Biomass expansion factors (BEFs) for Scots pine, Norway spruce and birch according to stand age for boreal forests

Lehtonen, Aleksi

doi:10.1016/s0378-1127(03)00384-0

Cited by 119 publications

(226 citation statements)

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“…The timber volume outputs from MOTTI were transformed into biomass using biomass expansion factors (BEFs) that are specific for tree species and stand age (Lehtonen et al 2004). For the carbon stored in living wood, the tree components considered were: stem, stumps, foliage, branches, bark and transportation roots.…”

Section: Carbon Biomass Stored In Living Wood Dead Wood and In Extramentioning

confidence: 99%

Managing a boreal forest landscape for providing timber, storing and sequestering carbon

et al. 2015

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Human well-being highly depends on ecosystem services and this dependence is expected to increase in the future with an increasing population and economic growth. Studies that investigate trade-offs between ecosystem services are urgently needed for informing policy-makers. We examine the trade-offs between a provisioning (revenues from timber selling) and regulating (carbon storage and sequestration) ecosystem services among seven alternative forest management regimes in a large boreal forest production landscape. First, we estimate the potential of the landscape to produce harvest revenues and store/sequester carbon across a 50-year time period. Then, we identify conflicts between harvest revenues and carbon storage and sequestration. Finally, we apply multiobjective optimization to find optimal combinations of forest management regimes that maximize harvest revenues and carbon storage/sequestration. Our results show that no management regime alone is able to either maximize harvest revenues or carbon services and that a combination of different regimes is always necessary. We also show that with a relatively little economic investment (5% decrease in harvest revenues), a substantial increase in carbon services could be attained (9% for carbon storage; 15-23% for carbon sequestration). We conclude that it is possible to achieve win-win situations applying diversified forest management planning at a landscape level.

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Section: Carbon Biomass Stored In Living Wood Dead Wood and In Extramentioning

confidence: 99%

Managing a boreal forest landscape for providing timber, storing and sequestering carbon

et al. 2015

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“…Individual regression models were created for each species class in the same manner as previously done for the entire test sites. A previous study [39] has noted that young forests differ considerably and therefore it was proposed that young forests should be assigned their own class. However, the stands covering Krycklan had too few relevant field data to get a significant distribution of young forests.…”

Section: Species-specific Modelsmentioning

confidence: 99%

Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests

Persson

Fransson

2014

Remote Sensing

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Abstract:The last decade has seen launches of radar satellite missions operating in X-band with the sensors acquiring images with spatial resolutions on the order of 1 m. This study uses digital surface models (DSMs) extracted from stereo synthetic aperture radar images and a reference airborne laser scanning digital terrain model to calculate the above-ground biomass and tree height. The resulting values are compared to in situ data. Analyses were undertaken at the Swedish test sites Krycklan (64°N) and Remningstorp (58°N), which have different site conditions. The results showed that, for 459 forest stands in Remningstorp, biomass estimation at the stand level could be performed with 22.9% relative root mean square error, while the height estimation showed 9.4%. Many factors influenced the results and it was found that the topography has a significant effect on the generated DSMs and should therefore be taken into consideration when the stand level mean slope is above four degrees. Different tree species did not have a major effect on the models during leaf-on conditions. Moreover, correct estimation within young forest stands was problematic. The intersection angles resulting in the best results were in the range 8-16°. Based on the results in this study, radargrammetry appears to be a promising potential remote sensing technique for future forest applications.

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“…from other studies that were inconsistent with (one of) the above-mentioned selection conditions (e.g. [9,35]), were not taken into consideration. As can be seen from Table III, no age classes were distinguished in the end, although it is widely known (e.g.…”

Section: Biomass Expansion Factors Slmentioning

confidence: 99%

“…As can be seen from Table III, no age classes were distinguished in the end, although it is widely known (e.g. [26,35,39,46]) that BEFs s.l. are age-dependent.…”

Section: Biomass Expansion Factors Slmentioning

confidence: 99%

Growing stock-based assessment of the carbon stock in the Belgian forest biomass

et al. 2005

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-Belgian forests covered 693 181 ha in 2000, representing 22.7% of the total land area. As no biomass or carbon stock data are included in the Flemish and Walloon regional forest inventories, species-specific wood densities, biomass expansion factors s.s. and carbon content values were critically selected from the literature. Based on these conversion and expansion factors, and on data from the forest inventories, the total C-stock in the living biomass of productive Belgian forests was assessed at 60.9 Mt C in the year 2000. The overall mean C-stock amounted to 101.0 t C ha -1 . This value was in the higher range of values reported for the neighbouring countries, mainly due to a high mean growing stock in the Belgian forests (261.9 m 3 ha -1 ). The conversion from wood volume to wood biomass based on wood density values reported in the literature appeared to introduce the largest variability in the assessment of the carbon stocks. Additional measurements of wood densities in Belgian forests could help to reduce the uncertainty related to this factor. Because of the time-consuming and destructive character of the determination of biomass expansion factors s.s. (BEFs), the establishment of new BEFs does not have the highest priority in the framework of improving the assessment of the biomass carbon stock in the Belgian forests. As the median C-content value for all species except beech was equal to the default IPCC-value of 50% carbon in dry matter, it seems appropriate to use this value for future calculations.forest inventory / carbon stock / biomass expansion factor / wood density / aboveground and belowground biomass / carbon content Résumé -Estimation des stocks de carbone dans la biomasse des forêts en Belgique. La forêt belge couvrait 693 181 ha en 2000, ce qui représente 22,7 % de la surface totale du pays. Les inventaires forestiers flamands et wallons n'incluent pas de mesures directes de biomasse ou de stock de carbone. Pour calculer les stocks de carbone dans les arbres forestiers à partir des volumes de bois fort, les infradensités du bois, les facteurs d'expansion de la biomasse et les teneurs en carbone ont été sélectionnés dans la littérature. En 2000, les stocks de carbone dans la biomasse des forêts belges productives étaient de 60,9 Mt C, soit 101,0 t C ha -1 . Cette dernière valeur est relativement haute comparée avec celles observées dans les forêts des pays avoisinants, à cause d'un grand volume de bois fort dans les forêts belges (261,9 m 3 ha -1 ). L'infradensité du bois semble être le facteur qui introduit la plus importante variabilité dans le calcul des stocks de carbone dans la biomasse. Des mesures complémentaires des infradensités du bois des essences les plus communes en Belgique pourraient aider à réduire significativement les incertitudes sur les mesures des stocks de carbone dans les forêts. La détermination expérimentale des facteurs d'expansion est coûteuse en temps et se base sur des analyses destructives. Ainsi, l'obtention de facteurs d'expansion propre à la situati...

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Biomass expansion factors (BEFs) for Scots pine, Norway spruce and birch according to stand age for boreal forests

Cited by 119 publications

References 0 publications

Managing a boreal forest landscape for providing timber, storing and sequestering carbon

Managing a boreal forest landscape for providing timber, storing and sequestering carbon

Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests

Growing stock-based assessment of the carbon stock in the Belgian forest biomass

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