Estimates of live-tree carbon stores in the Pacific Northwest are sensitive to model selection

<p>Abstract</p> <p>Background</p> <p>Estimates of live-tree carbon stores are influenced by numerous uncertainties. One of them is model-selection uncertainty: one has to choose among multiple empirical equations and conversion factors that can be plausibly justified as...

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Main Authors: Fried Jeremy S, Harmon Mark E, Melson Susanna L, Domingo James B
Format: Article
Language:English
Published: BMC 2011-04-01
Series:Carbon Balance and Management
Online Access:http://www.cbmjournal.com/content/6/1/2
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spelling doaj-54156e67e9ac41b8ad84ce211880a1df2020-11-24T22:01:25ZengBMCCarbon Balance and Management1750-06802011-04-0161210.1186/1750-0680-6-2Estimates of live-tree carbon stores in the Pacific Northwest are sensitive to model selectionFried Jeremy SHarmon Mark EMelson Susanna LDomingo James B<p>Abstract</p> <p>Background</p> <p>Estimates of live-tree carbon stores are influenced by numerous uncertainties. One of them is model-selection uncertainty: one has to choose among multiple empirical equations and conversion factors that can be plausibly justified as locally applicable to calculate the carbon store from inventory measurements such as tree height and diameter at breast height (DBH). Here we quantify the model-selection uncertainty for the five most numerous tree species in six counties of northwest Oregon, USA.</p> <p>Results</p> <p>The results of our study demonstrate that model-selection error may introduce 20 to 40% uncertainty into a live-tree carbon estimate, possibly making this form of error the largest source of uncertainty in estimation of live-tree carbon stores. The effect of model selection could be even greater if models are applied beyond the height and DBH ranges for which they were developed.</p> <p>Conclusions</p> <p>Model-selection uncertainty is potentially large enough that it could limit the ability to track forest carbon with the precision and accuracy required by carbon accounting protocols. Without local validation based on detailed measurements of usually destructively sampled trees, it is very difficult to choose the best model when there are several available. Our analysis suggests that considering tree form in equation selection may better match trees to existing equations and that substantial gaps exist, in terms of both species and diameter ranges, that are ripe for new model-building effort.</p> http://www.cbmjournal.com/content/6/1/2
collection DOAJ
language English
format Article
sources DOAJ
author Fried Jeremy S
Harmon Mark E
Melson Susanna L
Domingo James B
spellingShingle Fried Jeremy S
Harmon Mark E
Melson Susanna L
Domingo James B
Estimates of live-tree carbon stores in the Pacific Northwest are sensitive to model selection
Carbon Balance and Management
author_facet Fried Jeremy S
Harmon Mark E
Melson Susanna L
Domingo James B
author_sort Fried Jeremy S
title Estimates of live-tree carbon stores in the Pacific Northwest are sensitive to model selection
title_short Estimates of live-tree carbon stores in the Pacific Northwest are sensitive to model selection
title_full Estimates of live-tree carbon stores in the Pacific Northwest are sensitive to model selection
title_fullStr Estimates of live-tree carbon stores in the Pacific Northwest are sensitive to model selection
title_full_unstemmed Estimates of live-tree carbon stores in the Pacific Northwest are sensitive to model selection
title_sort estimates of live-tree carbon stores in the pacific northwest are sensitive to model selection
publisher BMC
series Carbon Balance and Management
issn 1750-0680
publishDate 2011-04-01
description <p>Abstract</p> <p>Background</p> <p>Estimates of live-tree carbon stores are influenced by numerous uncertainties. One of them is model-selection uncertainty: one has to choose among multiple empirical equations and conversion factors that can be plausibly justified as locally applicable to calculate the carbon store from inventory measurements such as tree height and diameter at breast height (DBH). Here we quantify the model-selection uncertainty for the five most numerous tree species in six counties of northwest Oregon, USA.</p> <p>Results</p> <p>The results of our study demonstrate that model-selection error may introduce 20 to 40% uncertainty into a live-tree carbon estimate, possibly making this form of error the largest source of uncertainty in estimation of live-tree carbon stores. The effect of model selection could be even greater if models are applied beyond the height and DBH ranges for which they were developed.</p> <p>Conclusions</p> <p>Model-selection uncertainty is potentially large enough that it could limit the ability to track forest carbon with the precision and accuracy required by carbon accounting protocols. Without local validation based on detailed measurements of usually destructively sampled trees, it is very difficult to choose the best model when there are several available. Our analysis suggests that considering tree form in equation selection may better match trees to existing equations and that substantial gaps exist, in terms of both species and diameter ranges, that are ripe for new model-building effort.</p>
url http://www.cbmjournal.com/content/6/1/2
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