Country and regional carbon stock in forest cover – estimates based on the first cycle of the Czech National Forest Inventory data (2001–2004)

Merganič, Ján; Merganičová, Katarína; Konôpka, Bohdan; Kučera, Miloš

doi:10.1515/forj-2017-0018

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…However, they can represent (especially those from natural regeneration -usually very dense ones) considerable carbon flux to necromass. In the case of litter fall, the flux it may make up even larger amount than in old forests (compare our results with Merganič et al 2017). Analogously, young stands should not be omitted in forest carbon balance estimates at regional, country or any other levels.…”

Section: Discussionsupporting

confidence: 56%

“…For instance, Pavlenda (2011) showed the annual foliage fall equaling about 320 g per m 2 in a middle-age beech and slightly over 100 g per m 2 in a middle-age spruce stand. Merganič et al (2017) estimated about 250 g of foliage annually shed per m 2 in the forests (prevailingly spruce) of the Czech Republic. Our previous studies (Barna et al -unpublished data) in an old beech stand showed the annual foliage fall between 300 and 400 g per m 2 .…”

Section: Discussionmentioning

confidence: 99%

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Quantifying carbon in dead and living trees; a case study in young beech and spruce stand over 9 years

Šebeň

Konôpka

Pajtík

2017

Central European Forestry Journal

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In Slovakia, the contribution of young stands to the total forest area has been increasing in the last decade. However, scientific attention to these stands was previously very sparse and they were usually not included in local and country carbon stock estimates. Therefore, we focused on the calculation of tree biomass and necromass in young beech and spruce stands as well as on their development during the period of nine years (aged from 4 to 12 years). For the calculation, we implemented allometric equations using tree diameter and height as independent variables. The results showed very dynamic changes in biomass (carbon) stock. Specifically, tree biomass increased in the period of 9 years from about 2,000 g to 15,000 g (i.e. cca 1,000 to 7,500 g of carbon) per m 2 in beech, and from 4,500 to 12,000 g (cca 2,300 to 6,000 g of carbon) per m 2 in the spruce stand. At the same time, the amount of biomass (fixed carbon) was only slightly larger than the accumulated quantity of necromass (carbon loss from living trees). It means that a large portion of carbon was allocated to necromass. We found that not only the foliage fall but also the mass of dead trees, a result of intensive competition, was an important path of carbon flux to necromass. The results proved that although young forests fix much less carbon in their biomass than old stands, they can represent large carbon flux via annual increment of necromass. This indicates that young stands should not be omitted in forest carbon balance estimates of the country.

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Section: Discussionsupporting

confidence: 56%

Section: Discussionmentioning

confidence: 99%

Quantifying carbon in dead and living trees; a case study in young beech and spruce stand over 9 years

Šebeň

Konôpka

Pajtík

2017

Central European Forestry Journal

Self Cite

View full text Add to dashboard Cite

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Carbon stock in living biomass of Russian forests: new quantification based on data from the first cycle of the State Forest Inventory

Filipchuk,

Malysheva,

Zolina

et al. 2023

Central European Forestry Journal

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The carbon stock in living forest biomass was quantified based on first-cycle State Forest Inventory (SFI) measurements in permanent sample plots. The total carbon stock in above- and below-ground living biomass was assessed to be 46.9 ±0.4 × 109 tons C and average carbon stock at 52.1 ±0.5 t C ha–1 as of 2020. The State Forest Register (SFR), the primary source of consolidated information on Russia’s forests, estimates the forest growing stock to be 83.1 × 109 m3. The total growing stock volume in the forests, according to the SFI amounted to 113.1 × 109 m3. Owing to the updated and significantly higher growing stock volume, the estimate of carbon stock in living bio-mass is approximately 35% higher than previously reported. The uncertainty of the total and average carbon stocks based on SFI data was substantially lower (approximately ±1%) than that reported in previous studies (±15–30%). Methods of accounting for the carbon stock in living biomass, the results of calculations for forest lands throughout the country, units of the administrative division, and forest zoning were considered. Assessment of living biomass based on representative sampling can substantially improve the relevance and reliability of national forest reporting.

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The biogeochemical model Biome-BGCMuSo v6.2 provides plausible and accurate simulations of the carbon cycle in central European beech forests

Merganičová,

Merganič,

Dobor

et al. 2024

Geosci. Model Dev.

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Abstract. Process-based ecosystem models are increasingly important for predicting forest dynamics under future environmental conditions, which may encompass non-analogous climate coupled with unprecedented disturbance regimes. However, challenges persist due to the extensive number of model parameters, scarce calibration data, and trade-offs between the local precision and the applicability of the model over a wide range of environmental conditions. In this paper, we describe a protocol that allows a modeller to collect transferable ecosystem properties based on ecosystem characteristic criteria and to compile the parameters that need to be described in the field. We applied the procedure to develop a new parameterisation for European beech (Fagus sylvatica L.) for the Biome-BGCMuSo model, the most advanced member of the Biome-BGC family. For model calibration and testing, we utilised multiyear forest carbon data from 87 plots distributed across five European countries. The initial values of 48 new ecophysiological parameters were defined based on a literature review. The final values of six calibrated parameters were optimised for single sites as well as for multiple sites using generalised likelihood uncertainty estimation (GLUE) and model output conditioning that ensured plausible simulations based on user-defined ranges of carbon stock output variables (carbon stock in aboveground wood biomass, soil, and litter) and finding the intersections of site-specific plausible parameter hyperspaces. To support the model use, we tested the model performance by simulating aboveground tree wood, soil, and litter carbon across a large geographical gradient of central Europe and evaluated the trade-offs between parameters tailored to single plots and parameters estimated using multiple sites. Our findings indicated that parameter sets derived from single sites provided an improved local accuracy of simulations of aboveground wood, soil, and litter carbon stocks by 35 %, 55 %, and 11 % in comparison to the a priori parameter set. However, their broader applicability was very limited. A multi-site optimised parameter set, on the other hand, performed satisfactorily across the entire geographical domain studied here, including on sites not involved in the parameter estimation, but the errors were, on average, 26 %, 35 % and 9 % greater for the aboveground wood, soil, and litter carbon stocks than those obtained with the site-specific parameter sets. Importantly, model simulations demonstrated plausible responses across large-scale environmental gradients, featuring a clear production optimum of beech that aligns with empirical studies. These findings suggest that the model is capable of accurately simulating the dynamics of European beech across its range and can be used for more comprehensive experimentations.

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Country and regional carbon stock in forest cover – estimates based on the first cycle of the Czech National Forest Inventory data (2001–2004)

Cited by 3 publications

References 38 publications

Quantifying carbon in dead and living trees; a case study in young beech and spruce stand over 9 years

Quantifying carbon in dead and living trees; a case study in young beech and spruce stand over 9 years

Carbon stock in living biomass of Russian forests: new quantification based on data from the first cycle of the State Forest Inventory

The biogeochemical model Biome-BGCMuSo v6.2 provides plausible and accurate simulations of the carbon cycle in central European beech forests

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