Lilac and honeysuckle phenology data 1956-2014
Alyssa H Rosemartin1, Ellen G Denny1, Jake F Weltzin2
1USA National Phenology Network, National Coordinating Office , Tucson, AZ 85721, USA ; School of Natural Resources and the Environment, University of Arizona , Tucson, AZ, USA.
Scientific Data
|August 26, 2015
Summary
This study analyzed lilac and honeysuckle plant phenology data from 1956-2014 across the U.S. The robust dataset aids in understanding climate change impacts on spring onset and regional weather patterns.
Area of Science:
- Plant phenology
- Climate science
- Ecological monitoring
Background:
- Phenological data provides insights into plant life cycle events.
- Long-term observational data is crucial for climate change research.
- Lilac and honeysuckle are key indicator species for spring onset.
Purpose of the Study:
- To present a comprehensive dataset of lilac and honeysuckle phenology.
- To facilitate research on climate change impacts on plant life cycles.
- To support the detection of regional weather patterns.
Main Methods:
- Data collection spanned 1956-2014 across the continental U.S.
- Involved observations of leafing and flowering for specific lilac and honeysuckle cultivars.
- Outlier analysis was performed to ensure data integrity, identifying <3% of records as anomalous.
Main Results:
- A robust, long-term dataset of plant phenology was compiled.
- The data demonstrates the potential for detecting climate-driven shifts in spring onset.
- Identified minor methodological changes and data gaps over the study period.
Conclusions:
- The compiled lilac and honeysuckle phenology dataset is a valuable resource.
- The data is suitable for climate change impact studies and regional weather analysis.
- Phenological data from these species are robust for ecological and climatic research.
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