The Plant Phenology Ontology: A New Informatics Resource for Large-Scale Integration of Plant Phenology Data
Affiliation
Univ Arizona, USA Natl Phenol NetworkUniv Arizona, CyVerse
Issue Date
2018-05Keywords
plant phenologyUSA National Phenology Network
Pan-European Phenology Network
ontology
data integration
knowledge representation
semantic data
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FRONTIERS MEDIA SACitation
Stucky BJ, Guralnick R, Deck J, Denny EG, Bolmgren K and Walls R (2018) The Plant Phenology Ontology: A New Informatics Resource for Large-Scale Integration of Plant Phenology Data. Front. Plant Sci. 9:517. doi: 10.3389/fpls.2018.00517Journal
FRONTIERS IN PLANT SCIENCERights
© 2018 Stucky, Guralnick, Deck, Denny, Bolmgren and Walls. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Plant phenology - the timing of plant life-cycle events, such as flowering or leafing out - plays a fundamental role in the functioning of terrestrial ecosystems, including human agricultural systems. Because plant phenology is often linked with climatic variables, there is widespread interest in developing a deeper understanding of global plant phenology patterns and trends. Although phenology data from around the world are currently available, truly global analyses of plant phenology have so far been difficult because the organizations producing large-scale phenology data are using non-standardized terminologies and metrics during data collection and data processing. To address this problem, we have developed the Plant Phenology Ontology (PPO). The PPO provides the standardized vocabulary and semantic framework that is needed for large-scale integration of heterogeneous plant phenology data. Here, we describe the PPO, and we also report preliminary results of using the PPO and a new data processing pipeline to build a large dataset of phenology information from North America and Europe.Note
Open access journal.ISSN
1664-462XVersion
Final published versionSponsors
U.S. Geological Survey [G16AC00268]; U.S. National Science Foundation (NSF) [NSF-SAVI 1321595]; NSF [DBI-0735191, DBI-1265383]Additional Links
https://www.frontiersin.org/articles/10.3389/fpls.2018.00517/fullScopus Count
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