Description Note Author(s) References See Also Examples

The centre of mass is a crucial data for arborists in order to consolidate a tree using steel or dynamic cables. Given field-recorded data on branchiness of a tree, the package:

computes and plots the centre of mass of the tree itself

simulates the shift in CM position as branches are pruned

computes branches slenderness coefficient in order to aid the arborist identify potentially dangerous branches

computes the force acting on a ground plinth and its best position relating to the tree centre of mass, should the tree need to be stabilized by a steel cable

The tree stem is ideally sectioned in logs. The weight of tree components is assessed based on

the sum of volume of stem logs

the sum of branches biomass

Field measures to be taken on logs and branches are described in `importFieldData`

and are to be recorded on the tree itself, possibly using tree-climbing tecniques.
In order to help the arborist in the pruning selection process a simple plot of branch coefficient of slenderness is implemented.

**Branch biomass** is computed by allometric equations relating its fresh weight (wood + leaves) to its diameter at point of insertion on the stem. **Log biomass** is computed by converting its volume to weight using wood fresh density. Volume is computed using Smalian's formula (see `logBiomass`

description).
A sample `.CSV`

file is provided to guide through data filling in the field

Marco Bascietto [email protected]

Source code is hosted at GitHub (http://mbask.github.com/treecm/)

1 2 3 4 5 6 7 8 9 | ```
data(stonePine1TreeData)
vectors <- treeVectors(stonePine1TreeData)
CM <- centreOfMass(vectors)
plot(vectors,
main = "Centre Of Mass",
col = "grey30",
txtcol = "grey30")
plot(CM)
summary(CM)
``` |

treecm documentation built on May 29, 2017, 12:25 p.m.

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