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Data sourced from Oikawa et al."A new coupled biogeochemical modeling approach provides accurate predictions of methane and carbon dioxide fluxes across diverse tidal wetlands." Journal of Geophysical Research: Biogeosciences 129.10 (2024): e2023JG007943. Eddy covariance data are from Ameriflux sites US-Srr, US-Edn, US-LA1, US-PLM, US-Stj See Ameriflux website for site location and information: https://ameriflux.lbl.gov/sites/site-search/ All sites are North American tidal marshes

Usage

example_data

Format

example_data

A data frame with 7,240 rows and 60 columns:

site

Ameriflux site ID

Year

Year

DOY_disc

Discontinuous day of year (starts over at 1 at the beginning of each year)

DOY

Day of year (continuously increases over time)

TA_C

Air temperature (degrees C)

WTD_cm

Water table depth (cm)

PAR_umol_m2_day

Average Photosynthetically active radiation (umol m-2 d-1)

LAI

Leaf Area Index (not used in this dataset so defaulted to NaN)

EVI

daily Enhanced Vegetation Index from Landsat

FPAR

FPAR flag for GPP module. Set to 0 if using EVI. Set to 1 if using LAI

LUE

Light Use Efficiency. Computed by taking the average of daily measured GPP divided by daily average PAR for each site

Wetland_age_years

Age of wetland in years

Salinity_daily_ave_ppt

Daily average salinity (ppt)

NO3_mg_L

Daily average NO3 (mg/L)

SOM_MEM_gC_m3

Available soil organic matter (gC m-3) in the top 1 m of soil predicted by the Cohort Marsh Equilibrium (CMEM) model

CO2_gC_m2_day

Measured Net Ecosystem Exchange (NEE) of CO2 (gC-CO2 m-2 day-1)

GPP_gC_m2_day

Gross Primary Productivity (GPP) partitioned from NEE (gC-CO2 m-2 day-1)

Reco_gC_m2_day

Ecosystem Respiration (Reco) partitioned from NEE (gC-CO2 m-2 day-1)

CH4_gC_m2_day

Measured Net Ecosystem Exchange of CH4 (gC-CH4 m-2 day-1)

...

Source

Oikawa et al. 2024