Journal of Hydrology, Journal Year: 2024, Volume and Issue: 641, P. 131816 - 131816
Published: Aug. 13, 2024
Language: Английский
Journal of Hydrology, Journal Year: 2024, Volume and Issue: 641, P. 131816 - 131816
Published: Aug. 13, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111895 - 111895
Published: March 1, 2024
The Yixing Yuantianjian small watershed is a provincial soil erosion key management area in the hilly region of southern Jiangsu. It has been implemented national control project for management, which typical and representative region. important to quantitatively evaluate quality under different land use modes then select suitable ecological restoration measures promote economic construction watersheds Used four types (forest land, garden arable abandoned land) as research object, 13 physical chemical property indicators were screened based on principal component analysis, correlation analysis Norm value calculation construct minimum data set (MDS) evaluation. results showed that variability was higher than study area. MDS affected by are sand content (Sand), total nitrogen (TN), available (AN), potassium (AK), porosity (TSP) bulk density (BD), provide valid information with high accuracy. index areas Jiangsu SQI forest (0.83) > cultivated (0.74) (0.66) (0.46), at medium level. AN factor limiting this watershed. This can scientific basis enhancement
Language: Английский
Citations
7Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 344, P. 131084 - 131084
Published: Feb. 25, 2022
Language: Английский
Citations
26Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 316, P. 115288 - 115288
Published: May 17, 2022
Language: Английский
Citations
23The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 905, P. 166940 - 166940
Published: Sept. 9, 2023
Language: Английский
Citations
16Geoderma, Journal Year: 2023, Volume and Issue: 431, P. 116369 - 116369
Published: Feb. 9, 2023
Soil quality degradation induced by erosion significantly inhibits sustainable development worldwide. For assessment of soil variations in an area with a heavily fragmented micro-landscape gully erosion, 16 indicators were tested laboratory settings and selected principal component analysis (PCA). Meanwhile, prediction was conducted the random forest (RF) model its derived from 3-dimensional structure landscape (resolution, 0.01 m) obtained unmanned aerial vehicle (UAV). During RF modelling, 80 % Quality Indices (SQIs) estimated PCA randomly as training data, remaining used to validate result. The optimal SQIs shown include Mnd, bulk density, silt content, cation exchange capacity (CEC). Additionally, PCA-calculated SQI ranging 0.33 0.85 decreased decreasing elevation erosional area. Moreover, spatial predicted satisfied accuracy (R2 = 0.83 ∼ 0.86; RMSE 0.03 0.04) comparable SQI. Overall, variation attributed (13.4 24.1 %), slope gradient (8.0 13.4 relief amplitude (9.8 12.9 terrain roughness index (10.3 11.9 %). This study confirmed excellent performance for prediction, also indicated that ultra-high-resolution (0.01 (UAV) competent tool areas complicated microtopography limited availability sampling.
Language: Английский
Citations
15Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 348, P. 119465 - 119465
Published: Nov. 3, 2023
Language: Английский
Citations
14Agricultural and Forest Meteorology, Journal Year: 2022, Volume and Issue: 318, P. 108901 - 108901
Published: March 17, 2022
Language: Английский
Citations
20CATENA, Journal Year: 2024, Volume and Issue: 243, P. 108221 - 108221
Published: July 1, 2024
Language: Английский
Citations
4Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 7, 2025
Language: Английский
Citations
0PLoS ONE, Journal Year: 2025, Volume and Issue: 20(3), P. e0317235 - e0317235
Published: March 4, 2025
Soil microorganisms are integral to nutrient cycling, ecosystem functioning, and soil restoration. However, the information on response of eukaryotic microbial communities land-use transformations, particularly for afforestation, remains underexplored in mountainous region northwest Shanxi Loess Plateau. The study based high-throughput sequencing 18S rRNA sequences, elucidated impact afforestation this ecologically sensitive region. findings indicated that significantly altered composition communities. dominant phyla were Streptophyta (16.8%-46.9%) Ascomycota (20.5%-40.7%). At genus level, Gymnoascus, Preussia, Mortierella, Chaetomium Fusarium biomarkers microbes farmland soil, while unidentified Geopora enriched plantations soil. result non-metric multidimensional scaling (NMDS) analysis shows significant separation between plantation soils, which correlated with temperature (T), nitrate nitrogen (NN) available phosphorus (AP). These provided data support regional ecological restoration assessments, highlighted effect physicochemical factors communities, enhanced our understanding role modifying ecosystems.
Language: Английский
Citations
0