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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/37854
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Title: | Trends in land cover and in pollen concentration of Quercus genus in Alentejo, Portugal: Effects of climate change and health impacts |
Authors: | Galveias, Ana Duarte, Ediclê Raposo, Mauro Costa, Maria João Costa, Ana Antunes, Célia |
Keywords: | Quercus Pollen production Climate change Antihistamines sales |
Issue Date: | 2024 |
Publisher: | Elsevier |
Citation: | Galveias, A., Duarte, E. de S. F., Raposo, M., Costa, M. J., Costa, A. R., & Antunes, C. M. (2024). Trends in land cover and in pollen concentration of Quercus genus in Alentejo, Portugal: Effects of climate change and health impacts. In Environmental Pollution (Vol. 362, p. 124996). Elsevier BV. https://doi.org/10.1016/j.envpol.2024.124996. |
Abstract: | Mediterranean forests dominated by Quercus species are of great ecological and economic value. The Quercus
pollen season, peaking in April, varies in concentration due to geographical and climatic factors and has a
remarkable allergenic potential. This study investigates Quercus trends in the Alentejo region of Portugal and
examines the influence of meteorological parameters on DPC, PSD and SPIn, as well as the impact on allergic
respiratory disease. The results show a progressive increase in Quercus Forest area from 1995 to 2018. Temperature
and Precipitation are a key factor influencing pollen concentration, especially before peak of pollen
season and prior to the pollen season. Particularly prior to the season, the precipitation of t-6 before influence,
significantly, the pollen production. On the other hand, Global Srad and RH determine the beginning of the
season. Using quartile-based categorization and multivariate statistical analysis, we identified years and scenarios
within the IPCC projections where meteorological conditions influence may SPIn production. The study
found a statistically significant correlation between high Quercus pollen concentrations in April and increased
antihistamine sales. These findings are crucial for enhancing pollen forecast models and early warning systems. |
URI: | https://doi.org/10.1016/j.envpol.2024.124996 http://hdl.handle.net/10174/37854 |
Type: | article |
Appears in Collections: | CREATE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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