Temporal coherence of phenological and climatic rhythmicity in Beijing

• Published in: International journal of biometeorology 2017-10, Vol.61 (10), p.1733-1748
• Main Authors: Chen, Xiaoqiu, Zhang, Weiqi, Ren, Shilong, Lang, Weiguang, Liang, Boyi, Liu, Guohua
• Format: Article
• Language: English
• Subjects: Animal Physiology; Beijing; Biological and Medical Physics; Biophysics; Botanical gardens; Climate; Climate change; Climate models; Coherence; Correlation; Earth and Environmental Science; Environment; Environmental Health; Magnoliopsida - growth & development; Mean temperatures; Meteorology; Original Paper; Periodicity; Phenological data; Phenology; Plant phenology; Plant Physiology; Rhythm; Seasonal variations; Seasons; Spring; Temperature; Temperature control; Temperature effects; Woody plants
• ISSN: 0020-7128; 1432-1254
• DOI: 10.1007/s00484-017-1355-8

Using woody plant phenological data in the Beijing Botanical Garden from 1979 to 2013, we revealed three levels of phenology rhythms and examined their coherence with temperature rhythms. First, the sequential and correlative rhythm shows that occurrence dates of various phenological events obey a certain time sequence within a year and synchronously advance or postpone among years. The positive correlation between spring phenophase dates is much stronger than that between autumn phenophase dates and attenuates as the time interval between two spring phenophases increases. This phenological rhythm can be explained by positive correlation between above 0 °C mean temperatures corresponding to different phenophase dates. Second, the circannual rhythm indicates that recurrence interval of a phenophase in the same species in two adjacent years is about 365 days, which can be explained by the 365-day recurrence interval in the first and last dates of threshold temperatures. Moreover, an earlier phenophase date in the current year may lead to a later phenophase date in the next year through extending recurrence interval. Thus, the plant phenology sequential and correlative rhythm and circannual rhythm are interacted, which mirrors the interaction between seasonal variation and annual periodicity of temperature. Finally, the multi-year rhythm implies that phenophase dates display quasi-periodicity more than 1 year. The same 12-year periodicity in phenophase and threshold temperature dates confirmed temperature controls of the phenology multi-year rhythm. Our findings provide new perspectives for examining phenological response to climate change and developing comprehensive phenology models considering temporal coherence of phenological and climatic rhythmicity.