Peri-urban pesticide contamination risk index

Autores
Agost, Lisandro; Velázquez, Guillermo Ángel
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The massive use of pesticides in the production of food and raw materials generates growing world concern due to the numerous evidences of their negative effects on health and the environment. In countries where detailed information of agricultural pesticide use near to urban areas is not available, it is necessary have a simple methodology that does not require data that are difficult to obtain in order to create an ecological indicator of the risk of pesticide contamination at the peri-urban level. The objective of this research is to generate a periurban pesticide contamination risk index using satellite information and accessible scientific pesticide data. The Peri-urban Pesticide Contamination Risk Index (PUPCRI) is composed of an indicator of the toxicity of the set of pesticides used in each crop, and two factors that quantify the surface occupied by agricultural activity and the tree surface in the urban periphery. The Environmental Risk Index has been used to calculate the toxicity of herbicides, insecticides and fungicides used in soybean, corn and wheat crops. Through the classification of Sentinel 2 satellite images, data was obtained of arable land, soybean, corn and wheat crops, and tree cover, in different peri-urban rings, with a maximum distance of two kilometers from the urban edge. The PUPCRI index was tested in 20 cities pertaining to the region with the highest agricultural productivity in Argentina. The results show that most of the cities have high to very high indices of exposure to pesticides, mainly due to the proximity of agricultural activity to the urban edge and the lack of tree cover. The PUPCRI index allows a quick and simple analysis of the potential risk of exposure to the use of crop pesticides in the urban periphery.
Fil: Agost, Lisandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Velázquez, Guillermo Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; Argentina
Materia
CONTAMINATION RISK ASSESSMENT
PESTICIDE
PERI-URBAN
INTENSIVE FARMING
TREE COVER
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/143691
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Peri-urban pesticide contamination risk indexAgost, LisandroVelázquez, Guillermo ÁngelCONTAMINATION RISK ASSESSMENTPESTICIDEPERI-URBANINTENSIVE FARMINGTREE COVERhttps://purl.org/becyt/ford/5.7https://purl.org/becyt/ford/5The massive use of pesticides in the production of food and raw materials generates growing world concern due to the numerous evidences of their negative effects on health and the environment. In countries where detailed information of agricultural pesticide use near to urban areas is not available, it is necessary have a simple methodology that does not require data that are difficult to obtain in order to create an ecological indicator of the risk of pesticide contamination at the peri-urban level. The objective of this research is to generate a periurban pesticide contamination risk index using satellite information and accessible scientific pesticide data. The Peri-urban Pesticide Contamination Risk Index (PUPCRI) is composed of an indicator of the toxicity of the set of pesticides used in each crop, and two factors that quantify the surface occupied by agricultural activity and the tree surface in the urban periphery. The Environmental Risk Index has been used to calculate the toxicity of herbicides, insecticides and fungicides used in soybean, corn and wheat crops. Through the classification of Sentinel 2 satellite images, data was obtained of arable land, soybean, corn and wheat crops, and tree cover, in different peri-urban rings, with a maximum distance of two kilometers from the urban edge. The PUPCRI index was tested in 20 cities pertaining to the region with the highest agricultural productivity in Argentina. The results show that most of the cities have high to very high indices of exposure to pesticides, mainly due to the proximity of agricultural activity to the urban edge and the lack of tree cover. The PUPCRI index allows a quick and simple analysis of the potential risk of exposure to the use of crop pesticides in the urban periphery.Fil: Agost, Lisandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; ArgentinaFil: Velázquez, Guillermo Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; ArgentinaElsevier2020-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/143691Agost, Lisandro; Velázquez, Guillermo Ángel; Peri-urban pesticide contamination risk index; Elsevier; Ecological Indicators; 114; 7-2020; 1-111470-160XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1470160X20302752?via%3Dihubinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2020.106338info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:42:28Zoai:ri.conicet.gov.ar:11336/143691instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:42:28.738CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Peri-urban pesticide contamination risk index
title Peri-urban pesticide contamination risk index
spellingShingle Peri-urban pesticide contamination risk index
Agost, Lisandro
CONTAMINATION RISK ASSESSMENT
PESTICIDE
PERI-URBAN
INTENSIVE FARMING
TREE COVER
title_short Peri-urban pesticide contamination risk index
title_full Peri-urban pesticide contamination risk index
title_fullStr Peri-urban pesticide contamination risk index
title_full_unstemmed Peri-urban pesticide contamination risk index
title_sort Peri-urban pesticide contamination risk index
dc.creator.none.fl_str_mv Agost, Lisandro
Velázquez, Guillermo Ángel
author Agost, Lisandro
author_facet Agost, Lisandro
Velázquez, Guillermo Ángel
author_role author
author2 Velázquez, Guillermo Ángel
author2_role author
dc.subject.none.fl_str_mv CONTAMINATION RISK ASSESSMENT
PESTICIDE
PERI-URBAN
INTENSIVE FARMING
TREE COVER
topic CONTAMINATION RISK ASSESSMENT
PESTICIDE
PERI-URBAN
INTENSIVE FARMING
TREE COVER
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.7
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv The massive use of pesticides in the production of food and raw materials generates growing world concern due to the numerous evidences of their negative effects on health and the environment. In countries where detailed information of agricultural pesticide use near to urban areas is not available, it is necessary have a simple methodology that does not require data that are difficult to obtain in order to create an ecological indicator of the risk of pesticide contamination at the peri-urban level. The objective of this research is to generate a periurban pesticide contamination risk index using satellite information and accessible scientific pesticide data. The Peri-urban Pesticide Contamination Risk Index (PUPCRI) is composed of an indicator of the toxicity of the set of pesticides used in each crop, and two factors that quantify the surface occupied by agricultural activity and the tree surface in the urban periphery. The Environmental Risk Index has been used to calculate the toxicity of herbicides, insecticides and fungicides used in soybean, corn and wheat crops. Through the classification of Sentinel 2 satellite images, data was obtained of arable land, soybean, corn and wheat crops, and tree cover, in different peri-urban rings, with a maximum distance of two kilometers from the urban edge. The PUPCRI index was tested in 20 cities pertaining to the region with the highest agricultural productivity in Argentina. The results show that most of the cities have high to very high indices of exposure to pesticides, mainly due to the proximity of agricultural activity to the urban edge and the lack of tree cover. The PUPCRI index allows a quick and simple analysis of the potential risk of exposure to the use of crop pesticides in the urban periphery.
Fil: Agost, Lisandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Velázquez, Guillermo Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; Argentina
description The massive use of pesticides in the production of food and raw materials generates growing world concern due to the numerous evidences of their negative effects on health and the environment. In countries where detailed information of agricultural pesticide use near to urban areas is not available, it is necessary have a simple methodology that does not require data that are difficult to obtain in order to create an ecological indicator of the risk of pesticide contamination at the peri-urban level. The objective of this research is to generate a periurban pesticide contamination risk index using satellite information and accessible scientific pesticide data. The Peri-urban Pesticide Contamination Risk Index (PUPCRI) is composed of an indicator of the toxicity of the set of pesticides used in each crop, and two factors that quantify the surface occupied by agricultural activity and the tree surface in the urban periphery. The Environmental Risk Index has been used to calculate the toxicity of herbicides, insecticides and fungicides used in soybean, corn and wheat crops. Through the classification of Sentinel 2 satellite images, data was obtained of arable land, soybean, corn and wheat crops, and tree cover, in different peri-urban rings, with a maximum distance of two kilometers from the urban edge. The PUPCRI index was tested in 20 cities pertaining to the region with the highest agricultural productivity in Argentina. The results show that most of the cities have high to very high indices of exposure to pesticides, mainly due to the proximity of agricultural activity to the urban edge and the lack of tree cover. The PUPCRI index allows a quick and simple analysis of the potential risk of exposure to the use of crop pesticides in the urban periphery.
publishDate 2020
dc.date.none.fl_str_mv 2020-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/143691
Agost, Lisandro; Velázquez, Guillermo Ángel; Peri-urban pesticide contamination risk index; Elsevier; Ecological Indicators; 114; 7-2020; 1-11
1470-160X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/143691
identifier_str_mv Agost, Lisandro; Velázquez, Guillermo Ángel; Peri-urban pesticide contamination risk index; Elsevier; Ecological Indicators; 114; 7-2020; 1-11
1470-160X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1470160X20302752?via%3Dihub
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2020.106338
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.891075

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