A5100385148- Atmospheric and Environmental Gas Dynamics
- Soil and Water Nutrient Dynamics
- Climate variability and models
- Atmospheric chemistry and aerosols
- Soil Carbon and Nitrogen Dynamics
- Methane Hydrates and Related Phenomena
- Land Use and Ecosystem Services
- Peatlands and Wetlands Ecology
- Plant Water Relations and Carbon Dynamics
- Agriculture Sustainability and Environmental Impact
- Marine and coastal ecosystems
- Environmental Changes in China
- Hydrology and Watershed Management Studies
- Wastewater Treatment and Nitrogen Removal
- Mercury impact and mitigation studies
- Hydrocarbon exploration and reservoir analysis
- Coal and Its By-products
- Remote Sensing in Agriculture
- Conservation, Biodiversity, and Resource Management
- Odor and Emission Control Technologies
- Fecal contamination and water quality
- Legionella and Acanthamoeba research
- Science and Climate Studies
- Species Distribution and Climate Change
- Geology and Paleoclimatology Research
Lanzhou Jiaotong University
2025
University College London
2025
Xi'an Jiaotong University
2025
Shandong University of Science and Technology
2024
Fujian Normal University
2024
Ministry of Education of the People's Republic of China
2023
Ministry of Natural Resources
2023
China University of Geosciences
2023
China University of Mining and Technology
2023
Ball State University
2018-2022
Abstract. The global methane (CH4) budget is becoming an increasingly important component for managing realistic pathways to mitigate climate change. This relevance, due a shorter atmospheric lifetime and stronger warming potential than carbon dioxide, challenged by the still unexplained changes of CH4 over past decade. Emissions concentrations are continuing increase, making second most human-induced greenhouse gas after dioxide. Two major difficulties in reducing uncertainties come from...
Abstract Soil is the largest organic carbon (C) pool of terrestrial ecosystems, and C loss from soil accounts for a large proportion land‐atmosphere exchange. Therefore, small change in (SOC) can affect atmospheric dioxide (CO 2 ) concentration climate change. In past decades, wide variety studies have been conducted to quantify global SOC stocks exchange with atmosphere through site measurements, inventories, empirical/process‐based modeling. However, these estimates are highly uncertain,...
Our understanding and quantification of global soil nitrous oxide (N2 O) emissions the underlying processes remain largely uncertain. Here, we assessed effects multiple anthropogenic natural factors, including nitrogen fertilizer (N) application, atmospheric N deposition, manure land cover change, climate rising CO2 concentration, on N2 O for period 1861-2016 using a standard simulation protocol with seven process-based terrestrial biosphere models. Results suggest have increased from 6.3 ±...
Abstract Greenhouse gas (GHG)‐induced climate change is among the most pressing sustainability challenges facing humanity today, posing serious risks for ecosystem health. Methane (CH 4 ) and nitrous oxide (N 2 O) are two important GHGs after carbon dioxide (CO ), but their regional global budgets not well known. In this study, we applied a process‐based coupled biogeochemical model to concurrently estimate magnitude spatial temporal patterns of CH N O fluxes as driven by multiple...
Abstract Nitrous oxide (N 2 O) is an important greenhouse gas and also ozone-depleting substance that has both natural anthropogenic sources. Large estimation uncertainty remains on the magnitude spatiotemporal patterns of N O fluxes key drivers production in terrestrial biosphere. Some biosphere models have been evolved to account for nitrogen processes show capability simulate emissions from land ecosystems at global scale, but large discrepancies exist among their estimates primarily...
Abstract Increasing atmospheric methane (CH 4 ) concentrations have contributed to approximately 20% of anthropogenic climate change. Despite the importance CH as a greenhouse gas, its growth rate and dynamics over past two decades, which include stabilization period (1999–2006), followed by renewed starting in 2007, remain poorly understood. We provide an updated estimate emissions from wetlands, largest natural global source, for 2000–2012 using ensemble biogeochemical models constrained...
Abstract. Given the important role of nitrogen input from livestock systems in terrestrial nutrient cycles and atmospheric chemical composition, it is vital to have a robust estimation magnitude spatiotemporal variation manure production its application cropland across globe. In this study, we used dataset Global Livestock Impact Mapping System (GLIMS) conjunction with country-specific annual populations reconstruct during 1860–2014. The estimated increased 21.4 Tg N yr−1 1860 131.0 2014...
Amazon droughts have impacted regional ecosystem functioning as well global carbon cycling. The severe dry-season in 2005 and 2010, driven by Atlantic sea surface temperature (SST) anomaly, been widely investigated terms of drought severity impacts on ecosystems. Although the influence Pacific SST anomaly wet-season precipitation has recognized, it remains uncertain to what extent could affect forest greenness photosynthesis Amazon. Here, we examined monthly annual dynamics photosynthetic...
"Taking the county as an important carrier to promote urbanization" has been identified China's most significant strategic planning for urban development. Exploring level of coordination among both water-related ecosystem services (WES) and urbanization analyzing their social ecological drivers at county-level can benefit in tackling various environmental challenges that arise a result urbanization. This research examined spatial temporal variation WES (i.e., water provision, soil...
Abstract. Following the recent Global Carbon Project (GCP) synthesis of decadal methane (CH4) budget over 2000–2012 (Saunois et al., 2016), we analyse here same dataset with a focus on quasi-decadal and inter-annual variability in CH4 emissions. The GCP integrates results from top-down studies (exploiting atmospheric observations within an inverse-modelling framework) bottom-up models (including process-based for estimating land surface emissions chemistry), inventories anthropogenic...
Abstract Given the importance of potential positive feedback between methane (CH 4 ) emissions and climate change, it is critical to accurately estimate magnitude spatiotemporal patterns CH from global rice fields better understand underlying determinants governing emissions. Here we used a coupled biogeochemical model in combination with satellite‐derived contemporary inundation area quantify variation attribute environmental controls during 1901–2010. Our study estimated that varied 18.3 ±...
Human demand for livestock products has increased rapidly during the past few decades largely due to dietary transition and population growth, with significant impact on climate environment. The contribution of ruminant greenhouse gas (GHG) emissions been investigated extensively at various scales from regional global, but long-term trend, variation drivers methane (CH4 ) emission remain unclear. In this study, we use Intergovernmental Panel Climate Change (IPCC) Tier II guidelines quantify...
Abstract. Excessive anthropogenic nitrogen (N) inputs to the biosphere have disrupted global cycle. To better quantify spatial and temporal patterns of N inputs, assess their impacts on biogeochemical cycles planet living organisms, improve use efficiency (NUE) for sustainable development, we developed a comprehensive synthetic dataset reconstructing History Nitrogen (HaNi) terrestrial biosphere. The HaNi takes advantage different data sources in spatiotemporally consistent way generate set...
Abstract The application of manure and mineral nitrogen (N) fertilizer, livestock excreta deposition are the main drivers nitrous oxide (N 2 O) emissions in agricultural systems. However, magnitude spatiotemporal variations N O due to different management practices (excreta manure/fertilizer application) from grassland ecosystems remain unclear. In this study, we used Dynamic Land Ecosystem Model simulate variation global their attribution sources both intensively managed ( pasturelands )...
Abstract Excessive nutrient inputs from land, particularly nitrogen (N), have been found to increase the occurrence of hypoxia and harmful algal blooms in coastal ecosystems. To identify main contributors increased N loading evaluate efficacy water pollution control policies, it is essential quantify attribute long‐term changes riverine export. Here, we use a state‐of‐the‐art terrestrial–aquatic interface model examine how multiple environmental factors may affected export Chesapeake Bay...
Wetlands comprise the single largest global source of atmospheric methane, but current flux estimates disagree in both magnitude and distribution at continental scale. This study uses methane observations over North America from 2007 to 2008 a geostatistical inverse model improve understanding Canadian fluxes associated biogeochemical models. The results bridge an existing gap between traditional top‐down, inversion studies, which typically emphasize total emission budgets, models, usually...
Abstract Knowledge about the annual and seasonal patterns of organic inorganic carbon (C) exports from major rivers world to coastal ocean is essential for our understanding potential management global C budget so as limit anthropogenic modification climate. Unfortunately predictive what controls timing, magnitude, quality export still rudimentary. Here we use a process‐based coupled hydrologic/ecosystem biogeochemistry model (the Dynamic Land Ecosystem Model) examine how climate variability...
Quantitative information on the response of global terrestrial net primary production (NPP) to climate change and increasing atmospheric CO2 is essential for adaptation mitigation in 21st century. Using a process-based ecosystem model (the Dynamic Land Ecosystem Model, DLEM), we quantified magnitude spatiotemporal variations contemporary (2000s) NPP, projected its potential responses changes century under Special Report Emission Scenarios (SRES) A2 B1 Intergovernmental Panel Climate Change...