Aboveground tree biomass of Araucaria araucana in southern Chile: measurements and multi-objective optimization of biomass models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F21%3A43919275" target="_blank" >RIV/62156489:43410/21:43919275 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3832/ifor3492-013" target="_blank" >https://doi.org/10.3832/ifor3492-013</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3832/ifor3492-013" target="_blank" >10.3832/ifor3492-013</a>

Result language

angličtina

Original language name

Aboveground tree biomass of Araucaria araucana in southern Chile: measurements and multi-objective optimization of biomass models

Original language description

Estimating carbon stocks in wooded systems is crucial to quantify national greenhouse gas balance estimates. However, inaccurate estimates are likely due to the divergent architecture of many species. The monkey puzzle tree Araucaria araucana, with its umbrella-like architecture is a vivid example. This species, often found in monodominant stands at high elevations, is the greatest carbon reservoir in the landscape, hence estimating its carbon storage is crucial. To provide the necessary basis for these estimations, we documented the variation in basic density and moisture content along the stem profile, identified the most suitable biomass estimation models, and quantified biomass allocation for three age ranges. We measured, felled, weighed, and separated trees into three categories: stem wood, stem bark, and foliage (branches + scaly leaves). The log-linear form of the simple allometric equation Y = aXb, based on diameter at breast height as the explanatory variable, covered a large part of the variation and showed good cross-validation performance (&gt;0.96). Models using more covariates achieved lower absolute errors, but the estimation of the additional model parameters was associated with greater uncertainty. A multi-objective model comparison revealed that the best additional covariate to further improve biomass estimation was total tree height. The mean absolute percentage error was 9.8% for the total aboveground biomass, 8% for stem wood, 12% for stem bark and 24% for foliage. Changes in biomass distribution among tree components were related to age. For older trees, there was a relative increase in stem wood, a decreased proportion of foliage, but no change in stem bark. The proportion of stem bark biomass is similar to that of Araucaria angustifolia, but higher than in other conifers and most trees in general. Our results provide key properties for A. araucana and general guidance for the selection of easily-measurable variables allowing for excellent predictive power for local biomass estimation.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

40102 - Forestry

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

iForest

ISSN

1971-7458

e-ISSN

—

Volume of the periodical

14

Issue of the periodical within the volume

1

Country of publishing house

IT - ITALY

Number of pages

10

Pages from-to

61-70

UT code for WoS article

000623171800001

EID of the result in the Scopus database

2-s2.0-85102523095