Analysis of the meteorological drought in four agricultural locations of Venezuela by the combination of multivariate methods.

On a global scale, agriculture is considered the most vulnerable to drought, representing one of the most devastating climate threats. For this reason, the objective of this work was to analyze the occurrence of meteorological drought by means of time series of the Normalized Precipitation Index dur...

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Detalles Bibliográficos
Autores: Orlando Olivares, Barlin, Zingaretti, M. L.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Costa Rica
Institución:Universidad Estatal a Distancia
Repositorio:Portal de Revistas UNED
Idioma:español
OAI Identifier:oai:revistas.investiga.uned.ac.cr:article/2026
Acceso en línea:https://revistas.uned.ac.cr/index.php/cuadernos/article/view/2026
Access Level:acceso abierto
Palabra clave:agriculture
climate
precipitation
water deficit
drought
agricultura
clima
precipitación
déficit hídrico
sequía
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spelling Analysis of the meteorological drought in four agricultural locations of Venezuela by the combination of multivariate methods.Análisis de la sequía meteorológica en cuatro localidades agrícolas de Venezuela mediante la combinación de métodos multivariadosOrlando Olivares, BarlinZingaretti, M. L.agricultureclimateprecipitationwater deficitdroughtagriculturaclimaprecipitacióndéficit hídricosequíaOn a global scale, agriculture is considered the most vulnerable to drought, representing one of the most devastating climate threats. For this reason, the objective of this work was to analyze the occurrence of meteorological drought by means of time series of the Normalized Precipitation Index during the period (1980-2014) for four Venezuelan agricultural sites. For the analysis, we used the combination of two multivariate methods: the Principal Coordinate Analysis of the data matrices using Euclidean Distance and the Cluster Analysis. The results of the analysis revealed three groups of years for the localities El Tigre and Banco de San Pedro, represented by the wet years, normal or intermediate conditions and years with significant water deficit; while for the rest of the localities (Tapipa-Padrón and El Guayabo) only two groups of years are distinguished (humid and dry). The statistical methodology based on the multivariate analysis allowed delineating groups of years that showed similar patterns of the index of meteorological drought as a function of the time series. The study is the backbone for space planning and the strengthening of strategies for food security in those localities.A escala global, la agricultura es considerada la actividad más vulnerable a la sequía, representando una de las amenazas climáticas más devastadoras. Es por ello que, el objetivo de este trabajo fue analizar la ocurrencia de la sequía meteorológica por medio de series temporales del Índice Normalizado de Precipitación durante el periodo (1980-2014) para cuatro localidades agrícolas venezolanas. Para el análisis, se usó la combinación de dos métodos multivariados: el Análisis de Coordenadas Principales de las matrices de datos usando distancia Euclídea y el Análisis Clúster. Los resultados del análisis revelaron tres grupos de años para las localidades El Tigre y Banco de San Pedro, representados por los años húmedos, condición normal o intermedios y años con déficit hídrico significativo; mientras que para el resto de las localidades (Tapipa-Padrón y El Guayabo) solo se distinguen dos grupos de años (húmedos y secos). La metodología estadística basada en el análisis multivariado permitió delinear grupos de años que mostraron patrones semejantes del índice de sequía meteorológica en función a la serie temporal. El estudio constituye la columna vertebral para la planificación del espacio y el fortalecimiento de las estrategias para la seguridad alimentaria en esas localidades.Universidad Estatal a Distancia, Costa Rica2018-02-28info:eu-repo/semantics/publishedVersionartículo originalhttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleapplication/pdftext/htmlapplication/epub+ziphttps://revistas.uned.ac.cr/index.php/cuadernos/article/view/202610.22458/urj.v10i1.2026UNED Research Journal; Vol. 10 No. 1 (2018)UNED Research Journal; Vol. 10 Núm. 1 (2018)1659-441X1659-4266reponame:Portal de Revistas UNEDinstname:Universidad Estatal a Distanciainstacron:UNEDspahttps://revistas.uned.ac.cr/index.php/cuadernos/article/view/2026/2292https://revistas.uned.ac.cr/index.php/cuadernos/article/view/2026/2293https://revistas.uned.ac.cr/index.php/cuadernos/article/view/2026/2294Derechos de autor 2018 Cuadernos de Investigación UNEDacceso abiertohttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccess2022-09-01T20:21:10Zoai:revistas.investiga.uned.ac.cr:article/2026Universidadhttp://www.uned.ac.crhttps://revistas.uned.ac.cr/index.php/index/oaissegura@uned.ac.crCosta RicaNo aplicaNo aplicaNo aplicaopendoar:02025-06-01T10:59:50.388Portal de Revistas UNED - Universidad Estatal a Distanciafalse
dc.title.none.fl_str_mv Analysis of the meteorological drought in four agricultural locations of Venezuela by the combination of multivariate methods.
Análisis de la sequía meteorológica en cuatro localidades agrícolas de Venezuela mediante la combinación de métodos multivariados
title Analysis of the meteorological drought in four agricultural locations of Venezuela by the combination of multivariate methods.
spellingShingle Analysis of the meteorological drought in four agricultural locations of Venezuela by the combination of multivariate methods.
Orlando Olivares, Barlin
agriculture
climate
precipitation
water deficit
drought
agricultura
clima
precipitación
déficit hídrico
sequía
title_short Analysis of the meteorological drought in four agricultural locations of Venezuela by the combination of multivariate methods.
title_full Analysis of the meteorological drought in four agricultural locations of Venezuela by the combination of multivariate methods.
title_fullStr Analysis of the meteorological drought in four agricultural locations of Venezuela by the combination of multivariate methods.
title_full_unstemmed Analysis of the meteorological drought in four agricultural locations of Venezuela by the combination of multivariate methods.
title_sort Analysis of the meteorological drought in four agricultural locations of Venezuela by the combination of multivariate methods.
dc.creator.none.fl_str_mv Orlando Olivares, Barlin
Zingaretti, M. L.
author Orlando Olivares, Barlin
author_facet Orlando Olivares, Barlin
Zingaretti, M. L.
author_role author
author2 Zingaretti, M. L.
author2_role author
dc.subject.none.fl_str_mv agriculture
climate
precipitation
water deficit
drought
agricultura
clima
precipitación
déficit hídrico
sequía
topic agriculture
climate
precipitation
water deficit
drought
agricultura
clima
precipitación
déficit hídrico
sequía
description On a global scale, agriculture is considered the most vulnerable to drought, representing one of the most devastating climate threats. For this reason, the objective of this work was to analyze the occurrence of meteorological drought by means of time series of the Normalized Precipitation Index during the period (1980-2014) for four Venezuelan agricultural sites. For the analysis, we used the combination of two multivariate methods: the Principal Coordinate Analysis of the data matrices using Euclidean Distance and the Cluster Analysis. The results of the analysis revealed three groups of years for the localities El Tigre and Banco de San Pedro, represented by the wet years, normal or intermediate conditions and years with significant water deficit; while for the rest of the localities (Tapipa-Padrón and El Guayabo) only two groups of years are distinguished (humid and dry). The statistical methodology based on the multivariate analysis allowed delineating groups of years that showed similar patterns of the index of meteorological drought as a function of the time series. The study is the backbone for space planning and the strengthening of strategies for food security in those localities.
publishDate 2018
dc.date.none.fl_str_mv 2018-02-28
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
artículo original
http://purl.org/coar/resource_type/c_2df8fbb1
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uned.ac.cr/index.php/cuadernos/article/view/2026
10.22458/urj.v10i1.2026
url https://revistas.uned.ac.cr/index.php/cuadernos/article/view/2026
identifier_str_mv 10.22458/urj.v10i1.2026
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uned.ac.cr/index.php/cuadernos/article/view/2026/2292
https://revistas.uned.ac.cr/index.php/cuadernos/article/view/2026/2293
https://revistas.uned.ac.cr/index.php/cuadernos/article/view/2026/2294
dc.rights.none.fl_str_mv Derechos de autor 2018 Cuadernos de Investigación UNED
acceso abierto
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2018 Cuadernos de Investigación UNED
acceso abierto
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
application/epub+zip
dc.publisher.none.fl_str_mv Universidad Estatal a Distancia, Costa Rica
publisher.none.fl_str_mv Universidad Estatal a Distancia, Costa Rica
dc.source.none.fl_str_mv UNED Research Journal; Vol. 10 No. 1 (2018)
UNED Research Journal; Vol. 10 Núm. 1 (2018)
1659-441X
1659-4266
reponame:Portal de Revistas UNED
instname:Universidad Estatal a Distancia
instacron:UNED
instname_str Universidad Estatal a Distancia
instacron_str UNED
institution UNED
reponame_str Portal de Revistas UNED
collection Portal de Revistas UNED
repository.name.fl_str_mv Portal de Revistas UNED - Universidad Estatal a Distancia
repository.mail.fl_str_mv ssegura@uned.ac.cr
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score 15,81155

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