Literature DB >> 26183112

Plant phenological responses to a long-term experimental extension of growing season and soil warming in the tussock tundra of Alaska.

Roxaneh Khorsand Rosa1, Steven F Oberbauer1, Gregory Starr1,2, Inga Parker La Puma1,3, Eric Pop1,4, Lorraine Ahlquist1,5, Tracey Baldwin1,6.   

Abstract

Climate warming is strongly altering the timing of season initiation and season length in the Arctic. Phenological activities are among the most sensitive plant responses to climate change and have important effects at all levels within the ecosystem. We tested the effects of two experimental treatments, extended growing season via snow removal and extended growing season combined with soil warming, on plant phenology in tussock tundra in Alaska from 1995 through 2003. We specifically monitored the responses of eight species, representing four growth forms: (i) graminoids (Carex bigellowii and Eriophorum vaginatum); (ii) evergreen shrubs (Ledum palustre, Cassiope tetragona, and Vaccinium vitis-idaea); (iii) deciduous shrubs (Betula nana and Salix pulchra); and (iv) forbs (Polygonum bistorta). Our study answered three questions: (i) Do experimental treatments affect the timing of leaf bud break, flowering, and leaf senescence? (ii) Are responses to treatments species-specific and growth form-specific? and (iii) Which environmental factors best predict timing of phenophases? Treatment significantly affected the timing of all three phenophases, although the two experimental treatments did not differ from each other. While phenological events began earlier in the experimental plots relative to the controls, duration of phenophases did not increase. The evergreen shrub, Cassiope tetragona, did not respond to either experimental treatment. While the other species did respond to experimental treatments, the total active period for these species did not increase relative to the control. Air temperature was consistently the best predictor of phenology. Our results imply that some evergreen shrubs (i.e., C. tetragona) will not capitalize on earlier favorable growing conditions, putting them at a competitive disadvantage relative to phenotypically plastic deciduous shrubs. Our findings also suggest that an early onset of the growing season as a result of decreased snow cover will not necessarily result in greater tundra productivity.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  Alaska; arctic; climate change; growth form; phenology; season length; snow removal; soil warming; tundra

Mesh:

Substances:

Year:  2015        PMID: 26183112     DOI: 10.1111/gcb.13040

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  6 in total

1.  Ecotypic differences in the phenology of the tundra species Eriophorum vaginatum reflect sites of origin.

Authors:  Thomas C Parker; Jianwu Tang; Mahalia B Clark; Michael M Moody; Ned Fetcher
Journal:  Ecol Evol       Date:  2017-10-19       Impact factor: 2.912

2.  Prediction of Arctic plant phenological sensitivity to climate change from historical records.

Authors:  Zoe A Panchen; Root Gorelick
Journal:  Ecol Evol       Date:  2017-02-01       Impact factor: 2.912

3.  Fast Responses of Root Dynamics to Increased Snow Deposition and Summer Air Temperature in an Arctic Wetland.

Authors:  Ludovica D'Imperio; Marie F Arndal; Cecilie S Nielsen; Bo Elberling; Inger K Schmidt
Journal:  Front Plant Sci       Date:  2018-08-30       Impact factor: 6.627

4.  Limited effects of early snowmelt on plants, decomposers, and soil nutrients in Arctic tundra soils.

Authors:  Anthony Darrouzet-Nardi; Heidi Steltzer; Patrick F Sullivan; Aliza Segal; Amanda M Koltz; Carolyn Livensperger; Joshua P Schimel; Michael N Weintraub
Journal:  Ecol Evol       Date:  2019-01-24       Impact factor: 2.912

5.  Earlier snowmelt may lead to late season declines in plant productivity and carbon sequestration in Arctic tundra ecosystems.

Authors:  Donatella Zona; Peter M Lafleur; Koen Hufkens; Barbara Bailey; Beniamino Gioli; George Burba; Jordan P Goodrich; Anna K Liljedahl; Eugénie S Euskirchen; Jennifer D Watts; Mary Farina; John S Kimball; Martin Heimann; Mathias Göckede; Martijn Pallandt; Torben R Christensen; Mikhail Mastepanov; Efrén López-Blanco; Marcin Jackowicz-Korczynski; Albertus J Dolman; Luca Belelli Marchesini; Roisin Commane; Steven C Wofsy; Charles E Miller; David A Lipson; Josh Hashemi; Kyle A Arndt; Lars Kutzbach; David Holl; Julia Boike; Christian Wille; Torsten Sachs; Aram Kalhori; Xia Song; Xiaofeng Xu; Elyn R Humphreys; Charles D Koven; Oliver Sonnentag; Gesa Meyer; Gabriel H Gosselin; Philip Marsh; Walter C Oechel
Journal:  Sci Rep       Date:  2022-03-21       Impact factor: 4.379

6.  Investigating the Control of Chlorophyll Degradation by Genomic Correlation Mining.

Authors:  Frederick P Ghandchi; Gustavo Caetano-Anolles; Steven J Clough; Donald R Ort
Journal:  PLoS One       Date:  2016-09-12       Impact factor: 3.240

  6 in total

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