Projections of the start of the airborne pollen season in Barcelona (NE Iberian Peninsula) over the 21st century
| dc.contributor.author | 2. Alarcon, M.; Casas-Castillo, M. Carmen; Rodríguez-Solà, Raül; Periago, M.C.; Belmonte, J. | |
| dc.date.accessioned | 2026-01-29T14:13:10Z | |
| dc.date.available | 2026-01-29T14:13:10Z | |
| dc.date.issued | 2026-01-29 | |
| dc.description.abstract | The effects of global warming are numerous and recent studies reveal that they can affect the timing of pollination. Temperature is the meteorological variable that presents a clearer relationship with the start of the pollination season of most of the observed airborne pollen taxa. In Catalonia, in the last fifty years, the average annual air temperature has increased by +0.23 ◦C/decade, and the local warming has been slightly higher than the one on a global scale. Projections point to an increase in temperature in the coming decades, which would be more marked towards the middle of the century. To analyse the effect of the increase in temperature due to global warming on the starting date of pollen season in Barcelona, a forecasting model has been applied to a set of projected future temperatures estimated by the European RESCCUE project. This model, largely used in the literature, is based on determining the thermal needs of the plant for the pollen season to begin. The model calibration to obtain the initial parameters has been made by using 20 years of pollen data (2000–2019), and the model effectiveness has subsequently been tested through an internal evaluation over the period of the calibration and an external evaluation on 4 years not included in the calibration (2020 2023). The mean bias error in the internal calibration ranged between 0.4 and 0.6 days, and between +0.5 and 8.3 in the external one, depending on the taxon. The results of the application of the model to the temperature projections over the 21st century point to a progressive advancement in the pollination dates of several pollen types abundant in the city, allergenic most of them. These advances ranged, at the end of the century, between 15 and 27 days, depending on the climate model, for the scenario of the highest concentrations (RCP8.5) and between 7 and 12 days for the emissions stabilization scenario (RCP4.5). | es_ES |
| dc.description.sponsorship | We acknowledge the financial support of the European Commission for ENV4-CT98-0755; the Spanish Government for AMB97-0457-CO7- 021, REN2001-10659-CO3-01, CGL2004-21166-E, CGL2005-07543/CLI, CGL2009-11205, CGL2012-39523-C02-01/CLI, CGL2012-39523- C02-01, CGL2012-39523-C02-02, CGL2016-75996-R, CTM2017-89565-C2-1-P, CTM2017-89565-C2-2, grant PID2020-117873RB-I00 funded by MCIN/AEI/10.13039/501100011033 and CONSOLIDER GRACCIE; the Catalan Government agency AGAUR for 2002SGR00059, 2005SGR00519, 2009SGR1102, and 2014SGR1274; Sociedad Espa˜nola de Alergología e Inmunología Clínica (SEAIC); Laboratorios LETI PHARMA; Societat Catalana d’Al⋅l`ergia i Immunologia Clínica (SCAIC); Stallergenes Ib´erica; S.A.; J Uriach y Compa˜nia; S.A. This research contributes to the “María de Maeztu” Programme for Units of Excellence of the Spanish Ministry of Science and Innovation (CEX2019-000940- M). The authors gratefully acknowledge the Servei Meteorol`ogic de Catalunya and RESCCUE Project for the data used in this publication | es_ES |
| dc.identifier.doi | https://doi.org/10.1016/j.scitotenv.2024.173363 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14855/5665 | |
| dc.language.iso | eng | es_ES |
| dc.relation.ispartofseries | Science of the total environment;937, 173363 (2024). | |
| dc.rights.accessRights | open access | es_ES |
| dc.subject | Climate change Forecast Temperature projections Start pollination Pollen prediction Allergenic pollen | es_ES |
| dc.title | Projections of the start of the airborne pollen season in Barcelona (NE Iberian Peninsula) over the 21st century | es_ES |
| dc.type | journal article | es_ES |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Alarcon_ProjectionsStartAirbornePollenSeason_STOTEN2024.pdf
- Size:
- 7.23 MB
- Format:
- Adobe Portable Document Format

