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Predicting Climate Change Impacts on the Amount and Duration of Autumn Colors in a New England Forest

Overview of attention for article published in PLOS ONE, March 2013
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Title
Predicting Climate Change Impacts on the Amount and Duration of Autumn Colors in a New England Forest
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0057373
Pubmed ID
Authors

Marco Archetti, Andrew D. Richardson, John O'Keefe, Nicolas Delpierre

Abstract

Climate change affects the phenology of many species. As temperature and precipitation are thought to control autumn color change in temperate deciduous trees, it is possible that climate change might also affect the phenology of autumn colors. Using long-term data for eight tree species in a New England hardwood forest, we show that the timing and cumulative amount of autumn color are correlated with variation in temperature and precipitation at specific times of the year. A phenological model driven by accumulated cold degree-days and photoperiod reproduces most of the interspecific and interannual variability in the timing of autumn colors. We use this process-oriented model to predict changes in the phenology of autumn colors to 2099, showing that, while responses vary among species, climate change under standard IPCC projections will lead to an overall increase in the amount of autumn colors for most species.

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The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Mexico 1 <1%
Serbia 1 <1%
China 1 <1%
Unknown 151 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 22%
Student > Ph. D. Student 33 21%
Student > Master 21 13%
Student > Bachelor 16 10%
Professor > Associate Professor 9 6%
Other 17 11%
Unknown 26 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 26%
Environmental Science 39 25%
Earth and Planetary Sciences 24 15%
Social Sciences 3 2%
Business, Management and Accounting 3 2%
Other 9 6%
Unknown 38 24%