Unraveling the spatial heterogeneity of dissolved organic matter characteristics from the optical level in slope-gully systems DOI
Yuyan Yang, Hao Wang, Zixin Wang

et al.

CATENA, Journal Year: 2024, Volume and Issue: 248, P. 108567 - 108567

Published: Nov. 26, 2024

Language: Английский

Migration of dissolved organic carbon in the hydrological processes and driving factors on the Loess Plateau DOI

Liangpeng Ge,

Zongbing Zhan,

Xuemei Mei

et al.

CATENA, Journal Year: 2025, Volume and Issue: 254, P. 108937 - 108937

Published: March 16, 2025

Language: Английский

Citations

0
Optimization of motion strategy for a micro multi-functional chassis based on RBF neural network in intercropping mode DOI

Ling Hao,

Tengfei Wu,

Yonghui Wu

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 235, P. 110316 - 110316

Published: April 5, 2025

Language: Английский

Citations

0
Biochar addition under straw return reduces carbon dioxide and nitrous oxide emissions in acidic tea field soil DOI
Ziwei Yan, Shuirong Tang,

Zhilong He

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122498 - 122498

Published: Sept. 16, 2024

Language: Английский

Citations

3
Soil porosity as a key factor of soil aggregate stability: insights from restricted grazing DOI Creative Commons
Yongqiang Yang, Zhongju Meng, Haonian Li

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 24, 2025

Overgrazing leads to steppe degradation and soil structure deterioration, which is common in desert steppes. Restricted grazing a sustainable practice, but the mechanisms by responds restricted have received little attention. This study examined effects of two different management strategies, namely, free (CK), on indicators steppe. The further included exclusion (GE) seasonal (SG). Additionally, preliminary exploration was conducted identify main factors affecting aggregate stability. Our results demonstrated that GE significantly increased clay (<0.002 mm) silt (0.002–0.02 0–10 cm 10–20 layers an average 71.27% 70.64%, respectively. SG mm), macroaggregates (>0.25 layer. organic carbon 7.02 g/kg 7.45 g/kg, In addition, had no significant effect carbon. findings obtained from computations using boosted regression tree (BRT) that, within period, porosity affects stability compared other factors. Moreover, it possessed explanatory power surpassed 45%. Overall, better under than SG, key improving research will contribute more profound comprehension impact structure. Therefore, recommended closures be prioritized grasslands promote coordination between grassland restoration livestock development.

Language: Английский

Citations

0
Detection of negative consequences of traffic on subsoil properties depends on measurement type and scale: The case of a Calcaric Chernozem DOI Creative Commons
Maliheh Fouladidorhani, Mathieu Lamandé, Gerhard Moitzi

et al.

Soil and Tillage Research, Journal Year: 2025, Volume and Issue: 252, P. 106615 - 106615

Published: April 25, 2025

Language: Английский

Citations

0
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
Spatial Mapping of Soil CO2 Flux in the Yellow River Delta Farmland of China Using Multi-Source Optical Remote Sensing Data DOI Creative Commons
Wenqing Yu,

Shuo Chen,

Weihao Yang

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(9), P. 1453 - 1453

Published: Aug. 25, 2024

The spatial prediction of soil CO2 flux is great significance for assessing regional climate change and high-quality agricultural development. Using a single satellite to predict limited by climatic conditions land cover, resulting in low accuracy. To this end, study proposed strategy multi-source spectral coordination selected seven optical remote sensing data sources (i.e., GF1-WFV, GF6-WFV, GF4-PMI, CB04-MUX, HJ2A-CCD, Sentinel 2-L2A, Landsat 8-OLI) extract auxiliary variables vegetation indices texture features). We developed tree-structured Parzen estimator (TPE)-optimized extreme gradient boosting (XGBoost) model the mapping flux. SHapley additive explanation (SHAP) was used analyze driving effects on A scatter matrix correlation analysis showed that distributions were skewed, linear correlations between them (r < 0.2) generally weak. Compared with single-satellite variables, TPE-XGBoost based multiple-satellite significantly improved accuracy (RMSE = 3.23 kg C ha−1 d−1, R2 0.73), showing stronger fitting ability variability results revealed high-flux areas mainly concentrated eastern northern farmlands. SHAP PC2 TCARI 2-L2A TVI HJ2A-CCD had significant positive above indicate integration can enhance reliability predictions flux, thereby supporting sustainable development response strategies.

Language: Английский

Citations

0
Unraveling the spatial heterogeneity of dissolved organic matter characteristics from the optical level in slope-gully systems DOI
Yuyan Yang, Hao Wang, Zixin Wang

et al.

CATENA, Journal Year: 2024, Volume and Issue: 248, P. 108567 - 108567

Published: Nov. 26, 2024

Language: Английский

Citations

0