Literature DB >> 23504722

A plant's perspective of extremes: terrestrial plant responses to changing climatic variability.

Christopher P O Reyer1, Sebastian Leuzinger, Anja Rammig, Annett Wolf, Ruud P Bartholomeus, Antonello Bonfante, Francesca de Lorenzi, Marie Dury, Philipp Gloning, Renée Abou Jaoudé, Tamir Klein, Thomas M Kuster, Monica Martins, Georg Niedrist, Maria Riccardi, Georg Wohlfahrt, Paolo de Angelis, Giovanbattista de Dato, Louis François, Annette Menzel, Marízia Pereira.   

Abstract

We review observational, experimental, and model results on how plants respond to extreme climatic conditions induced by changing climatic variability. Distinguishing between impacts of changing mean climatic conditions and changing climatic variability on terrestrial ecosystems is generally underrated in current studies. The goals of our review are thus (1) to identify plant processes that are vulnerable to changes in the variability of climatic variables rather than to changes in their mean, and (2) to depict/evaluate available study designs to quantify responses of plants to changing climatic variability. We find that phenology is largely affected by changing mean climate but also that impacts of climatic variability are much less studied, although potentially damaging. We note that plant water relations seem to be very vulnerable to extremes driven by changes in temperature and precipitation and that heat-waves and flooding have stronger impacts on physiological processes than changing mean climate. Moreover, interacting phenological and physiological processes are likely to further complicate plant responses to changing climatic variability. Phenological and physiological processes and their interactions culminate in even more sophisticated responses to changing mean climate and climatic variability at the species and community level. Generally, observational studies are well suited to study plant responses to changing mean climate, but less suitable to gain a mechanistic understanding of plant responses to climatic variability. Experiments seem best suited to simulate extreme events. In models, temporal resolution and model structure are crucial to capture plant responses to changing climatic variability. We highlight that a combination of experimental, observational, and/or modeling studies have the potential to overcome important caveats of the respective individual approaches.
© 2012 Blackwell Publishing Ltd.

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Year:  2012        PMID: 23504722      PMCID: PMC3857548          DOI: 10.1111/gcb.12023

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


  52 in total

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2.  A globally coherent fingerprint of climate change impacts across natural systems.

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4.  Whole-system responses of experimental plant communities to climate extremes imposed in different seasons.

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5.  Demographic compensation and tipping points in climate-induced range shifts.

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7.  Land-atmosphere coupling and climate change in Europe.

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  55 in total

1.  Pulse-drought atop press-drought: unexpected plant responses and implications for dryland ecosystems.

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Authors:  Francisco Lloret; Enrique G de la Riva; Ignacio M Pérez-Ramos; Teodoro Marañón; Sandra Saura-Mas; Ricardo Díaz-Delgado; Rafael Villar
Journal:  Oecologia       Date:  2016-01-22       Impact factor: 3.225

3.  Spatiotemporal analysis of ground-based woody plant leafing in response to temperature in temperate eastern China.

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4.  Asynchronous leaf and cambial phenology in a tree species of the Congo Basin requires space-time conversion of wood traits.

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5.  Climatic determinants impacting the distribution of greenness in China: regional differentiation and spatial variability.

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Journal:  Int J Biometeorol       Date:  2019-02-07       Impact factor: 3.787

Review 6.  Integrating plant ecological responses to climate extremes from individual to ecosystem levels.

Authors:  Andrew J Felton; Melinda D Smith
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-06-19       Impact factor: 6.237

7.  Moisture status during a strong El Niño explains a tropical montane cloud forest's upper limit.

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8.  A series of unfortunate events: characterizing the contingent nature of physiological extremes using long-term environmental records.

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Journal:  Proc Biol Sci       Date:  2020-01-15       Impact factor: 5.349

9.  Physiological effects of climate warming on flowering plants and insect pollinators and potential consequences for their interactions.

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10.  Differentiate responses of tetraploid and hexaploid wheat (Triticum aestivum L.) to moderate and severe drought stress: a cue of wheat domestication.

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Journal:  Plant Signal Behav       Date:  2020-10-30
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