Effects of environment and progeny on biomass estimations of five hybrid poplar families grown at three contrasting sites across Europe

Dillen, Sophie Y.; Marron, Nicolas; Bastien, Catherine; Ricciotti, Luca; Salani, Francesco; Sabatti, Maurizio; Pinel, Matthieu P.C. PinelM.P.C.; Rae, Anne M.; Taylor, Gail; Ceulemans, R.

doi:10.1016/j.foreco.2007.06.003

Cited by 52 publications

(36 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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: 67%

“…Most field studies that have attempted to isolate the effect of plantation site on hybrid poplar biomass allometry were confronted with confounding factors (different stand ages, presence of a damaging agent at one site but not at the others, multi-clone sampling) [12][13][14]. Such confounding factors weaken conclusions related to potential allometry changes across sites or environmental gradients.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the question to which extent general or site-specific allometric equations are more accurate for estimating the volume and compartment biomass of a given clone, after a given time period, remains unanswered. Such a question is legitimate given the great demand for more generalized biomass equations, which could reduce labor and costs related to biomass prediction [14]. While biomass allometry varied with site in commercial willow plantations in Sweden, generalized models had prediction errors of less than 10% when compared to site-specific models; an error margin sufficient for management decisions [29,35].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Fortier¹,

Truax²,

Gagnon³

2017

Forests

View full text Add to dashboard Cite

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).

show abstract

Section: Introductionmentioning

confidence: 67%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Fortier¹,

Truax²,

Gagnon³

2017

Forests

View full text Add to dashboard Cite

show abstract

“…When more than one component is considered, it is desirable that the biomass equations have the property of additivity, that is, that the predictions for the tree components (stem and branches) sum to the prediction for the total tree (Parresol, 1999). However, many published biomass equations of poplar short-rotation coppice were not additive (see for example Dillen et al, 2007;Dowell et al, 2009;Zabek and Prescott, 2006). The traditional methods for forcing additivity of component biomass equations to sum to total tree mass can be grouped into three categories, according to the form of the prediction equations: linear (with additive error), non-linear (with additive error) and non-linear (with multiplicative error).…”

Section: Introductionmentioning

confidence: 99%

“…Biomass allocation patterns (stem and branches) di↵er among genotypes, but the environment also has a notable e↵ect. Some authors (Dillen et al, 2007;Pontailler et al, 1997) have reported that the genotype e↵ect is dominant over the environmental e↵ect with regard to biomass production so, clone-specific models are more suitable for biomass estimations (in this study, we take this into account by using factor-by-surface interactions).…”

Section: Introductionmentioning

confidence: 99%

Smooth additive mixed models for predicting aboveground biomass

Sánchez-González¹,

Durbán

Lee

et al. 2016

JABES

View full text Add to dashboard Cite

Aboveground biomass estimation in short-rotation forestry plantations is an essential step in the development of crop management strategies as well as allowing the economic viability of the crop to be determined prior to harvesting. Hence, it is important to develop new methodologies that improve the accuracy of predictions, using only a minimum set of easily obtainable information i.e. diameter and height. Many existing models base their predictions only on diameter (mainly due to the complexity of including further covariates), or rely on complicated equations to obtain biomass predictions. However, in tree species, it is important to include height when estimating aboveground biomass because this will vary from one genotype to another. This work proposes the use of a more flexible and easy to implement model for predicting aboveground biomass (stem, branches and total) as a smooth function of height and diameter using smooth additive mixed models which preserve the additive property necessary to model the relationship within wood fractions, and allows the inclusion of random e↵ects and interaction terms. The model is applied to the analysis of three trials carried out in Spain, where nine clones at three di↵erent sites are compared. Also, an analysis of slash pine data is carried out in order to compared with the approach proposed by Parresol (2001)

show abstract