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Phenological patterns of tropical mountain forest trees across the neotropics: evidence from herbarium specimens

  • J. C. Ordoñez*
  • , C. Tovar
  • , B. E. Walker
  • , J. Wheeler
  • , S. Ayala-Ruano
  • , K. Aguirre-Carvajal
  • , S. M. McMahon
  • , F. Cuesta
  • *Corresponding author for this work
    • Universidad de las Américas - Ecuador
    • Royal Botanic Gardens, Kew
    • Queen Mary University of London
    • Smithsonian Institution

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    The flowering phenology of many tropical mountain forest tree species remains poorly understood, including flowering synchrony and its drivers across neotropical ecosystems. We obtained herbarium records for 427 tree species from a long-term monitoring transect on the northwestern Ecuadorian Andes, sourced from the Global Biodiversity Information Facility and the Herbario Nacional del Ecuador. Using machine learning algorithms, we identified flowering phenophases from digitized specimen labels and applied circular statistics to build phenological calendars across six climatic regions within the neotropics. We found 47 939 herbarium records, of which 14 938 were classified as flowering by Random Forest Models. We constructed phenological calendars for six regions and 86 species with at least 20 flowering records. Phenological patterns varied considerably across regions, among species within regions, and within species across regions. There was limited interannual synchronicity in flowering patterns within regions primarily driven by bimodal species whose flowering peaks coincided with irradiance peaks. The predominantly high variability of phenological patterns among species and within species likely confers adaptative advantages by reducing interspecific competition during reproductive periods and promoting species coexistence in highly diverse regions with little or no seasonality.

    Original languageEnglish
    Article number20242748
    JournalProceedings of the Royal Society B: Biological Sciences
    Volume292
    Issue number2041
    ISSN0962-8452
    DOIs
    Publication statusPublished - 2025

    Keywords

    • Circular statistics
    • Montane forests
    • Natural language processing
    • Neotropics
    • Random forest
    • Vouchers

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