RT Journal Article
T1 Modeling olive pollen intensity in the Mediterranean region through analysis of emission sources
A1 Rojo Úbeda, Jesús
A1 Orlandi, Fabio
A1 Pérez-Badia, Rosa
A1 Aguilera, Fátima
A1 Ben Dhiab, Ali
A1 Bouziane, Hassan
A1 Díaz de la Guardia, Consuelo
A1 Galán, Carmen
A1 Gutiérrez Bustillo, Adela Montserrat
A1 Moreno-Grau, Stella
A1 Msallem, Monji
A1 Trigo, María del Mar
A1 Fornaciari, Marco
AB Aerobiological monitoring of Olea europaea L. is of great interest in the Mediterranean basin because olive pollen is one of the most represented pollen types of the airborne spectrum for the Mediterranean region, and olive pollen is considered one of the major cause of pollinosis in this region. The main aim of this study was to develop an airborne-pollen map based on the Pollen Index across a 4-year period (2008–2011), to provide a continuous geographic map for pollen intensity that will have practical applications from the agronomical and allergological points of view. For this purpose, the main predictor variable was an index based on the distribution and abundance of potential sources of pollen emission, including intrinsic information about the general atmospheric patterns of pollen dispersal. In addition, meteorological variables were included in the modeling, together with spatial interpolation, to allow the definition of a spatial model of the Pollen Index from the main olive cultivation areas in the Mediterranean region. The results show marked differences with respect to the dispersal patterns associated to the altitudinal gradient. The findings indicate that areas located at an altitude above 300 m a.s.l. receive greater amounts of olive pollen from shorter-distance pollen sources (maximum influence, 27 km) with respect to areas lower than 300 m a.s.l. (maximum influence, 59 km).
PB Elsevier
SN 0048-9697
YR 2016
FD 2016
LK https://hdl.handle.net/20.500.14352/115918
UL https://hdl.handle.net/20.500.14352/115918
LA eng
NO Rojo, J., et al. «Modeling Olive Pollen Intensity in the Mediterranean Region through Analysis of Emission Sources». Science of The Total Environment, vol. 551-552, mayo de 2016, pp. 73-82. https://doi.org/10.1016/j.scitotenv.2016.01.193.
DS Docta Complutense
RD 16 dic 2025