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

Abstract

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.

Authors:
 [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
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1207048
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Scientific Data
Additional Journal Information:
Journal Volume: 2; Journal ID: ISSN 2052-4463
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Rosemartin, Alyssa, Denny, Ellen G., Weltzin, Jake F., Marsh, Lee, Wilson, Bruce E, Mehdipoor, Hamed, Zurita-Milla, Raul, and Schwartz, Mark D. A Phenological Legacy: Leafing and flowering data for lilacs and honeysuckles 1956-2014. United States: N. p., 2015. Web. doi:10.1038/sdata.2015.38.
Rosemartin, Alyssa, Denny, Ellen G., Weltzin, Jake F., Marsh, Lee, Wilson, Bruce E, Mehdipoor, Hamed, Zurita-Milla, Raul, & Schwartz, Mark D. A Phenological Legacy: Leafing and flowering data for lilacs and honeysuckles 1956-2014. United States. https://doi.org/10.1038/sdata.2015.38
Rosemartin, Alyssa, Denny, Ellen G., Weltzin, Jake F., Marsh, Lee, Wilson, Bruce E, Mehdipoor, Hamed, Zurita-Milla, Raul, and Schwartz, Mark D. 2015. "A Phenological Legacy: Leafing and flowering data for lilacs and honeysuckles 1956-2014". United States. https://doi.org/10.1038/sdata.2015.38. https://www.osti.gov/servlets/purl/1207048.
@article{osti_1207048,
title = {A Phenological Legacy: Leafing and flowering data for lilacs and honeysuckles 1956-2014},
author = {Rosemartin, Alyssa and Denny, Ellen G. and Weltzin, Jake F. and Marsh, Lee and Wilson, Bruce E and Mehdipoor, Hamed and Zurita-Milla, Raul and Schwartz, Mark D},
abstractNote = {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.},
doi = {10.1038/sdata.2015.38},
url = {https://www.osti.gov/biblio/1207048}, journal = {Scientific Data},
issn = {2052-4463},
number = ,
volume = 2,
place = {United States},
year = {Tue Jul 21 00:00:00 EDT 2015},
month = {Tue Jul 21 00:00:00 EDT 2015}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 24 works
Citation information provided by
Web of Science

Figures / Tables:

Table 1 Table 1: Western, Eastern and Nature’s Notebook phenophase definitions for the five phenological events or phenophases. Rows contain equivalent phenophase definitions for each program. Phenophase identifiers (‘Phenophase_ID’ field in the data file) are in parentheses. Where definitions have slight variations in meaning they are given different identifiers, however, equivalent definitionsmore » are unified by the ‘Phenophase_Group’ field in the data file. Nature’s Notebook data submitted through the online interface has a null Dataset ID, while data submitted via mobile app has a Dataset ID of 3.« less

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Works referenced in this record:

Predicting phenology by integrating ecology, evolution and climate science
journal, September 2011


Organizing phenological data resources to inform natural resource conservation
journal, May 2014


A Matlab© toolbox for calculating spring indices from daily meteorological data
journal, October 2015


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Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications
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Data from: Lilac and honeysuckle phenology data 1956-2014
dataset, July 2015


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journal, August 2012


Phenological overlap of interacting species in a changing climate: an assessment of available approaches
journal, July 2013


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Data from: Lilac and honeysuckle phenology data 1956-2014
dataset, July 2015


Phenological overlap of interacting species in a changing climate: an assessment of available approaches
journal, July 2013


Testing a growth efficiency hypothesis with continental-scale phenological variations of common and cloned plants
journal, June 2013


Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications
journal, January 2014


Works referencing / citing this record:

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


Data from: Lilac and honeysuckle phenology data 1956-2014
dataset, July 2015


Identifying anomalously early spring onsets in the CESM large ensemble project
journal, August 2016


Developing a Workflow to Identify Inconsistencies in Volunteered Geographic Information: A Phenological Case Study
journal, October 2015


Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.