Biogeneous carbon fluxes in the boreal forests of Central Siberia

The assessments of the carbon pool and rate of plant biomass production, phytodetritus destruction, new formations of humic matters, and removal of water-soluble decomposition products for the forest ecosystems of the forest tundra and the northern and southern parts of the Central Siberian taiga were given. The rates of the main processes (organic-matter production and degradation) were demonstrated to be balanced in the ecosystems of the forest tundra. The larch forests of the northern taiga serve as a stock for a C atmosphere, which are equivalent to 32–34% of net primary production (NPP). The secondary birch growth where the understory needle-leaved trees have been formed and the primary old-growth fir forests are characterized by the balance of the main carbon fluxes in the southern taiga. The birch forests where the understory trees are just being formed and the fir forests at the age of 50–90 years serve as a stock for an average of 26% of carbon extracted as dioxide to make NPP.     

Role of lakes for organic carbon cycling in the boreal zone

We calculated the carbon loss (mineralization plus sedimentation) and net CO₂ escape to the atmosphere for 79 536 lakes and total running water in 21 major Scandinavian catchments (size range 437–48 263 km²). Between 30% and 80% of the total organic carbon that entered the freshwater ecosystems was lost in lakes. Mineralization in lakes and subsequent CO₂ emission to the atmosphere was by far the most important carbon loss process. The withdrawal capacity of lakes on the catchment scale was closely correlated to the mean residence time of surface water in the catchment, and to some extent to the annual mean temperature represented by latitude. This result implies that variation of the hydrology can be a more important determinant of CO₂ emission from lakes than temperature fluctuations. Mineralization of terrestrially derived organic carbon in lakes is an important regulator of organic carbon export to the sea and may affect the net exchange of CO₂ between the atmosphere and the boreal landscape.     

Geostatistical estimation of surface soil carbon stock in Mt. Wakakusa grassland of Japan

Although nation-wide assessments on the grassland soil carbon storage have been conducted in Japan, the uncertainty of the estimation accuracy remains with its local variability. In the present study, using geostatistical approach, we assessed the spatial variability and distribution pattern of organic carbon (OC) and estimated its total stock in the surface soils (0–5 cm) over Mt. Wakakusa grassland (30.2 ha) of Central Japan. The exploratory statistics indicated that the surface soils had 1.88?±?0.28 kg C m^?2 of soil OC density on average (n?=?147) with a moderate variability (CV?=?18.8%), while the geostatistical analysis unveiled that its semivariogram was well fitted by a spherical model (R²?=?0.93, RSS?=?1.15E^?05) and had a strong spatial dependency (nugget–sill ratio?=?0.31). Based on these results, we constructed an interpolated map and estimated total OC stock to 552 Mg C in the surface soil of Mt. Wakakusa grassland.

     

Distribution of total mercury in peat soil profiles in West Siberia

Total mercury content in peat soils of different botanical composition has been determined. Mercury content in peat depends on principal properties of peat soil such as botanical composition, ash content, degree of peat decomposition, as well as nitrogen, carbon, and humic acid content in peat. A model based on the mercury/biomass concept is proposed to determine the distribution of total mercury in peat soil profiles in West Siberia from the content of the main biogenic elements C and N.     

Plant community succession in post-mined quarries in the northern-taiga zone of West Siberia

The study investigated changes in plant communities in sand and sandy loam quarries of various revegetational age in the northern taiga of West Siberia over the recent 13 years. Species composition of pioneer communities is determined by substrate texture; the communities are dominated by either herbaceous or woody species. The vegetation changes culminate in a zonal or secondary forest community. The beginning of a forest community is determined by chance factors.     

Soil formation and grouping of soils of the taiga zone in central West Siberia

Natural environments of the taiga zone in central West Siberia have been analyzed, with emphasis placed on the geological and morphological structure of the territory and morphology of soils. The main factors of soil formation are recognized, the main processes of soil formation are revealed, and a systematic list of soil kinds is compiled.     

Aquatic export of young dissolved and gaseous carbon from a pristine boreal fen: Implications for peat carbon stock stability

The stability of northern peatland's carbon (C) store under changing climate is of major concern for the global C cycle. The aquatic export of C from boreal peatlands is recognized as both a critical pathway for the remobilization of peat C stocks as well as a major component of the net ecosystem C balance (NECB). Here, we present a full year characterization of radiocarbon content (¹⁴C) of dissolved organic carbon (DOC), carbon dioxide (CO₂), and methane (CH₄) exported from a boreal peatland catchment coupled with ¹⁴C characterization of the catchment's peat profile of the same C species. The age of aquatic C in runoff varied little throughout the year and appeared to be sustained by recently fixed C from the atmosphere (<60 years), despite stream DOC, CO₂, and CH₄ primarily being sourced from deep peat horizons (2–4 m) near the mire's outlet. In fact, the ¹⁴C content of DOC, CO₂, and CH₄ across the entire peat profile was considerably enriched with postbomb C compared with the solid peat material. Overall, our results demonstrate little to no mobilization of ancient C stocks from this boreal peatland and a relatively large resilience of the source of aquatic C export to forecasted hydroclimatic changes.     

Drivers of postfire soil organic carbon accumulation in the boreal forest

The accumulation of soil carbon (C) is regulated by a complex interplay between abiotic and biotic factors. Our study aimed to identify the main drivers of soil C accumulation in the boreal forest of eastern North America. Ecosystem C pools were measured in 72 sites of fire origin that burned 2–314 years ago over a vast region with a range of ? mean annual temperature of 3°C and one of ? 500 mm total precipitation. We used a set of multivariate a priori causal hypotheses to test the influence of time since fire (TSF), climate, soil physico‐chemistry and bryophyte dominance on forest soil organic C accumulation. Integrating the direct and indirect effects among abiotic and biotic variables explained as much as 50% of the full model variability. The main direct drivers of soil C stocks were: TSF >bryophyte dominance of the FH layer and metal oxide content >pH of the mineral soil. Only climate parameters related to water availability contributed significantly to explaining soil C stock variation. Importantly, climate was found to affect FH layer and mineral soil C stocks indirectly through its effects on bryophyte dominance and organo‐metal complexation, respectively. Soil texture had no influence on soil C stocks. Soil C stocks increased both in the FH layer and mineral soil with TSF and this effect was linked to a decrease in pH with TSF in mineral soil. TSF thus appears to be an important factor of soil development and of C sequestration in mineral soil through its influence on soil chemistry. Overall, this work highlights that integrating the complex interplay between the main drivers of soil C stocks into mechanistic models of C dynamics could improve our ability to assess C stocks and better anticipate the response of the boreal forest to global change.     

土壤有机碳库的关键影响因素及其不确定性

土壤是陆地生态系统最大的有机碳库,比植被碳库或大气碳库的两倍还多。准确评估土壤有机碳库是预测全球变化与土壤有机碳之间反馈关系的关键。但目前对土壤有机碳库的估算还存在很大不确定性。该文综述了土壤有机碳库估算及其影响因素和土壤有机碳库估算不确定性的来源和常用的采样方法,以及计算土壤碳汇的最新研究进展。未来技术进步以及模型的不断完善可能会降低土壤有机碳库估算的不确定性,提高其估算的精度     

Lichen biota of West Siberia

The author has surveyed the diversity of lichen biota of West Siberia and distribution of lichens over its two geographic parts: the West Siberian Plain and the mountain frame in the south of West Siberia. The diversity of lichen biota in entire West Siberia is currently estimated at 1845 species in 325 genera and 95 families. The diversity of the West Siberian Plain is estimated at 1421 species in 271 genera and 86 families, and that of the southern mountains of West Siberia, at 1682 species in 312 genera and 94 families.     

Flora of the forest-steppe zone of West Siberia as a source of biologically active compounds

Plants of 76 species from 25 families growing in the forest-steppe zone of West Siberia are analyzed for the content of low-molecular biologically active compounds, such as flavonoids, tannins, catechins, coumarins, saponins, and alkaloids. It is established that 33 species hold promise as a source of flavonoids, 29 species tannins, 21 coumarins, 13 saponins, 13 alkaloids, and 1 catechins.     

Mycorrhizal responses to nitrogen fertilization in boreal ecosystems: potential consequences for soil carbon storage

Mycorrhizal fungi can contribute to soil carbon sequestration by immobilizing carbon in living fungal tissues and by producing recalcitrant compounds that remain in the soil following fungal senescence. We hypothesized that nitrogen (N) fertilization would decrease these carbon stocks, because plants should reduce investment of carbon in mycorrhizal fungi when N availability is high. We measured the abundance of two major groups of mycorrhizal fungi, arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) fungi, in the top 10 cm of soil in control and N-fertilized plots within three Alaskan boreal ecosystems that represented different recovery stages following severe fire. Pools of mycorrhizal carbon included root-associated AM and ECM structures; soil-associated AM hyphae; and glomalin, a glycoprotein produced by AM fungi. Total mycorrhizal carbon pools decreased by approximately 50 g C m⁻² in the youngest site under N fertilization, and this reduction was driven mostly by glomalin. Total mycorrhizal carbon did not change significantly in the other sites. Root-associated AM structures were more abundant under N fertilization across all sites, and root-associated ECM structures increased marginally significantly. We found no significant N effects on AM hyphae. Carbon sequestered within living mycorrhizal structures (0.051–0.21 g m⁻²) was modest compared with that of glomalin (33–203 g m⁻²). We conclude that our hypothesis was only supported in relation to glomalin stocks within one of the three study sites. As N effects on glomalin were inconsistent among sites, an understanding of the mechanisms underlying this variation would improve our ability to predict ecosystem feedbacks to global change.     

The use of CO2 flux time series for parameter and carbon stock estimation in carbon cycle research

Data assimilation (DA) is increasingly being employed to estimate the parameters and states of terrestrial ecosystem models from eddy covariance measurements of net carbon (C) fluxes. The length of the observation time series used varies for each study. The impact of these differences has not been quantified explicitly. Therefore, in this study, we investigate the importance of the time series length relative to observation noise and data gaps. Different length synthetic time series are used to determine the parameter and C stocks of a simple ecosystem C model. Two commonly used DA schemes are tested: the sequential Ensemble Kalman Filter (EnKF) and a batch Metropolis Markov chain Monte Carlo algorithm. Longer time series improve both the parameter and C pool estimates of the EnKF, while adversely affecting those of the Metropolis algorithm. For both DA approaches, the length of the time series has more influence on the parameter and pool estimates than the level of random noise or amount of data. In this study, the EnKF provides more robust parameter and C pool estimates than the Metropolis algorithm. Optimized parameters and states are often used as the basis for forecasting future responses. Despite having better parameter and C pool estimates, EnKF forecasts estimates have much larger uncertainties than the Metropolis algorithm forecast estimates. Finally, we suggest that the structure of simple box models, as used in this study, introduces a large degree of equifinality into DA. Neither DA scheme correctly accounts for the equifinality, but our results suggest that it is particularly problematic for the batch Metropolis algorithm.     

中国森林土壤碳储量与土壤碳过程研究进展

森林是陆地生态系统的主体,是陆地上最大的碳储库和碳吸收汇。国内外研究表明,土壤亚系统在调节森林生态系统碳循环和减缓全球气候变化中起着重要作用。但是,由于森林类型的多样性、结构的复杂性以及森林对干扰和变化环境响应的时空动态变化,至今对森林土壤碳储量和变率的科学估算,以及土壤关键碳过程及其稳定性维持机制的认识还十分有限。综述了近十几年来我国森林土壤碳储量和土壤碳过程的研究工作,主要包括不同森林类型土壤碳储量、土壤碳化学稳定性、土壤呼吸及其组分、土壤呼吸影响机制、气候变化与土地利用对土壤碳过程的影响等;评述了土壤碳过程相关科学问题的研究进展,讨论了尚未解决的主要问题,并分析了未来土壤碳研究的发展趋势,以期为促进我国森林土壤碳循环研究,科学评价森林土壤碳固持潜力及其稳定性维持机制和有效实施森林生态系统管理提供科学参考。     

四川森林土壤有机碳储量的空间分布特征

利用森林土壤实测数据与GIS相结合的研究方法估算了四川森林土壤有机碳密度和碳储量,研究了四川森林土壤有机碳密度的空间分布特征.四川森林土壤有机碳储量为(2394.26 ±514.15) TgC,平均碳密度为190.45 Mg·hm-2;四川不同森林类型土壤有机碳储量和碳密度差异较大,分别介于(5.05±0.37)～(1101.74±205.40) TgC、(102.69±21.09)～(264.41±49.24) Mg·hm-2之间,其有机碳含量、碳密度和碳储量都随土层厚度的增加而降低.四川森林土壤有机碳密度空间分布特征明显,总体上表现出随纬度、海拔高度的增加而增加,随经度的增加而减小.从森林土壤生态系统水平监测森林土壤有机碳储量有助于提高其估算精度.     

Gas-resistance of the woody plants of West Siberia

A resistant of the woody plants in West Siberia to toxic substances (sulfur dioxide, hydrocarbons, and carbon black) is studied by the reaction of the pigment complex, change of acidity of the leaf blade, activity of oxidative enzymes, moisture regime, and degree of damage of the leaf blade. The data of the study can be used in the landscaping of the sanitary protective zones of enterprises.     

基于湿度分布特征的小尺度土壤碳通量空间采样策略

由于土壤碳通量的空间异质性很强,传统的随机抽样方法无法对区域土壤碳通量进行准确估算,而多点采样需耗费大量的人力及设备成本,因此确定适当的采样点数量及分布策略对于区域土壤碳通量的测算非常重要。提出一种基于湿度空间分布特征的小尺度土壤碳通量空间采样策略:首先利用无线传感网密集测量区域的土壤湿度,根据湿度数据的空间分布特征划分监测区域,通过Hammond Mc Cullagh方程计算各子区域内的最优采样点数量,最终确定整个监测区域的空间采样点部署策略。提出的方法考虑了各子区域间土壤碳通量空间分布的差异,使得采样点的部署位置与土壤碳通量的分布具有较好的相关性。研究结果证明:土壤碳通量部署策略能够获得比均匀部署策略、随机部署策略更高的区域土壤碳通量估算准确度。