Evaluating sampling designs and deriving biomass equations for young plantations of poplar and willow clones

Lupi, Carlo; Larocque, Guy R.; DesRochers, Annie; Labrecque, Michel; Mosseler, Ale×; Major, John E.; Beaulieu, Jean; Tremblay, Francine; Gordon, Andrew; Thomas, Barb R.; Vézina, André; Bouafif, Hassine; Cormier, Denis; Sidders, Derek; Krygier, Richard; Thevathasan, Naresh V.; Riopel, Martin; Ferland-Raymond, Bastien

doi:10.1016/j.biombioe.2015.09.019

Cited by 9 publications

(6 citation statements)

References 43 publications

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“…Large prediction bias was equally observed when branch biomass was estimated using allometric equations developed in other studies with similar or different genetic material from the Populus genus [11]. These observations are not surprising given the many factors that are known to influence allometric relationships between DBH and compartment biomass or volume in hybrid poplars, including plantation environment or site fertility [12,13], genotype or clone family [3,[14][15][16], tree age [3], and the presence of diseases, such as leaf rust [14,17]. The choice of analytical procedures used to develop biomass equations can also influence allometric equation parameters, and consequently the predicted values [10,18].…”

Section: Introductionmentioning

confidence: 72%

Allometric Equations for Estimating Compartment Biomass and Stem Volume in Mature Hybrid Poplars: General or Site-Specific?

Fortier¹,

Truax²,

Gagnon³

2017

Forests

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Abstract:We evaluated the extent to which general or site-specific allometric equations, using diameter at breast height (DBH) as a predictor, are more accurate for estimating stem volume, stem biomass, branch biomass, aboveground woody biomass, and coarse root biomass in 14 year-old plantations of Populus canadensis × Populus maximowiczii (clone DN × M-915508) located along an environmental gradient in southern Québec (eastern Canada). The effect of tree size and site on stem wood basic density, moisture content, and proportion of branch biomass was also evaluated. For stem volume, stem biomass, and aboveground biomass, site-specific and general models had comparable fit and accuracy, but lower Akaike's Information Criterion (AICc) values were observed for the general models. For the branch and coarse root biomass, higher fit and accuracy and lower AICc values were observed for the site-specific models. Allometric trajectory changes (plastic allometry) across sites were mainly observed for coarse root biomass, branch biomass, and stem volume. On the low fertility site, allocation was increased to coarse roots and decreased to stem volume. Site-specific tradeoffs between tree architecture and stem wood density explained the relatively invariant allometry for the whole aboveground woody biomass across the plantation sites. On the high fertility sites, basic wood density was the lowest and declined as tree DBH increased. At all sites, stem wood moisture content and the proportion of branch biomass increased with DBH. Overall, this study showed that biomass allometry, tree architecture, and biomass quality are a function of both tree size and plantation environment in hybrid poplar. Allometric model selection (site-specific or general) should depend on the objective pursued (evaluation of yield, nutrient budget, carbon stocks).

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Section: Introductionmentioning

confidence: 72%

Allometric Equations for Estimating Compartment Biomass and Stem Volume in Mature Hybrid Poplars: General or Site-Specific?

Fortier¹,

Truax²,

Gagnon³

2017

Forests

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“…Com a maior proximidade entre as árvores, aos 33 anos, a quebra dos galhos das árvores remanescentes durante a realização dos desbastes foi mais intensa, assim como o aumento da própria desrama natural. O mesmo comportamento foi observado por Lupi et al (2015) para plantios homogêneos de Populus sp. e Salix sp., ou seja, quanto maior o número de indivíduos por unidade de área, menor é o acúmulo de biomassa por indivíduo.…”

Section: Resultsunclassified

“…Com base nas melhores correlações obtidas pela Tabela 3, foi feita a estimativa da oferta de biomassa, em massa, em função das variáveis dendrométricas, que foram o DAP e a altura total das árvores (Tabela 4), que são de fácil determinação no campo e têm sido tradicionalmente usadas em estudos de quantificação (LUPI et al, 2015). Castro et al (2017) enfatizam em seu trabalho sobre quantificação de biomassa na produção de carvão vegetal, sobre a falta de equações alométricas específicas para estimar a disponibilidade de biomassa em povoamentos com espécies e de regiões distintos e facilitar a tomada de decisão, o que ainda requer o uso de amostragens destrutivas.…”

Section: Resultsunclassified

Estimativa da oferta de biomassa florestal em povoamentos de <i>Pinus taeda</i> L. após intervenções culturais

Ferreira

Stähelin²,

Jesus

et al. 2019

Ciênc. Florest.

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Com a determinação do quanto de biomassa florestal é gerada após as intervenções culturais é possível definir as áreas passíveis de exploração. Com isso, o objetivo do trabalho foi quantificar e estimar a oferta de biomassa de Pinus taeda L. disponível após as intervenções culturais. O experimento foi realizado em reflorestamentos nos municípios dos estados do Paraná e Santa Catarina, com idades de 3 anos (primeira desrama), 5 anos (segunda desrama), 7 anos (terceira desrama), 11 anos (primeiro desbaste) 19 anos (segundo desbaste), 23 e 33 anos (cortes rasos). Para cada idade foram amostradas 10 árvores e quantificados os componentes acículas, galhos, ponteira e casca. Após o corte raso, aos 23 anos houve maior disponibilidade de biomassa individual (372,6 kg.árv-1) e por unidade de área (144,4 t.ha-1), sendo composto principalmente por galhos (69,3%), seguido das acículas (17,9%), casca (11,0%) e ponteira (1,8%) por unidade de área. A correlação entre a massa dos componentes da biomassa por árvore e as variáveis independentes foi significativa e superior a 0,52. A menor correlação foi observada entre estas e a quantidade ofertada de ponteiras. Os modelos de regressão selecionados para estimar a massa de biomassa em função das variáveis independentes tiveram R²aju superiores a 83%, baixos desvios padrões e coeficientes de variação.

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“…These types of plantations have various objectives, such as alleviating the contradiction between ecology and economy, estimating carbon accumulation, shortening the cycle of timber production management, prompting to produce biomass for bioenergy production, and providing the material for the production of wood pulp, feed, and biomass fuels by short-rotation management [3][4][5][6][7]. Not surprisingly, then, many researchers worldwide are exploring the biomass production potentials of fast-growing tree species [6][7][8][9]. Poplar is one of the most important tree species on earth due to its fast growth, strong adaptability, easy reproduction, and extensive use; thus, it is widely used to produce energy, fuelwood, pulp, and agricultural protection forests in China [10,11].…”

Section: Introductionmentioning

confidence: 99%

Biomass and Volume Modeling along with Carbon Concentration Variations of Short-Rotation Poplar Plantations

Dong

Widagdo

Xie

et al. 2020

Forests

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Short-rotation forestry is of interest to provide biomass for bioenergy and act as a carbon sink to mitigate global warming. The Poplar tree (Populus × xiaohei) is a fast-growing and high-yielding tree species in Northeast China. In this study, a total of 128 Populus × xiaohei trees from the Songnen Plain, Heilongjiang Province, Northeastern China, were harvested. Several available independent variables, such as tree diameter at breast height (D), tree’s total height (H), crown width (CW), and crown length (CL), were differently combined to develop three additive biomass model systems and eight stem volume models for Populus × xiaohei tree. Variance explained within the three additive biomass model systems ranged from 83% to 98%, which was lowest for the foliage models, and highest for the stem biomass models. Similar findings were found in the stem volume models, in which the models explained more than 94% of the variance. The additional predictors, such as H, CL, or CW, evidently enhanced the model fitting and performance for the total and components biomass along with the stem volume models. Furthermore, the biomass conversion and expansion factors (BCEFs) of the root (118.2 kg/m3), stem (380.2 kg/m3), branch (90.7 kg/m3), and foliage (31.2 kg/m3) were also calculated. The carbon concentrations of Populus × xiaohei in root, stem, branch, and foliage components were 45.98%, 47.74%, 48.32%, and 48.46%, respectively. Overall, the newly established models in this study provided complete and comprehensive tools for quantifying the biomass and stem volume of Populus × xiaohei, which might be essential to be specifically utilized in the Chinese National Forest Inventory.

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Evaluating sampling designs and deriving biomass equations for young plantations of poplar and willow clones

Cited by 9 publications

References 43 publications

Allometric Equations for Estimating Compartment Biomass and Stem Volume in Mature Hybrid Poplars: General or Site-Specific?

Allometric Equations for Estimating Compartment Biomass and Stem Volume in Mature Hybrid Poplars: General or Site-Specific?

Estimativa da oferta de biomassa florestal em povoamentos de <i>Pinus taeda</i> L. após intervenções culturais

Biomass and Volume Modeling along with Carbon Concentration Variations of Short-Rotation Poplar Plantations

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