期刊,Journal of soils & sediments 2025年25卷5期_国家学术搜索

期刊信息/Journal information

Journal of soils & sediments

Verlagsgruppe Hüthig Jehle Rehm GmbH

主办单位：Verlagsgruppe Hüthig Jehle Rehm GmbH

出版周期：季刊

国际刊号：1439-0108

Journal of soils & sediments/Journal Journal of soils & sediments

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Hydrogel and arbuscular mycorrhizal fungi inoculation as soil conditioners in dark Earth of the Amazon rainforest

Tancredo SouzaJosefa Bruna Lima dos SantosDiego Silva Batista

1487-1496页

查看更多>>摘要：Abstract Purpose Our aim was to assess the soil properties, plant performance, and microbial gene associated with Z. mays as influenced by cellulose-based hydrogel and AMF inoculation in the Brazil’s Legal Amazon.Methods We evaluated the soil bulk density, soil porosity, geometric mean diameter (GMD), soil available water (SAW), soil pH, electrical conductivity (EC), cation exchangeable capacity (CEC), soil organic carbon (SOC), organic acids, plant dry biomass, yield, root density, microbial biomass carbon (MBC), microbial gene abundance, and dsDNA content in Acrisols cropped to maize cultivar “BRS-3042”.Results The highest values of soil porosity (49.21 m3 m− 3), GMD (2.71 0.11 mm), SAW(1.23 g kg− 1), EC (0.90 0.03 dS m− 1), CEC (45.89 mmolc kg− 1), SOC (10.9 mg g− 1), oxalic acid (45.33 1.29 µmol kg− 1), malic acid (4.11 µmol kg− 1), plant dry biomass (3.9 t ha− 1), yield (1.78 t ha− 1), root density (0.45 0.03 g cm− 3), MBC (256.02 µg g− 1 soil), Bacteria gene abundance (65.39 × 108 g− 1 soil), Fungi gene abundance (2.01 × 108 g− 1 soil), Archaea gene abundance (1.60 × 108 g− 1 soil), and dsDNA content (20.91 µg g− 1 soil) were found in the plots with hydrogel and AMF inoculation.Conclusions Our findings suggest that the use of hydrogel combined with AMF inoculation positively affected the Acrisols by increasing its physical structure and fertility. Additionally, both treatments showed potential to: (i) increase soil C sequestration in the Brazil’s Legal Amazon; (ii) mitigate climate change in areas covered by Amazon dark earth; and (iii) preserve sustainable agroecosystem for food production in the Amazon Forest Biome.

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Springer Nature

Wood-inhabiting fungal community characteristics responses to nutrient additions vary among tree taxonomic groups

Xian HeTeng YangKatja T. Rinne-GarmstonXiangyu Ji...

1497-1513页

查看更多>>摘要：Abstract Purpose Wood-inhabiting fungi play an important role in wood decomposition, and their community characteristics are influenced by both inherent wood nutrients and external nutrient inputs. However, how inherent nutrients from tree taxonomic groups interact with external nutrient inputs to influence fungal community characteristics remains unclear.Methods Here, we conducted a three-year field experiment in subtropical forest with eight tree species under four nutrient additions (no addition, nitrogen (N) addition, phosphorus (P) addition, and combined N and P addition), and investigated the effects of N and P additions on fungal communities in both overall wood and wood from different tree taxonomic groups (angiosperms and gymnosperms).Results Results showed that P addition had a stronger impact than N addition on fungal community structure, network complexity, and interaction strength between fungal species in overall wood. Considering tree taxonomic groups, fungal community structure in angiosperms was strongly affected by N addition, while in gymnosperms, it was predominantly affected by P addition. N addition significantly increased Ascomycota abundance, fungal diversity and network complexity in angiosperms, while P addition significantly decreased Ascomycota abundance, pathogenic fungi abundance, fungal diversity and network complexity in gymnosperms. These divergent responses of fungal communities were primarily driven by nutrient-induced changes in community’s demand for carbon (C) and nutrients, with angiosperms increasing fungal demand for wood C and gymnosperms decreasing fungal demand for wood P.Conclusion Our results highlight the key role of tree taxonomic groups in regulating the responses of wood-inhabiting fungal communities to nutrient additions through shifts in microbial nutrient demands.

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Amino-functionalized biochar enhanced Cd passivation in acidic, neutral and alkaline soils: effect and mechanism

Ling JiangSiyi ZhangSamuel S. K. GbonZhen Wu...

1514-1531页

查看更多>>摘要：Abstract Purpose Developing an environmentally benign and cost-effective passivator for in-situ remediation of Cd-contaminated soil remains a global challenge. This study aimed to synthesize a novel passivator and apply it to three soils with different pH to investigate its passivation effect and mechanism on Cd-contaminated soil.Materials and methods Herein, a novel alkali/APTES-modified biochar (AP@BC) was synthesized by a cross-coupling reaction with γ-aminopropyl triethoxysilane (APTES) loaded on the surface of maize stalk-based biochar. Characterization and batch experiments were conducted to investigate the adsorption performance and mechanisms of AP@BC for Cd2+. Pot experiments were carried out to assess the impact of AP@BC on soil pH, bioavailable Cd (DTPA-Cd) and ryegrass biomass in acidic (AL), neutral (NH), and alkaline (BH) agricultural soils.Results and discussion The maximum adsorption capacity of AP@BC toward Cd2+ was 78.57 mg/g, which increased by 123.5% compared with pristine biochar. The Freundlich and Temkin equations satisfactorily fit the adsorption isotherm experimental data. Pot experiments revealed that the addition of AP@BC from 0.5 to 3% increased the pH of acidic and neutral soils while decreasing the pH of alkaline soils. Notably, the 3% treatment significantly reduced the DTPA-Cd contents in acidic, neutral, and alkaline soil by 8.00%, 22.45%, and 13.65%, respectively, compared to the control. And, ryegrass biomass increased most significantly in high-Cd-content soils (1.5–4.83 times for roots and 2.01–3.88 times for shoots). On the other hand, bioaccumulation and translocation coefficients decreased most in acidic soil (6.02-29.38% and 10.10-30.70%) compared to the control.Conclusions The introduction of -NH2 to the surface of the biochar made it much better at adsorption ability. AP@BC reduced the Cd availability in three contaminated soils and most significantly in the acidic soil. It increased ryegrass roots and shoots biomass in high-Cd-content soil. The above results indicate that AP@BC is a promising passivator for the remediation of practical Cd-contaminated agriculture soil.

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Effect of alternating wetting and drying cycles on selenium aging in three soils amended with selenate/selenite

Hui ZhaiPornpimol KleawsampanjaiRongmao WangFei Zhou...

1532-1543页

查看更多>>摘要：Abstract Purpose The application of exogenous Se to soil is commonly practiced to elevate the Se content in crops, but how the alternating wetting and drying (AWD) cycles caused by precipitation or irrigation influences the environmental fate of Se is still unclear. This study aimed to explore the effects of the AWD cycles on Se aging in loess soil (LS), black soil (BS), and krasnozem (KS) treated with selenate/selenite during 140 d.Method The measurement of Se species and fractions, as well as the kinetic simulation of the available Se fraction, aims to clarify the impact of the AWD cycles on the Se aging process. Soil pH, redox potential (Eh), and dissolved organic carbon (DOC) were determined to investigate the influencing factors of Se aging.Results The AWD cycles elevated the pH and reduced the Eh in LS and KS, while both the pH and Eh in BS were reduced. In addition, the DOC contents of BS were higher than that of LS and KS. The dominant Se species in the available Se fractions of LS and BS treated with selenate shifted from Se(VI) to Se(IV) as the AWD cycles progressed. The AWD cycles transformed the available Se to residual Se in soils treated with selenate/selenite. The equilibrium time for the aging of selenate or selenite in KS was only 42 d, whereas achieving equilibrium for Se aging in LS and BS required 98 to 126 d. The available Se content and Se aging rate of KS were greater than those of LS and BS in the selenate treatments. Furthermore, the selenate aging rates were accelerated compared to the selenite rates in BS and LS.Conclusions The AWD cycles had different effects on the aging of selenate and selenite in different types of soil. This study can offer a comprehensive understanding of the effects of the precipitation and irrigation on the environmental fate of Se.

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Remediation of Pb-contaminated soils using thermally activated Mg-Al hydrotalcite

Chun-Yan CaoWen-Ling LongSi-Lin ChenMing-Hui Nie...

1544-1553页

查看更多>>摘要：Abstract Purpose The lead (Pb) pollution in agricultural soils poses a significant threat to crop growth and human health, therefore, it is urgent to remediate lead-contaminated soil. In this study, the thermally activated Mg-Al hydrotalcite prepared by simply calcining the original Mg-Al hydrotalcite at various temperatures (200, 400, 600, and 800 °C) was employed to immobilize Pb in soil. The influence of calcination temperature of Mg-Al hydrotalcite on Pb immobilization efficiency was investigated.Methods The immobilization effect of Pb by natural and thermally activated Mg-Al hydrotalcite was comprehensively examined through soil incubation experiments. In addition, DFT calculation and XRD, XPS, FTIR characterizations further revealed the immobilization mechanism of materials.Results The addition of thermally activated Mg-Al hydrotalcite significantly reduced the content of TCLP-Pb (toxicity characteristic leaching procedure-Pb) in soil, primarily through its induction of soil pH increase. Moreover, the transformation of Pb from the acid-soluble form to the residual form in soil could be promoted by adding thermally activated Mg-Al hydrotalcite, thereby reducing its bioavailability. Adding 3% CHT600 (Mg-Al hydrotalcite activated at 600 °C) into the soil with 150 days of incubation exhibited better performance to immobilization of Pb, and it could reduce the acid-soluble Pb fractions by 29% and increase the residual Pb 40% relative to the control group, respectively. By virtue of XRD, XPS, and DFT calculation, it would be inferred that the bioavailable form of Pb could be effectively reduced by thermally activated Mg-Al hydrotalcite through electrostatic attraction, physical adsorption, precipitation, complexation, and so on.Conclusion An efficient thermally activated Mg-Al hydrotalcite for Pb immobilization in soil was obtained by optimizing the calcination temperature. Meanwhile, the increase of soil pH value, thermally activated Mg-Al hydrotalcite application amount, incubation time, and material properties would play an important role in immobilization heavy metal. This result provided a new insight into developing cost-effective, environmentally friendly Mg-Al hydrotalcite for scalable remediation of Pb-contaminated soils.

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Springer Nature

Comparison of geostatistics, machine learning algorithms, and their hybrid approaches for modeling soil organic carbon density in tropical forests

Viet Hoang HoHidenori MoritaThanh Ha HoFelix Bachofer...

1554-1577页

查看更多>>摘要：Abstract Purpose Understanding the spatial variability of soil organic carbon density (SOCD) in tropical forests is necessary for efficient climate change mitigation initiatives. However, accurately modeling SOCD in these landscapes is challenging due to low-density sampling efforts and the limited availability of in-situ data caused by constrained accessibility. In this study, we aimed to explore the most suitable modeling technique for SOCD estimation in the context of tropical forest ecosystems.Methods To support the research, thirty predictor covariates derived from remote sensing data, topographic attributes, climatic factors, and geographic positions were utilized, along with 104 soil samples collected from the top 30 cm of soil in Central Vietnamese tropical forests. We compared the effectiveness of geostatistics (ordinary kriging, universal kriging, and kriging with external drift), machine learning (ML) algorithms (random forest and boosted regression tree), and their hybrid approaches (random forest regression kriging and boosted regression tree regression kriging) for the prediction of SOCD. Prediction accuracy was evaluated using the coefficient of determination (R2), the root mean squared error (RMSE), and the mean absolute error (MAE) obtained from leave-one-out cross-validation.Results The study results indicated that hybrid approaches performed best in predicting forest SOCD with the greatest values of R2 and the lowest values of MAE and RMSE, and the ML algorithms were more accurate than geostatistics. Additionally, the prediction maps produced by the hybridization showed the most realistic SOCD pattern, whereas the kriged maps were prone to have smoother patterns, and ML-based maps were inclined to possess more detailed patterns. The result also revealed the superiority of the ML plus residual kriging approaches over the ML models in reducing the underestimation of large SOCD values in high-altitude mountain areas and the overestimation of low SOCD values in low-lying terrain areas.Conclusion Our findings suggest that the hybrid approaches of geostatistics and ML models are most suitable for modeling SOCD in tropical forests.

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Driving variables to explain soil organic carbon dynamics: páramo highlands of the Ecuadorian Real mountain range

Andrés A. Beltrán-DávalosJohanna Elizabeth Ayala IzurietaMagdy EcheverríaCarlos Arturo Jara Santillán...

1578-1597页

查看更多>>摘要：Abstract Purpose Large soil organic carbon (SOC) reserves and a high soil capacity for SOC storage within an ecosystem contribute to mitigating the release of carbon into the atmosphere. Developing new spatially-explicit SOC estimation methods at local and micro-watershed scales is essential for gaining landscape understanding of SOC variability.Methods This study provides new insights into the spatial variability of SOC in the Andean páramo soils. A range of variables from different sources (i.e., geophysical, meteorological, topographic, and spectral) were analyzed to identify driving variables to explain the SOC dynamic in the Andean páramo highlands of the Real range in the central region of Ecuador. This information was used to calibrate a SOC prediction model using Classification and Regression Trees (CART) and soil data samples from the 0–30 cm soil horizon.Results Eight key variables linking with the SOC storage were used to calibrate the model for SOC estimation with an accuracy of 67% with an RMSE value of 2.17%. Results reveal that sand content emerged as the most significant variable, while taxonomic suborder and protected area variables provided crucial supplementary information. This study improves the ability to detect changes in SOC, particularly in smaller areas where traditional predictors, often more suitable for regional or national assessments, may exhibit insufficient explanatory power.Conclusion The Andean páramo highlands of the Real range show high capacity for storing SOC, with values ranging from 3.5% to 19%. This variability highlights the ecosystem's importance as a globally relevant carbon reservoir.

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Springer Nature

Impact of irrigation strategies on methane emission and absorption characteristics at different interfaces in rice field systems

Cong WangLei LiuHuifeng SunXianxian Zhang...

1598-1610页

查看更多>>摘要：Abstract Purpose Recent research has demonstrated that modifying irrigation strategies during rice cultivation can substantially reduce methane (CH4) emissions. Under specific irrigation strategies, rice paddies may even function as a sink for CH4. This study aims to elucidate how changes in irrigation strategies alter CH4 exchange between rice paddies and the atmosphere via the plant-atmosphere (P-A) and soil-atmosphere (S-A) interfaces, ultimately achieving CH4 emission reductions.Methods Continuous monitoring of CH4 emissions was performed in water-saving and drought-resistance (WDR) rice fields under conventional irrigation (CI) and drought cultivation (DC) conditions. Synchronous in-situ 13C pulse labelling was applied during the tillering and booting stages to quantify CH4 emission and absorption at the P-A and S-A interfaces.Results Under CI conditions, the seasonal cumulative CH4 emissions from WDR rice fields amounted to 85.1 ± 18.5 kg CH4 hm−2, whereas DC led to a net seasonal absorption of 1.1 ± 0.11 kg CH4 hm−2. The results of the 13C in-situ pulse labelling indicate that the substantial reduction in CH4 emissions from WDR rice fields under DC treatment, compared to CI treatment, is primarily due to decreased CH4 emissions at the P-A and S-A interfaces during the tillering stage. The net absorption of CH4 under DC treatment is mainly attributed to enhanced absorption fluxes at these interfaces during the booting stage.Conclusion This study quantitatively evaluates the impact of various irrigation strategies on CH4 emission and absorption at different interfaces in rice field systems. Our findings reveal that irrigation strategies not only change the patterns of CH4 release from rice fields to the atmosphere but also influence their capacity to absorb atmospheric CH4. These results provide essential data for advancing research on irrigation-based technologies aimed at reducing CH4 emissions in rice cultivation.

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An improved model for estimating soil organic matter content in salt-affected farmlands based on multi-source spectral data coupled with environmental variables

Qidong DingHuayu HuangJunhua ZhangLingbin Yang...

1611-1627页

查看更多>>摘要：Abstract Purpose Accurate estimation of soil organic matter (SOM) content in a timely manner is crucial for soil management in salt-affected farmlands. The aim of the present study was to develop a machine learning model for SOM estimation in salt-affected farmlands using multi-source remote sensing data coupled with environmental variables.Materials and methods SOM content and ground hyperspectral reflectance (H) were measured in nine representative farmland sites of the Hetao Plain, northern China. Multi-source remote sensing images were acquired by Landsat 9 OLI (L), Sentinel- 2 MSI (S), and Sentinel- 1 SAR. In addition to single bands, 13 spectral indices (SI) were constructed and 11 environmental variables (EV) were introduced for SOM modeling. After variable selection by the gradient boosting machine, random forest models were developed based on different variable combination strategies.Results The SOM contents in the study area were generally low (2.24–23.70 g·kg−1) with moderate spatial heterogeneity. Temperature, precipitation, evapotranspiration, and combined radar polarimetric indices contributed substantially to SOM modeling. The model based on H + L + S + SI + EV showed the best performance, and its R2 value (0.893 in the validation set) was 0.249–0.318 greater than those of the models based on H + SI + EV, S + SI + EV, and L + SI + EV.Conclusion Shapley Additive exPlanations analysis identified mean annual precipitation as the overarching environmental variable influencing SOM estimation. Accurate mapping of SOM distribution across the study area was achieved using the optimal model with Sentinel- 2 images. This study presents a useful tool for rapid monitoring of SOM in salt-affected farmlands over large scales.

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Influence of soil substrate availability and plant species diversity on soil microbial biomass and enzyme activity in a subalpine natural secondary forest

Tiantian TangZongda D. HuYihao WangJing Hu...

1628-1642页

查看更多>>摘要：Abstract Purpose Natural secondary forests play an important role in terrestrial carbon cycling. Different forest types have effects on soil substrate availability and soil microbial diversity, which also could have significant effects on soil carbon sequestration and soil quality in forest ecosystems. However, the mechanisms underlying the response of soil microbial biomass (SMB), extracellular enzyme activity (EEA), and their stoichiometric characteristics are still poorly understood, especially in similar soil parent materials and microclimates.Materials and methods In this study, three different natural secondary forests (BF: green maple + coarse birch + red birch broad-leaved forest; CBF: red birch + green maple + fir mixed coniferous and broad-leaved forest; CF: fir coniferous forest) with similar soil parent materials were selected to explore how species diversity and soil substrate availability may influence the SMB, EEA, and their stoichiometric ratios.Results The results showed that MBC was significantly higher in BF than in CF, but MBN and MBP were less affected by forest types. CF had the highest MBC: MBN compared with CBF and BF, whilst MBC: MBP and MBN: MBP maintained relatively homeostatic. The C- related EEAs and their stoichiometric ratios varied significantly among forest types, but N- related EEAs varied slightly. Additionally, the variation of soil quality index (SQI) was similar to MBC. SMB, EEA, and their stoichiometric ratios were very responsive to the SQI, soil substrate availability, and species diversity, respectively. Redundancy analysis further showed that different SMB and EEA were mainly regulated by SQI, alkali-hydrolyzale N (AN), NO3−-N, and Shannon diversity index of the tree layer and herb layer (H’T and H’H). Furthermore, variance partitioning analysis demonstrated that AN had a greater impact on SMB and EEA compared to plant species diversity.Conclusion Our study emphasized that soil N availability and plant species diversity play the key roles in influencing SMB and EEA in secondary forests, which has implications for applying nitrogen fertilizer and replanting nitrogen-fixing tree species to enhance soil microbial activity and soil quality in natural secondary forests.

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