Xiaoming Xu

Xiaoming Xu
University of Illinois, Urbana-Champaign | UIUC · Department of Atmospheric Sciences

Ph.D

About

28
Publications
24,708
Reads
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1,328
Citations
Additional affiliations
January 2017 - present
University of Illinois, Urbana-Champaign
Position
  • PostDoc Position
December 2015 - December 2016
Shanxi University
Position
  • Professor (Associate)
September 2012 - October 2013
University of Oklahoma
Position
  • PostDoc Position
Education
September 2008 - June 2011
Jilin University
Field of study
  • Environmental Science
September 2006 - June 2008
Jilin University
Field of study
  • Environmental Science
September 2002 - June 2006
Jilin University
Field of study
  • Environmental Engineering

Publications

Publications (28)
Article
Full-text available
Five provinces located in the five main rice-growing regions in China were selected as study areas, which were Jiangsu, Heilongjiang, Sichuan, Guangdong and Hunan province respectively in the middle and lower reaches of the Yangtze River, northern, southwest, southern and central rice districts. Carbon footprints of rice production in these five pr...
Article
Land use and land cover change (LULCC) is a widely researched topic in related studies. A number of models have been established to simulate LULCC patterns. However, the integration of the system dynamic (SD) and the cellular automata (CA) model have been rarely employed in LULCC simulations, although it allows for combining the advantages of each...
Article
Full-text available
South and Southeast Asia (SSEA) has been a hotspot for land use and land cover change (LULCC) in the past few decades. The identification and quantification of the drivers of LULCC are crucial for improving our understanding of LULCC trends. So far, the biophysical and socioeconomic drivers of forest change have not been quantified at the regional...
Article
Full-text available
Agriculture and land use are major sources of greenhouse gas (GHG) emissions but previous estimates were either highly aggregate or provided spatial details for subsectors obtained via different methodologies. Using a model–data integration approach that ensures full consistency between subsectors, we provide spatially explicit estimates of product...
Article
Full-text available
Global wetlands are the largest and most uncertain natural source of atmospheric methane (CH4). The FLUXNET-CH4 synthesis initiative has established a global network of flux tower infrastructure, offering valuable data products and fostering a dedicated community for the measurement and analysis of methane flux data. Existing studies using the FLUX...
Preprint
Full-text available
Due to ongoing climate change, methane (CH4) emissions from vegetated wetlands are projected to increase during the 21st century, challenging climate mitigation efforts aimed at limiting global warming. However, despite reports of rising emission trends, a comprehensive evaluation and attribution of recent changes is still lacking. Here we assessed...
Article
Full-text available
In support of the global stocktake of the Paris Agreement on climate change, this study presents a comprehensive framework to process the results of an ensemble of atmospheric inversions in order to make their net ecosystem exchange (NEE) carbon dioxide (CO2) flux suitable for evaluating national greenhouse gas inventories (NGHGIs) submitted by cou...
Preprint
Full-text available
In support of the Global Stocktake of the Paris Agreement on Climate change, this study presents a comprehensive framework to process the results of atmospheric inversions in order to make them suitable for evaluating UNFCCC national inventories of land-use carbon dioxide (CO2) emissions and removals, corresponding to the Land Use, Land Use Change...
Article
Full-text available
Bangladesh has undergone dramatic land use and land cover changes (LULCC) in recent years, but no quantitative analysis of LULCC drivers at the national scale exists so far. Here, we quantified the drivers of major LULCC in combination with biophysical and socioeconomic observations at the sub-district level. We used Landsat satellite data to inter...
Article
Quantifying the carbon footprints of grain crops is of great importance to the mitigation of agricultural greenhouse gases. Previous studies revealed that the agricultural greenhouse gas emissions of China kept increasing in the past few years. In this study, the life cycle assessment method was used to calculate the product and farm carbon footpri...
Article
Full-text available
Variability in satellite measurements of terrestrial greenness in drylands is widely observed in land surface processes and global change studies. Yet the underlying causes differ and are not fully understood. Here, we used the GeogDetector model, a new spatial statistical approach, to examine the individual and combined influences of physiographic...
Article
Full-text available
The land use pattern in a certain region in different periods was usually driven by natural, social, and economical factors. The driving mechanisms varied in different periods. North Shanxi province, located in the farming-pastoral ecotone of northern China, was chosen as the research area. The objectives of this study were to analyze the land use/...
Article
Full-text available
Arid and semi-arid areas in North China are facing the challenge of a rising aeolian desertification risk (ADR) due to the intertwined effects of complex natural processes and intensified anthropogenic activities. An accurate quantitative assessment of the relationship between ADR and its determinants is beneficial for understanding the driving mec...
Article
Full-text available
Farmland releases greenhouse gases, therefore is of great importance to climate change. Carbon footprint is an ideal method to evaluate comprehensive greenhouse gas emissions of crops through the entire life cycle. This study took Jinzhong City, Shanxi Province, a typical winter wheat planting area as an example. Carbon footprint of wheat productio...
Article
Full-text available
The purpose of this paper is to explore the land use optimal allocation mechanism for development zones, taking Taiyuan High Tech Zone as an example. Methods of linear programming and CA-Markov model were used to get the optimal allocation of land use. The results showed that agricultural land and other land were mainly exploited for industrial, co...
Article
Full-text available
The study area of this article, Western Jilin province of China, was a typical area responding to global changing in middle latitude areas. In this paper, by interpreting the thematic mapper (TM) images of the study area in the years of 1989, 1996, 2000 and 2004, the land use/cover change (LUCC) data were achieved, which included the area of paddy...
Article
Full-text available
In this study, paddy fields in Jilin province which are flooded parcel of arable lands used for growing rice (Oryza sativa Linn.) were selected as the object. Long-term exploitation of paddy fields led to variations of soil organic carbon (SOC) and green house gases (GHGs) emissions which might contribute to global warming. In order to calculate th...
Article
Full-text available
The soil carbon pool plays a key role in terrestrial ecosystem carbon cycle. A toal of 217 soil profiles has been collected, a total of 2 170 soil samples were obtained for measuring the average bulk density, moisture content and organic carbon content based on the six-year(2004-2009) environmental investigation implemented in western Jilin Provinc...
Article
Full-text available
At present,carbon cycle in terrestrial ecosystems became a hot issue in studying global change because of the widespread concerning about the global warming.Land use/cover change (LUCC)was one of the most important factor among all the impact ones.It was a typical responding area to global changing in middle latitude areas in Western Jilin province...
Article
Full-text available
Markov and CA model are the dispersed dynamics model with time and state, i e. CA model has the ability of simulated complex systematic space change, and markov model has the advantage of long-term forecast. CA-Markov couple model may not only carry out long-term forecast, but also imitate efficiently the space change. With Jilin west as example, R...

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