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Published on: May 8, 2015
The interaction between freezing tolerance and phenology in temperate deciduous trees
Yann Vitasse1, Armando Lenz1, Christian Körner1
1Institute of Botany, University of Basel Basel, Switzerland.
Temperate trees adapt to cold through seasonal acclimation and dormancy. Their freezing resistance is crucial for survival, but climate warming may alter risks, especially during spring leaf emergence.
Area of Science:
- Plant physiology
- Ecology
- Climate change biology
Background:
- Temperate climates feature significant temperature seasonality and unpredictable weather.
- Trees in these regions must endure cold winters and unpredictable freezing events year-round.
- Survival strategies include cold acclimation, dormancy, and maintaining freezing tolerance during dehardening.
Purpose of the Study:
- To review the interplay between leaf phenology and species-specific freezing resistance in temperate trees.
- To examine evolutionary adaptations and short-term acclimation mechanisms.
- To assess the impact of climate warming on freeze injury risk.
Main Methods:
- Literature review focusing on plant physiology and phenology.
- Analysis of evolutionary responses to low temperatures.
- Examination of short-term acclimation and re-acclimation in buds.
- Assessment of species-specific phenological responses to environmental cues.
Main Results:
- Temperate trees possess long-term evolutionary adaptations for cold tolerance.
- Short-term acclimation of freezing resistance is vital in dormant and active buds, with re-acclimation possible after warm spells.
- This acclimation ability significantly decreases during leaf emergence.
- Freeze injury risk for native temperate trees is generally low and concentrated in spring.
Conclusions:
- The ability of temperate trees to acclimate to freezing temperatures is dynamic and stage-dependent.
- Climate warming may increase freeze injury risk, particularly if phenological responses to warming cues are species-specific.
- Understanding these adaptations is critical for predicting forest resilience under changing climate conditions.
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