Lange Maximilian, Schaber Jörg, Marx Andreas, Jäckel Greta, Badeck Franz-Werner, Seppelt Ralf, Doktor Daniel
Department Computational Landscape Ecology, UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Institute for Experimental Internal Medicine, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Int J Biometeorol. 2016 Nov;60(11):1711-1726. doi: 10.1007/s00484-016-1161-8. Epub 2016 Apr 8.
This study investigates whether the assumed increase of winter and spring temperatures is depicted by phenological models in correspondingly earlier bud burst (BB) dates. Some studies assume that rising temperatures lead to an earlier BB, but even later BB has been detected. The phenological model PIM (promoter-inhibitor-model) fitted to the extensive phenological database of the German Weather Service was driven by several climate scenarios. This model accounts for the complicated mechanistic interactions between chilling requirements, temperature and photo-period. It predicts BB with a r between 0.41 and 0.62 and a RMSE of around 1 week, depending on species. Parameter sensitivities depict species dependent interactions between growth and chilling requirements as well as photo-period. A mean trend to earlier BB was revealed for the period 2002- 2100, varying between -0.05 and -0.11 days per year, depending on species. These trends are lower than for the period 1951- 2009. Within climate scenario period, trends are decreasing for beech and chestnut, stagnating for birch and increasing for oak. Results suggest that not fulfilled chilling requirements accompanied by an increasing dependency on photo-period potentially limit future BB advancement. The combination of a powerful phenological model, a large scale phenological database and several climate scenarios, offers new insights into the mechanistic comprehension of spring phenology.
本研究调查了物候模型是否能体现出冬季和春季气温的假定升高,即相应地使芽萌发(BB)日期提前。一些研究认为气温上升会导致芽萌发提前,但也有研究发现芽萌发甚至会推迟。利用德国气象局广泛的物候数据库,对物候模型PIM(促进剂-抑制剂模型)进行了几种气候情景驱动的模拟。该模型考虑了低温需求、温度和光周期之间复杂的机制相互作用。根据物种不同,它预测芽萌发的相关系数在0.41至0.62之间,均方根误差约为1周。参数敏感性描述了生长与低温需求以及光周期之间物种依赖的相互作用。2002年至2100年期间,芽萌发呈现出提前的平均趋势,每年提前幅度在-0.05至-0.11天之间,因物种而异。这些趋势低于1951年至2009年期间。在气候情景期内,山毛榉和栗树的趋势在下降,桦树的趋势停滞,橡树的趋势上升。结果表明,未满足的低温需求以及对光周期的依赖性增加可能会限制未来芽萌发的提前。强大的物候模型、大规模的物候数据库和几种气候情景的结合,为春季物候的机制理解提供了新的见解。