SummaryAGWP_Kohyama2: Biomass gains and losses incorporating Kohyama et al. 2020...

View source: R/SummaryAGWP_Kohyama2.R

SummaryAGWP_Kohyama2R Documentation

Biomass gains and losses incorporating Kohyama et al. 2020 census interval correction

Description

Function to estimate AGWP, biomass loss and stem turnover at stand level by sumarising species level estimates of vital rates. Species-level method from Kohyama et al. 2020 Journal of Ecology. Acts as a wrapper for productivity.

Usage

SummaryAGWP_Kohyama2(
  xdataset,
  AGBEquation,
  dbh = "D4",
  height.data = NULL,
  palm.eq = TRUE,
  treefern = TRUE
)

Arguments

xdataset

Object returned by mergefp.

AGBEquation

Allometric equation function to use when estimating AGB, for example AGBChv14.

dbh

Name of column containing diameter data. Default is "D4".

height.data

Dataframe containing model type and parameters for height diameter model. These are matched on to the xdataset object at tree level. If NULL (default), then regional height-diameter equations (from Felpaush et al. 2012) are used.

palm.eq

Logical. If TRUE the family level diameter based equation from Goodman et al 2013 is used to estimate AGB of monocots. Otherwise AGB of monocots is estimated using the allometric equation supplied to AGBEquation.

treefern

Logical. If TRUE the height based equation from Tiepolo et al. 2002 is used to estimate the biomass of treeferns. If FALSE biomass is esimated using the allometric equation supplied to AGBEquation.

Value

Dataframe with AGWP and biomass losses for each census interval. NA for census 1. Both AGWP and losses incorporate unobserved growth, and are in units of Mg/ha/year.

Author(s)

Martin Sullivan. Turnover function by T.S. Kohyama et al.

References

Kohyama et al. 2019 Estimating net biomass production and loss from repeated measurements of trees in forests and woodlands: Formulae, biases and recomendations. Forest Ecology and Management 433: 729-740.


ForestPlots/BiomasaFP documentation built on April 28, 2023, 8:26 a.m.