iNaturalist

iNaturalist aggregates photographic observations from citizen scientists to generate large-scale plant phenology records for ecological analyses, including detection of anomalous flowering and assessment of spatiotemporal phenological patterns.

Key Features:

• Photographic phenology data: Photographs uploaded by volunteers provide visual evidence for scoring flowering and other phenophases.
• Scoring and annotation best practices: Use of standardized best-practices approaches for scoring and annotating digital records to ensure data quality and reusability.
• Taxon-specific datasets: Supports focused analyses for well-documented taxa such as Yucca based on diagnostic morphological features in images.
• Anomalous event detection: Enables detection and analysis of anomalous flowering events from temporally and spatially distributed observations.
• Comparative spatiotemporal coverage: Facilitates comparison of iNaturalist records with other monitoring resources to evaluate coverage and gaps.
• Integration into knowledge stores: Annotated records can be integrated into global biodiversity and phenology data repositories to enhance data reuse.
• Scalability across taxa: Provides a scalable model for studying phenology across multiple taxa and regions.
• Support for ecological interaction studies: Generates phenological timing data relevant to plant–pollinator interaction and environmental response research.

Scientific Applications:

• Broad-scale phenology assessment: Assess plant phenology across large spatial and temporal extents using photographic records.
• Anomalous flowering analysis: Identify and analyze anomalous flowering events and their potential effects on subsequent typical flowering periods.
• Taxon-focused studies: Conduct detailed phenological studies for taxa with distinctive floral morphology such as Yucca.
• Filling monitoring gaps: Complement conventional monitoring networks by filling spatial, temporal, and taxonomic gaps in phenological data.
• Data integration: Contribute annotated observations to global biodiversity and phenology databases to improve data synthesis and reuse.
• Plant–pollinator research: Support investigations of how phenological shifts affect plant–pollinator interactions and ecological responses to environmental change.

Methodology:

Photographic observations were scored and annotated using best-practices approaches (including annotation of nearly 9,000 Yucca records) and compared for spatiotemporal coverage against other monitoring resources to detect anomalous flowering events.