Decoupling the effects of near-surface characteristic change on soil roughness in a dune-meadow cascade ecosystem DOI
Jian Luo, Yang Li, Ruihong Yu

et al.

CATENA, Journal Year: 2024, Volume and Issue: 246, P. 108390 - 108390

Published: Sept. 12, 2024

Language: Английский

A Novel Model for Soil Organic Matter and Total Nitrogen Detection Based on Visible/Shortwave Near-Infrared Spectroscopy DOI Creative Commons
Jiangtao Qi, Peng Cheng,

Junbo Zhou

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 329 - 329

Published: Feb. 6, 2025

Soil organic matter (SOM) and total nitrogen (TN) are critical indicators for assessing soil fertility. Although laboratory chemical analysis methods can accurately measure their contents, these techniques time-consuming labor-intensive. Spectral technology, characterized by its high sensitivity convenience, has been increasingly integrated with machine learning algorithms nutrient monitoring. However, the process of spectral data remains complex requires further optimization simplicity efficiency to improve prediction accuracy. This study proposes a novel model enhance accuracy SOM TN predictions in northeast China’s black soil. Visible/Shortwave Near-Infrared Spectroscopy (Vis/SW-NIRS) within 350–1070 nm range were collected, preprocessed, dimensionality-reduced. The scores first nine principal components after partial least squares (PLS) dimensionality reduction selected as inputs, measured contents used outputs build back-propagation neural network (BPNN) model. results show that processed combination standard normal variate (SNV) multiple scattering correction (MSC) have best modeling performance. To stability this model, three named random search (RS), grid (GS), Bayesian (BO) introduced. demonstrate Vis/SW-NIRS provides reliable PLS-RS-BPNN achieving performance (R2 = 0.980 0.972, RMSE 1.004 0.006 TN, respectively). Compared traditional models such forests (RF), one-dimensional convolutional networks (1D-CNNs), extreme gradient boosting (XGBoost), proposed improves R2 0.164–0.344 predicting 0.257–0.314 respectively. These findings confirm potential technology effective tools prediction, offering valuable insights application sensing information.

Language: Английский

Citations

1

Evaluating the impact of soil erosion on soil quality in an agricultural land, northeastern China DOI Creative Commons
Haiyan Fang, Yuyu Zhai, Chaoyue Li

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 7, 2024

Abstract The impact of soil erosion on quality is still not systematically understood. purpose this study was thus to quantify the and its change with slope morphology in an agricultural field, northeastern China based radionuclide 137 Cs, unmanned aerial vehicle derived high resolution digital elevation model, sampling. Cs method yielded average rate − 275 t km −2 yr −1 ranging from 1870 1557 . index total dataset (SQI_TDS) can be well explained by that minimum data set (SQI_MDS) a determination coefficient R 2 0.874. SOM, sand, cation exchange capacity MDS play more important roles than other indicators. Soil significantly affected erosion, Adj. 0.29 0.33 for SQI_TDS SQI_MDS, respectively. spatial variations were both topography. must controlled according topographic characteristics China.

Language: Английский

Citations

6

Constructing and Spatially Differentiating Soil Quality Indices in Qiqihar’s Typical Black Soil Zone: A Case Study of Tailai, Longjiang, and Gannan Counties, China DOI Creative Commons
Lei Wang, Min Pang, Na Wang

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(4), P. 773 - 773

Published: March 21, 2025

Black soils in Qiqihar City are comprised primarily of black soil. They have been extensively exploited for agriculture. To investigate the spatial distribution this region, we analyze 72 samples collected from Tailai, Longjiang, and Gannan counties. A soil quality index (SQI) based on a subset measured indicators is constructed to comprehensively evaluate quality. We report an average bulk density these areas 1.42 g/cm3, indicating relatively high compaction density. The moisture content (19%) low. In some areas, electrical conductivity reaches 2.92 μS/cm, mild salinization (<4 μS/cm). Overall nutrient levels high, but they poor. Principal components correlation analyses identify five nine (soil density, pH, moisture, nitrate nitrogen, organic matter contents) that adequately characterize SQI values reveal decrease along north–south gradient, sand be highest County lowest Tailai County. Overall, These results provide scientific foundation data support restoration ecological construction efforts areas.

Language: Английский

Citations

0

Potential contributors to the quality of degraded soils in a hilly red soil region of southern China DOI

Yuna Li,

Xu Meng, Shulan Cheng

et al.

Pedosphere, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

Gully-ERFNet: a novel lightweight deep learning model for extracting erosion gullies in the black soil region of Northeast China DOI Creative Commons

Q. B. Li,

Jiuchun Yang, Jiaqi Wang

et al.

International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)

Published: April 21, 2025

Language: Английский

Citations

0

Soil quality improvement on Qinghai-Tibet Plateau induced by soil hydrothermal changes from 1980s to 2020s DOI Creative Commons
Kuan Chen,

Jingyao Suo,

Xiaodong Song

et al.

Geoderma, Journal Year: 2025, Volume and Issue: 455, P. 117235 - 117235

Published: March 1, 2025

Language: Английский

Citations

0

Prioritizing microbial functions over soil quality for enhanced multifunctionality in saline-sodic soil remediation DOI
Tairan Zhou,

Luxin Zhang,

Xu Yang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 379, P. 124731 - 124731

Published: March 6, 2025

Language: Английский

Citations

0

Long-term Kentucky bluegrass cultivation enhances soil quality and microbial communities on the Qinghai-Tibet Plateau DOI Creative Commons

Sida Li,

Zhenghai Shi, Wenhui Liu

et al.

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: March 24, 2025

Introduction Nature-based Solutions (NbS) provide a comprehensive strategy for environmental management, focusing on the protection, sustainable use, and restoration of natural modified ecosystems. Cultivated grasslands are form NbS, offering benefits such as increased biodiversity, improved soil fertility, greater ecosystem resilience. They widely acknowledged their positive impact restoring degraded grasslands. Kentucky bluegrass (Poa pratensis L.) is used Qinghai-Tibet Plateau. However, long-term cultivation can lead to above-ground degradation, which challenges its effectiveness in health. Methods This study investigates impacts quality, nutrients, enzyme activities, microbial communities across different recovery stages. Field experiments were conducted analyze quality dynamics during early (2nd year), mid (6th late (10th year) succession stages cultivated Our results show that mid-stages, total nitrogen, phosphorus, organic carbon storage significantly lower compared undegraded grasslands, with lowest observed stage (P&lt; 0.05). by stage, improved, contents exceeding those 14.59%. These improvements driven enhanced community nitrogen cycling promoted nutrient utilization matter decomposition. process was accompanied rise diversity, supporting resilience function. Soil emerged key determinant both appropriate fertilization strategies found effectively enhance grassland productivity Discussion Overall, this highlights potential improving fertility structure over time, providing insights into management practices maintain services

Language: Английский

Citations

0

The Spatiotemporal Characteristics and Driving Factors of Soil Degradation in the Black Soil Region of Northeast China DOI Creative Commons
Zixuan Wu,

Jingyi Jiang,

Wencai Dong

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(12), P. 2870 - 2870

Published: Dec. 1, 2024

The Northeastern Black Soil Region in China is recognized as one of the three major black soil regions globally and often regarded a cornerstone national food security. However, prolonged agricultural practices have led to increasingly severe degradation, mechanisms driving factors behind degradation quality remain unclear. Therefore, this study examines historical current characteristics quality, focusing on influencing factors, such 70-year history reclamation climate change. By accessing different databases, reviewing relevant literature, performing Pearson correlation redundancy analyses (RDA), investigated variation patterns significant indicators their 0–20 cm layer along latitudinal direction (Nenjiang, Beian, Hailun, Harbin) typical region Northeast China. main conclusions are follows: organic matter (SOM) content experienced rapid decline 30 years preceding cultivation (1950~1980), with greatest rate Beian area (about 1.10 g/kg per year). SOM Harbin areas decreased from north south, changing at rates 9.40–21.67 g/kg/degree 0.15–0.34 g/kg/m latitude elevation, respectively. Elevation impacts annual change through its influence mean maximum temperature (AMXT) atmospheric pressure (AP). AMXT AP exhibit linear relationship based which regression models were established. key include (Y), minimum temperatures (AMXT AMNT), relative humidity (ARH), AP. An increase chemical fertilizer application among critical affecting pH. Additionally, extensive use machinery can reduce porosity cause water salt accumulation, ultimately leading This offers theoretical support for mitigating China’s region, thereby contributing security promoting sustainable development.

Language: Английский

Citations

2

Variations in soil quality indicators under different cultivation ages and slope positions of arable land in the Mollisol region of China DOI

Bao Liu,

Yanru Wen, Litao Lin

et al.

CATENA, Journal Year: 2024, Volume and Issue: 246, P. 108418 - 108418

Published: Sept. 23, 2024

Language: Английский

Citations

1