StemAnalysis (version 0.1.0)

stemanalysism: Reconstructing Tree Growth and Carbon Accumulation with Stem Analysis Data

Description

Reconstructing Tree Growth and Carbon Accumulation with Stem Analysis Data

Usage

stemanalysism(
  xtree,
  stemgrowth = FALSE,
  treecarbon = FALSE,
  HDmodel = FALSE,
  stemdata,
  parameterdata,
  BEFdata
)

Value

A list with class "output" containing the following components: - `StemGrowth`: the estimated stem growth trends data, including the tree age chronosequence and the corresponding growth data of diameter at breast height (DBH), stem height, and stem volume - `allomCarbon`: the estimated tree biomass and carbon storage data by using allometric models, including tree biomass and carbon storage for each tissues (stem, branch, leaf, root, and total tree) - `volumeCarbon`: the estimated tree biomass and carbon storage data by using volume model, including tree biomass and carbon storage for each tissues (stem, branch, leaf, root, and total tree)

Arguments

xtree

Xtree is the tree number (Treeno), which is used to choose the target tree to be analyzed

stemgrowth

If stemgrowth is 'TRUE', stem growth profile and growth trends in terms of diameter at breast height (DBH), tree height, and stem volume will be showed in a graph

treecarbon

If treecarbon is 'TRUE', total tree biomass and carbon storage will be estimated by allometric models (Xiang et al., 2021) and volume model (IPCC, 2003). In addition, although treecarbon is 'TRUE', the estimation of tree biomass and carbon storage by allometric models will skip if data 'parameterdata' is missing, and the same is true for the estimation by volume model if data 'BEFdata' is missing

HDmodel

If HDmodel is 'TRUE', height-diameter relationship will be fitted with nonlinear models (Mehtatalo, 2017) and showed the fitted results in a graph

stemdata

Stemdata is the stem analysis data that has been inputted

parameterdata

Parameterdata is the parameter data of allometric models that can be optionally inputted

BEFdata

BEFdata is the biomass estimation factor data of volume model that can be optionally inputted by users

References

Fang, J., Chen, A., Peng, C., et al. (2001) Changes in forest biomass carbon storage in China between 1949 and 1998. Science 292, 2320-2322. doi:10.1126/science.1058629

Mehtatalo, L. (2017) Lmfor: Functions for forest biometrics. https://CRAN.R-project.org/package=lmfor

Xiang, W.H., Li, L.H., Ouyang, S., et al. (2021) Effects of stand age on tree biomass partitioning and allometric equations in Chinese fir (Cunninghamia lanceolata) plantations. European Journal of Forest Research 140, 317-332. doi:10.1007/s10342-020-01333-0

Examples

library(StemAnalysis)

# Load the data sets
data(stemdata)
data(parameterdata)

# To calculating tree growth and carbon accumulation with input data sets
stemanalysism(xtree = 8, stemdata = stemdata)

# If the graph of stem growth profile and growth trends is needed
stemanalysism(xtree = 8, stemgrowth = TRUE, treecarbon = TRUE,
    stemdata = stemdata, parameterdata = parameterdata)