IFNbiomass: Biomass models
In miquelcaceres/IFNdyn: IFN forest dynamics and scenario analysis

Description Usage Arguments Details Value References Examples

Static models for the biomass (kg/ha) of stem, roots, branches, leaves/needles and bark of species in the IFN

1	IFNbiomass(x, as.CO2 = FALSE, area = NA, DBHclasses = NULL, verbose = FALSE)

`x`	A data frame with tree records in rows and columns 'Species', 'DBH' (in cm), 'H' (in m) and 'N' (ha-1)
`as.CO2`	Flag to indicate output as kg of CO2 / ha instead of kg of dry weight / ha. Percentage of carbon per dry weight biomass by species are taken from Montero et al. (2005) (in turn, from Ibáñez et al. 2002).
`area`	Either 'Atlantic' or 'Mediterranean' to specify allometric equations specific to the area (for Pinus pinaster)
`DBHclasses`	A numeric vector of DBH class limits (see breaks in function `cut`), used to group results by DBH class (in addition to species and plot). If `DBHclasses = NULL` then grouping on the basis of DBH classes is not performed.
`verbose`	A flag to indicate console output of the biomass calculation process

Function IFNbiomass determines the allometric equation for each biomass fraction (i.e. compartment) using species code. All equations are calculated form height and diameter at breast height (DBH) of felled trees. Biomass values from equations refer to individual trees, but the function multiplies the result by the density of individuals 'N', so the resulting value is in units of kg/ha. Biomass of branches is the result of adding the result of equations calibrated for different branch diameters.

If DBHclasses = NULL, function IFNbiomass returns a data frame with as many rows as tree records in x and columns 'ID', 'Species', 'Roots', 'Stem', 'Branches', 'Leaves', 'Needles', 'Bark', 'Aerial' and 'Total'. If DBHclasses != NULL then an extra column DBHclass is given and the data frame has less rows than tree records in x. Function IFNproducts returns a data frame with the biomass of products (as well as that of stumps and slash), assuming trees have been felled down.

Diéguez-Aranda, U., A. Rojo Alboreca, F. Castedo-Dorado, J. G. Álvarez González, M. Barrio-Anta, F. Crecente-Campo, J. M. González González, C. Pérez-Cruzado, R. Rodríguez Soalleiro, C. A. López-Sánchez, M. Á. Balboa-Murias, J. J. Gorgoso Varela, and F. Sánchez Rodríguez (2009) Herramientas selvícolas para la gestión forestal sostenible en Galicia. Dirección Xeral de Montes, Consellería do Medio Rural, Xunta de Galicia.

Ibáñez JJ, Vayreda J., Gracia C. (2002) Metodología complementaria al Inventario Forestal Nacional en Catalunya. En: Bravo F.; del Río M.; del Peso C. (eds.) El inventario Forestal Nacional. Elemento clave para la gestión forestal sostenible: 67-77. Fundación General de la Universidad de Valladolid Montero G, Ruiz-Peinado R, Muñoz M (2005) Producción de biomasa y fijación de CO2 por los bosques españoles. Monografias INIA: Serie Forestal nº 13.

Ruiz-Peinado, R., M. Rio, and G. Montero (2011) New models for estimating the carbon sink capacity of Spanish. Forest Systems 20:176–188.

Ruiz-Peinado, R., G. Montero, and M. Del Rio (2012) Biomass models to estimate carbon stocks for hardwood tree species. Forest Systems 21:42.

data(exampleTreeData)

IFNbiomass(exampleTreeData)

# Groups the result by DBH clases
IFNbiomass(exampleTreeData,
           DBHclasses = seq(0, 120, by=5))