Platanus pollen season in Andalusia (southern Spain): Trends and modeling

Platanus is a major cause of pollen allergy in many Spanish cities. The present paper reports an analysis of Platanus pollen season throughout the Andalusia region (southern Spain), which has among the highest pollen counts and the highest incidence of Platanus-related allergies in Europe. The main...

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Detalles Bibliográficos
Autores: González Minero, Francisco José, Alcázar, Purificación, Grada Pozo, Herminia, Trigo, María del Mar, Ruiz, Luis, Hidalgo, Pablo, Díaz de la Guardia, Consuelo, Galán, Carmen
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2011
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/34742
Acceso en línea:http://hdl.handle.net/11441/34742
https://doi.org/10.1039/C1EM10355E
Access Level:acceso abierto
Palabra clave:accuracy
environmental temperature
model
phenology
platanus
pollen
pollen allergy
priority journal
season
trend study
Descripción
Sumario:Platanus is a major cause of pollen allergy in many Spanish cities. The present paper reports an analysis of Platanus pollen season throughout the Andalusia region (southern Spain), which has among the highest pollen counts and the highest incidence of Platanus-related allergies in Europe. The main aim was to analyze pollen season trends from 1992 to 2010 in Andalusia; models were also constructed to forecast the start of the season. Daily pollen counts were recorded using Hirst-type volumetric spore- traps. Pollen season start-dates were very similar at all sites, usually occurring in March. The pollen season was delayed over the study period. The Pollen-season duration and Pollen index generally increased throughout the study period. The starting date for temperature accumulation was around the 10th February, although the threshold temperatures varied by site. The regional model for Andalusia failed to provide sufficiently accurate results compared with sub-regional or local models. For modeling purposes, three sub-regions are recommended: Inland, East Coast and West Coast.