Allometric equations for aboveground biomass estimation by size class for Pinus brutia Ten. trees growing in North and South Aegean Islands, Greece

Zianis, Dimitris; Xanthopoulos, Gavriil; Kalabokidis, Kostas; Kazakis, George; Ghosn, Dany; Roussou, Olga

doi:10.1007/s10342-010-0417-9

Cited by 50 publications

(47 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, for fierce intraspecific competition, we observed that the biomass allocated to the stem progressively increased, mainly at very high tree densities, whereas the biomass allocated to the crown concurrently decreased due to high intraspecific competition until the canopy completely closed. This tendency has been identified in previous studies as an adaptive mechanism to cope with strong competition in the juvenile phase (Zianis et al 2011).…”

Section: Discussionmentioning

confidence: 99%

Response of biomass allocation patterns to thinning in Pinus halepensis differs under dry and semiarid Mediterranean climates

Alfaro‐Sánchez

López‐Serrano

Rubio

et al. 2015

Annals of Forest Science

View full text Add to dashboard Cite

Abstract• Key message To implement adaptive management in post-fire-regenerated Aleppo pine forests, we developed specific biomass equations in two early-thinned climatically contrasting stands. We found thinning enlarged biomass components, although climate primarily constrained biomass accumulation and biomass allocation.• Context The increase in burnt surface by wildfires in the Mediterranean Basin has triggered the proliferation of large unmanaged forested areas, particularly Aleppo pine stands in drier and lower altitudinal areas. These young naturally regenerated stands require specific biomass models for accurate carbon stock quantification.• Aims The aim of this study is to analyse the effects of climate (dry vs. semiarid), age and forest management (early thinning) on biomass accumulation and biomass allocation of young Pinus halepensis components: stem, crown (crown wood, needles and cones) and roots.• Methods We sampled 251 individual Aleppo pine trees across an age sequence of 5-16 years old to develop component biomass equations.• Results We observed that biomass allocation differed with climate, age and tree density. The crown was the largest biomass fraction, followed by root fraction and stem fraction. At the most limiting site (semiarid climate), we found major reproductive efforts, which may be shaped by adaptive traits to recurrent fires or recurrent drought episodes.• Conclusion Climate was the first limiting factor to constrain biomass accumulation and biomass allocation. Thinning played a key role in promoting positive effects on biomass components at both sites, which were enlarged under less stressful site conditions (dry climate). These results may help managers understand how altering stand density promotes more resilient forests.

show abstract

Section: Discussionmentioning

confidence: 99%

Response of biomass allocation patterns to thinning in Pinus halepensis differs under dry and semiarid Mediterranean climates

Alfaro‐Sánchez

López‐Serrano

Rubio

et al. 2015

Annals of Forest Science

View full text Add to dashboard Cite

show abstract

“…N equation number, E modeling efficiency, R 2 coefficient of determination between the measured and estimated values, RMSE root-mean-square error Merino et al (2005) resulted in overestimations and underestimations of the branch biomass, possibly due to the absence of crown length and stand dominant height in these models to account for the effects of age, site quality, and competition on the crown development of the trees. The underestimation of branch biomass of the equation of Antonio et al (2007) exemplifies the problems commonly related in the literature (e.g., Bi et al 2004;Williams et al 2005;Zianis et al 2011;Smith et al 2014) related to extrapolate allometric biomass functions from one region to another one. This may be particularly pronounced for species covering a wide extension such as E. globulus and growing on an ample range of environmental conditions in the study area, resulting in potentially different biomass allocation patterns.…”

Section: Aboveground Biomass Allometries: Validationmentioning

confidence: 99%

Modeling the above and belowground biomass of planted and coppiced Eucalytpus globulus stands in NW Spain

Vega-Nieva

Valero

Picos

et al. 2015

Annals of Forest Science

View full text Add to dashboard Cite

show abstract

“…The bark biomass model used a logarithmic transformation and according some researchers (Baskerville, 1972;Wauters et al, 2008;Zianis et al, 2011), this may produce systematic underestimation of the dependent variable Y when converting the estimated log e Y back to the original scale Y. A correction factor should be used to correct this bias according to those researchers.…”

Section: Root Biomass Model and Bark Biomass Modelmentioning

confidence: 99%

“…Quercus variabilis Blume (Cork oak) is used for timber, cork, soil and water conservation, and is mainly distributed in the areas of Taihang Mountain and Yan Mountain in North China. A large number of biomass models of oak have been created in Europe, North America, Portugal, Spain, Greece, and China (Bao et al, 1984;Canadell et al, 1988;Zianis et al, 2005;Ter-Michaelian et al, 1997;Paulo and Tomé, 2010;Fonseca and Parresol, 2001;Tian et al, 1997;Zianis et al, 2011). In most models tree height (H), diameter at breast height (DBH) or their combination (d 2 h) are independent variables.…”

Section: Introductionmentioning

confidence: 99%

A single-tree additive biomass model of Quercus variabilis Blume forests in North China

Zheng

Mason

Jia

et al. 2015

Trees

View full text Add to dashboard Cite

Key message Fitting and comparing three sets of compatible biomass models for prediction of biomass or carbon stocks of natural and planted Quercus variabilis Blume forests.Abstract To make the sum of estimated values from biomass models of various components of a tree equal to estimated tree total biomass for Quercus variabilis Blume (cork oak) forests in North China, single-tree compatible biomass models were developed. 100 trees from 100 plots in North China were felled to obtain biomass of aboveground components, and roots of 19 of those trees were extracted for measurement of root biomass. After Box-Cox transformations of variables, two sets of independent component biomass models with a dummy variable in models to define stand origin were separately built using linear mixed effects analyses (one set of models with site as a random factor; the other set without any random factor). Then three methods were compared to force compatibility of the biomass models: sums of linear mixed effects models, sums of linear models, and simultaneous equation fits based on linear models. Model parameters were estimated by ordinary least squares (OLS) or seeming unrelated regression procedures (SUR). Coefficients of determination (r 2 ), root mean square error (Rmse), residuals plots and histograms of residuals indicated that models fitted with sums of linear mixed effects models were the least biased and most precise at estimating total above-ground biomass.Further testing for the linear mixed effects models with jackknife validation and prediction sum of squares (PRESS) statistics indicated that the compatible biomass models can be used to predict biomass or carbon stocks of cork oak forests in North China within specific tree diameter at breast height and height ranges.

show abstract

Allometric equations for aboveground biomass estimation by size class for Pinus brutia Ten. trees growing in North and South Aegean Islands, Greece

Abstract: Empirical allometric equations relating biomass of aboveground components to dendrometric variables for Pinus brutia Ten. trees are derived in this paper.

Cited by 50 publications

References 37 publications

Response of biomass allocation patterns to thinning in Pinus halepensis differs under dry and semiarid Mediterranean climates

Response of biomass allocation patterns to thinning in Pinus halepensis differs under dry and semiarid Mediterranean climates

Modeling the above and belowground biomass of planted and coppiced Eucalytpus globulus stands in NW Spain

A single-tree additive biomass model of Quercus variabilis Blume forests in North China

Contact Info

Product

Resources

About