Natural Revegetation Alters Habitat Conditions, Bacterial Components, and Polycyclic Aromatic Hydrocarbon (PAH)-Degrading Communities in Aged PAH-Polluted Soils DOI Creative Commons

Jialong Huang,

Heng Liang, Lilong Huang

и другие.

Microorganisms, Год журнала: 2025, Номер 13(5), С. 1098 - 1098

Опубликована: Май 9, 2025

The vegetation restoration of contaminated sites plays a critical role in ensuring the sustained stability and functional integrity natural ecosystems. However, during revegetation process, variations habitat conditions, bacterial community structure, metabolic functions aged, polluted soil are still unclear. In present study, we investigated polycyclic aromatic hydrocarbon (PAH)-polluted soils at closed, abandoned oil well from Yellow River Delta. Using gene amplification real-time qPCR methods, abundance, taxonomy, diversity characteristics indigenous communities bacteria carrying C12O genes both vegetated bare were investigated. results show that significantly changes physicochemical parameters, PAH content, structure PAH-polluted soils. When comparing abundance components PAH-degrading soils, potential was revealed to be stimulated by communities. Through correlation analysis, dual stress salinity contamination mediated through alterations soil’s properties local vegetation. network analysis have higher connectivity. These elucidate components, following restoration, providing insights for optimizing ecological rehabilitation strategies salinized

Язык: Английский

Effects of Long-Term Land Use Patterns on Labile Organic Carbon Fractions and Carbon Pool Management Index of Mollisols Humus Layers DOI Creative Commons

Xinqu Duo,

Jinggui Wu,

Wei Cheng

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(3), С. 1006 - 1006

Опубликована: Янв. 21, 2025

Land use patterns significantly influence the quantity and composition of litter in soil humus layers, thereby affecting dynamics organic carbon. However, differences labile carbon fractions sequestration index under different land patterns, as well their impact on storage layers mollisols—without migration loss erosion—remain unclear. Labile is classified into such dissolved carbon, easily oxidized particulate microbial biomass which are identified through chemical extraction methods. This study investigates long-term dynamics, pools, KOS, CPMI mollisols across five treatments: SC (continuous soybean cultivation), MC maize MSR (maize–soybean rotation), GB (grass belt), FB (forest belt). It also selects three depths (0–20 cm, 20–40 40–60 cm) over an 11-year period for analysis. The results indicate that (EOC, POC, DOC, MBC), decrease with depth, while KOS increases. Non-tillage treatments enhance SOC accumulation exhibiting highest content, surpassing GB, MC, SC, by 22.88%, 52.35%, 60.64%, 80.12%, respectively. can fractions, aligning observed trends treatment optimal. Additionally, these increase CPMI, improving stability. To minimize loss, should encourage conversion farmland to grassland forest, recommended optimal strategy protection sustainable development soils long term. approach significant understanding cycle, rationally planning strategies, providing a reference enhancing quality ecosystem sinks.

Язык: Английский

Процитировано

0

High-Resolution Mapping of Cropland Soil Organic Carbon in Northern China DOI Creative Commons

Rui Wang,

Wenbo Du, Ping Li

и другие.

Agronomy, Год журнала: 2025, Номер 15(2), С. 359 - 359

Опубликована: Янв. 30, 2025

Mapping the high-precision spatiotemporal dynamics of soil organic carbon (SOC) in croplands is crucial for enhancing fertility and sequestration ensuring food security. We conducted field surveys collected 1121 samples from cropland Changzhi, northern China, 2010 2020. Random Forest (RF) models combined with 19 environmental covariates were used to map topsoil (0–20 cm) SOC 2020, uncertainty maps calculate dynamic changes between Finally, RF Structural Equation Modeling (SEM) employed explore effects climate, vegetation, topography, properties, agricultural management on variation croplands. Compared prediction model using only natural variables (RF_C), incorporating (RF_A) significantly improved simulation accuracy SOC. The coefficient determination (R2) increased 0.77 0.85, while Root Mean Square Error (RMSE) decreased 1.74 1.53 g kg−1, Absolute (MAE) was reduced 1.10 0.94 kg−1. our predictions low, an average value 0.39–0.66 From Changzhi exhibited overall increasing trend, increase 1.57 Climate change, management, properties strongly influence variation. annual precipitation (MAP), drainage condition (DC), net primary productivity (NPP) drivers variability. Our findings highlight effectiveness predicting Overall, study confirms that has great potential stocks, which may contribute sustainable development.

Язык: Английский

Процитировано

0

Natural Revegetation Alters Habitat Conditions, Bacterial Components, and Polycyclic Aromatic Hydrocarbon (PAH)-Degrading Communities in Aged PAH-Polluted Soils DOI Creative Commons

Jialong Huang,

Heng Liang, Lilong Huang

и другие.

Microorganisms, Год журнала: 2025, Номер 13(5), С. 1098 - 1098

Опубликована: Май 9, 2025

The vegetation restoration of contaminated sites plays a critical role in ensuring the sustained stability and functional integrity natural ecosystems. However, during revegetation process, variations habitat conditions, bacterial community structure, metabolic functions aged, polluted soil are still unclear. In present study, we investigated polycyclic aromatic hydrocarbon (PAH)-polluted soils at closed, abandoned oil well from Yellow River Delta. Using gene amplification real-time qPCR methods, abundance, taxonomy, diversity characteristics indigenous communities bacteria carrying C12O genes both vegetated bare were investigated. results show that significantly changes physicochemical parameters, PAH content, structure PAH-polluted soils. When comparing abundance components PAH-degrading soils, potential was revealed to be stimulated by communities. Through correlation analysis, dual stress salinity contamination mediated through alterations soil’s properties local vegetation. network analysis have higher connectivity. These elucidate components, following restoration, providing insights for optimizing ecological rehabilitation strategies salinized

Язык: Английский

Процитировано

0