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Dryad

Data from: Decoupled litterfall and canopy signals reveal species-specific leaf phenology in a wet Hawaiian tropical forest

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May 25, 2026 version files 268.56 KB

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Abstract

This dataset supports a study of species-specific leaf phenology – canopy and litterfall dynamics – in a wet montane forest in Hawai'i. Data span a 12-year litterfall record collected from two dominant tree species, Metrosideros polymorpha ('ōhi'a lehua) and Acacia koa, representing resource-conservative and resource-acquisitive life history strategies, respectively. This dataset includes litterfall mass, litter nutrient chemistry, PhenoCam-derived canopy greenness classifications, and local climate variables. These data were used to characterize seasonal leaf turnover timing, compare foliar nutrient investment across species, and identify climatic drivers of litterfall using machine-learning approaches.