Toolbox to process raw data from closed loop flux chamber (or tent)
    setups into ecosystem gas fluxes usable for analysis. It goes from a
    data frame of gas concentration over time (which can contain several
    measurements) and a meta data file indicating which measurement was done
    when, to a data frame of ecosystem gas fluxes including quality diagnostics.
    Organized with one function per step, maximizing user flexibility and backwards
    compatibility. Different models to estimate the fluxes from the raw data are
    available: exponential as described in
    Zhao et al (2018) <doi:10.1016/j.agrformet.2018.08.022>, exponential as described in
    Hutchinson and Mosier (1981) <doi:10.2136/sssaj1981.03615995004500020017x>,
    quadratic, and linear. Other functions include quality assessment,
    plotting for visual check, calculation of fluxes based on the setup
    specific parameters (chamber size, plot area, ...), gross primary production
    and transpiration rate calculation, and light response curves.

An interactive 'shiny'-based tool for exploration and quality
    assurance and quality control (QA/QC) of eddy covariance flux tower
    data processing. It generates data-point removal code via
    user-directed selection from a scatterplot, and can export a cleaned
    .csv with removed points set to NA plus an R script for
    reproducibility. Reference: Key (2025) <DOI:10.5281/zenodo.15597159>.

Compute energy fluxes in trophic networks, from resources to their consumers, and can be applied to systems ranging from simple two-species interactions to highly complex food webs. It implements the approach described in Gauzens et al. (2017) <doi:10.1101/229450> to calculate energy fluxes, which are also used to calculate equilibrium stability.

Functions for range estimation in birds based on Pennycuick (2008)
    and Pennycuick (1975), 'Flight' program which compliments Pennycuick (2008)
    requires manual entry of birds which can be tedious when there are thousands
    of birds to estimate. Implemented are two ODE methods discussed in Pennycuick (1975)
    and time-marching computation method "constant muscle mass" as in Pennycuick (1998).
    See Pennycuick (1975, ISBN:978-0-12-249405-5), Pennycuick (1998) <doi:10.1006/jtbi.1997.0572>,
    and Pennycuick (2008, ISBN:9780080557816).