ArticleFrontiers in plant science2018
The Plant Phenology Ontology: A New Informatics Resource for Large-Scale Integration of Plant Phenology Data.
Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep Learning in Plant Phenological Research: A Systematic Literature Review.Frontiers in plant science · 2022Pooled it
- Petal to the metal: The slow road to automating large-scale phenology labeling for herbarium specimens.Applications in plant sciences · 2026Article
- Bridging data silos to holistically model plant macrophenology.The New phytologist · 2026Review
- PEP725: 15 years of driving European and global phenology science.The New phytologist · 2026Review
- Definition of reproductive structures in Eucalyptus for phenological data collection.International journal of biometeorology · 2025Review
- Impact of a heterogeneous environment on the population expansion of the harmful plantFrontiers in plant science · 2024Article
- Ten best practices for effective phenological research.International journal of biometeorology · 2023Review
- Seasonal Patterns in the Frequency ofInsects · 2023Article
- The written history of plant phenology: shaping primary sources for secondary publications.Die Naturwissenschaften · 2023Article
- Phenological variations in relation to climatic variables of moist temperate forest tree species of western Himalaya, India.Heliyon · 2023Article
- Ontologies for increasing the FAIRness of plant research data.Frontiers in plant science · 2023Review
- A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data.iScience · 2022Article
- Using Convolutional Neural Networks to Efficiently Extract Immense Phenological Data From Community Science Images.Frontiers in plant science · 2021Article
- Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data-model integration.Global change biology · 2021Article
- Transforming the study of organisms: Phenomic data models and knowledge bases.PLoS computational biology · 2020Review
- Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research.Bioscience · 2020Article
- Maximizing human effort for analyzing scientific images: A case study using digitized herbarium sheets.Applications in plant sciences · 2020Article
- Low-cost observations and experiments return a high value in plant phenology research.Applications in plant sciences · 2020Review
- Methods for broad-scale plant phenology assessments using citizen scientists' photographs.Applications in plant sciences · 2020Article
- Cyberinfrastructure and resources to enable an integrative approach to studying forest trees.Evolutionary applications · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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