Xiaomi Wang
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View article: Inhibition of RNase to Attenuate Fungal‐Manipulated Rhizosphere Microbiome and Diseases
Inhibition of RNase to Attenuate Fungal‐Manipulated Rhizosphere Microbiome and Diseases Open
Soil‐borne pathogens must cross the barriers of plant‐associated microbiota to cause disease. Phytopathogens utilize effector proteins to manipulate host immunity and promote niche colonization. Identifying core effectors involved in both …
View article: A partitioned conditioned Latin hypercube sampling method considering spatial heterogeneity in digital soil mapping
A partitioned conditioned Latin hypercube sampling method considering spatial heterogeneity in digital soil mapping Open
The design of sampling methods is crucial in digital soil mapping for soil organic carbon (SOC), as it directly affects prediction precision and reliability. While sampling methods based on environmental variables are widely used, the spat…
View article: Mixotrophic cyanobacteria are critical active diazotrophs in polychlorinated biphenyl-contaminated paddy soil
Mixotrophic cyanobacteria are critical active diazotrophs in polychlorinated biphenyl-contaminated paddy soil Open
Biological nitrogen fixation by diazotrophs is a crucial biogeochemical process in global terrestrial ecosystems, especially in nitrogen-limited, organic-contaminated soils. The metabolic activities of diazotrophs and their ability to supp…
View article: On the effectiveness of multi-scale landscape metrics in soil organic carbon mapping
On the effectiveness of multi-scale landscape metrics in soil organic carbon mapping Open
Soil organic carbon (SOC) mapping delivers invaluable information to the global carbon budget and climate change mitigation endeavour. Environmental variables at sample locations are frequently used as explanatory variables for simulating …
View article: Ensemble stacking: a powerful tool for landslide susceptibility assessment – a case study in Anhua County, Hunan Province, China
Ensemble stacking: a powerful tool for landslide susceptibility assessment – a case study in Anhua County, Hunan Province, China Open
Traditional landslide susceptibility assessment methods often rely on single models, which can be biased and less accurate. In this article, we introduce a two-tiered strategy to enhance landslide susceptibility predictions. Initially, we …
View article: Improving crop rotation classification using a random forest model incorporating spatial heterogeneity
Improving crop rotation classification using a random forest model incorporating spatial heterogeneity Open
Accurate and timely classification of crop rotations is essential to confront the issues of agricultural management and food crisis. Crop growth conditions generally exhibit a strong spatial heterogeneity pattern, resulting in crop growth …
View article: Mapping soil organic carbon in northern France using adaptive zoning regression kriging based on LUCAS dataset
Mapping soil organic carbon in northern France using adaptive zoning regression kriging based on LUCAS dataset Open
To improve the accuracy of soil organic carbon (SOC) mapping, an adaptive zoning regression kriging (AZ_RK) framework was proposed, which simultaneously considers spatial heterogeneity and the influence of multiple environmental variables.…
View article: Automatic Crop Classification Based on Optimized Spectral and Textural Indexes Considering Spatial Heterogeneity
Automatic Crop Classification Based on Optimized Spectral and Textural Indexes Considering Spatial Heterogeneity Open
Crop recognition with high accuracy at a large scale is hampered by the spatial heterogeneity of crop growth characteristics under the complex influence of environmental conditions. With the aim to automatically realize large-scale crop cl…
View article: Nitrogen transfer and cross-feeding between <i>Azotobacter chroococcum</i> and <i>Paracoccus aminovorans</i> promotes pyrene degradation
Nitrogen transfer and cross-feeding between <i>Azotobacter chroococcum</i> and <i>Paracoccus aminovorans</i> promotes pyrene degradation Open
Nitrogen is a limiting nutrient for degraders function in hydrocarbon-contaminated environments. Biological nitrogen fixation by diazotrophs is a natural solution for supplying bioavailable nitrogen. Here, we determined whether the diazotr…
View article: Endogenous biohydrogen from a rhizobium-legume association drives microbial biodegradation of polychlorinated biphenyl in contaminated soil
Endogenous biohydrogen from a rhizobium-legume association drives microbial biodegradation of polychlorinated biphenyl in contaminated soil Open
Endogenous hydrogen (H2) is produced through rhizobium-legume associations in terrestrial ecosystems worldwide through dinitrogen fixation. In turn, this gas may alter rhizosphere microbial community structure and modulate biogeochemical c…
View article: Mercury Enrichment Characteristics and Rhizosphere Bacterial Community of Ramie (Boehmeria Nivea L. Gaud.) in Mercury-Contaminated Soil
Mercury Enrichment Characteristics and Rhizosphere Bacterial Community of Ramie (Boehmeria Nivea L. Gaud.) in Mercury-Contaminated Soil Open
Phytoremediation is a promising technique for reducing mercury (Hg) pollution. Little is known about the phytoremediation potential of ramie (Boehmeria nivea L. Gaud.) and the response of its rhizosphere soil microbiome to Hg contamination…
View article: Discovering spatiotemporal flow patterns: where the origin–destination map meets empirical orthogonal function decomposition
Discovering spatiotemporal flow patterns: where the origin–destination map meets empirical orthogonal function decomposition Open
Flows are usually represented as vector lines from origins to destinations and can reflect the movements of individuals or groups in space and time. Revealing and analyzing the spatiotemporal flow patterns are conducive to understanding in…
View article: Multi-Crop Classification Using Feature Selection-Coupled Machine Learning Classifiers Based on Spectral, Textural and Environmental Features
Multi-Crop Classification Using Feature Selection-Coupled Machine Learning Classifiers Based on Spectral, Textural and Environmental Features Open
Machine learning (ML) classifiers have been widely used in the field of crop classification. However, having inputs that include a large number of complex features increases not only the difficulty of data collection but also reduces the a…
View article: Variations of Bacterial and Diazotrophic Community Assemblies throughout the Soil Profile in Distinct Paddy Soil Types and Their Contributions to Soil Functionality
Variations of Bacterial and Diazotrophic Community Assemblies throughout the Soil Profile in Distinct Paddy Soil Types and Their Contributions to Soil Functionality Open
Rice paddy ecosystems support nearly half of the global population and harbor remarkably diverse microbiomes and functions in a variety of soil types. Diazotrophs provide significant bioavailable nitrogen in paddy soil, priming nitrogen tr…
View article: Partial Least Squares Improved Multivariate Adaptive Regression Splines for Visible and Near-Infrared-Based Soil Organic Matter Estimation Considering Spatial Heterogeneity
Partial Least Squares Improved Multivariate Adaptive Regression Splines for Visible and Near-Infrared-Based Soil Organic Matter Estimation Considering Spatial Heterogeneity Open
Under the influence of complex environmental conditions, the spatial heterogeneity of soil organic matter (SOM) is inevitable, and the relationship between SOM and visible and near-infrared (VNIR) spectra has the potential to be nonlinear.…
View article: Landslide susceptibility mapping by attentional factorization machines considering feature interactions
Landslide susceptibility mapping by attentional factorization machines considering feature interactions Open
Landslide susceptibility mapping (LSM) is a commonly used approach to reduce landslide risk. However, conventional LSM methods generally only consider the influence of each single conditioning factor on landslide occurrence or absence, whi…
View article: Distinct hydrogenotrophic bacteria are stimulated by elevated H<sub>2</sub>levels in upland and wetland soils
Distinct hydrogenotrophic bacteria are stimulated by elevated H<sub>2</sub>levels in upland and wetland soils Open
Background Molecular hydrogen (H 2 ) is a major energy source supporting bacterial growth and persistence in soil ecosystems. While recent studies have uncovered mediators of atmospheric H 2 consumption, far less is understood about how so…
View article: Multiple role of diazotrophs in coupling nitrogen and iron biogeochemical processes through vertical soil profiles of different paddy soil types
Multiple role of diazotrophs in coupling nitrogen and iron biogeochemical processes through vertical soil profiles of different paddy soil types Open
Background: Soil microbiota exert fundamental functions in maintaining ecosystem functioning and services, including pedogenesis, biogeochemical processes and plant productivity, especially for agriculture system. Despite their ubiquitousn…
View article: Urban form, shrinking cities, and residential carbon emissions: Evidence from Chinese city-regions
Urban form, shrinking cities, and residential carbon emissions: Evidence from Chinese city-regions Open
This paper analyzes the relationship between urban form, shrinking cities, and residential carbon emissions, based on information collected for prefectural-level and above Chinese cities for the years of 2005, 2010, and 2015. After control…
View article: miR-30a-3p participates in the development of asthma by targeting CCR3
miR-30a-3p participates in the development of asthma by targeting CCR3 Open
This study aimed to investigate the role and relevant mechanism of miR-30a-3p action in asthma. The results of this study revealed that the expression levels of miR-30a-3p were significantly decreased in the peripheral blood of asthmatic p…
View article: Function of Biohydrogen Metabolism and Related Microbial Communities in Environmental Bioremediation
Function of Biohydrogen Metabolism and Related Microbial Communities in Environmental Bioremediation Open
Hydrogen (H2) metabolism has attracted considerable interest because the activities of H2-producing and consuming microbes shape the global H2 cycle and may have vital relationships with the global cycling of other elements. There are many…
View article: Coupling between Nitrogen Fixation and Tetrachlorobiphenyl Dechlorination in a Rhizobium–Legume Symbiosis
Coupling between Nitrogen Fixation and Tetrachlorobiphenyl Dechlorination in a Rhizobium–Legume Symbiosis Open
Legume-rhizobium symbioses have the potential to remediate soils contaminated with chlorinated organic compounds. Here, the model symbiosis between Medicago sativa and Sinorhizobium meliloti was used to explore the relationships between sy…
View article: An Improved Density-Based Time Series Clustering Method Based on Image Resampling: A Case Study of Surface Deformation Pattern Analysis
An Improved Density-Based Time Series Clustering Method Based on Image Resampling: A Case Study of Surface Deformation Pattern Analysis Open
Time series clustering algorithms have been widely used to mine the clustering distribution characteristics of real phenomena. However, these algorithms have several limitations. First, they depend heavily on prior knowledge. Second, the a…
View article: Construction of the Calibration Set through Multivariate Analysis in Visible and Near-Infrared Prediction Model for Estimating Soil Organic Matter
Construction of the Calibration Set through Multivariate Analysis in Visible and Near-Infrared Prediction Model for Estimating Soil Organic Matter Open
The visible and near-infrared (VNIR) spectroscopy prediction model is an effective tool for the prediction of soil organic matter (SOM) content. The predictive accuracy of the VNIR model is highly dependent on the selection of the calibrat…
View article: An Adaptive Density-Based Time Series Clustering Algorithm: A Case Study on Rainfall Patterns
An Adaptive Density-Based Time Series Clustering Algorithm: A Case Study on Rainfall Patterns Open
Current time series clustering algorithms fail to effectively mine clustering distribution characteristics of time series data without sufficient prior knowledge. Furthermore, these algorithms fail to simultaneously consider the spatial at…
View article: Fungal endophyte Phomopsis liquidambari affects nitrogen transformation processes and related microorganisms in the rice rhizosphere
Fungal endophyte Phomopsis liquidambari affects nitrogen transformation processes and related microorganisms in the rice rhizosphere Open
The endophytic fungus Phomopsis liquidambari performs an important ecosystem service by assisting its host with acquiring soil nitrogen (N), but little is known regarding how this fungus influences soil N nutrient properties and microbial …
View article: Rhizobia and their bio-partners as novel drivers for functional remediation in contaminated soils
Rhizobia and their bio-partners as novel drivers for functional remediation in contaminated soils Open
Environmental pollutants have received considerable attention due to their serious effects on human health. There are physical, chemical, and biological means to remediate pollution; among them, bioremediation has become increasingly popul…