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To explore the impacts of future climate change on spring phenology stages (first leaf storey expansion stage, spring flowering stage) of rubber tree in Hainan Island, we established a rubber tree spring phenology simulation model based on the crop clock model and developed a computer software RubberSP. The model simulation accuracy was examined with experimental observed phenology data. Five global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 5 (CMIP5) were integrated using Bayesian Model averaging method (BMA) to predict the impacts of climate change on the spring phenology of rubber tree in 2020-2099 (relative to 1986-2017) under climate scenarios of RCP2.6, RCP4.5 and RCP8.5, respectively. The results showed that the RubberSP model had good simulation accuracy, with the determination coefficient (R为研究未来气候变化对海南岛橡胶树春季物候期(第一蓬叶展叶期和春花期)的影响,以国内外关于橡胶树物候期量化研究和橡胶树观测试验数据为基础,结合作物生长钟模型,建立橡胶树春季物候期模型,开发成计算机软件RubberSP并进行适宜性评价。在此基础上,通过贝叶斯模型平均法(BMA)结合耦合模式比较计划第五阶段(CMIP5)多模式数据集中的5个大气环流模式(GCMs),分别在RCP2.6、RCP4.5和RCP8.5气候情景下,以1986—2017年为基准时段,预估2020—2099年气候变化对橡胶树春季物候期的可能影响。结果表明:RubberSP的模拟精度较高,模拟值与实测值的决定系数 |
