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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]
+ Show Author Affiliations
  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:
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.
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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
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Rosemartin, Alyssa, Denny, Ellen G., Weltzin, Jake F., Marsh, Lee, Wilson, Bruce E, Mehdipoor, Hamed, Zurita-Milla, Raul, and Schwartz, Mark D. Tue . "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.
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@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},
journal = {Scientific Data},
number = ,
volume = 2,
place = {United States},
year = {Tue Jul 21 00:00:00 EDT 2015},
month = {Tue Jul 21 00:00:00 EDT 2015}
}
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Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1038/sdata.2015.38
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Cited by: 24 works
Citation information provided by
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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:

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Organizing phenological data resources to inform natural resource conservation
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Data from: Lilac and honeysuckle phenology data 1956-2014
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Data from: Lilac and honeysuckle phenology data 1956-2014
dataset, July 2015

  • ,
  • Dryad Digital Repository-Supplementary information for journal article at DOI: 10.1038/sdata.2015.38, 1 XLSX file (15.10 Mb)
  • DOI: 10.5061/dryad.0262m

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

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  • Ecology and Evolution, Vol. 3, Issue 9
  • DOI: 10.1002/ece3.668

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

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  • International Journal of Biometeorology, Vol. 58, Issue 4
  • DOI: 10.1007/s00484-014-0789-5
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    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
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    Identifying anomalously early spring onsets in the CESM large ensemble project
    journal, August 2016

    Assessing data quality in citizen science
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    • Frontiers in Ecology and the Environment, Vol. 14, Issue 10
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    Exploring differences in spatial patterns and temporal trends of phenological models at continental scale using gridded temperature time-series
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    • Mehdipoor, Hamed; Zurita-Milla, Raul; Augustijn, Ellen-Wien
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    Identifying Environmental and Human Factors Associated With Tick Bites using Volunteered Reports and Frequent Pattern Mining
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    Data from: Lilac and honeysuckle phenology data 1956-2014
    dataset, July 2015

    • ,
    • Dryad Digital Repository-Supplementary information for journal article at DOI: 10.1038/sdata.2015.38, 1 XLSX file (15.10 Mb)
    • DOI: 10.5061/dryad.0262m

    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

    • ,
    • Dryad Digital Repository-Supplementary information for journal article at DOI: 10.1038/sdata.2015.38, 1 XLSX file (15.10 Mb)
    • DOI: 10.5061/dryad.0262m

    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

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