Variations in the annual increment and net production of Hylocomium splendens in the southern taiga forests of Krasnoyarsk krai

Goncharova, I. A.; Собачкин, Р. С.

doi:10.1134/s1067413614050063

Cited by 1 publication

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“…[2] idaea -16%, for Ledum palustre -10% (Kazimirov et al, 1977), Sphagnum mosses -32% (Laiho et al, 2011), green mosses -22% (Goncharova and Sobachkin, 2014).…”

Section: Carbon Inflow With Tree Litterfallmentioning

confidence: 99%

Ratios between aboveground net primary production, litterfall and carbon stocks in scots pine stands (Russia)

Osipov

Kutjavin

Бобкова

2021

CERNE

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Background: Forests are the main terrestrial regulators of greenhouse gas concentrations. However, estimates of carbon fluxes in them are characterized by large uncertainties. Therefore, the derivation of predictors for their assessment is an urgent task. The aim was to assess the carbon stocks in the biomass to characterize the intensity of aboveground net production and the amount of litterfall in Scots pine forests of different types on the North-East of the Europe. We estimated biomass and aboveground net primary production (ANPP) of stands using sample trees. For vegetation of ground cover biomass and primary production evaluating, we cut off all aboveground organs on an area of 625 cm 2 and removed the first-year parts. Litterfall was collected over 3-6 years using litter traps.Results: Most of the carbon in the biomass of pine forests is concentrated in trees (C stand ) with dominating role of stem wood. However, in boggy forests, ground vegetation plays a significant role in carbon stocks, both in absolute and relative values. We estimated carbon fluxes in ANPP and stand litterfall. High contribution of needles was detected for these flows. The ratio between ANPP and C stand varied from 0.018 to 0.056 but between Litterfal and C stand ranged from 0.008 to 0.024. Conclusion:The biomass, ANPP and litterfall depended form forest type. Obtained ratios between them can be used for assessing carbon fluxes in large regions using remote data collection of forest biomass.

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“…[2] idaea -16%, for Ledum palustre -10% (Kazimirov et al, 1977), Sphagnum mosses -32% (Laiho et al, 2011), green mosses -22% (Goncharova and Sobachkin, 2014).…”

Section: Carbon Inflow With Tree Litterfallmentioning

confidence: 99%