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Title: A Phenological Legacy: Leafing and flowering data for lilacs and honeysuckles 1956-2014

Journal Article · · Scientific Data
 [1];  [1];  [2];  [1];  [3];  [4];  [4];  [5]
  1. USA National Phenology Network (USA-NPN), Tuscon, AZ (United States); Univ. of Arizona, Tuscon, AZ (United States)
  2. USA National Phenology Network (USA-NPN), Tuscon, AZ (United States); US Geological Survey, Tuscon, AZ (United States)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  4. Univ. of Twente, Enschede (Netherlands). Dept. of Geo-Information Processing
  5. Univ. of Wisconsin, Milwaukee, WI (United States). Dept. of Geography

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 observational 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, outlier analyses identified fewer than 3% of records as unusually early or late. Lilac and honeysuckle phenology data have proven robust in both model development and climatic research.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1207048
Journal Information:
Scientific Data, Vol. 2; ISSN 2052-4463
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 24 works
Citation information provided by
Web of Science

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Cited By (10)

Developing a Workflow to Identify Inconsistencies in Volunteered Geographic Information: A Phenological Case Study journal October 2015
Influence of source and scale of gridded temperature data on modelled spring onset patterns in the conterminous United States journal September 2018
Identifying anomalously early spring onsets in the CESM large ensemble project journal August 2016
Assessing data quality in citizen science journal December 2016
Exploring differences in spatial patterns and temporal trends of phenological models at continental scale using gridded temperature time-series journal November 2019
The BernClim plant phenological data set from the canton of Bern (Switzerland) 1970–2018 journal January 2019
Identifying Environmental and Human Factors Associated With Tick Bites using Volunteered Reports and Frequent Pattern Mining journal May 2016
Data from: Lilac and honeysuckle phenology data 1956-2014 dataset July 2015
The BernClim plant phenological data set from the Canton of Bern (Switzerland) 1970–2018 text January 2019
Mapping tick dynamics and tick bite risk using data-driven approached and volunteered observations dissertation September 2019


Figures / Tables (5)