首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >Why don't phenophase dates in the current year affect the same phenophase dates in the following year?
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Why don't phenophase dates in the current year affect the same phenophase dates in the following year?

机译:为什么当前的菲菲基比日期不影响次年相同的苯相碱基?

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Examining whether a phenophase occurrence date in the current year affects the same phenophase occurrence date in the following year is crucial for developing cross-year phenological prediction models. Here, we carried out correlation analyses between leaf unfolding start (LUS)/leaf fall end (LFE) dates in the current and following years for four dominant tree species in temperate northern China from 1981 to 2012. Then, we calculated the recurrence intervals of LUS and LFE between two adjacent years for each species. Moreover, we investigated temperature effects on LUS/LFE dates, growing season and non-growing season lengths. Results show that correlation coefficients between LUS/LFE dates in the current and following years are nonsignificant at most stations. The recurrence interval of a phenophase has slight interannual variation and correlates significantly (and negatively) with the phenophase occurrence date of the current year. Further analyses indicate that LUS dates correlate significantly (and negatively) with spring mean temperatures, while LFE dates correlate significantly (and positively) with autumn mean temperatures, but negatively with growing season mean temperatures. In addition, spring mean temperatures can influence growing season length by controlling LUS date but cannot influence the following non-growing season length. Similarly, autumn mean temperatures and growing season mean temperatures can influence the subsequent non-growing season length but cannot influence the growing season length of the following year. Our study highlights that recurrence interval and time restrictions in the effects of seasonal temperatures on phenophase dates are the main environmental causes of nonsignificant correlations between phenophase occurrence dates in the current and following years.
机译:检查当前年度苯相酪磷酶的发生日期是否影响了第二年中相同的苯相酪磷酶发生日期对于开发跨年挥发性预测模型至关重要。在这里,我们在1981年至2012年回升到中国温带四个主要树种的叶片展开开始(LUS)/叶跌倒(LFE)日期之间的相关分析。然后,我们计算了重复间隔每种物种的两个相邻岁月之间的LU和LFE。此外,我们研究了对LUS / LFE日期的温度效应,生长季节和非生长季节长度。结果表明,在大多数站点上,LUS / LFE日期之间的相关系数是不显着的。苯磷酶的复发间隔具有轻微的依y变异,并且随着本年年度的苯异磷酶发生日期而显着(和负面)。进一步的分析表明,LUS日期具有显着性(和负面),春季平均温度,而LFE日期随着秋季的平均温度,但增强季节性的平均温度显着相关(和正面)。此外,春季平均温度可以通过控制LUS日期来影响季节长度,但不能影响以下非生长季节长度。同样,秋季平均温度和生长季节意味着温度会影响随后的非生长季节,但不能影响持续持续的季节长度。我们的研究突出显示季节性温度对苯磷酶日期的效果的复发间隔和时间限制是当前和续时间的苯相碱基发生日期之间无显着相关性的主要环境原因。

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