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dc.date.accessioned 2019-02-26T16:14:55Z
dc.date.available 2019-02-26T16:14:55Z
dc.date.issued 2018
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/72644
dc.description.abstract Living organisms have different sensitivities to toxicants. This variability can be represented by constructing a species sensitivity distribution (SSD) curve, whereby the toxicity of a substance to a group of species is described by a statistical distribution. Building the SSD curve allows calculating the HC5, that is, the concentration at which 5% of the considered species are affected. The HC5 is widely used as an environmental quality criterion and a tool for ecological risk assessment. The objectives of the present work were (1) to develop a user interface using the shiny package, (2) generate a graphic as visualization to evaluate for which pesticides there is enough data for the calculation of the SSD curve, (3) allow the user to apply quality criteria to the database, (4) to estimate the HC5 for a number of pesticides from a user provided toxicological database. We present the completed work here. The first tab allows the user to upload or complete their own database that can consist of several toxicological endpoints for different pesticides. The second tab of the user interface is used for visualization of the number of species for which toxicological data is available for each pesticide in the dataset. The number of data points available at every case is important as there is a minimum sample size for building a valid SSD curve. After selecting the pesticide and animal groups, the user can filter and select subsets of data from the whole database by applying different quality criteria, (e.g., if the studies reported a chemical confirmation of the concentrations of pesticide tested). The final SSD curve is fitted to different distributions using the package fitdistrplus. The HC5 is estimated by the distribution presenting the best goodness of fit. By facilitating and streamlining species toxicity data analysis and the creation of SSD curves, the user interface proposed here should be useful for environmental managers and regulators conducting ecological risk assessments. en
dc.language en es
dc.subject contamination en
dc.subject pesticides en
dc.subject environmental management en
dc.subject user interface en
dc.subject regulation en
dc.subject toxicological database en
dc.subject shiny package en
dc.title Species Sensitivity Distributions for Ecotoxicological Risk Assessment: elaboration of a shiny app to facilitate data analysis en
dc.type Objeto de conferencia es
sedici.identifier.uri http://47jaiio.sadio.org.ar/sites/default/files/LatinR_41.pdf es
sedici.identifier.issn 2618-3196 es
sedici.creator.person D’Andrea, María Florencia es
sedici.creator.person Brodeur, Julie Celine es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Resumen es
sedici.rights.license Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-sa/3.0/
sedici.date.exposure 2018-09
sedici.relation.event Conferencia Latinoamericana sobre Uso de R en Investigación + Desarrollo (LatinR 2018) - JAIIO 47 (CABA, 2018) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)