Carbon sequestration potential of forest land: Management for products and bioenergy versus preservation

Deusen, Paul Van

doi:10.1016/j.biombioe.2010.03.007

Cited by 24 publications

(14 citation statements)

References 14 publications

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“…It is claimed that the most efficient carbon mitigation policy from a forest biomass point of view is to log productive forests at optimum age classes in order to substitute more energy intensive materials (Marland and Marland, 1992;Marland and Schlamadinger, 1997;Solberg, 1997;Perez-Garcia et al, 2005;Raymer et al, 2009;Pingoud et al, 2010;Sathre and O'Connor, 2010). The largest carbon pools are achieved when forest management is made in consideration with long lived products (Deusen, 2010). Long lived products can be cascaded into other materials that further substitute energy demanding materials and finally into energy and fuels.…”

Section: Reasons For Variations In Climate Change Resultsmentioning

confidence: 98%

Environmental impacts and costs of woody Biomass-to-Liquid (BTL) production and use — A review

Sunde

Brekke

Solberg

2011

Forest Policy and Economics

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Section: Reasons For Variations In Climate Change Resultsmentioning

confidence: 98%

Environmental impacts and costs of woody Biomass-to-Liquid (BTL) production and use — A review

Sunde

Brekke

Solberg

2011

Forest Policy and Economics

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“…In fact, forest biomass that is currently used for energy frequently comes from material that would decay quickly if left in the forest (e.g., logging residues) [17]. Thus, forests that are managed for biomass alone or managed for both conventional wood products and biomass co-products may result in climate benefits [18,19]. Potential residue feedstocks include limbs and tops, small-diameter trees, downed logs, stumps, shrubs and litter/duff material that would otherwise remain in the forest after a timber harvest.…”

Section: Introductionmentioning

confidence: 99%

Harvesting Carbon from Eastern US Forests: Opportunities and Impacts of an Expanding Bioenergy Industry

Davis

Dietze

DeLucia

et al. 2012

Forests

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Eastern forests of the US are valued both as a carbon sink and a wood resource. The amount of biomass that can be harvested sustainably from this biome for bioenergy without compromising the carbon sink is uncertain. Using past literature and previously validated models, we assessed four scenarios of biomass harvest in the eastern US: partial harvests of mixed hardwood forests, pine plantation management, short-rotation woody cropping systems, and forest residue removal. We also estimated the amount and location of abandoned agricultural lands in the eastern US that could be used for biomass production. Greater carbon storage was estimated to result from partial harvests and OPEN ACCESSForests 2012, 3 371 residue removals than from plantation management and short-rotation cropping. If woody feedstocks were cultivated with a combination of intensive management on abandoned lands and partial harvests of standing forest, we estimate that roughly 176 Tg biomass y −1 (~330,000 GWh or ~16 billion gallons of ethanol) could be produced sustainably from the temperate forest biome of the eastern US. This biomass could offset up to ~63 Tg C y −1 that are emitted from fossil fuels used for heat and power generation while maintaining a terrestrial C sink of ~8 Tg C y −1.

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“…Forest inventory information such as diameter at breast height (DBH), tree height (h), species, basal area and volume are critical to assessing the potential of wild fire hazard [1], obtaining and validating aboveground biomass, calculating forest ecosystem services and assessing carbon sequestration strategies for sustainable management [2][3][4]. Forest inventory has facilitated studies and research not only regarding the economic aspects of forest management, such as timber product sale or revenue earnings [5]; but also the ecological aspects including wildlife habitat [6,7], forest stability, ecosystem services [8,9] and natural biodiversity conservation [10].…”

Section: Introductionmentioning

confidence: 99%

Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest

2011

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Abstract:We present the point cloud slicing (PCS) algorithm, to post process point cloud data (PCD) from terrestrial laser scanning (TLS). We then test this tool for forest inventory application in urban heterogeneous forests. The methodology was based on a voxel data structure derived from TLS PCD. We retrieved biophysical tree parameters including diameter at breast height (DBH), tree height, basal area, and volume. Our results showed that TLS-based metrics explained 91.17% (RMSE = 9.1739 cm, p < 0.001) of the variation in DBH at individual tree level. Though the scanner generated a high-density PCD, only 57.27% (RMSE = 0.7543 m, p < 0.001) accuracy was achieved for predicting tree heights in these very heterogeneous stands. Furthermore, we developed a voxel-based TLS volume estimation method. Our results showed that PCD generated from TLS single location scans only captures 18% of the total tree volume due to an occlusion effect; yet there are significant relationships between the TLS data and field measured parameters for DBH and height, giving promise to the utility of a side scanning approach. Using our method, a terrestrial LiDAR-based inventory, also applicable to mobile-or vehicle-based laser scanning (MLS or VLS), was produced for future calibration of Aerial Laser Scanning (ALS) data and urban forest canopy assessments. OPEN ACCESSRemote Sens. 2012, 4 2

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Carbon sequestration potential of forest land: Management for products and bioenergy versus preservation

Cited by 24 publications

References 14 publications

Environmental impacts and costs of woody Biomass-to-Liquid (BTL) production and use — A review

Environmental impacts and costs of woody Biomass-to-Liquid (BTL) production and use — A review

Harvesting Carbon from Eastern US Forests: Opportunities and Impacts of an Expanding Bioenergy Industry

Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest

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