SDI.Plot | R Documentation |
This function computes the Stand Density Index for each plot in your inventory using the summation method.
SDI.Plot(Stand, Plot, Tree, DBH, EXPF)
Stand |
Unique Stand ID |
Plot |
Unique Plot ID |
Tree |
Unique Tree ID |
DBH |
Diameter at breast height in cm. |
EXPF |
Expansion factor for each tree. |
This function utilizes the internal SDI.tree function and each tree's expansion factor to provide you with the SDI for each plot in your inventory.
The SDI.Tree function uses the formula (DBH/25.4)^1.605
This index of SDI is obtained through summation (see references). This is a way of determining stand density in uneven-aged stands with non-normal diameter distributions.
This function simplifies obtaining plot level SDI measurements. This SDI value is useful when paired with the SDI.Max function to obtain a Relative Density value using the RD function.
The return value is a numerical vector of length n providing the stand density index for each plot in your inventory.
Ryan Smith
Woodall, C. W., Miles, P. D., & Vissage, J. S. (2005). Determining maximum stand density index in mixed species stands for strategic-scale stocking assessments. Forest Ecology and Management, 216(1–3), 367–377. https://doi.org/10.1016/j.foreco.2005.05.050
SDI.Tree
SDI.Max
Other Plot Level Functions:
BA.Larger.Trees()
,
BAPH()
,
CCF.Larger()
,
CrownCompF()
,
DBHFuns()
,
HeightPredict()
,
RD()
,
SDI.Max()
,
TPH()
,
TallestTrees()
,
Unique.ID()
Other Stand Density Index Functions:
RD()
,
SDI.Max()
Stand <- c(1,1,1,1,1,1) Plot <- c(1,1,1,2,2,2) Tree <- c(1,2,3,1,2,3) DBH <- c(24, 34, 18, 41, 28, 20) EXPF <- c(5, 5, 5, 5, 5, 5) SDI.Plot(Stand, Plot, Tree, DBH, EXPF)
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