Literature DB >> 28466416

Temporal coherence of phenological and climatic rhythmicity in Beijing.

Xiaoqiu Chen1, Weiqi Zhang2, Shilong Ren2, Weiguang Lang2, Boyi Liang2, Guohua Liu2.   

Abstract

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.

Keywords:  Air temperature; Circannual rhythm; Multi-year rhythm; Plant phenology; Sequential and correlative rhythm; Temporal coherence

Mesh:

Year:  2017        PMID: 28466416     DOI: 10.1007/s00484-017-1355-8

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  7 in total

1.  An examination of the relationship between flowering times and temperature at the national scale using long-term phenological records from the UK.

Authors:  T H Sparks; E P Jeffree; C E Jeffree
Journal:  Int J Biometeorol       Date:  2000-08       Impact factor: 3.787

2.  Net carbon dioxide losses of northern ecosystems in response to autumn warming.

Authors:  Shilong Piao; Philippe Ciais; Pierre Friedlingstein; Philippe Peylin; Markus Reichstein; Sebastiaan Luyssaert; Hank Margolis; Jingyun Fang; Alan Barr; Anping Chen; Achim Grelle; David Y Hollinger; Tuomas Laurila; Anders Lindroth; Andrew D Richardson; Timo Vesala
Journal:  Nature       Date:  2008-01-03       Impact factor: 49.962

3.  Ecology. Phenology feedbacks on climate change.

Authors:  Josep Peñuelas; This Rutishauser; Iolanda Filella
Journal:  Science       Date:  2009-05-15       Impact factor: 47.728

4.  Phenological responses of Ulmus pumila (Siberian Elm) to climate change in the temperate zone of China.

Authors:  Xiaoqiu Chen; Lin Xu
Journal:  Int J Biometeorol       Date:  2011-07-30       Impact factor: 3.787

5.  Variation in leaf flushing date influences autumnal senescence and next year's flushing date in two temperate tree species.

Authors:  Yongshuo S H Fu; Matteo Campioli; Yann Vitasse; Hans J De Boeck; Joke Van den Berge; Hamada AbdElgawad; Han Asard; Shilong Piao; Gaby Deckmyn; Ivan A Janssens
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-05       Impact factor: 11.205

6.  Diverse responses of phenology to global changes in a grassland ecosystem.

Authors:  Elsa E Cleland; Nona R Chiariello; Scott R Loarie; Harold A Mooney; Christopher B Field
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-05       Impact factor: 11.205

7.  Low temperature, but not photoperiod, controls growth cessation and dormancy induction and release in apple and pear.

Authors:  O M Heide; A K Prestrud
Journal:  Tree Physiol       Date:  2005-01       Impact factor: 4.196

  7 in total

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