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Hybrid estimators for mean aboveground carbon per unit area

Carbon accounting is at the heart of efforts to mitigate the effects of climate change. One approach for estimating population parameters for live tree stem carbon entails three primary steps: (1) construction of an individual tree, allometric carbon model, (2) application of the model to tree-level data for a probability sample of plots, and (3) use of a probability-...

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Author(s):

Ronald E. McRoberts; Qi Chen; Grant M. Domke; Göran Ståhl; Svetlana Saarela; James A. Westfall

Year:

2016

Keywords:

Allometric model, Uncertainty analysis, Wood density, Carbon content

Source:

Forest Ecology and Management

Propagating uncertainty through individual tree volume model predictions to large-area volume estimates

Key message. The effects on large-area volume estimates of uncertainty in individual tree volume model predictions were negligible when using simple random sampling estimators for large-area estimation, but non-negligible when using stratified estimators which reduced the effects of sampling variability. Context. Forest...

Author(s):

Ronald E. McRoberts; James A. Westfall

Year:

2016

Keywords:

Measurement error, Parameter uncertainty, Residual variability, Stratified estimation

Source:

Annals of Forest Science

Consequences of alternative tree-level biomass estimation procedures on U.S. forest carbon stock estimates

Forest ecosystems are the largest terrestrial carbon sink on earth and their management has been recognized as a relatively cost-effective strategy for offsetting greenhouse gas emissions. Forest carbon stocks in the U.S. are estimated using data from the USDA Forest Service, Forest Inventory and Analysis (FIA) program. In an attempt to balance accuracy with...

Author(s):

Grant M. Domke; Christopher W. Woodall; James E. Smith; James A. Westfall; Ronald E. McRoberts

Year:

2012

Keywords:

Forest inventory, Carbon accounting, Tree volume, Climate change, Tree biomass

Source:

Forest Ecology and Management. 270(15): 108-116.

A review of the challenges and opportunities in estimating above ground forest biomass using tree-level models

Accurate biomass measurements and analyses are critical components in quantifying carbon stocks and sequestration rates, assessing potential impacts due to climate change, locating bio-energy processing plants, and mapping and planning fuel treatments. To this end, biomass equations will remain a key component of future carbon measurements and estimation. As...

Author(s):

Hailemariam Temesgen; David Affleck; Krishna Poudel; Andrew Gray; John Sessions

Year:

2015

Keywords:

biomass allometries, sampling error, uncertainity

Source:

Scandinavian Journal of Forest Research. 30(4): 326-335.

A comparison of above-ground dry-biomass estimators for trees in the Northeastern United States

In the northeastern United States, both component and total aboveground tree dry-biomass estimates are available from several sources. In this study, comparisons were made among four methods to promote understanding of the similarities and differences in live-tree biomass estimators. The methods use various equations developed from biomass data collected in the United...

Author(s):

James A. Westfall

Year:

2012

Keywords:

biomass components, component ratio, forest inventory, tree carbon

Source:

Northern Journal of Applied Forestry

Comparison of five canopy cover estimation techniques in the western Oregon Cascades.

Estimates of forest canopy cover are widely used in forest research and management, yet methods used to quantify canopy cover and the estimates they provide vary greatly. Four commonly used ground-based techniques for estimating overstory cover - line-intercept, spherical densiometer, moosehorn, and hemispherical photography - and cover estimates generated from crown...

Author(s):

Anne C.S. Fiala; Steven L. Garman; Andrew N. Gray

Year:

2006

Keywords:

Oregon Cascades, canopy cover, line intercept, densiometer, moosehorn, hemispherical photography, FVS

Source:

Forest Ecology and Management. 232: 188-197

Effects of uncertainty in model predictions of individual tree volume on large area volume estimates

Forest inventory estimates of tree volume for large areas are typically calculated by adding model predictions of volumes for individual trees. However, the uncertainty in the model predictions is generally ignored with the result that the precision of the large area volume estimates is overestimated. The primary study objective was to estimate the effects of model...

Author(s):

Ronald E. McRoberts; James A. Westfall

Year:

2014

Keywords:

allometric model, model parameter uncertainty, residual uncertainty, Monte Carlo simulation