Carbon Stocks and Microbial Activity in the Low Arctic Tundra of the Yana–Indigirka Lowland, Russia

Arctic warming is expected to alter permafrost landscapes and shift tundra ecosystems from greenhouse gas sinks to sources. We quantified plant biomass and necromass, carbon stocks, and microbial activity across five Low-Arctic tundra sites in the Yana–Indigirka Lowland (Chokurdakh, NE Siberia) during the 2024 growing season. Above- and below-ground plant biomass was measured by harvest adjacent to 50 × 50 m permanent plots; total C and N were determined by dry combustion on an elemental analyzer. Total organic carbon (TOC) stocks were calculated by horizon from TOC (%), bulk density, and thickness. Microbial basal respiration (BR), substrate-induced respiration (SIR), microbial biomass C (MBC), and the metabolic quotient (qCO 2 ) were assessed in litter/organic (O), peat (T), and mineral gley horizons. Mean above-ground biomass was 15.8 ± 1.5 t ha −1 ; total living biomass averaged 43.1 ± 1.6 t ha −1 . Below-ground biomass exceeded above-ground by 1.73×. Carbon in above-ground, below-ground, and necromass pools averaged 7.8, 12.2, and 12.5 t C ha −1 , respectively. Surface organic horizons dominated ecosystem C storage: litter–peat stocks ranged from 234 to 449 t C ha −1 , whereas 0–30 cm mineral layers held 18–50 t C ha −1 ; total (surface + 0–30 cm) stocks spanned 258–511 t C ha −1 among sites. Key contributors to biomass and C storage were deciduous shrubs (Salix pulchra , Betula nana ), bryophytes (notably Aulacomnium palustre ), and the graminoids ( Eriophorum vaginatum) . BR and MBC were highest in O and T horizons (BR up to 21.9 μg C g −1 h −1 ; MBC up to 70,628 μg C g −1 ) and declined sharply in mineral soil; qCO 2 decreased from O to mineral horizons, indicating more efficient C use at depth. These in situ data show that Low-Arctic tundra C stocks are concentrated in surface organic layers while microbial communities remain responsive to warming, implying high sensitivity of carbon turnover to thaw and hydrologic change. The dataset supports model parameterization and remote sensing of shrub–tussock tundra carbon dynamics.