Quantification of Carbon in Forest Necromass: State of the Art

Maas, Greyce Charllyne Benedet; Sanquetta, Carlos Roberto; Marques, Renato; Machado, Sebastião do Amaral; Sanquetta, Mateus Niroh Inoue

doi:10.1590/01047760202026012661

Cited by 13 publications

(3 citation statements)

References 54 publications

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“…The forested area of the Republic of Bashkortostan is 5,186.5 thousand hectares with a reserve of carbon in the bound state being 91.9 million tons, with accumulated phytomass in the amount of 597.1 million tons. The deciduous stands have the highest carbon absorption intensity, namely 4,930 thousand tons/year by softleaved stands; 1,299 thousand tons/year by the coniferous stands (t estimated young and medium-aged stands = 4.607, t estimated young and ripening stands = 9.762, t estimated young, mature and overmature stands = 0.849; t 0.05 tabular = 2.086; t estimated coniferous and soft-leaved stands = -1.319, t estimated co- (Huang et al 2009, Egoshin et al 2018, Maas et al 2020.…”

Section: Resultsmentioning

confidence: 99%

Carbon stocks in the forests of the Ural Region

et al. 2022

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This paper examines carbon stocks in the forests of the Ural region forest fund. Carbon deposition in forest biomass, the average, average annual and annual carbon absorption were assessed by age groups and dominant species. The average annual rates of forest destruction were estimated depending on the territory of forest fires and burnt areas. Carbon losses in the biomass pool after continuous logging were estimated according to the methodology "On approving guidance to calculate greenhouse gas emissions” developed by the Ministry of Natural Resources of the Russian Federation. Carbon storage indicators were calculated from the groundwood of coniferous, hard-leaved and soft-leaved forests for all age groups. Changes in carbon stocks are shown for the period 2007-2018. The forests of the study area, the Republic of Bashkortostan, were found to sink carbon in 3,618.9 thousand tons/year. Pinus sylvestris L. forests accumulate the largest amount of carbon, 58,384.3 thousand tons, among coniferous forests. The difference between carbon absorption and its budget was 3,124.4 thousand tons/year. Soft-leaved stands that dominate in the republic accumulate the largest total carbon stock being 195,900.2 thousand tons. However, their average level of carbon stock is lower than that of coniferous and hard-leaved forests. Maintaining the level of carbon dioxide uptake is a strategic task of the republic's forestry sector, with compensatory reforestation being one solution. Keywords: absorption; carbon; coniferous forests; deciduous forests; storage; wood harvesting

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Section: Resultsmentioning

confidence: 99%

Carbon stocks in the forests of the Ural Region

et al. 2022

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“…Monitoring forest ecosystem carbon fluxes, characterizing respiration and combustion losses, as well as validating simulation models projecting future carbon dynamics depends on the knowledge of CWD C stocks. Quantifying C in CWD critically depends on accurate estimates of CWD density and C concentration in CWD to convert volume into biomass and C (Harmon et al, 2013; Maas et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Coarse woody debris density and carbon concentration by decay classes in mixed montane wet tropical forests

et al. 2022

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The role of coarse woody debris (CWD) in the global carbon (C) cycle is growing under increasing tree mortality driven by climate variability and disturbances. Quantifying C in CWD critically depends on accurate estimates of CWD density and C concentration in CWD. This study considered the main decomposition pathways (the proportions of CWD decomposed by fungi vs. invertebrates; fungal decay types) and the relationships between decay class, wood density, moisture, and C content of CWD in old‐growth mixed monsoon montane tropical forests in Vietnam based on the inventory of 359 CWD pieces. The bulk density of wood of the 1st, 2nd, 3rd, 4th, and 5th decay classes averaged 0.56, 0.49, 0.37, 0.28, and 0.15 g cm−3, respectively. The density reduction across decay classes did not significantly differ for snags, stumps, branches, leaning, and lying logs. Wood density was negatively related to wood moisture. The wood mass loss averaged 0%, 20%, 37%, 54%, and 74% in the CWD of the 1st, 2nd, 3rd, 4th, and 5th decay classes, respectively. Signs of invertebrate activity were recorded on 3% of CWD pieces. Among CWD samples with identifiable decay type, 88% were decomposed by white‐rot, 8% were decomposed as brown‐rot, and 4% of pieces contained both white‐ and brown‐rot patches. The mean C concentration in wood was 46.5%. It did not change with decay class. Our research provides an empirical basis for future inventories of CWD carbon stocks in Asian montane tropical mixed forests.

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“…Furthermore, forest biodiversity can also be affected by disturbance regimes such forest fires and bark beetle outbreaks (Carlson et al 2017, Mattson et al 2019, Sullivan et al 2021. Moreover, they create uncertainty in carbon stock quantification since fine residues are usually ignored in the estimations (Maas et al 2020). Also, there is an increasing interest in the retrieval of this material for bioenergy production (Bessaad et al 2021).…”

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confidence: 99%

Logging Residue Assessment in Salvage Logging Areas

Udali,

Garollo,

Lingua

et al. 2023

SEEFOR

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Salvage logging operations often occur after large disturbances and usually leave behind a substantial quantity of residues, which is fundamental for maintaining soil fertility and facilitating ecosystem dynamics. This study aims to estimate the amount of logging residues following salvage operations categorized by two wood harvesting systems: Cut-To-Length (CTL) and Full-Tree System (FT). Logging residues in the harvested areas were sampled using linear transects and the data collected were divided into classes based on diameter. The quantity of residues was estimated using the Brown method for Fine Wood Debris (FWD) and the Van Wagner method for Coarse Wood Debris (CWD). Furthermore, the carbon and nutrient content associated with logging residues were also determined, considering their interaction with the soil organic layer. Overall, a higher quantity of FWD was detected in the sites cleared with the FT system and a higher quantity of CWD in the sites logged with the CTL system. Differences could be observed for all three years and systems considered, but only the third year reported statistically significant results (p<0.01). The soil and residue chemical analysis for carbon and nutrient contents revealed a high amount of carbon stored in a potential layer of 10 cm of soil (up to 85 Mg·C·ha-1), while only up to 15 Mg·C·ha-1 for the woody material.

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Quantification of Carbon in Forest Necromass: State of the Art

Cited by 13 publications

References 54 publications

Carbon stocks in the forests of the Ural Region

Carbon stocks in the forests of the Ural Region

Coarse woody debris density and carbon concentration by decay classes in mixed montane wet tropical forests

Logging Residue Assessment in Salvage Logging Areas

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