Geocomputational Workflows for Analysing Spring Plant Phenology in Space and Time

Dataset

Description

The dataset is comprised of leafing and flowering data collected across the continental United States from 1956 to 2014 for purple common lilac ( Syringa vulgaris), a cloned lilac cultivar (S. x chinensis ‘Red Rothomagensis’) and two cloned honeysuckle cultivars ( Lonicera tartarica ‘Arnold Red’ and L. korolkowii ‘Zabeli’). Applications of this rich legacy dataset range from detecting regional weather patterns to understanding the impacts of global climate change on the onset of spring at the national scale. While minor changes in methods have occurred over time, and some documentation is lacking, the dataset has proven robust in combination with climatic data for detecting spatio-temporal changes in the onset of spring.
Date made available10 Nov 2019
PublisherDANS easy
Temporal coverage1956 - 2014
Date of data production5 Jul 2015

Cite this

Mehdipoor, H. (Creator) (10 Nov 2019). Geocomputational Workflows for Analysing Spring Plant Phenology in Space and Time. DANS easy. 10.17026/dans-zdr-kbjb