2005
DOI: 10.14214/df.11
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Carbon stocks and flows in forest ecosystems based on forest inventory data

Abstract: Countries are currently reporting changes in carbon pools of forests to UNFCCC. According to the reporting guidelines methods should be transparent and verifiable, and also the quantification of the uncertainty is asked.The objective of the thesis was to develop methods for quantifying carbon stocks and fluxes at national scale based on forest inventory data.To estimate tree biomass of forests, representative BEFs (biomass expansion factors) with uncertainty estimate were developed for Finland. A method for qu… Show more

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Cited by 15 publications
(16 citation statements)
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References 111 publications
(107 reference statements)
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“…Fine root production has earlier been estimated to contribute from 33% to 75% of the annual net primary production in forest ecosystems (Grier et al, 1981;Santantonio and Grace, 1987;Vogt, 1991;Jackson et al, 1997), and more recent estimates suggest these percentages to be from 13% to 27% (McCormack et al, 2015b). Fine roots represent one of the largest litter inputs to the soil, especially in boreal forests (Vogt et al, 1986;Lehtonen, 2005;Clemmensen et al, 2013;Leppälammi-Kujansuu et al, 2014;Ojanen et al, 2014). Unfortunately, the quantity of fine roots and their lifespan are poorly known (Brunner et al, 2013) compared to aboveground compartments, and this may lead to severe uncertainties in ecosystem simulation models and C budget estimates (Peltoniemi et al, 2006;Strand et al, 2008;Smithwick et al, 2014;McCormack et al, 2015a).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Fine root production has earlier been estimated to contribute from 33% to 75% of the annual net primary production in forest ecosystems (Grier et al, 1981;Santantonio and Grace, 1987;Vogt, 1991;Jackson et al, 1997), and more recent estimates suggest these percentages to be from 13% to 27% (McCormack et al, 2015b). Fine roots represent one of the largest litter inputs to the soil, especially in boreal forests (Vogt et al, 1986;Lehtonen, 2005;Clemmensen et al, 2013;Leppälammi-Kujansuu et al, 2014;Ojanen et al, 2014). Unfortunately, the quantity of fine roots and their lifespan are poorly known (Brunner et al, 2013) compared to aboveground compartments, and this may lead to severe uncertainties in ecosystem simulation models and C budget estimates (Peltoniemi et al, 2006;Strand et al, 2008;Smithwick et al, 2014;McCormack et al, 2015a).…”
Section: Introductionmentioning
confidence: 99%
“…Hitherto, fine root biomass in the GHG inventories of Finnish upland forests has been estimated using statistical models that describe the relation between modelled foliage and measured fine root biomass using data from 16 sites on upland soils across Finland . Foliage biomass is the most difficult aboveground biomass pool to model and the systematic errors of foliage biomass estimates can be high (Lehtonen, 2005;Somogyi et al, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…In Africa, for example, deforestation accounts for nearly 70% of total emissions (FAO, 2005) [3] while in Tanzania various sources has reported about the forest depletion and degradation (Kangalawe et al, 2005;Majule et al, 2010) [4,5] contributing to almost 20% of the total emission. Carbon circulates among the oceans; terrestrial biosphere and atmosphere, in addition to human activities, such as fuel combustion and deforestation affect the carbon dioxide (CO 2 ) concentration in the atmosphere (Lehtonen, 2005) [6]. Forests are also the largest terrestrial reservoir for atmospheric carbon because they remove CO 2 from the atmosphere and store it in the soil litter, trees and other organic matter.…”
Section: Introductionmentioning
confidence: 99%
“…-In this work the annual branch litterfall was intuitively set to 3% of the total branch mass, leading to a lifespan of 33.3 years. Only little is known about the senescence rate of coarse roots [59]. Following a common practice we set it to the same level as branch litterfall [52].…”
Section: Estimating Annual Carbon Fluxesmentioning
confidence: 99%