Data from: Decoupled litterfall and canopy signals reveal species-specific leaf phenology in a wet Hawaiian tropical forest
Data files
May 25, 2026 version files 268.56 KB
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litter_chemistry.csv
4.29 KB
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litter-turnover-climate.csv
2.56 KB
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README.md
3.40 KB
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roi_summary.csv
258.32 KB
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.
Dataset DOI: 10.5061/dryad.sn02v6xmk
Description of the data and file structure
This dataset contains litterfall, leaf litter chemistry, canopy imagery, and climate data collected from a wet montane forest in Hawai'i. Data were collected over a 12-year period beneath two dominant native tree species: Metrosideros polymorpha ('ōhi'a lehua) and Acacia koa (koa). The dataset includes leaf litterfall rate by species and season, leaf litter chemistry (Carbon and Nitrogen) by species and season, PhenoCam image classifications from machine-learning-derived canopy classes from time-lapse camera images; and climate data corresponding to the study location and sampling periods. These data were used to examine seasonal leaf turnover timing, foliar nutrient investment, canopy greenness dynamics, and environmental drivers of leaf phenology in a tropical montane forest.
Files and variables
File: litter_chemistry.csv
Description of variables:
- species: ACAKOA = Acacia koa; METPOL = Metrosideros polymorpha
- month: (1-12)
- year: 4-digit year (2009-2021)
- season: wet = months 11-4 (Nov-Apr); dry = months 5-10 (May-Oct)
- %C: leaf litter percent Carbon
- %N: leaf litter percent Nitrogen
- C:N: leaf litter Carbon to Nitrogen ratio
File: litter-turnover-climate.csv
Description of variables:
- date_range: leaf litterfall collection dates
- days: number of days within "date_range"
- season: wet = months 11-4 (Nov-Apr); dry = months 5-10 (May-Oct)
- metpol_rate_gdm2: Metrosideros polymorpha leaf litterfall rate - grams per square meter per day
- acakoa_rate_gdm2: Acacia koa leaf litterfall rate - grams per square meter per day
- Tair_C_mean: Average air temperature (Celsius) over "date_range"
- RH_%_mean: Average relative humidity (percent) over "date_range"
- Tsoil_C_mean: Average soil temperature (Celsius) over "date_range"
- SHF_Wm2_mean: Average soil heat flux (Watts per square meter ) over "date_range"
- SM_%_mean: Average soil moisture (percent) over "date_range"
- PAR_mmolm2s_mean: Average photosynthetically active radiation (micromoles per square meter per second) over "date_range"
- WS_ms_mean: Average wind speed (meters per second) over "date_range"
- P_mm_sum: Cumulative sum of precipitation (millimeters) over "date_range"
File: roi_summary.csv
Description of variables:
- year: 4-digit year
- month: (1-12)
- day: day of month
PhenoCam canopy classification variables follow the naming convention:
region[N]_[class]pct[stat]
where:
N = region of interest (ROI) number (1–6)
class = classification group:
- sunlit – sunlit green leaves
- shaded – shaded green leaves
- nonphoto – non-photosynthetic vegetation
- bark – bark
- understory – understory vegetation
stat = summary statistic:
- mean – average percent of pixels in that category across daily images
- sd – standard deviation
- se – standard error
Example: region2_sunlit_pct_sd = standard deviation of the percent of pixels classified as sunlit green leaves within region of interest (ROI) 2.
Access information
Other publicly accessible locations of the data:
- NA
Data was derived from the following sources:
- NA
