Data from: Carbon content of tree tissues: a synthesis
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https://datadryad.org/dataset/doi:10.5061/dryad.69sg2
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Assessing the potential for forest carbon (C) capture and storage requires
accurate assessments of C in live tree tissues. In the vast majority of
local, regional, and global assessments, C content has been assumed to be
50% of tree biomass; however, recent studies indicate that this assumption
is not accurate, with substantial variation in C content among tree
species as well as among tissue types. Here we conduct a comprehensive
literature review to present a global synthesis of C content in tissues of
live trees. We found a total of 253 species-specific stem wood C content
records owing to 31 studies, and an additional 34 records of species with
C content values of other tissues in addition to stem wood. Stem wood C
content varied significantly as a function of biome (tropical,
subtropical/ Mediterranean, temperate/ boreal) and species type (conifer,
angiosperm). Conifer species exhibited greater wood C content than
angiosperm species (50.8 ± 0.7% (95% C.I.) vs. 47.7 ± 0.3%, respectively),
a trend that was consistent among all biomes. Although studies have
documented differences in C content among plant tissues, interspecific
differences in stem wood appear to be of greater importance overall: among
species, stem wood C content explained 37, 76, 48, 81, and 63%
respectively of the variation in bark, branch, twig, coarse root, and fine
root C content values, respectively. In each case, these intraspecific
patterns approximated 1:1 linear relationships. Most published stem wood C
content values (and all values for other tree tissues) are based on dried
wood samples, and so neglect volatile C constituents that constitute on
average 1.3 – 2.5% of total C in live wood. Capturing this volatile C
fraction is an important methodological consideration for future studies.
Our review, and associated data compilation, provides empirically
supported wood C fractions that can be easily incorporated into forest C
accounting, and may correct systematic errors of ~1.6 – 5.8% in forest C
assessments.
提供机构:
Dryad
创建时间:
2012-05-18



