Divergent rainfall infiltration patterns on the Chinese Loess Plateau between growing and non-growing seasons after long-term revegetation DOI
R.Y. Li,

Bihang Fan,

Zhao Jin

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 641, P. 131816 - 131816

Published: Aug. 13, 2024

Language: Английский

Soil quality evaluation of different land use modes in small watersheds in the hilly region of southern Jiangsu DOI Creative Commons

Ziyi Zhu,

Jianyu Chen, Haibo Hu

et al.

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

7

Effect of environmental factors on soil properties under different land use types in a typical basin of the North China Plain DOI
Zhaohui Feng, Lingqing Wang, Qin Peng

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 344, P. 131084 - 131084

Published: Feb. 25, 2022

Language: Английский

Citations

26

Responses and comprehensive evaluation of growth characteristics of ephemeral plants in the desert–oasis ecotone to soil types DOI
Mengwen Peng,

Hao He,

Zhongke Wang

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 316, P. 115288 - 115288

Published: May 17, 2022

Language: Английский

Citations

23

Spatio-temporal dynamics of land use transitions associated with human activities over Eurasian Steppe: Evidence from improved residual analysis DOI
Faisal Mumtaz, Jing Li, Qinhuo Liu

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 905, P. 166940 - 166940

Published: Sept. 9, 2023

Language: Английский

Citations

16

Assessment of soil quality in a heavily fragmented micro-landscape induced by gully erosion DOI Creative Commons
Xin Chen, Xin Zhang, Yujie Wei

et al.

Geoderma, 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

15

Contributions of climate change and human activities to grassland degradation and improvement from 2001 to 2020 in Zhaosu County, China DOI

Mengru Zhang,

Zhang Fei, Li-Yang Guo

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 348, P. 119465 - 119465

Published: Nov. 3, 2023

Language: Английский

Citations

14

Impacts of afforestation on land surface temperature in different regions of China DOI
Guanghui Yuan,

Wenhui Tang,

Tianci Zuo

et al.

Agricultural and Forest Meteorology, Journal Year: 2022, Volume and Issue: 318, P. 108901 - 108901

Published: March 17, 2022

Language: Английский

Citations

20

Deciphering spatial variability and dominant controls of soil quality under four types of grassland along a southeast-northwest transect in Tibet, southwestern China DOI
Wen Zhao,

Laiming Huang

CATENA, Journal Year: 2024, Volume and Issue: 243, P. 108221 - 108221

Published: July 1, 2024

Language: Английский

Citations

4

A Quantitative Evaluation of Landscape Patterns’ Impact on Soil Quality: A Regional-Scale Case Study DOI

Makram Akram Hassan Alogaidi,

Farrokh Asadzadeh, Salar Rezapour

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 7, 2025

Language: Английский

Citations

0

The response of soil eukaryotic microbial communities to afforestation in mountainous area of the Loess Plateau, Northern China DOI Creative Commons
Yida An, Lei Zhang, Suqing Li

et al.

PLoS 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