Climate-driven silicate weathering and biogeochemical coupling in black soils
ChengchengZhang1
ZhongxiuSun1✉Email
YinyingJiang2
SiyiDuan1
QiubingWang1
WeiwenQiu3
1College of Land and EnvironmentShenyang Agricultural University110866ShenyangLiaoning ProvinceChina
2Shenyang Institute of Technology113122ShenyangChina
3New Zealand Institute for Bioeconomy Science LimitedPrivate Bag 32303240HamiltonNew Zealand
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+86 15734005989
Chengcheng Zhang 1, Zhongxiu Sun 1,*,Yinying Jiang 2, Siyi Duan 1, Qiubing Wang 1 &
Weiwen Qiu 3
1. College of Land and Environment, Shenyang Agricultural University, Shenyang 110866, Liaoning Province, China.
2. Shenyang Institute of Technology, Shenyang 113122, China.
3. New Zealand Institute for Bioeconomy Science Limited, Private Bag 3230, Hamilton 3240, New Zealand.
*Correspondence: zhongxiusun@syau.edu.cn (Sun, Z.X.); Tel.: +86 15734005989
Abstract
A
The black soil region of Northeast China has revealed widespread silica-clay composite layers that constrained crop root, yet their origin—chemical weathering versus biological enrichment remains debated. Here, we applied a sequential chemical extraction method and biogeochemical coupling analysis to demonstrate that the total Si pool in black soil consists predominantly of Si (residual silicon (Sires): 96.02%−97.34%), with non-crystalline silicon (Sinoncry) accounting for 2.66%−3.98%. Silica neoformation accumulation layers demonstrated marked enrichment in Sires. Overall, soil pH, organic carbon content, and bulk density regulated the vertical differentiation of Si fractions by influencing silicate dissolution-precipitation dynamics and cementation processes. A quantitative model of Si biogeochemical ratio was proposed and used to quantify interaction intensity between biological and chemical processes. Holocene climatic cycles drove silicate migration and transformation, with chemical weathering dominating during glacial periods and biological processes intensifying during interglacial phases, revealing co-dominant roles of biological and chemical processes in forming silica neoformation accumulation layers. This study clarifies that climate-driven biogeochemical coupling shapes silica neoformation accumulation layers in black soils, providing a theoretical basis for understanding pedogenesis.
Keywords:
Silicon fractions
black soil region
Pedogenesis and evolution
Climatic forcing mechanism
A
Introduction
The black soil region of Northeast China is characterized by flat terrain, thick humus layer, sustains critical agricultural productivity due to its high organic matter content and exceptional fertility, functioning as an indispensable granary for national food security1,2. However, decades of intensive farming have led to significant degradation: conventional tillage practices (e.g., ploughing and rotary tillage) have disrupted topsoil structure, while excessive fertilizer application has accelerated soil acidification. These factors have sharply increased the mineralization rate of organic matter, degraded pore continuity, reduced biodiversity, and contributed to the formation of restrictive layers3,4. Over the past 30 years, the thickness of the black soil layer has declined at an average annual rate of 0.32 cm5. In some sloping farmlands, irreversible silica neoformation accumulation layers have already developed69. These layers severely hinder root development and the transport of water and nutrients, thereby threatening the region’s role in sustaining national food security10.
Recent soil investigations have revealed widespread occurrence of a silica neoformation (silica powder)-enriched horizon (designated as the silica neoformation accumulation layer) in the black soil region of Northeast China, particularly pronounced in soils developed from ancient sediments. This horizon exhibits variable occurrence depths and silicate powder contents across different regions and soil types. The silica neoformations typically manifest as angular blocky structures with grayish-white powdery appearance, predominantly coating ped surfaces. In the "Field Soil Description and Sampling Manual"11, this horizon is denoted by lowercase "q" according to Chinese Soil Taxonomy12 referring to "x" in Soil Taxonomy13 and often co-occurs with clay illuviation, forming silica-clay composite layers8,9,14. Field identification relies on observing grayish-white surface coatings on structural units after rapid non-carbonate tests. When silica accumulation reaches significant levels, this horizon becomes compacted, impeding root penetration and water movement, which frequently leads to perched water tables and exacerbates slope erosion. Current understanding of the spatial distribution and genesis of this horizon remains insufficient.
The formation mechanisms of the silica neoformation accumulation layer remain complex and controversial, with ongoing debates between chemical weathering and biotic enrichment hypotheses. Early studies proposed the chemical weathering hypothesis, suggesting that silicate dissolution and translocation driven by groundwater15, along with clay mineral desilication16, are the primary causes of silica enrichment. In contrast, the biological enrichment hypothesis emphasizes the role of plant Si uptake and recycling through mineralization14,17. Recent advancements in sequential extraction techniques have clarified the characteristics of Si fractions: although crystalline Si accounts for more than 96% of the total Si pool in Northeast China’s black soils, Sinoncry fractions (e.g., mobile Si (Sil), adsorbed Si (Siad), Si bound to organic matter (Siorg), Si associated with pedogenic oxides and hydroxides (Siocc), biogenic and minerogenic amorphous silica (Siba and Sima)) display marked spatial heterogeneity. The interplay between Si fractions transformation and pedogenic horizon development underscores the complexity of biogeochemical cycling in these soils.
Si, the second most abundant element in the Earth’s crust18, has a profound impact on the functioning of soil systems through its geochemical behavior. The activation, migration, and transformation of Si in soils are governed by multiple synergistic processes: Sil forms Siad and Siocc via adsorption-desorption and precipitation-dissolution reactions; a portion complexes with organic matter to form Siorg, and another portion is transformed into Siba through biological uptake and mineralization19,20. The dynamic equilibrium of these Si fractions both influences soil structural stability and affects the global carbon cycle through mechanisms such as phytolith carbon sequestration21,22. However, the formation of silica neoformation accumulation layers disrupts this balance: high-density siliceous particles reduce soil pore connectivity through physical barrier effects, while silicate cementation exacerbates compaction, together forming a “silica lock-in” effect8.
Although previous studies have examined the ecological roles of Si or focused on single-species interactions, the coupled mechanisms linking Si fraction transformation with pedogenic processes remain poorly understood. In particular, no quantitative model has yet elucidated climate-biological-geochemical linkages responsible for the genesis of silica neoformation accumulation layers in Northeast China’s black soils. This study addressed that gap by establishing a SBC quantification framework using sequential extraction scheme to quantify Si fractions transformation. Our findings clarified the climate-driven mechanisms that have shaped Si fractions dynamics since the Late Pleistocene. This work provides a theoretical foundation for mitigating compaction-related layers in black soils, advances the biogeochemical understanding of Si cycling, and offers valuable insights for predicting soil evolution under global change scenarios.
Results
Vertical distribution characteristics of Si fractions
Fig. 1
Proportions of Si fractions across the soil profile
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Different colors represent the percentage of different forms of silicon in the total silicon content. The letters combinations on the right axis of the vertical coordinate represent different Soil genetic horizon. "A" represents the humus layer or the surface layer affected by cultivation; "E" represents the bleached layer; "B" represents the illuvial or accumulated layer, or the weathered B horizon; "C" represents the parent material layer; "p" represents being affected by plowing (e.g., "Ap1" refers to the plow layer, while "Ap2" denotes the layer influenced by tillage); "t" signifies clay accumulation; "r" represents redox features; "q" indicates secondary silica accumulation; "h" denotes humus accumulation; and "b" refers to a buried layer11.
The investigated black soil profile exhibited clear vertical differentiation in Sitot content, ranging from 590.94 to 653.89 mg·g− 1(Fig. 1). Statistical analysis revealed significant differences (P < 0.01) in Si fractions among horizons, with primary-secondary Sires being the overwhelmingly dominant component, ranging from 567.41 to 645.68 mg·g− 1 and accounting for 96.02% to 97.34% of Sitot. Notably, the Btrq2 horizon displayed a markedly higher Sires proportions than other layers, indicating an accumulation of silicate weathering residues. Sinoncry constituted 2.66% to 3.98% of Sitot, with peak relative enrichment observed in the Ap2 horizon. Across all horizons, the Si fractions followed the order: Sires>Sima>Siocc>Siorg>Siba>Siad>Sil.
Within the Sinoncry, Sil had the lowest concentrations, ranging from 0.04 to 0.08 mg·g− 1, contributing only 0.006% to 0.013% of Sitot (Fig. 2). In contrast, Sinoncry ranged from 10.40 to 15.81 mg·g− 1 (or 1.63% to 2.44% of Sitot), peaking in the Btrq4 horizon, indicative of active silicate mineral weathering. Siocc represented 0.51% to 1.37% of Sitot and showed a “surface depletion” - “deep differentiation” pattern. Its highest concentration was found in Btrq1 (8.93 mg·g− 1) and lowest in Btrq2 (3.30 mg·g− 1), reflecting variations in pedogenic intensity. Siorg contributed 0.23% to 0.60% of Sitot, with significantly higher concentrations in the surface A horizon (2.79 − 3.55 mg·g− 1) than in the subsurface B horizon (1.48 − 2.96 mg·g− 1), demonstrating the role of organic matter in Si complexation. Siba comprised 0.01% to 0.02% of Sitot, generally decreasing with depth and showing relative enrichment in Btrq4 (0.14 mg·g− 1) and Btrq1 (0.12 mg·g− 1), suggesting microbial-driven Si transformation in deep layers. Siad represented 0.003% to 0.024% of Sitot, with a unimodal vertical distribution. It peaked in the Btrq3 horizon (0.16 mg·g− 1) and reached a minimum in Ap1 (0.02 mg·g− 1), possibly reflecting differences in colloidal composition and redox gradients across horizons.
Fig. 2
Vertical variation of Si fractions across the soil profile
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Gain and loss characteristics of Si fractions in soil horizons
Fig. 3
Gain and loss characteristics of Si fractions in different soil horizons
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Quantitative analysis using a pedogenic reconstruction model revealed significant vertical differentiation in Si fractions indicating migrations and transformations across pedogenic horizons (Fig. 3). All horizons experienced net losses of Sil relative to the parent material, with the E horizon showing the greatest depletion (0.006 g·(100 cm3)−1), corresponding to a 53.1% reduction from the initial value. In contrast, Siorg exhibited widespread enrichment, peaking in the Ahb horizon with an increase of 0.26 g·(100 cm3)−1, representing a 1.3-fold increase over the parent material.
The dynamics of the Sitot pool reflected a bidirectional regulatory pattern: the E horizon experienced a net depletion of 2.53 g·(100 cm3)−1, while the Btrq1 horizon showed substantial accumulation of 10.04 g·(100 cm3)−1, indicating a pattern of surface loss coupled with subsurface enrichment. Sires displayed signs of vertical redistribution. Depletions of 0.68, 1.24, and 2.68 g·(100 cm3)−1 were observed in the Ap1, Ap2, and E horizons, respectively, whereas the Btrq1 horizon exhibited significant enrichment (9.02 g·(100 cm3)−1), highlighting active downward migration and reallocation of silicon within the soil profile. Sinoncry transformation showed a more complex transformation pattern. Apart from a 0.18 g·(100 cm3)−1 loss in the Btrq2 horizon, all other horizons exhibited varying degrees of enrichment, with the Btrq1 horizon increasing by 1.02 g·(100 cm3)−1. Within this horizon, Sil decreased by 0.003 g·(100 cm3)−1, while Siad (0.014 g·(100 cm3)−1), Siocc (0.52 g·(100 cm3)−1), Siba (0.004 g·(100 cm3)−1), and Sima (0.42 g·(100 cm3)−1) showed coordinated increases. Comparative analysis revealed that Siocc experienced its greatest depletion in Btrq2 (0.3 g·(100 cm3)−1), whereas Btrq4 demonstrated the strongest combined enrichment of biogenic and mineral amorphous silica, reaching 0.005 g·(100 cm3)−1 and 0.62 g·(100 cm3)−1, respectively. Notably, specific Siorg enrichment in the Ahb horizon (0.23 g·(100 cm3)−1) further confirmed the prominent role of biochemical Si fixation processes in surface soils.
Effects of soil physical and chemical properties on Si fractions
Fig. 4
Correlations between soil Si fractions and physical and chemical properties
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"SOC" is the abbreviation of Soil Organic Carbon; "BD" is the abbreviation of Bulk Density; "Xlf" represents the Magnetic susceptibility. The gradient-colored column on the right represents the correlation coefficient. The larger the absolute value, the higher the degree of correlation.
Pearson correlation analysis systematically elucidated the relationships between soil physicochemical properties and various Si fractions (Fig. 4). The results demonstrated that soil pH was highly negatively correlated with Sima (R = − 0.61, P < 0.001), and positively correlated with Sires (R = 0.57, P < 0.01), suggesting acidic conditions enhanced Sima dissolution and potentially promoted its transformation into residual phases. Organic carbon content showed a highly significant positive correlation with Siorg (R = 0.65, P < 0.001), while displaying significant negative correlations with Siad (R = − 0.60, P < 0.001), Sires (R = − 0.89, P < 0.001) and Siba (R = − 0.55, P < 0.01). These patterns indicate that a dual regulatory role of organic matter: it promotes biological fixation of Si through organo-silicon complexation while simultaneously destabilizing other Si fractions. Among physical properties, bulk density was positively correlated with Siad (R = 0.46, P < 0.01) but negatively correlated with Siorg (R = − 0.60, P < 0.001), indicating that soil compaction affects the adsorption-desorption equilibrium of Si. Additionally, sand content showed a positive correlation with Sil (R = 0.41, P < 0.05), suggesting coarse particles facilitate Si migration within the profile.
In the context of the metal oxide system, total iron (R = − 0.45, P < 0.01) and total aluminum (R = − 0.67, P < 0.001) were negatively correlated with Siocc, whereas total manganese was positively correlated with both Siocc (R = 0.41, P < 0.05) and Sima (R = 0.44, P < 0.05). These patterns reflect differential affinities of multivalent metal oxides for various Si fractions. The significant positive correlation between magnetic susceptibility and Sima (R = 0.37, P < 0.05) further supports the protective role of Fe/Mn oxides in stabilizing amorphous Si phases.
Correlations among Si fractions themselves revealed a highly significant positive correlation between Sires and Sil (R = 0.61, P < 0.001), and a highly significant negative correlation between Sires and Siorg (R = − 0.61, P < 0.001), indicating an equilibrium between labile and recalcitrant Si pools. Additionally, the positive correlation between Siba and Sil (R = 0.45, P < 0.05) further suggests that biological cycling processes contribute to the replenishment of reactive Si pools in the soil system.
Vertical differentiation of Si storage fractions in soil horizons
Fig. 5
Vertical differentiation of Si storage in different fractions across soil profile
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The storage of different Si fractions in the black soil profile exhibited significant vertical differentiation (Fig. 5). Sitot storage ranged from 606.6 to 3062.3 g·m− 2, with Sires forming the dominant pool (870.9 − 2947.0 g·m− 2), accounting for 96.0% to 97.3% of Sitot. In contrast, the Sinoncry showed substantially lower storage (31.2 − 115.3 g·m− 2), representing only 2.7% to 4.0% of Sitot storage. The vertical distribution pattern revealed that Btrq1 and Btrq4 horizons served as core storage zones, with both Sires and Sinoncry storage levels significantly exceeding those of other genetic horizons (p < 0.01), reflecting the long-term Si retention capacity of mid- to lower-soil horizons.
Within the Sinoncry fraction, the Btrq1 and Btrq4 horizons displayed a bimodal vertical pattern in the storage of Sil (0.3 and 0.4 g·m− 2), Siad (0.69 and 0.73 g·m− 2), Siocc (41.9 and 24.9 g·m− 2) and Siba (0.5 and 0.6 g·m− 2), with maximum values consistently observed in the Btrq1 horizon. Notably, the Ahb horizon showed a pronounced enrichment of Siorg (10.4 g·m− 2), which was 0.3 to 3.3 times higher than in other horizons. This highlights the critical role of organic matter in biological Si fixation and preservation, particularly within buried surface soil layers.
Discussion
Distribution patterns of Si fractions in soil profile
The composition and spatial distribution of Si fractions in the black soil profile showed pronounced vertical differentiation, clearly reflecting the coupling mechanism between pedogenic processes and Si geochemical behavior. This study confirmed that Sires is the dominant fraction of the soil Si pool, accounting for 96.02% to 97.34% of Sitot. Sires primarily exists as stable primary and secondary silicate minerals, a pattern that consistent with observations from Elbe River alluvial soils in Germany, where Sires comprises 93% to 99% of Sitot23. This distribution pattern validates theoretical models identifying silicate mineral weathering and hydrolysis as the primary source of Sil, which comprises only 0.005% to 0.01% of Sitot24. Despite its trace abundance, Sil functions as a crucial role and a reactive intermediate, facilitating transformations among Si fractions and regulating the soil Si cycle through dissolution-precipitation equilibria25.
Furthermore, this study identified a non-linear depth-dependent variation in Sil content: both the overlying (0 − 113 cm) and buried (113 − 235 cm) sections exhibited a characteristic V-shaped distribution pattern, with Sil decreasing in surface layers and increasing again in deeper horizons. This anomalous distribution can be attributed to the dissolution-compensation effect of Siba. In surface soils, Siba undergoes dissolution and release under precipitation leaching2628. The released Sil effectively offsets vertical migration losses24,25,29, thereby preventing the theoretical continuous depletion of Sil in upper horizons. During high-precipitation periods, Sil migration from the overlying section into buried section leads to higher Sil storage in the buried layer (0.09 − 0.36 g·m− 2) compared to the overlying section (0.08 − 0.14 g·m− 2), demonstrating the hydrological regulation of Si translocation within the soil profile.
The buried and overlying soil sections exhibit spatiotemporal coupling in Si biogeochemical cycling over geological timescales. Despite differences in vegetation, both sections produce SiO₂·nH₂O through plant root uptake and biomineralization, which is subsequently transformed into Siba through microbial decomposition5,25,30,31. Under the influence of monsoonal climate, summer precipitation induces leaching processes that lead to the physical entrapment of Siba in the Btrq1 (bulk density: 1.34 g·cm− 3) and Btrq4 (1.31 g·cm− 3) horizons. This process increases Siba storage by 0.38 g·m− 2 and 0.47 g·m− 2 above baseline levels, resulting in distinct enrichment layers with total Siba storage of 0.54 g·m− 2 and 0.64 g·m− 2, respectively.
Soil organic carbon pools significantly regulate Si transformations between different fractions. In the overlying section, the organic carbon gradient between A horizons (19.94 − 45.51 mg·g− 1) and B horizons (3.89–28.74 mg·g− 1) directly drives vertical differentiation of Siorg. In surface soils, carboxylic (–COOH) and hydroxyl (–OH) functional groups in humic acids and polysaccharides derived from maize root exudates − from complexes with H₄SiO₄20,32,33, resulting in Siorg storage of 5.33 g·m− 2. However, high aerobic microbial activity accelerates organic matter decomposition in these surface layers34, leading to the rapid release of this Si fraction. In contrast, anaerobic conditions in the buried A horizon inhibit organic matter degradation, allowing Siorg storage to increase to 10.43 g·m− 2, thereby establishing a pronounced vertical gradient in Siorg distribution.
A
Siorg concentrations in this region (1.48–3.55 g·m− 2) significantly exceed those reported for forest soils (0.23–0.5 g·m− 2) by Yang et al., (2020). This discrepancy can be attributed to the synergistic effect of cold-region-specific low-temperature organic-matter accumulation and seasonal freeze-thaw cycling. The low mean annual temperatures (–5 to 4°C) slow down organic matter decomposition1, while repeated freeze-thaw cycles disrupt mineral structures and increase pore connectivity35. These combined processes promote the association of Sil with humic substances. Together, they establish a cold-region-specific Si-organic-matter coupling system, characterized by low-temperature-driven organic accumulation, freeze-thaw-mediated Si release, and organic-Si complexation.
Evolution of Si fractions as a biogeochemical indicator of soil formation
In the black soil profile developed from loess-derived parent material (hilltop position, unaffected by groundwater), the transformation of Si fractions reflects multi-scale geo-biological interactions during soil formation. Variations in Sinoncry exhibit a strong positive correlation with the Chemical Index of Weathering (CIW; r = 0.97), confirming its effectiveness as an indicator of weathering intensity. Meanwhile, changes in Siba and Siorg reflect the driving force of surface biological processes on Si cycling. Accordingly, this study proposes a novel parameter—the Silicon Biochemical Coupling Ratio (SBC=(Variation of Siba + Variation of Siorg)/(Variation of Sinoncry)), to quantify interaction intensity between biological and chemical processes, defined as the ratio of biological enrichment flux to chemical weathering flux (Fig. 6).
During the Last Glacial Maximum (29.38 − 22 ka BP; corresponding to BCrq and Btrq4 horizons), cold climates significantly suppressed pedogenesis in Northeast China’s black soil region (Fig. 6). Low temperatures drastically reduced silicate mineral weathering intensity (Sinoncry=0.79 g·(100 cm3)−1), inhibiting Sil release and leading to the accumulation of Sires to 623.28 − 635.04 mg·g− 1. At the same time, sparse herbaceous vegetation limited biological enrichment36, establishing chemical weathering as the dominant process. This regime resulted in a low SBC (0.25), with chemical weathering rate (0.11 g·(100 cm3)−1·ka− 1) significantly exceeding biological enrichment rate (0.03 g·(100 cm3)−1·ka− 1). Extensive aeolian deposition of fine particles (silt and clay) during this interval laid the parent material for subsequent black soil development.
During the interstadial phase (22 − 11 ka BP; Ahb–Btrq3 horizons), a transition to warm, humid conditions triggered the recovery of herbaceous vegetation37. Microbial decomposition of herb-derived cellulose/hemicellulose released low-molecular-weight organic acids and sugars, contributing fulvic-acid-dominated humus38. Carboxyl/phenolic hydroxyl groups in the humus formed stable complexes with H4SiO4, promoting Siorg accumulation (0.13 − 0.23 g·(100 cm3)−1) and facilitating its downward migration (Ahb − Btrq3 horizons lost 0.001 − 0.002 g·(100 cm3)−1). Simultaneously, glacial-interglacial freeze-thaw transitions increased porosity in the Btrq4 horizon39, enabling Sil migration into deep fractures where dehydration-precipitation processes led to Sima formation. Coupled with efficient biological Si uptake by herbaceous plants (often termed “biological silicon pumping”), these processes elevated the SBC to 0.8 and increased biological enrichment rates to 0.05 g·(100 cm3)−1·ka− 1.
Climatic warming during the Holocene, characterized by increased precipitation and rising temperatures, enhanced vegetation growth and promoted organic matter accumulation. During the early to mid-Holocene (11 − 4.2 ka BP), warm-humid conditions accelerated vegetation recovery and succession, with a rising proportion of woody plant40. The deep root systems of woody vegetation secreted organic acids that strongly enhanced silicate mineral weathering, driving chemical weathering intensity to its peak (Sinoncry=1.35 g·(100 cm3)−1) and laying the foundation for chernozem development. Intense leaching, indicated by low weathering-leaching coefficients (ba = 0.49 − 0.51), led to Siba accumulation in the Btrq1 horizon (0.12 mg·g− 1). Elevated Siba levels (0.10 − 0.12 mg·g− 1) throughout this period further reflect increased plant biomass41. Dense vegetation not only stabilized aeolian dust but also accelerated soil development and organic accumulation through root exudation and plant litter decomposition. The concurrent accumulation of dust and organic matter resulted in soil aggradation and profile thickening4244, forming an overlying loess layer above the buried soil. This phase was characterized by an SBC of 0.2, with high chemical weathering rates (0.20 g·(100 cm3)−1·ka− 1) but low biological enrichment rate (0.04 g·(100 cm3)−1·ka− 1), possibly attributable to lower phytolith production and return rates in northern perennial woody plants compared to annual herbs45.
By the late Holocene (4.2 ka BP − present), climatic fluctuations shifted toward cooler and drier trends, altering vegetation composition toward herbaceous dominance and reducing woody plant cover. Around 0.42 ka BP, large-scale agricultural reclamation began46,47. Intensified anthropogenic activities, such as deforestation, tillage, cropping, markedly increased the mineral surface area exposed to weathering. The short life cycles of crops and herbs released greater quantities of organic acids and chelators48, enhancing chemical weathering rate to 0.25 g·(100 cm3)−1·ka− 1. Concurrently, straw return altered soil Si cycle via two synergistic pathways: fragmented straw decomposed by microbes released Siba, and the organic matter produced through straw decomposition, under cool and dry conditions that suppress microbial activity, enhanced humus accumulation. During this process, Sil bound to humic substances, increasing Siorg content. These synergistic processes strengthened biological contributions, increasing biological enrichment rate to 0.09 g·(100 cm3)−1·ka− 1 and raising the SBC to 0.33.
During periods of dust deposition, the overlying soil section exerted a “spatiotemporal sequestration effect” on the underlying buried section. Progressive dust accumulation buried the original grassland vegetation, while dense dust layers restricted oxygen penetration and surface runoff. This dual protective mechanism shielded humic substance-Si complexes in the buried section from microbial decomposition, leading to an accumulation of Siorg storage of 9.61 g·m− 2. It also suppressed organic mineralization rates, thus maintaining the long-term stability of humic acid-Si complexes. Additionally, seasonally leached humic substances migrated into the Ahb horizon, where they complexed with Sil, further elevating Siorg content by 0.23 g·(100 cm3)−1. Importantly, leached Sil, Siad, and Siba that migrated into buried section remained protected from erosion and loss due to the overlying dust barrier. Collectively, these processes established a consistent pattern in which Si storage across all fractions in the buried section exceeded those in the overlying section.
Fig. 6
The conceptual model of Si fraction migration and transformation in black soils
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This study reveals the vertical differentiation and biogeochemical drivers of Si fractions in a black soil profile, showing a pattern of Sires >Sima >Siocc >Siorg >Siba >Siad >Sil. Within this framework, Sires, which constitutes the dominant Si pool (96.02%–97.34%), forms the baseline reserve due to its association with primary silicate minerals. In contrast, Sil functions as the central cycling nexus, regulating fluxes among all Si fractions through dissolution-precipitation equilibria. This pattern arises from synergistic interactions among key soil properties, including pH, organic carbon content, and bulk density.
Revealing the cross-scale regulatory effects of climatic evolution and pedogenesis on Si cycling. Climatic cycles, through their influence on hydrothermal regimes and vegetation patterns, have profoundly shaped Si migration and transformation in both the overlying and buried sections. Fluctuations from the Late Pleistocene (29.38 − 11 ka BP) to the Holocene (11 − 0 ka BP) drove a multi-stage evolution of Si fractions: Glacial aridity (29.38 − 22 ka BP) enhanced Sires enrichment under weak chemical weathering and low biological activity (SBC = 0.25). Interstadial warming (22 − 11 ka BP) accelerated Si bio-cycling via intensified biological Si uptake (SBC = 0.81). While early- to mid-Holocene conditions (11 − 4.2 ka BP) supported the development of characteristic black soil Si pools through coupled strong chemical weathering and moderate biological enrichment (SBC = 0.20). Crucially, Holocene dust accumulation exerted a “spatiotemporal sequestration effect” that significantly enhanced silicon preservation in the buried section. Dense sedimentary layers simultaneously blocked oxidative erosion and suppressed microbial decomposition, maintaining the stability of humus-Si complexes and ensuring silicon storage across all fractions states consistently exceeded those in overlying section.
As a result of synergistic chemical weathering and biological enrichment, silica-enriched horizons exhibit high biogeochemical reactivity (SBC = 0.06 − 0.87) and distinctive migration and transformation characteristics. These findings provide new insights into the dynamic equilibrium of Si pools in cold-region soils.
While this study provides systematic quantification of Si fractions in black soil and elucidates the coupling among climate, pedogenesis, and Si cycling, several limitations remain. Notably, the lack of differentiation between microbially derived Siba and other sources may have led to underestimation of its contribution. Additionally, mineralogical characteristics and formation mechanisms of ganister sand were not fully explored. Future research should incorporate isotopic tracing and microscale characterization techniques to further resolve biogenic contributions to Si cycling and mineral transformation pathways—advancements critical for refining biogeochemical Si models in cold-region soils.
Materials and methods
Overview of the study area
This study systematically investigated representative soil profiles from the Second National Soil Survey49 and the “Soil Series of China6–9, exhibiting silica neoformation accumulation layers within Northeast China’s black soil region. Following multi-phase field validation, a typical deep soil profile in Bei’an City, Heihe, Heilongjiang Province (48°16′55.0″N, 126°36′0.378″E) was selected as the target site for investigation (Fig. 7a). According to the Chinese Soil Taxonomy 12, the studied soil is classified as Isohumosols, which corresponds to Mollisols in the U.S. Soil Taxonomy13 and Phaeozems in the World Reference Base50. Situated at the summit of a gentle slope, this profile holds scientific value considering its well-preserved sedimentary continuity, homogeneity of aeolian loess, and complete pedogenic record. These features allow it to faithfully document superimposed pedogenic processes across two climatic cycles from the Late Pleistocene (29.38 − 11 ka BP) to the Holocene (11 ka BP − present). Vertically, the profile is divided into a 0 − 113 cm overlying soil section (OSS) and a 113 − 235 cm buried soil section (BSS), both of which contain diagnostic silica neoformation accumulation layers. These horizons provide an ideal archive for investigating Si migration and transformation mechanisms within pedogenic systems.
The study area locates along the eastern margin of mid-latitude Asia within a continental monsoon climate zone, characterized by mean annual temperatures ranging from − 5°C to 4°C (increasing southward) and annual precipitation of 500 − 650 mm, most of which occurs during the April-September cropping season1. The investigated profile, currently under cultivation, has been developed from typical aeolian loess deposits. Although a buried soil pedon occurs below 113 cm in the soil profile, considering the continuous deposition of parent material in aeolian loess, we have adopted the nomenclature of continuous soil layers (Fig. 7b).
Fig. 7
a) The location map of the study area and b) profile
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In figure (b), the yellow circle represents the dating samples location. Describe the profile according to the "Field Soil Description and Sampling Manual" and divide it into layers11.
Soil samplings and preprocessing
Following the “Field soil description and sampling manual11, we conducted detailed morphological characterization of the experimental profile and collected pedogenic horizon samples from ten distinct pedogenic horizons. Soil samples were immediately sealed in zip-lock bags, and fresh subsamples were transported to the laboratory for prompt bulk density measurement. The remaining material was air-dried under cool, dry, and well-ventilated conditions, after which visible plant residues and gravel were removed. The samples were then ground and passed through 10−, 20−, 60−, 100−, and 200 − mesh sieves for subsequent physicochemical analyses. To obtain optically stimulated luminescence (OSL) dating samples from key horizon boundaries (Fig. 7b), undisturbed sediments were collected using light-proof stainless-steel tubes (30 cm length × 5 cm diameter) horizontally inserted into the profile chronologically significant interfaces under dark conditions to prevent solar exposure51. The sampled boundaries included the lower boundary of Ap2 (33 cm), upper boundary of Btrq1 (58 cm), mid-depth of Btrq2 (105 cm), upper boundary of Ahb (117 cm), upper boundary of Btrq3 (166 cm), lower boundary of Btrq4 (219 cm), and lower boundary of BCrq (234 cm) (Fig. 7b).
Measurement methods
Determinations of physical and chemical properties
Soil pH was determined using the glass electrode method with soil to water ratio of 1:2.5. Bulk density was measured using the core method52, and particle size distribution was analyzed with a Mastersizer 3000 laser diffraction system. All procedures followed the “Laboratory Analysis Methods of Soil Investigation53. Organic carbon content was quantified by dichromate oxidation54. Magnetic susceptibility was assessed using a portable susceptibility meter, and major elemental compositions were determined using fused bead X-ray fluorescence spectrometry (Supplementary Note 1)55. Soil chronology was established through optically stimulated luminescence (OSL) dating (Supplementary Note 2)56.
Determinations of different silicon fractions
Soil samples passed through a 20 − mesh sieve were subjected to sequential Si extraction to quantify Si fractions, following the method of Georgiadis et al. (2013)57. The extraction sequence included 0.01 M calcium chloride, 0.01 M acetic acid, 15% hydrogen peroxide, NH4-oxalate buffer solution (pH = 3.25) under UV radiation, 0.2 M sodium hydroxide, and ZnBr2 heavy liquid (ρ = 2.3 g·cm− 3), which were used to sequentially extract Sil, Siad, Siorg, Siocc, Siba, and total amorphous silicon (Sita), respectively (Supplementary Note 3). All extractions were performed in quadruplicate, and Si concentrations were analyzed using inductively coupled plasma mass spectrometry (ICP-MS). Sima content was calculated by subtracting Siba from Sita. The contents of Si fractions are expressed in mg·g− 1.
The storage of Si fractions (ST) in a specific layer of the soil profile can be quantified using the following formula24:
In the formula, ST (g·m− 2) represents the storage of different forms of Si, i (i = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10) corresponds to the soil horizon; Di (cm) is the thickness of the soil horizon; BDi (g·cm− 3) is the bulk density of the i-th horizon; and Xi is the concentration of a specific Si fraction in the i-th horizon (mg·g− 1).
Quantitative calculation of soil pedogenic process
The least-weathered BCrq horizon was selected as a reference benchmark according to a principle proposed by Brewer (1965)58, with titanium (Ti) as a stable reference element. A soil reconstruction model was applied to quantify gains or losses of specific components per 100 cm3 in weathered horizons during pedogenesis59. The calculation formula is as follows.
BDw and BDpm represent the bulk density of the weathered horizon and its parent material, respectively. Ciw and Cipm denote the concentration of the stable reference component “i” in the weathered horizon and parent material, respectively. Cjw and Cjpm indicate the concentration of component “j” in the weathered horizon and parent material. Djw quantifies the net gain or loss of component “j” during soil pedogenic processes within the weathered horizon.
Data processing
ArcMap 10.8 was used to generate the study area map, and Excel 2019 was employed for raw data processing. Pearson correlation analysis was conducted in SPSS 26, with statistical significance levels denoted as: ***P ≤ 0.001, **0.001 < P ≤ 0.01, *0.01 < P ≤ 0.05. Results with P > 0.05 were considered not statistically significant. All figures were plotted using the Origin 2021.
Data availability
The elevation data is derived from the geospatial data cloud at https://www.gscloud.cn/search. The administrative boundary data are derived from the Resources and Environmental Science Data Platform at https://www.resdc.cn/Login.aspx. The data that support the findings of this study are openly available in figshareat 10.6084/m9.figshare.30095287.
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Electronic Supplementary Material
Below is the link to the electronic supplementary material
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Acknowledgments
The authors sincerely thank all the students and staff who provided input to this study. Also, thanks go to the National Natural Science Foundation of China (No. 42277285).
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Author Contributions
Chengcheng Zhang: Conceptualization, data curation, investigation, methodology, visualization, writing—original draft, writing—review & editing. Zhongxiu Sun: funding acquisition, methodology, supervision, writing—review & editing. Yingying Jiang: methodology, visualization, writing—review&editing. Siyi Duan: software, formal analysis, visualization. Qiubing Wang: writing—review & editing. Weiwen Qiu: supervision, writing—review & editing. All authors have read and agreed to the published version of the manuscript.
Competing of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
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