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首页> 外文期刊>International Journal of Biometeorology >The role of temperature in the onset of the Olea europaea L. pollen season in southwestern Spain
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The role of temperature in the onset of the Olea europaea L. pollen season in southwestern Spain

机译:温度在西班牙西南部油橄榄花粉季节开始中的作用

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摘要

Temperature is one of the main factors affecting the flowering of Mediterranean trees. In the case of Olea europaea L., a low-temperature period prior to bud development is essential to interrupt dormancy. After that, and once a base temperature is reached, the plant accumulates heat until flowering starts. Different methods of obtaining the best-forecast model for the onset date of the O. europaea pollen season, using temperature as the predictive parameter, are proposed in this paper. An 18-year pollen and climatic data series (1982–1999) from Cordoba (Spain) was used to perform the study. First a multiple-regression analysis using 15-day average temperatures from the period prior to flowering time was tested. Second, three heat-summation methods were used, determining the the quantities heat units (HU): accumulated daily mean temperature after deducting a threshold, growing degree-days (GDD): proposed by Snyder [J Agric Meteorol 35:353–358 (1985)] as a measure of physiological time, and accumulated maximum temperature. In the first two, the optimum base temperature selected for heat accumulation was 12.5°C. The multiple-regression equation for 1999 gives a 7-day delay from the observed date. The most accurate results were obtained with the GDD method, with a difference of only 4.7 days between predicted and observed dates. The average heat accumulation expressed as GDD was 209.9°C days. The HU method also gives good results, with no significant statistical differences between predictions and observations.
机译:温度是影响地中海树木开花的主要因素之一。对于油橄榄,在芽发育之前的低温时期对于中断休眠至关重要。此后,一旦达到基本温度,植物就会蓄热直到开花开始。提出了以温度为预测参数的欧罗巴花粉发病季节最佳预测模型的不同获得方法。来自科尔多瓦(西班牙)的18年花粉和气候数据系列(1982-1999)用于进行研究。首先,使用从开花时间开始的15天平均温度进行多元回归分析。其次,使用三种热量求和方法,确定热量单位(HU)的数量:减去阈值后的累积日平均温度,生长天数(GDD):由Snyder提出[J Agric Meteorol 35:353–358( (1985)]作为生理时间的​​量度,并累积最高温度。在前两个中,为蓄热选择的最佳基准温度为12.5°C。 1999年的多元回归方程式从观察到的日期开始延迟了7天。使用GDD方法可获得最准确的结果,预计日期与观察日期之间的差只有4.7天。以GDD表示的平均热量累积为209.9°C天。 HU方法也提供了良好的结果,预测和观察值之间没有显着的统计差异。

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