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Seasonality of reproduction in an ever-wet lowland tropical forest in Amazonian Ecuador.

Nancy C GarwoodMargaret R MetzSimon A QueenboroughViveca PerssonS Joseph WrightDavid F R P BurslemMilton ZambranoRenato Valencia
Published in: Ecology (2023)
Flowering and fruiting phenology have been little studied in the ever-wet hyperdiverse lowland forests of northwestern equatorial Amazonia. These Neotropical forests are typically called aseasonal with reference to climate because they are ever-wet, and it is often assumed they are also aseasonal with respect to phenology. The physiological limits to plant reproduction imposed by water and light availability are difficult to disentangle in seasonal forests because these variables are often temporally correlated, and both are rarely studied together, challenging our understanding of their relative importance as drivers of reproduction. Here we report on the first long-term study (18 years) of flowering and fruiting phenology in a diverse equatorial forest, Yasuní in eastern Ecuador, and the first to include a full suite of on-site monthly climate data. Using twice monthly censuses of 200 traps and > 1000 species, we determined whether reproduction at Yasuní is seasonal at the community- and species-levels and analyzed the relationships of environmental variables to phenology. We also tested the hypothesis that seasonality in phenology, if present, is driven primarily by irradiance. Both the community- and species-level measures demonstrated strong reproductive seasonality at Yasuní. Flowering peaked in September-November and fruiting peaked in March-April, with a strong annual signal for both phenophases. Irradiance and rainfall were also highly seasonal, even though no month on average experienced drought (a month with < 100 mm rainfall). Flowering was positively correlated with current or near-current irradiance, supporting our hypothesis that the extra energy available during the period of peak irradiance drives seasonality of flowering at Yasuní. As Yasuní is representative of lowland ever-wet equatorial forests of northwestern Amazonia, we expect that reproductive phenology will be strongly seasonal throughout this region. This article is protected by copyright. All rights reserved.
Keyphrases
  • climate change
  • arabidopsis thaliana
  • human health
  • mental health
  • genetic diversity
  • south africa
  • machine learning
  • cross sectional
  • risk assessment
  • big data
  • artificial intelligence