fortedata is an R package that provides functions for accessing and interpreting data associated with FoRTE: Forest Resilience Threshold Experiment--a modeling and manipulative field experiment that tests the effects of disturbance severity and disturbance type on carbon cycling dynamics in a temperate forest. Package data consists of measurements of carbon pools and fluxes and ancillary measurements to help users analyze and interpret carbon cycling over time.
We recommend that users begin with either package vignettes that provide detailed examples of package functions and potential use cases, or with package documentation.
Installing the latest development version of fortedata from GitHub (requires devtools):
if (!require("devtools")) {
install.packages("devtools")
}
devtools::install_github("FoRTExperiment/fortedata", dependencies = TRUE, build_vignettes = FALSE)
fortedata
1.0.2 Updates and Future Data AvailabilityUpdates
fd_double_dendro
and fd_dendro
functions have been added that provide data from dendrometer bands
fd_cwd
function added that includes coarse woody debris data from a 2019 survey of FoRTE plots
fd_ceptometer
now includes 2020 PAR data with an additional correction for some data based on calibration with the UMBS AmeriFlux sensor (see function documentation and additionally an in preperation manuscript, a preprint of which to be added upon submission)
fd_dendro
has been added to the package and includes dendrometer data from 2019 and 2020.
fd_leaf_spectrometry
now includes 2018, 2019, and 2020 data, as well as corrected leaf_id and tree_id data columns. Additionally, the original filename has been retained in the data set as id (2020-12-14)
fd_canopy_structure()
now includes 2020 lidar-derived canopy structural trait data. (2020-12-09)
fd_soil_respiration()
now includes 2020 soil CO2 efflux, soil temperature, and soil water content data. (2020-12-09)
Future Data Availability
3-D lidar structural data has been held up further by COVID-19. Access to computing resources to process said data have been greatly encumbered. Not likely complete until Summer 2021.
Processing of 2019 and 2020 photosynthesis data (see fd_photosynthesis()
for 2018) is underway and will hopefully be done by the end of 2020.
Additional future data to include are canopy dendroband data for 2019 and 2020, coarse woody debris surveys from 2019 and 2020, and small veg plot survey counts. Please email Jeff with any concerns or questions (jwatkins6vcu.edu)
Principal Investigators: Chris M. Gough and Ben Bond-Lamberty
PNNL Science Team: Kalyn Dorheim, Stephanie Pennington
Postdoctoral Researchers: Jeff W. Atkins, Alexey Shiklomanov
Graduate Students: Maxim S. Grigri, Lisa T. Haber, Kayla Mathes, Cameron Clay
Undergraduate Students: Alexandra Barry, Laura J. Hickey, Catherine McGuigan, Autym Shafer
REU Students: Evan Paris, Carly Rodriguez
Research Collaborators: Elizabeth Agee, Brandon Alveshare, Kyla M. Dahlin, Robert T. Fahey, Aaron G. Kamoske, Jason Tallant