Freeze-thaw-induced N2O pulses could account for nearly half of annual N2O fluxes in cold climates, but their episodic nature, sensitivity to snow cover dynamics, and the challenges of cold-season monitoring complicate their accurate estimation and representation in global models. To address these challenges, we combined in situ automated high-frequency flux measurements with cross-ecoregion soil core incubations to investigate the mechanisms driving freeze-thaw-induced N2O emissions. We found that deepened snow significantly amplified freeze-thaw N2O pulses, with these similar to 50-day episodes contributing over 50% of annual fluxes. Additionally, freeze-thaw-induced N2O pulses exhibited significant spatial heterogeneity, ranging from 3.4 to 1184.1 mu g N m(-2) h(-1) depending on site conditions. Despite significant spatiotemporal variation, our results indicated that 68%-86% of this variation can be explained by shifts in controlling factors: from water-filled pore space (WFPS), which drove anaerobic conditions, to microbial constraints as snow depth increases. Below 43% WFPS, soil moisture was the overwhelmingly dominant driver of emissions; between 43% and 66% WFPS, moisture and microbial attributes (including denitrifying gene abundance, nitrogen enzyme kinetics, and microbial biomass) jointly triggered N2O emissions pulses; above 66% WFPS, microbial attributes, particularly nitrogen enzyme kinetics, prevailed. These findings suggested that maintaining higher soil moisture served as a trigger for activating microbial activity, particularly enhancing nitrogen cycling. Furthermore, we showed that hotspots of freeze-thaw-induced N2O emissions were linked to high root production and microbial activity in cold and humid grasslands. Overall, our study highlighted the hierarchical control of WFPS and microbial processes in driving freeze-thaw-induced N2O emission pulses. The easily measurable WFPS and microbial attributes predictable from plant and soil properties could forecast the magnitude and spatial distribution of N2O emission hot moments under changing climate. Integrating these hot moments, particularly the dynamics of WFPS, into process-based models could refine N2O emission modeling and enhance the accuracy of global N2O budget prediction.

Although many studies have found that global warming has caused permafrost to thaw, we still lack understanding of the mechanism relating permafrost thawing and ecosystem carbon budgets. To compare the effects of freeze-thaw cycles on the grassland ecosystem carbon budget between a permafrost area (PA) and a non-permafrost area (NPA), we established two carbon dioxide flux towers since 2015 to monitor the net ecosystem exchange by eddy covariance (EC) systems at the site of Nalaikh in PA and Hustai in NPA. The gross primary production (GPP), respiration by ecosystems (Reco), and net ecosystem production (NEP) from 2016 to 2019 were estimated using EddyPro 7 and ToviTM. The result showed that, at the PA and NPA sites, the annual GPP was 686.3 and 654.9 g C m- 2 y-1, Reco was 611.5 and 699.6 g C m- 2 y-1, and NEP was 73.8 and -45.5 g C m-2 y- 1, respectively, which implies that the grassland ecosystem was a carbon sink in the PA but a carbon source in the NPA. Then, the effect of the freeze-thaw cycles on the carbon budget was also analyzed. The NEP in the PA (35.3 g C m-2) was significantly larger than in the NPA (0.3 g C m-2) during the thawing period and, similarly, the NEP in the PA (121.7 g C m-2) was also larger than in the NPA (72.1 g C m-2) during the thawed period, implying significantly larger carbon absorption in the PA than in the NPA during both the thawing and thawed periods. Finally, correlation analysis results revealed that the soil water content (SWC) plays an important role in maintaining the ecosystem carbon budget. The degradation of permafrost might accelerate soil thawing and promote the transfer of soil water, and thus greatly affect the carbon budget of grassland ecosystems in Mongolia.

In the last two decades the major focus of study in forest water and carbon balances in eastern Siberia has been on the effect of rain during the growing season. Little attention has been paid to the contribution of snowmelt water. The results of the present study indicate that weather conditions during the snowmelt period as well as the soil moisture conditions carried from the previous year's growing season strongly determined the water availability for the forest ecosystem at the beginning of the next growing season. In the forest-grassland intermingled ecosystem of lowland Central Yakutia, gradual snowmelt water flow from the forest into the adjacent grassland depressions increased when soil moisture was high and air temperature was low, whereas low soil moisture and high air temperatures accelerated soil thawing and consequently snowmelt water infiltration into the forest soil. We found that snow depth did not determine the volume of snowmelt water moving to the grassland depression since the thermokarst lake water level in the adjacent grassland was about 25 cm lower in 2005 than in May 2006, even though maximum snow depth reached 57 cm and 43 cm in the winter of 2004-05 and 2005-06, respectively. The contribution of snowmelt water to forest growth as well as the flow of water from the forest to the grasslands showed a strong annual variability. We conclude that warmer springs and high variability in precipitation regimes as a result of climate change will result in more snowmelt water infiltration into the forest soil when the previous year's precipitation is low while more snowmelt water will flow into the thermokarst lake when the previous year's precipitation is high. Copyright (C) 2015 John Wiley & Sons, Ltd.