Francis Group, LLC.The environment is a complex system where humans, materials (e.g. pollutants), and ecological (e.g. plants, animals, microbes) and meteorological conditions interact with each other. The impact of humans potentially causes significant damage to either the environment (e.g. oil spills may pollute coastal ecosystems) or turns against humans themselves by favoring the growth of unwanted species (e.g. poor sanitation increases microbial populations that cause the risk of large numbers of humans falling ill). Thus, this paper presents a flexible method for quantifying either ecological risks (i.e. the percentage likelihood of adverse effects on the ecosystem due to its exposure to stressors such as chemicals, fishing, etc.) or microbial risks (i.e. the likelihood of negative effects in humans due to their exposure to microbial pathogens). The method uses population modeling to simulate future changes in the numbers of key-species (e.g. fish, corals
Lenguagedc.language.isoen
Publisherdc.publisherTaylor and Francis Inc.
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceHuman and Ecological Risk Assessment
Keywordsdc.subjectecological risk
Keywordsdc.subjectenvironmental risk
Keywordsdc.subjectmicrobial risk
Keywordsdc.subjectpopulation modeling
Keywordsdc.subjectquantitative risk assessment
Keywordsdc.subjectuncertainty
Títulodc.titleA novel quantitative ecological and microbial risk assessment methodology: theory and practice
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorSCOPUS
Indexationuchile.indexArtículo de publicación ISI
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile