Departament de Física, EEBE, Universitat Politècnica de Catalunya - BarcelonaTech, Eduard Maristany 16, 08019 Barcelona, Spain.
Departament de Física, ESEIAAT, Universitat Politècnica de Catalunya - BarcelonaTech, Colom 1, 08222 Terrassa, Spain.
Sci Total Environ. 2024 Aug 10;937:173363. doi: 10.1016/j.scitotenv.2024.173363. Epub 2024 May 23.
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).
全球变暖的影响众多,最近的研究表明,它可能会影响授粉的时间。温度是与大多数观测到的空气传播花粉类群的授粉季节开始最相关的气象变量。在加泰罗尼亚,在过去的五十年中,年平均气温上升了+0.23°C/十年,当地的变暖速度略高于全球水平。预测指出,未来几十年气温将上升,到本世纪中叶,气温上升幅度将更为显著。为了分析由于全球变暖导致的气温升高对巴塞罗那花粉季节开始日期的影响,应用了一个预测模型,该模型基于确定植物对花粉季节开始的热需求。该模型广泛应用于文献中,主要用于确定植物开始花粉季节的热需求。为了获得初始参数,对该模型进行了校准,使用了 20 年的花粉数据(2000-2019 年),随后通过在校准期间进行内部评估以及在不包括在校准中的 4 年(2020-2023 年)进行外部评估来测试模型的有效性。内部校准的平均偏差误差在-0.4 到-0.6 天之间,外部评估的平均偏差误差在+0.5 到-8.3 天之间,具体取决于类群。该模型应用于 21 世纪的温度预测的结果表明,城市中几种丰富的花粉类型的授粉日期将逐渐提前,其中大部分花粉类型都是过敏原。在本世纪末,根据气候模型,对于浓度最高的情景(RCP8.5),这些提前范围在 15 到 27 天之间,对于排放稳定情景(RCP4.5),提前范围在 7 到 12 天之间。