2011
DOI: 10.3390/f2030749
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A Flexible Hybrid Model of Life Cycle Carbon Balance for Loblolly Pine (Pinus taeda L.) Management Systems

Abstract: 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 evaluat… Show more

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Cited by 37 publications
(20 citation statements)
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“…Besides, forest rotation period could also have an influence on the carbon emissions in the forestry process, and thus it can have an impact on the carbon footprint in the forestry process. Gonzalez-Benecke et al [33] estimated a total carbon cost of 0.8536 tC/ha in the forestry process with the rotation period of 22 years, lower than our estimate of 1.59 tC/ha during one rotation period of 41 years. Therefore, it could be very important for comparing different research results in the future to have the same system boundary and methods used in life cycle inventory and carbon footprints.…”
Section: Comparative Analysiscontrasting
confidence: 51%
“…Besides, forest rotation period could also have an influence on the carbon emissions in the forestry process, and thus it can have an impact on the carbon footprint in the forestry process. Gonzalez-Benecke et al [33] estimated a total carbon cost of 0.8536 tC/ha in the forestry process with the rotation period of 22 years, lower than our estimate of 1.59 tC/ha during one rotation period of 41 years. Therefore, it could be very important for comparing different research results in the future to have the same system boundary and methods used in life cycle inventory and carbon footprints.…”
Section: Comparative Analysiscontrasting
confidence: 51%
“…Using the raw data from 764 measured trees, we adapted the models reported by Gonzalez-Benecke et al (2014b) and produced alternative functions to estimate initial biomass pools. The parameter estimates and relationships presented in this study have a wide range of applicability, and not only for 3-PG 29 initialization, but also life-cycle analysis (Puettmann et al, 2010), and estimation of stand biomass and carbon sequestration dynamics (Gonzalez-Benecke et al, 2011). Landsberg and Sands (2011) remarked that relationships used for biomass allocation deserved further research.…”
mentioning
confidence: 82%
“…As it has been documented that SG differs between trees growing in the United States and South America (Higa et al, 1973;Barrichelo et al, 1977), we developed separate models for each geographic location. For trees growing in the southeastern U.S. we used the data reported by Gonzalez-Benecke et al (2011) and fitted a new model that maintained parsimony with the 3-PG model structure. For trees growing in South America (Argentina, Brazil and Uruguay), we used data reported by Higa et al (1973), Barrichelo et al (1977), Pereyra andGelid (2002), Weber (2005), Von Wallis et al (2007), Pezzutti (2011) and Barth et al (2013).…”
Section: Wood Specific Gravitymentioning
confidence: 99%
“…This estimate is conservative, as some studies indicate near 100% compensation (e.g. Gonzalez‐Benecke et al ., , ; Jonker et al ., ). Mass fractions of the different products orginating from softwood plantations (saw wood, small roundwood, etc.…”
Section: Methodsmentioning
confidence: 99%