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Warmest extreme year in U.S. history alters thermal requirements for tree phenology

Overview of attention for article published in Oecologia, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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2 blogs
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7 X users
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1 Facebook page

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52 Mendeley
Title
Warmest extreme year in U.S. history alters thermal requirements for tree phenology
Published in
Oecologia, February 2017
DOI 10.1007/s00442-017-3838-z
Pubmed ID
Authors

Jacob M. Carter, Maria E. Orive, Laci M. Gerhart, Jennifer H. Stern, Renée M. Marchin, Joane Nagel, Joy K. Ward

Abstract

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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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 10 19%
Student > Master 8 15%
Student > Doctoral Student 7 13%
Student > Bachelor 2 4%
Other 5 10%
Unknown 7 13%
Readers by discipline Count As %
Environmental Science 14 27%
Agricultural and Biological Sciences 14 27%
Engineering 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Medicine and Dentistry 2 4%
Other 7 13%
Unknown 11 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 September 2022.
All research outputs
#2,124,224
of 25,088,711 outputs
Outputs from Oecologia
#291
of 4,437 outputs
Outputs of similar age
#39,711
of 316,659 outputs
Outputs of similar age from Oecologia
#6
of 47 outputs
Altmetric has tracked 25,088,711 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,437 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,659 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.