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Plant phenological responses to experimental warming-A synthesis
Katharine L Stuble1, Leland D Bennion2,3, Sara E Kuebbing2
1Holden Arboretum, Kirtland, OH, USA.
Global Change Biology
|May 16, 2021
Summary
Plants are advancing early-season phenology like flowering due to climate warming, but delaying late-season events. Experimental warming impacts nonnative annual plants more than native perennials.
Area of Science:
- Ecology
- Plant Science
- Climate Change Biology
Background:
- Plant phenology, the timing of seasonal life cycle events, is sensitive to climate.
- Observed phenological shifts vary, complicating predictions of ecological consequences like mismatches.
- Experimental warming studies offer controlled insights into climate change impacts on plant phenology.
Purpose of the Study:
- To synthesize findings from experimental warming studies on plant phenology.
- To identify broad trends and inconsistencies in plant phenological responses to warming.
- To highlight knowledge gaps in experimental warming research.
Main Methods:
- Meta-analysis of 70 studies with 1226 observations of plant phenology under experimental warming.
- Categorization of phenological shifts by season (early vs. late) and plant type (native/nonnative, annual/perennial).
- Assessment of consistency across latitudes, elevations, habitats, and warming methods.
Main Results:
- Plants generally advance early-season phenophases (bud break, leaf-out, flowering) and delay late-season phenophases (leaf coloration, fall, senescence) under warming.
- Phenological shifts were consistent across various environmental contexts and warming methods.
- Warming effects were twice as large for nonnative annual plants compared to native perennial plants.
Conclusions:
- Experimental warming advances early plant phenology and delays late phenology, with significant impacts on nonnative annuals.
- Research gaps exist, particularly in non-temperate regions, for late-season phenophases, and for specific plant groups (woody, grasses, annuals, nonnatives).
- Future research should expand geographic scope and include diverse phenophases and plant types to improve predictive models.
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