Data from: Spring predictability explains different leaf-out strategies in the woody floras of North America, Europe and East Asia

Zohner CM, Benito BM, Fridley JD, Svenning J, Renner SS

Date Published: February 22, 2017

DOI: http://dx.doi.org/10.5061/dryad.hr364

 

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Title Interannual spring temperature variability
Downloaded 12 times
Description The standard deviation (SD) of mean minimum temperatures of the March–May period over the past 100 years (1901–2013). Spatial resolution: 5-arc minutes.
Download tmin_spring_sd.asc (1.603 Mb)
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Title Interannual winter temperature variability
Downloaded 13 times
Description The SD of the mean minimum temperature of the coldest month over the past 100 years (1901–2013). Spatial resolution: 5-arc minutes.
Download tmin_yearly_sd.asc (2.305 Mb)
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When using this data, please cite the original publication:

Zohner CM, Benito BM, Fridley JD, Svenning J, Renner SS (2017) Spring predictability explains different leaf-out strategies in the woody floras of North America, Europe and East Asia. Ecology Letters 20(4): 452-460. http://dx.doi.org/10.1111/ele.12746

Additionally, please cite the Dryad data package:

Zohner CM, Benito BM, Fridley JD, Svenning J, Renner SS (2017) Data from: Spring predictability explains different leaf-out strategies in the woody floras of North America, Europe and East Asia. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.hr364
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