Variation in Carbon Fraction, Density, and Carbon Density in Conifer Tree Tissues

We analyzed variations in three tree properties: tissue density, carbon fraction, and carbon density within bole tissues of nine Californian conifer species. Model performance for all three tree properties was significantly improved with the addition of covariates related to crown characteristics an...

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Main Authors: Dryw A. Jones, Kevin L. O’Hara
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Forests
Subjects:
Online Access:http://www.mdpi.com/1999-4907/9/7/430
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spelling doaj-30e127206f964cd4bbbfe3b0266e1ed12020-11-24T21:32:23ZengMDPI AGForests1999-49072018-07-019743010.3390/f9070430f9070430Variation in Carbon Fraction, Density, and Carbon Density in Conifer Tree TissuesDryw A. Jones0Kevin L. O’Hara1USDA Forest Service Pacific Northwest Research Station, 93rd Avenue SW, Olympia, WA 98512, USAUniversity of California at Berkeley, 140 Mulford Hall, Berkeley, CA 94705-3114, USAWe analyzed variations in three tree properties: tissue density, carbon fraction, and carbon density within bole tissues of nine Californian conifer species. Model performance for all three tree properties was significantly improved with the addition of covariates related to crown characteristics and position within the tree. This suggests that biomass and carbon mass estimates that rely on fixed wood density and carbon fraction may be inaccurate across tree sizes. We found a significant negative relationship between tissue density and carbon fraction within tree bole tissues, indicating that multiplying biomass by an average carbon fraction to obtain carbon mass is likely to lead to inaccurate estimates. Measured carbon fractions in tree tissues deviated from the widely used 0.5 value from a low of 1.4% to a high of 17.6%. Carbon fraction model parameters indicate the potential for an additional deviation from this 0.5 value of up to 2.7% due to the interaction between relative height and wood density. Applying measured carbon fractions to whole bole biomasses resulted in carbon mass estimates as much as 10.6% greater than estimates derived using the 0.5 value. We also found a significant, though modest, improvement in carbon fraction model estimates by assigning trees to groups based on tree bark characteristics.http://www.mdpi.com/1999-4907/9/7/430carbon fractiontissue densityconifer carbon mass estimationmixed-effects model
collection DOAJ
language English
format Article
sources DOAJ
author Dryw A. Jones
Kevin L. O’Hara
spellingShingle Dryw A. Jones
Kevin L. O’Hara
Variation in Carbon Fraction, Density, and Carbon Density in Conifer Tree Tissues
Forests
carbon fraction
tissue density
conifer carbon mass estimation
mixed-effects model
author_facet Dryw A. Jones
Kevin L. O’Hara
author_sort Dryw A. Jones
title Variation in Carbon Fraction, Density, and Carbon Density in Conifer Tree Tissues
title_short Variation in Carbon Fraction, Density, and Carbon Density in Conifer Tree Tissues
title_full Variation in Carbon Fraction, Density, and Carbon Density in Conifer Tree Tissues
title_fullStr Variation in Carbon Fraction, Density, and Carbon Density in Conifer Tree Tissues
title_full_unstemmed Variation in Carbon Fraction, Density, and Carbon Density in Conifer Tree Tissues
title_sort variation in carbon fraction, density, and carbon density in conifer tree tissues
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2018-07-01
description We analyzed variations in three tree properties: tissue density, carbon fraction, and carbon density within bole tissues of nine Californian conifer species. Model performance for all three tree properties was significantly improved with the addition of covariates related to crown characteristics and position within the tree. This suggests that biomass and carbon mass estimates that rely on fixed wood density and carbon fraction may be inaccurate across tree sizes. We found a significant negative relationship between tissue density and carbon fraction within tree bole tissues, indicating that multiplying biomass by an average carbon fraction to obtain carbon mass is likely to lead to inaccurate estimates. Measured carbon fractions in tree tissues deviated from the widely used 0.5 value from a low of 1.4% to a high of 17.6%. Carbon fraction model parameters indicate the potential for an additional deviation from this 0.5 value of up to 2.7% due to the interaction between relative height and wood density. Applying measured carbon fractions to whole bole biomasses resulted in carbon mass estimates as much as 10.6% greater than estimates derived using the 0.5 value. We also found a significant, though modest, improvement in carbon fraction model estimates by assigning trees to groups based on tree bark characteristics.
topic carbon fraction
tissue density
conifer carbon mass estimation
mixed-effects model
url http://www.mdpi.com/1999-4907/9/7/430
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