Sample Code

QUEST

4th Dimension Code for bootstrapping (random selection of storm samples) that then drives the composite method calculation subroutines, provided by Brent Aulenbach, USGS

R code for Propagating Uncertainty in Plot-based Estimates of Forest Carbon Stock and Carbon Stock Change (Holdaway et al.)

    • Code R (in zipped file)| TXT
  • Used for: Holdaway, Robert J., Stephen J. McNeill, Norman W. H. Mason, and Fiona E. Carswell. 2014. Propagating Uncertainty in Plot-based Estimates of Forest Carbon Stock and Carbon Stock Change. Ecosystems in press. DOI: 10.1007/s10021-014-9749-5 HTML| PDF

R code for Error Propogation (Breidenbach et al. 2014.)

  • Used for: Breidenbach et al. 2014. Quantifying the Model-Related Variability of Biomass Stock and Change Estimates in the Norwegian National Forest inventory. Forest Science 60(1): 25-33

STATA code for estimating uncertainty in tree biomass, provided by Eiji Matsuzaki of the Univ. of Northern British Columbia.

Discharge data and codes for calculating uncertainty associated with gap filling, provided by Eiji Matsuzaki of the Univ. of Northern British Columbia.

  • Strata Code
  • Eiji also provided data and codes as a spreadsheet and text file.

Sample Monte Carlo using MS excel with VB macros, courtesy of Pierre Bernier, Canadian Forest Service.

Sample R code for Monte Carlo simulation of aboveground biomass in W6 at Hubbard Brook, courtesy of Carrie Rose Levine, SUNY-ESF.

Zipped file containing Whittaker MC v3.sas and whittaker.csv, courtesy of Andrew Richardson, Harvard University

An example Excel spreadsheet used to estimate uncertainty using a Monte Carlo approachin the N budget for Hubbard Brook W6.

An example Excel spreadsheet used to estimate uncertainty using a Monte Carlo approach in forest biomass for Bartlett, Hubbard Brook and Jeffers Brook. Unlike Hubbard Brook W6, which is acensus, this includes sampling uncertainty. It also includes a correction for the log-log transformation.

The Predictive Ecosystem Analyzer (U Illinois), provided by David LeBauer, Energy Biosciences Institute, University of Illinois Urbana-Champaign


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