Dynamics of soil carbon in a beechwood chronosequence forest

Hedde, Mickaël; Aubert, Michaël; Decaëns, Thibaud; Bureau, Fabrice

doi:10.1016/j.foreco.2007.09.004

Cited by 31 publications

(17 citation statements)

References 50 publications

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“…This difference could be due to the fact that these last forests were intensively managed in the past and this could have caused a decrease in C inputs and increase in C outputs. Similarly, our values are higher than those found by Hedde et al (2008) for a managed beech forest chronosequence in France (C stock referred to a soil mass equivalent to a soil depth of 0-30 cm; 62-68 MgC ha -1 ). Contrariwise, our mean is lower than the 110-220 MgC ha -1 found by Meier and Leuschner (2010) in the 0-20 cm layer as these last authors investigated beech stands characterized by lower elevation, lower slope and higher mean temperature.…”

Section: Carbon Poolscontrasting

confidence: 71%

Carbon stocks and net ecosystem production changes with time in two Italian forest chronosequences

et al. 2012

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Forest management influences several ecosystem processes, including carbon exchange between forest ecosystem and atmosphere. The aim of this paper was to study the carbon cycle over different age classes of two managed forests in the Italian Alps through direct measurements and modelling. For this purpose, ecosystem carbon dynamics of a beech forest (Fagus sylvatica L.) and of a spruce forest (Picea abies (L.) Karst.) were investigated using a chronosequence approach. In both forests, five forest development stages were identified (thicket, pole wood, young forest, mature forest and the regeneration phase) with an age spanning from 42 to 163 years for the beech forest and from 35 to 161 years for the spruce forest. Measured total ecosystem carbon stock increased up to 80–100 years, with a mean of 232 MgC ha-1 in the beech forest and of 299 MgC ha-1 in the spruce forest. Calculated net ecosystem production (NEP) was found to decrease linearly with age and had an average value of 2.2 and 4.4 MgC ha-1 year-1 for beech and spruce forest, respectively. Model simulations reported an increase in NEP till 50–60 years followed by a decrease thereafter. The model also predicted a negative NEP for a short period (8–11 years) after the seed cut. Aboveground biomass was the main driver of carbon accumulation while soil carbon was not significantly influenced by both age and management system. Moreover, measured data and model showed that the applied shelterwood system allowed for a rapid recovery of the ecosystem after the disturbance (i.e. seed cut), bringing back forest to act as C sink in few years

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Section: Carbon Poolscontrasting

confidence: 71%

Carbon stocks and net ecosystem production changes with time in two Italian forest chronosequences

et al. 2012

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“…where SOCs is the stock of organic carbon per unit area (t ha −1 ), C is the concentration of organic C in the ≤ 0,5 mm soil fraction (g kg −1 ), ρ is the soil bulk density (t m −3 ), T is the layer thickness (m) and δ is the proportion of coarse material (>2 mm in size).To apply the above equation, the bulk density (BD) value is required, a parameter that is difficult to calculate directly from humus forest soils samples (Hedde et al 2007;Schulp et al 2008), and is frequently estimated by means of pedotransfer functions (Garlato et al 2009b;Goidts et al 2009). Yet, some studies (ARPAV 2006;Garlato et al 2009a) have focused on uncertainties in SOC stock assessment and have demonstrated the importance of directly measuring the soil BD, while indirect estimates based on pedotransfer functions can lead to errors from 9% up to 36% of the SOCs (Goidts et al 2009).…”

Section: Soil Bulk Density and Soil Organic Carbon Stock Estimatesmentioning

confidence: 99%

Carbon Stock Evaluation from Topsoil of Forest Stands in Ne Italy

Faggian

Bini

Zilioli

2012

International Journal of Phytoremediation

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Gas emissions from anthropic activities, particularly CO2, are responsible for global warming. Soil is a major carbon sink on a planetary level, thereby contributing to mitigate greenhouse effect. In the present work, the objectives were: 1) to evaluate the topsoil carbon stock of different forest stands in NE Italy, and 2) to outline the relationships among humus forms, soil organic matter dynamics, and actual carbon stock under different vegetation coverage, with reference to climate change. Five forest stands and the related topsoils, were selected in the Dolomites area. The humus forms were examined in the field and samples were carried to the lab for further physical-chemical analyses. The carbon stock for each soil was calculated by means of pedotransfer functions. The less developed humus forms, as the Dysmull and the Hemimoder, presented the highest carbon storage capacity (168 t/y and 129 t/y), followed by Lithoamphimus (123 t/y) and Eu-amphimus (96 t/y), and by Oligomull (86 t/y). Organic horizons proved to recover 36% of the total carbon stocked along the soil profile, and this points to humus layers as a fundamental tool in carbon stock evaluation. Positive correlations between elevation, humus forms and soil carbon pools were found.

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“…They also could be mapped with the aid of digital mapping techniques (Aberegg et al, 2009), taking into account their local variability by standardized protocols (Ponge et al, 2002;Lalanne et al, 2008). The systematic census of humus forms could allow in a near future a clearer assessment of the amount and distribution of fast-recycling (organic horizons) and stable (organo-mineral horizons) carbon at scales varying from local to regional then to global levels (Thornley and Cannell, 2001;Hedde et al, 2008;Andreetta et al, 2011). In parallel, searching proxies for humus forms in geology, climate, soils and vegetation, mapped for a long time or easily accessible by remote sensing, and known as main determinants of forest soil conditions (Egli et al, , 2010Li et al, 2010), would help to achieve this goal even more rapidly.…”

Section: Introductionmentioning

confidence: 99%