Allometric biomass equations for young broadleaved trees in plantations in Romania

Blujdea, Viorel; Pilli, Roberto; Dutcă, Ioan; Ciuvăț, L.; Abrudan, I. V.

doi:10.1016/j.foreco.2011.09.042

Cited by 74 publications

(65 citation statements)

References 31 publications

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“…Although numerous studies exist dealing with the biomass productivity of black locust [19,20,31,34,35,37,38,64,72,73], the existing tools are very limited for quantifying the behavior of black locust in SRC in previous brown coal mining and agricultural areas. However, the benefit of Robinia pseudoacacia L. in SRC for our society, ecology, and economy lies in biomass and energy production, as well as carbon sequestration.…”

Section: Correlation Of Stand Parameter and Allometric Biomass Modelsmentioning

confidence: 99%

Allometric Models to Predict Aboveground Woody Biomass of Black Locust (Robinia pseudoacacia L.) in Short Rotation Coppice in Previous Mining and Agricultural Areas in Germany

Carl

Biber

Landgraf

et al. 2017

Forests

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Black locust is a drought-resistant tree species with high biomass productivity during juvenility; it is able to thrive on wastelands, such as former brown coal fields and dry agricultural areas. However, research conducted on this species in such areas is limited. This paper aims to provide a basis for predicting tree woody biomass for black locust based on tree, competition, and site variables at 14 sites in northeast Germany that were previously utilized for mining or agriculture. The study areas, which are located in an area covering 320 km × 280 km, are characterized by a variety of climatic and soil conditions. Influential variables, including tree parameters, competition, and climatic parameters were considered. Allometric biomass models were employed. The findings show that the most important parameters are tree and competition variables. Different former land utilizations, such as mining or agriculture, as well as growth by cores or stumps, significantly influenced aboveground woody biomass production. The new biomass models developed as part of this study can be applied to calculate woody biomass production and carbon sequestration of Robinia pseudoacacia L. in short rotation coppices in previous mining and agricultural areas.

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Section: Correlation Of Stand Parameter and Allometric Biomass Modelsmentioning

confidence: 99%

Allometric Models to Predict Aboveground Woody Biomass of Black Locust (Robinia pseudoacacia L.) in Short Rotation Coppice in Previous Mining and Agricultural Areas in Germany

Carl

Biber

Landgraf

et al. 2017

Forests

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show abstract

“…1-3) used in previous studies [2,14,[40][41][42]. Diameter at breast height was the main explanatory tree variable used to estimate the tree biomass components for all species.…”

Section: The Allometric Equationsmentioning

confidence: 99%

Allometric Equations for Estimation of Biomass and Carbon Stocks in Temperate Forests of North-Western Mexico

Vargas-Larreta¹,

López-Sánchez²,

Corral-Rivas³

et al. 2017

Preprint

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This paper presents new above-ground biomass (AGB) and biomass components equations for seventeen forest species in the temperate forests of northwestern Mexico. A data set corresponding to 1336 destructively sampled oak and pine trees was used to fit the models. Generalized method of moments was used to simultaneously fit systems of equations for biomass components and AGB, to ensure additivity. Additionally, the carbon content of each tree component was calculated by the dry combustion method, in a TOC analyser. The fitted equations accounted for on average 91, 83, 84 and 78% of the observed variance in stem wood and stem bark, branch and foliage biomass, respectively, whereas the total AGB equations explained on average 93% of the total observed variance in AGB. The inclusion of h or d 2 h as additional predictor in the d-only based equations systems slightly improved estimates of stem wood, stem bark and total above-ground biomass, and greatly improved the estimates produced by the branch and foliage biomass equations. The fitted equations were used to estimate AGB stocks at stand level from a database on growing stock from 429 permanent sampling plots. Three machine-learning techniques were used to model the estimated stand level AGB and carbon contents; the selected models were applied to map the AGB and carbon distributions in the study area, which yielded mean values of 129.84 Mg ha -1 and 63.80 Mg ha -1 , respectively.

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“…Basuki et al (2009) described that the establishment of allometric equations is related to the biophysical properties of trees, namely diameter at breast height (DBH), wood density and height. Several researchers formulated equations for the determination of biomass (Kato et al, 1978;Chambers et al, 2001;Chave et al, 2005;Kenzo et al, 2009;Blujdea et al, 2012,). Researchers such as Hamdan et al (2011);Hamdan et al (2014); Morel et al (2011);Saner et al (2012); Sato et al (2013) applied the established equations to calculate the forest biomass.…”

Section: Allometric Regression Model Equationsmentioning

confidence: 99%

Carbon Stocking in the Natural Forests – The Case of Malaysia

Ratnasingam

Ramasamy

Toong

et al. 2015

Not Bot Hort Agrobot Cluj

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Forested land in the world is about 28% of the global land area, accounting for 80% of the terrestrial carbon stored as biomass and soil organic carbon. Human activities, namely fossil fuel combustion and deforestation resulted in anthropogenic emissions into the atmosphere. Deforestation is being focused in this study in view of the role of forests as carbon stocks. Carbon is normally referred to as biomass of the tree. Several studies revealed that carbon is mostly sequestered in the aboveground part of biomass. As Southeast Asia has the highest level of deforestation, this study focused on observing carbon stocks in Malaysian forests. The conducted estimation of forest carbon stocks reveals carbon stock increment owing to the increment in the forested land. Yet, the forest transition process necessary for expanding the areas of forested land appears to be difficult to achieve. The economic development in the agricultural sector, land conversion for industrialization and settlement, expansion of wood-based industry and employment opportunities in the wood-based sector may hamper forest transition.

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Allometric biomass equations for young broadleaved trees in plantations in Romania

Cited by 74 publications

References 31 publications

Allometric Models to Predict Aboveground Woody Biomass of Black Locust (Robinia pseudoacacia L.) in Short Rotation Coppice in Previous Mining and Agricultural Areas in Germany

Allometric Models to Predict Aboveground Woody Biomass of Black Locust (Robinia pseudoacacia L.) in Short Rotation Coppice in Previous Mining and Agricultural Areas in Germany

Allometric Equations for Estimation of Biomass and Carbon Stocks in Temperate Forests of North-Western Mexico

Carbon Stocking in the Natural Forests – The Case of Malaysia

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