在地中海地区的橄种植园中建模现象阶段
Ali Didevarasl1,2, Jose M Costa Saura1,2,3, Donatella Spano1,2,3
1Department of Agricultural Sciences, University of Sassari, 07100 Sassari, SS, Italy.
Plants (Basel, Switzerland)
|September 28, 2023
概括
这项研究比较了用于预测地中海橄树现象学的两个模型. 结合寒冷/反寒冷和生长度日 (CAC_GDD) 模型在预测主要橄生长阶段方面表现更好.
科学领域:
- 农业科学 农业科学
- 植物生理学 植物生理学
- 气候建模气候模型
背景情况:
- 地中海的现象学建模面临着挑战,原因是异质的区域和有限的观测.
- 橄树的现象学对于了解气候变化对农业的影响至关重要.
研究的目的:
- 为了比较两个现象学模型的性能,PhenoFlex和一个结合的寒冷/反寒冷和增长度日 (CAC_GDD) 模型.
- 为地中海的早期和中期晚期橄品种设计现象学阶段 (发芽,开花,硬化).
- 评估模型适应热变化和区域气候趋势的适应性.
主要方法:
- 利用了来自意大利9个实验场所的现象学观测.
- 来自欧洲中期天气预报中心 (ECMWF) 的使用温度时间序列数据 Reanalysis v5.5.
- 在准确性和参数化方面比较了PhenoFlex (数据要求高) 和CAC_GDD (节) 模型.
主要成果:
- CAC_GDD模型在中后期品种的开花和发芽阶段 (RMSE:4天) 显示出卓越的性能.
- CAC_GDD模型显示,它更适合用于预测坑固化和开花日期 (相关性:0.80,0.70).
- 中晚橄品种表现出更强的适应热变化的能力,并观察到近同步的开花日期.
结论:
- CAC_GDD模型为地中海橄树现象学预测提供了一种更加节和有效的方法.
- 现象学建模对于调整农业实践以适应气候变化至关重要.
- 了解特定品种对气候的反应是可持续橄生产的关键.
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