rTRIPLEXCWFlux

Purpose

The rTRIPLEXCWFlux package encodes the carbon uptake submodule and evapotranspiration submodule of the TRIPLEX-CW-Flux model to run the simulation of carbon-water coupling. TRIPLEX-CW-Flux model is based on two well-established models, TRIPLEX-Flux model (Zhou et al., 2008) and Penman–Monteith model (Monteith, 1965). In the R script, the user only needs to download and load the rTRIPLEX-CW-Flux package, and then input the variables and parameters of the model to obtain simulated results. This package accelerates the running speed of the model and facilitates the estimation of carbon sequestration and water consumption in different forest ecosystems using extensive flux observed data.This could make TRIPLEX-CW-Flux model free available and more popular in future study.

Installation

You can install the development version of rTRIPLEXCWFlux from GitHub with:

# install.packages("devtools")
devtools::install_github(repo="ShulanSun/rTRIPLEX_CW_Flux")

Usage

This is a basic example which shows you how to run the package. In this example, we run a simulation for a Chinese fir plantation. The input data are provided as internal data in rTRIPLEXCWFlux. The outputs of the TRIPLEX_CW_Flux function are a long format dataframe and charts of simulated result for net ecosystem productivity (NEP) and evapotranspiration (ET) at 30 min scale, and monthly variation of the input environmental factors.

library(rTRIPLEXCWFlux)
out<-TRIPLEX_CW_Flux (Input_variable=Inputvariable,
                 Input_parameter=Inputpara,
                 overyear = TRUE)
head(out)
## basic example code

Author

Shulan Sun, Wenhua Xiang, Shuai Ouyang, Xiaolu Zhou, Changhui Peng

References

Evaporation and Environment. Symposia of the Society for Experimental Biology, 19, 205-234. https://www.semanticscholar.org/paper/Evaporation-and-environment.-Monteith

Zhou, X.L., Peng, C.H., Dang, Q.L., Sun, J.F., Wu, H.B., &Hua, D. (2008). Simulating carbon exchange in Canadian Boreal forests: I. Model structure, validation, and sensitivity analysis. Ecological Modelling,219(3-4), 287-299. https://doi.org/10.1016/j.ecolmodel.2008.07.011