Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Brian J. Clough; Matthew B. Russell; Grant M. DomkeChristopher W. Woodall; Philip J. Radtke
    Date: 2016
    Source: Ecological Modelling
    Publication Series: Scientific Journal (JRNL)
    Station: Northern Research Station
    PDF: View PDF  (1.0 MB)

    Description

    tEstimation of live tree biomass is an important task for both forest carbon accounting and studies of nutri-ent dynamics in forest ecosystems. In this study, we took advantage of an extensive felled-tree database(with 2885 foliage biomass observations) to compare different models and grouping schemes based onphylogenetic and geographic variation for predicting foliage biomass at the tree scale. We adopted aBayesian hierarchical statistical framework, first to compare linear models that predict foliage biomassdirectly to models that separately estimate a foliage ratio as a component of total aboveground biomass,then to compare species specific models to both 'narrow' and 'broad' general biomass models using thebest fitted functional form. We evaluated models by simulating new datasets from the posterior pre-dictive distribution, using both summary statistics and visual assessments of model performance. Keyfindings of our study were: (1) simple linear models provided a better fit to our data than component ratiomodels, where total biomass and the foliar ratio are estimated separately; (2) species-specific equationsprovided the best predictive performance, and there was no advantage to narrow species groupings rel-ative to broader groups; and (3) all three model schemes (i.e., species-specific models versus narrow orbroad groupings proposed in national-scale biomass equations) tended to over-predict foliage biomassand resulted in predictions with very high uncertainty, particularly for large diameter trees. This analysisrepresents a fundamental shift in carbon accounting by employing felled-tree data to refine our under-standing of uncertainty associated with component biomass estimates, and presents an ideal approach toaccount for tree-scale allometric model error when estimating forest carbon stocks. However, our resultsalso highlight the need for substantial improvements to both available fitting data and models for foliagebiomass before this approach is implemented within the context of greenhouse gas inventories.

    Publication Notes

    • Check the Northern Research Station web site to request a printed copy of this publication.
    • Our on-line publications are scanned and captured using Adobe Acrobat.
    • During the capture process some typographical errors may occur.
    • Please contact Sharon Hobrla, shobrla@fs.fed.us if you notice any errors which make this publication unusable.
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Clough, Brian J.; Russell, Matthew B.; Domke, Grant M.; Woodall, Christopher W.; Radtke, Philip J. 2016. Comparing tree foliage biomass models fitted to a multispecies, felled-tree biomass dataset for the United States. Ecological Modelling. 333: 79-91. https://doi.org/10.1016/j.ecolmodel.2016.04.009.

    Cited

    Google Scholar

    Keywords

    Foliage biomass models, Component ratio models, Bayesian hierarchical models, Posterior predictive checking, Prediction uncertainty

    Related Search


    XML: View XML
Show More
Show Fewer
Jump to Top of Page
https://www.fs.usda.gov/treesearch/pubs/56211