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

iForest: Biogeosciences and Forestry

article

Erico Kutchartt¹  Jorge Gayoso²  Francesco Pirotti¹  Álvaro Bucarey²  Javier Guerra³  Jaime Hernández⁴  Patricio Corvalán⁴  Karel Drápela⁵  Mark Olson⁶  Martin Zwanzig⁷ 

[1] Department of Land, Environment, Agriculture and Forestry, TESAF, University of Padova, v. dell’Università 16;Instituto de Bosques y Sociedad, IBOS, Universidad Austral de Chile, Campus Isla Teja;Campo Digital GIS and Remote Sensing;Departamento de Gestión Forestal y su Medio Ambiente, Universidad de Chile;Department of Forest Management and Applied Geoinformatics, FFWT, Mendel University in Brno;Instituto de Biología, Universidad Nacional Autónoma de México, Tercer Circuito s/n de Ciudad Universitaria;Department of Forest Sciences, Institute of Forest Growth and Forest Computer Sciences, Technische Universität Dresden

关键词: Monkey Puzzle Tree;    Carbon Stocks;    Forest Modelling;    Multicriteria Optimization;    Allometry;   

DOI  :  10.3832/ifor3492-013

学科分类：社会科学、人文和艺术（综合）

来源: Societa Italiana di Selvicoltura ed Ecologia Forestale (S I S E F)

【 摘 要 】

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 = aXb0.96). 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.

【 授权许可】

Unknown