Effects of Land Uses on Soil Quality Indicators: The Case of Geshy Subcatchment, Gojeb River Catchment, Ethiopia by Melku Dagnachew, Awdenegest Moges, Asfaw Kebede Kassa

“…The sand, dry soil bulk density ρb, volumetric soil water contents (VSWC), total porosity, water infiltration rates, cumulative infiltration, and total nitrogen showed significant variations between the natural forest and the other LU types and soil depths (p<0.05). However, silt, clay, soil pH, SOC contents, carbon-to-nitrogen ratio, and available phosphorus did not show significant variations between LU types and soil depths (p>0.05). …”
Get full text

Experimental Study on Thermal Conductivity of Organic-Rich Soils under Thawed and Frozen States by Ruixia He, Ning Jia, Huijun Jin, Hongbo Wang, Xinyu Li

“…In this study, influences of soil temperature, soil moisture saturation (SMS), and soil organic matter (SOM) content on soil thermal conductivity were analyzed on the basis of laboratory experiments on the silt-organic soil mixtures of varied mixing ratios. …”
Get full text

Developing soil quality indices to investigate degradation impacts of different land use types in Northern Ethiopia by Araya Kahsay, Mitiku Haile, Girmay Gebresamuel, Muktar Mohammed

“…Twenty-two soil indicators responsible to changes in land use were screened as members of TDS. Four indicators (silt, mean weight diameter, visual evaluation of soil structure, and exchangeable calcium) were selected to establish MDS. …”
Get full text

Land Use and Land Cover Dynamics and Properties of Soils under Different Land Uses in the Tejibara Watershed, Ethiopia by Sabiela Fekad Fentie, Kehali Jembere, Endalkachew Fekadu, Dessale Wasie

“…The image analysis results for all of the years studied show that cultivated lands have increased in area at the expense of forest and grazing lands. Silt content, clay content, AP, and pH were significantly affected by land use as the main effect while the interaction effects of soil depth and land use were significant for total N and OM only. …”
Get full text

Coupling Action of Cooling and Dynamic Load Impact on Deformation Characteristics of High-Salinity Saline Soils by Yu Zhang, Meisi Zou, Runze Tian, Anhua Xu, Yunlong Hou, Bingbing Han, Xuemei Li

“…Firstly, the freezing temperature experiment was carried out on SS (sandy silt) and HS (high-sulfate silty clay). The test results showed that the freezing temperature of SS is -0.32°C, while that of HC (high-chloride silty clay) and HS will not freeze at -20°C, due to the presence of salt. …”
Get full text

Effects of Soil and Water Conservation Structures on Selected Soil Physicochemical Properties: The Case of Ejersa Lafo District, Central Highlands of Ethiopia by Adugna Tolesa, Siraj Mammo, Eve Bohnett

“…Soil moisture content (SMC), clay, pH, electrical conductivity (EC), total N (TN), available (AP), available K (AK), and organic carbon (OC) were higher in the subwatershed treated with SWC structures (conserved), whereas bulk density, silt, and sand were higher in the subwatershed without SWC structures (nonconserved). …”
Get full text

Phosphorus Dynamics in Managed and Natural Soils: SEM-PLS Analysis of <i>Vaccinium</i>, Forest, and Grassland Ecosystems by Chun Lu, Soh Sugihara, Satoshi Noma, Haruo Tanaka, Ryosuke Tajima, Shingo Matsumoto, Dai Hirose, Xueyan Zhang, Ning Wang, Takuya Ban

“…Utilizing global structural equation modeling (SEM), we found that silt content enhances organic phosphorus fractions, including NaHCO₃-Po and NaOH-Po. …”
Get full text

Interventional effects of different track and field sports on human cardiovascular function indicators and physiological energy metabolism by Ruibin Jing, Zhengwei Wang, Choi Mee-Seong

“…The COSMED K5 portable gas metabolism analysis system was used to measure cardiopulmonary function, and key indicators such as Maximum Oxygen Uptake (VO2max) were evaluated using a Stepwise Increasing Load Test (SILT). The two factor repeated measures ANOVA method was used to analyze the effects of different load levels and groups on cardiopulmonary function and energy metabolism. …”
Get full text

Metagenomic analysis of fungal assemblages at a regional scale in high-altitude temperate forest soils: alternative methods to determine diversity, composition and environmental dr... by Stephanie Hereira-Pacheco, Itzel Arias-Del Razo, Alejandra Miranda-Carrazco, Luc Dendooven, Arturo Estrada-Torres, Yendi E. Navarro-Noya

“…Potential hydrogen (pH), calcium (Ca), magnesium (Mg), and silt content were detected as common drivers of fungal communities across different datasets enriched towards a functional guild. …”
Get full text

Fracture, Dissolution, and Cementation Events in Ordovician Carbonate Reservoirs, Tarim Basin, NW China by Vinyet Baqués, Estibalitz Ukar, Stephen E. Laubach, Stephanie R. Forstner, András Fall

“…Mottle fabrics in the Yijianfang Formation contain argillaceous carbonate-rich silt and are bioturbation features formed within the marine environment. …”
Get full text

Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US by Sayantan Sarkar, Javier M. Osorio Leyton, Efrain Noa-Yarasca, Kabindra Adhikari, Chad B. Hajda, Douglas R. Smith

“…Sixty-two different predictors, including soil properties (sand, silt, and clay percentages), slope, spectral bands (red, green, blue, red-edge, NIR), vegetation indices (GNDRE, NDRE, TGI), color-space indices, and wavelengths were derived from the multispectral data collected at the seven (V4, V5, V6, V7, V9, V12, and V14/VT) growth stages of corn. …”
Get full text

Carbon Stock and Soil Characteristics under Expansive Shrubs in the Dry Afromontane Forest in Northern Ethiopia by Mebrahtu Haile, Emiru Birhane, Meley Mekonen Rannestad, Muyiwa S. Adaramola

“…Furthermore, the result revealed that most of the soil characteristics were significantly lower P<0.05 under the expansive shrubs invaded vegetation conditions except for significantly high sand content P<0.05. Silt, nitrogen, phosphorus, calcium, copper, and zinc did not significantly change with the cover of the expansive shrubs. …”
Get full text

Building a near-infrared (NIR) soil spectral dataset and predictive machine learning models using a handheld NIR spectrophotometerZenodo by Colleen Partida, Jose Lucas Safanelli, Sadia Mannan Mitu, Mohammad Omar Faruk Murad, Yufeng Ge, Richard Ferguson, Keith Shepherd, Jonathan Sanderman

“…Machine learning predictive models were developed for soil organic carbon (SOC), pH, bulk density (BD), carbonate (CaCO3), exchangeable potassium (Ex. K), sand, silt, and clay content from their spectra in the R programming language using most of this dataset (1,976 US soils) and are included in this data release. …”
Get full text

Effects of initial soil moisture on rill erodibility and critical shear stress factors in the WEPP model across diverse soil types by Fikret Ari, Selen Deviren Saygin, Cagla Temiz, Sefika Arslan, Mehmet Altay Unal, Gunay Erpul, Dennis C. Flanagan

“…Notably, initial soil moisture conditions exerted substantial influence on erodibility potentials. Soils with higher silt contents demonstrated better fits in terms of Nash-Sutcliffe model efficiency, particularly under initially dry and saturated conditions. …”
Get full text

Soil microbial community and influencing factors of different vegetation restoration types in a typical agricultural pastoral ecotone by Pei Huang, Pei Huang, Pei Huang, Hanyu Shi, Hanyu Shi, Lina Jiang, Duoping Zhu, Duoping Zhu, Zefeng Zhou, Zhenhong Hou, Xingyu Ma, Xingyu Ma

“…Bacterial community composition was found to be closely related to soil organic carbon (SOC), total nitrogen (TN), while that of fungi was closely related to SOC, clay and silt content. This improvement in microbial complexity enhances the ecological service function of the agricultural pastoral ecotone. …”
Get full text

Soil-plant-animal relationships and their effect on pasture-based milk production in Hacienda Cuba, Colombia by María A. López G., Ana G. Quintero M., Juan J. Zúñiga E., Felipe Vélez S., Juan F. Naranjo R., Óscar A. Sáenz R., Andrés F. Pérez R.

“…Our findings revealed that soil composition was 10% sand, 46% silt, and 44% clay, pH of 5.0, CEC of 15.16, and P of 11. …”
Get full text

Impact of Organic Agriculture on the Quality of Grapes (Syrah and Tempranillo) Harvested in Guanajuato, Mexico: Relationship Between Soil Elemental Profile and Grape Bioactive Prop... by Fabio Macías-Gallardo, Tannia Alexandra Quiñones-Muñoz, Raúl Miranda-Avilés, Luis Felipe Ramírez-Santoyo, Gabriela Ana Zanor, César Ozuna

“…The second component showed positive correlations between OM, silt, soil oxides, antioxidant capacity, and phenols in grape skin and seed. …”
Get full text

Differential responses of soil C, N, and P ecological stoichiometric characteristics to different configurations of edge-locked forests in the Kubuqi Desert by Xue Chen, Hejun Zuo, Hejun Zuo, Min Yan, Min Yan, Haibing Wang, Haibing Wang, Cheng Xi, Yinchao Chai

“…Both soil SOC and TN content decreased with increasing soil depth, whereas soil TP content displayed no considerable variation among different stand types or soil depths. (2) Based on the N/P threshold hypothesis, N was the limiting nutrient element for the growth of edge-locked forests in the region. (3) The understory soils of different configurations of edge-locked forests mainly comprised sand. The silt and clay contents of SL and NT + XYY were substantially higher than those of the other four configurations. …”
Get full text

Dispersion modelling of particulate matter concentrations of sand product plants in a mineral complex by Y. Zehtab Yazdi, N. Mansouri, F. Atabi, H. Aghamohammadi

“…This study was conducted to estimate dust concentrations released from these plants in a mineral complex in the southwest of Tehran.METHODS: Initially, the amount of silt and moisture content of the samples taken from these plants were determined according to the American Society for Testing and Materials C136 and D2216 methods, respectively. …”
Get full text

Simultaneous estimation of multiple soil properties from vis-NIR spectra using a multi-gate mixture-of-experts with data augmentation by Xiaoqing Wang, Mei-Wei Zhang, Ya-Nan Zhou, Lingli Wang, Ling-Tao Zeng, Yu-Pei Cui, Xiao-Lin Sun

“…In the present study, a MMoE was built based on a total of 17,272 mineral soil samples from the Land Use/Cover Area Frame Survey (LUCAS) topsoil database that includes vis-NIR spectra with ten physicochemical properties, i.e., clay, silt, sand, pH (in water), organic content (OC), calcium carbonate (CaCO3), nitrogen (N), phosphorous (P), potassium (K), and cation exchange capacity (CEC). …”
Get full text