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

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.

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Publication Details

Journal
Proceedings of the Royal Society B Biological Sciences
Published
2025-02-01
DOI
https://doi.org/10.1098/rspb.2024.2748
Citations
3
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
9.08
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article

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

Carolina Tovar, Barnaby E. Walker, Sebastián Ayala‐Ruano, Francisco Cuesta et al.
3 citations
Proceedings of the Royal Society B Biological Sciences
Plant and animal studies
9.08
article

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

Carolina Tovar, Barnaby E. Walker, Sebastián Ayala‐Ruano, Francisco Cuesta, Justin Wheeler, Jenny Ordóñez, Sean M. McMahon, Kevin Aguirre‐Carvajal
article en
3 citations

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.

Proceedings of the Royal Society B Biological SciencesVol. 292(2041)
Smithsonian Tropical Research Institute (PA), Queen Mary University of London (GB), Royal Botanic Gardens, Kew (GB), Novo Nordisk Foundation (DK), Maastricht University (NL), Universidad de Las Américas (EC), Smithsonian Environmental Research Center (US), Universidad San Francisco de Quito (EC)
Life in Land
Openalex Percentile: Top 3%
Plant and animal studies
9.08
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