4.5 Article

Warmest extreme year in US history alters thermal requirements for tree phenology

Journal

OECOLOGIA
Volume 183, Issue 4, Pages 1197-1210

Publisher

SPRINGER
DOI: 10.1007/s00442-017-3838-z

Keywords

Bud break; Climate change; Extreme years; Fraxinus; Global change; Leaf emergence; Phenology; Thermal models; White ash

Categories

Funding

  1. NSF CAREER
  2. IOS
  3. NSF C-CHANGE IGERT
  4. University of Kansas GRF
  5. Department of Ecology and Evolutionary Biology
  6. University of Kansas Research Investment Council

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The frequency of extreme warm years is increasing across the majority of the planet. Shifts in plant phenology in response to extreme years can influence plant survival, productivity, and synchrony with pollinators/herbivores. Despite extensive work on plant phenological responses to climate change, little is known about responses to extreme warm years, particularly at the intraspecific level. Here we investigate 43 populations of white ash trees (Fraxinus americana) from throughout the species range that were all grown in a common garden. We compared the timing of leaf emergence during the warmest year in U.S. history (2012) with relatively non-extreme years. We show that (a) leaf emergence among white ash populations was accelerated by 21 days on average during the extreme warm year of 2012 relative to non-extreme years; (b) rank order for the timing of leaf emergence was maintained among populations across extreme and non-extreme years, with southern populations emerging earlier than northern populations; (c) greater amounts of warming units accumulated prior to leaf emergence during the extreme warm year relative to non-extreme years, and this constrained the potential for even earlier leaf emergence by an average of 9 days among populations; and (d) the extreme warm year reduced the reliability of a relevant phenological model for white ash by producing a consistent bias toward earlier predicted leaf emergence relative to observations. These results demonstrate a critical need to better understand how extreme warm years will impact tree phenology, particularly at the intraspecific level.

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