TY - JOUR
T1 - Phenological patterns of tropical mountain forest trees across the neotropics
T2 - evidence from herbarium specimens
AU - Ordoñez, J. C.
AU - Tovar, C.
AU - Walker, B. E.
AU - Wheeler, J.
AU - Ayala-Ruano, S.
AU - Aguirre-Carvajal, K.
AU - McMahon, S. M.
AU - Cuesta, F.
N1 - Publisher Copyright:
© 2025 The Author(s).
PY - 2025/2/26
Y1 - 2025/2/26
N2 - 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.
AB - 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.
KW - circular statistics
KW - montane forests
KW - natural language processing
KW - neotropics
KW - random forest
KW - vouchers
UR - http://www.scopus.com/inward/record.url?scp=85218880420&partnerID=8YFLogxK
U2 - 10.1098/rspb.2024.2748
DO - 10.1098/rspb.2024.2748
M3 - Artículo
AN - SCOPUS:85218880420
SN - 0962-8452
VL - 292
JO - Proceedings of the Royal Society B: Biological Sciences
JF - Proceedings of the Royal Society B: Biological Sciences
IS - 2041
M1 - 20242748
ER -