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High‐resolution prediction of leaf onset date in Japan in the 21st century under the IPCC A1B scenario

机译:IPCC A1B情景下21世纪日本叶片发病日期的高分辨率预测

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AbstractReports indicate that leaf onset (leaf flush) of deciduous trees in cool-temperate ecosystems is occurring earlier in the spring in response to global warming. In this study, we created two types of phenology models, one driven only by warmth (spring warming [SW] model) and another driven by both warmth and winter chilling (parallel chill [PC] model), to predict such phenomena in the Japanese Islands at high spatial resolution (500 m). We calibrated these models using leaf onset dates derived from satellite data (Terra/MODIS) and in situ temperature data derived from a dense network of ground stations Automated Meteorological Data Acquisition System. We ran the model using future climate predictions created by the Japanese Meteorological Agency's MRI-AGCM3.1S model. In comparison to the first decade of the 2000s, our results predict that the date of leaf onset in the 2030s will advance by an average of 12 days under the SW model and 7 days under the PC model throughout the study area. The date of onset in the 2090s will advance by 26 days under the SW model and by 15 days under the PC model. The greatest impact will occur on Hokkaido (the northernmost island) and in the central mountains.
机译:摘要报告表明,响应全球变暖,在凉爽的生态系统中,落叶乔木的叶片发作(叶片冲洗)发生在春季的早些时候。在这项研究中,我们创建了两种类型的物候模型,一种仅由温暖驱动(春季暖化[SW]模型),另一种由温暖和冬季寒冷驱动(平行寒冷[PC]模型),以预测日语中的这种现象高空间分辨率(500 m)的岛屿。我们使用源自卫星数据(Terra / MODIS)的叶片发病日期和源自密集地面站网络的自动气象数据采集系统的原位温度数据对这些模型进行了校准。我们使用日本气象厅的MRI-AGCM3.1S模型创建的未来气候预测来运行该模型。与2000年代的前十年相比,我们的结果预测,在整个研究区域中,在SW模式下,2030年代的叶子发病日期平均提前12天,在PC模式下,平均提前7天。在SW模式下,2090年代的发病日期将提前26天,在PC模式下,发病日期将提前15天。影响最大的将是北海道(最北端的岛屿)和中部山区。

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