Temporal variations and distribution of carbon stocks in aboveground biomass of radiata pine and maritime pine pure stands under different silvicultural alternatives

Balboa-Murias, Miguel Ángel; Rodríguez‐Soalleiro, Roque; Merino, Agustı́n; González, Juan Gabriel Álvarez

doi:10.1016/j.foreco.2006.09.024

Cited by 130 publications

(90 citation statements)

References 39 publications

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“…Similar responses have been reported for slash pine [14], Pinus radiata D. Don and Pinus pinaster Ait. [76]. Across the silvicultural regimes evaluated there were similar changes in in situ C stocks, but ex situ C storage was largely affected by site quality changes and longer rotation lengths oriented toward sawtimber production.…”

Section: Discussionmentioning

confidence: 82%

“…Most of the studies that have addressed the impacts of thinning on C budgets in pine ecosystems have reported the responses only on living pine biomass [76,[85][86][87][88]; few studies have reported the impacts of thinning on total in situ C [89][90][91][92]. All the previously cited studies concluded that there was a reduction in pine stand or total in situ C after thinning.…”

Section: Discussionmentioning

confidence: 99%

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A Flexible Hybrid Model of Life Cycle Carbon Balance for Loblolly Pine (Pinus taeda L.) Management Systems

Gonzalez‐Benecke

Martin

Jokela

et al. 2011

Forests

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Abstract:In this study we analyzed the effects of silvicultural treatments on carbon (C) budgets in Pinus taeda L. (loblolly pine) plantations in the southeastern United States. We developed a hybrid model that integrated a widely used growth and yield model for loblolly pine with published allometric and biometric equations to simulate in situ C pools. The model used current values of forest product conversion efficiencies and forest product decay rates to calculate ex situ C pools. Using the model to evaluate the effects of silvicultural management systems on C sequestration over a 200 year simulation period, we concluded that site productivity (site quality), which can be altered by silviculture and genetic improvement, was the major factor controlling stand C density. On low productivity sites, average net C stocks were about 35% lower than in stands with the default average site quality; in contrast, on high quality sites, C stocks were about 38% greater than average productivity stands. If woody products were incorporated into the accounting, thinning was C positive because of the larger positive effects on ex situ C storage, rather than smaller reductions on in situ C storage. The use of biological rotation age (18 years) was not suitable for C sequestration, and extended rotation ages were found to increase stand C stock density. Stands with an 18-year-rotation length had 7% lower net C density than stands with a 22-year-rotation length; stands with a 35-year-rotation length had only 4% more C than stands harvested at age 22 years. The C sequestered in woody products was an important pool of C storage, accounting for ~34% of the average net C stock. Changes in decomposition rate, associated with possible environmental changes OPEN ACCESSForests 2011, 2 750 resulting from global climate change, affected C storage capacity of the forest. When decay rate was reduced to 10% or increased to 20%, the C stock in the dead pool (forest floor and coarse woody debris) was reduced about 11.8 MgC·ha −1 or increased about 13.3 MgC·ha −1 , respectively, compared to the average decay rate of 15%. The C emissions due to silvicultural and harvest activities were small (~1.6% of the gross C stock) compared to the magnitude of total stand C stock. The C model, based on empirical and biological relationships, appears appropriate for use in regional C stock assessments for loblolly pine plantation ecosystems in the southern U.S.

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Section: Discussionmentioning

confidence: 82%

Section: Discussionmentioning

confidence: 99%

A Flexible Hybrid Model of Life Cycle Carbon Balance for Loblolly Pine (Pinus taeda L.) Management Systems

Gonzalez‐Benecke

Martin

Jokela

et al. 2011

Forests

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“…Total volume estimation implied estimation of total height of the trees not directly measured using the generalized heightdiameter relationship locally developed by SevillanoMarco et al (2009). The computation of aboveground tree biomass fractions was determined by applying allometric relationships developed by Balboa-Murias et al (2006) for the species in Galicia using destructive sampling methods. Carbon pools in tree biomass were esti mated by fra ctions as a percent age of the corresponding aboveground dry biomass using the reference found for radiata pine by Ibáñez et al (2002) which states 49.7 g C for every 100 g of dry wood.…”

Section: Field Data Processingmentioning

confidence: 99%

CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (North-western Spain)

Sevillano-Marco¹,

Fernández–Manso²,

Quintano

et al. 2013

CERNE

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A Chinese-Brazilian Earth Resources Satellite (CBERS) and an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) scenes coupled with ancillary georeferenced data and field survey were employed to examine the potential of the remote sensing data in stand basal area, volume and aboveground biomass assessment over large areas of Pinus radiata D. Don plantations in Northwestern Spain. Statistical analysis proved that the near infrared band and the shade fraction image showed significant correlation coefficients with all stand variables considered. Predictive models were accordingly selected and utilized to undertake the spatial distribution of stand variables in radiata stands delimited by the National Forestry Map. The study reinforces the potentiality of remote sensing techniques in a cost-effective assessment of forest systems.Key words: Conifers, remote sensing, biomass. DADOS CCD CBERS E ASTER

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“…Moreover, compatible biomass modelling systems have been proposed and applied to ensure compatibility between total biomass models and component biomass models. Researchers have developed two principal ways of creating compatible biomass models: (1) the total biomass regression function is defined as the sum of separately calculated best regression functions of component biomasses; (2) joint-generalized least squares regression, like seemingly unrelated regressions (SUR), two-stage least-squares methods (2SLS) , three-stage least-squares methods (3SLS) and generalized method of moments (GMM) (António et al, 2007;Balboa-Murias et al, 2006;Bi et al, 2010;Brandeis et al, 2006;Castedo-Dorado et al, 2012;Gómez-García et al, 2013;Gómez-García et al, 2014;Hasenauer et al, 1998;Carvalho and Parresol, 2003;Li and Zhao, 2013;Menéndez-Miguélez et al, 2013;Parresol, 1999Parresol, , 2001Ruiz-Peinado et al, 2011;Shaiek et al, 2011).…”

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

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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.

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Temporal variations and distribution of carbon stocks in aboveground biomass of radiata pine and maritime pine pure stands under different silvicultural alternatives

Cited by 130 publications

References 39 publications

A Flexible Hybrid Model of Life Cycle Carbon Balance for Loblolly Pine (Pinus taeda L.) Management Systems

A Flexible Hybrid Model of Life Cycle Carbon Balance for Loblolly Pine (Pinus taeda L.) Management Systems

CCD CBERS and ASTER data in dasometric characterization of Pinus radiata D. Don (North-western Spain)

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

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