A5014209141- Plant Water Relations and Carbon Dynamics
- Climate change impacts on agriculture
- Soil Carbon and Nitrogen Dynamics
- Soil and Water Nutrient Dynamics
- Urban Heat Island Mitigation
- Remote Sensing in Agriculture
- Climate change and permafrost
- Atmospheric aerosols and clouds
- Plant Ecology and Soil Science
- Forest ecology and management
- Greenhouse Technology and Climate Control
- Data Quality and Management
- Cryospheric studies and observations
- Meteorological Phenomena and Simulations
- Tree-ring climate responses
- Scientific Computing and Data Management
- Hydrology and Watershed Management Studies
- Air Quality Monitoring and Forecasting
- Soil Geostatistics and Mapping
- Remote Sensing and Land Use
- Climate variability and models
- Land Use and Ecosystem Services
- Plant responses to elevated CO2
- Crop Yield and Soil Fertility
- Ecology and Conservation Studies
Sun Yat-sen University
2024-2025
University of Illinois Urbana-Champaign
2020-2024
Illinois Department of Natural Resources
2020-2024
University of Illinois Chicago
2023
University of Chinese Academy of Sciences
2016-2021
Johannes Gutenberg University Mainz
2020-2021
South China Botanical Garden
2021
Institute of Remote Sensing and Digital Earth
2017-2020
State Key Laboratory of Remote Sensing Science
2017-2020
Beijing Normal University
2017-2020
Accurate and cost-effective quantification of the carbon cycle for agroecosystems at decision-relevant scales is critical to mitigating climate change ensuring sustainable food production. However, conventional process-based or data-driven modeling approaches alone have large prediction uncertainties due complex biogeochemical processes model lack observations constrain many key state flux variables. Here we propose a Knowledge-Guided Machine Learning (KGML) framework that addresses above...
Large-scale crop yield prediction is critical for early warning of food insecurity, agricultural supply chain management, and economic market. Satellite-based Solar-Induced Chlorophyll Fluorescence (SIF) products have revealed hot spots photosynthesis over global croplands, such as in the U.S. Midwest. However, to what extent these satellite-based SIF can enhance performance when benchmarking against other existing satellite data remains unclear. Here we assessed benefits using three maize...
Irrigation is an important adaptation to reduce crop yield loss due water stress from both soil deficit (low moisture) and atmospheric aridity (high vapor pressure deficit, VPD). Traditionally, irrigation has primarily focused on deficit. Observational evidence demonstrates that stomatal conductance co-regulated by moisture VPD supply demand aspects. Here we use a validated hydraulically-driven ecosystem model reproduce the co-regulation pattern. Specifically, propose plant-centric scheme...
Abstract Irrigation is critical to sustain agricultural productivity in dry or semi-dry environments, and center pivots, due their versatility ruggedness, are the most widely used irrigation systems. To effectively use pivot systems, producers require tools support decision-making on when how much water irrigate. However, currently make these decisions primarily based experience and/or limited information of weather. Ineffective systems can lead overuse resources, compromise crop...
Cover crops have been reported as one of the most effective practices to increase soil organic carbon (SOC) for agroecosystems. Impacts cover on SOC change vary depending properties, climate, and management practices, but it remains unclear how these control factors affect benefits from crops, well which can maximize benefits. To address questions, we used an advanced process-based agroecosystem model, ecosys, assess impacts winter cropping accumulation under different environmental...
Abstract. Agricultural nitrous oxide (N2O) emission accounts for a non-trivial fraction of global greenhouse gas (GHG) budget. To date, estimating N2O fluxes from cropland remains challenging task because the related microbial processes (e.g., nitrification and denitrification) are controlled by complex interactions among climate, soil, plant human activities. Existing approaches such as process-based (PB) models have well-known limitations due to insufficient representations or...
Agriculture contributes nearly a quarter of global greenhouse gas (GHG) emissions, which is motivating interest in adopting certain farming practices that have the potential to reduce GHG emissions or sequester carbon soil. The related emission (including N2O and CH4) changes soil stock are defined here as "agricultural outcomes". Accurate quantification agricultural outcomes basis for achieving reductions agriculture, but existing approaches measuring direct measurements, factors,...
Abstract Low soil moisture (SM) and high vapor pressure deficit (VPD) can reduce vegetation productivity (gross primary (GPP)) weaken terrestrial carbon stock. However, the roles of SM VPD on GPP vary widely in terms (a) which one dominates impact (dominance) (b) specific threshold values at they are activated (thresholds). This study adopted copula method to investigate dominance thresholds reduction (GPP reduction) across China from 1982 2018. The results indicate that predominantly drives...
Quantifying carbon outcomes from agroecosystems plays an important role in mitigating global warming and ensuring food security through sustainable production. However, high spatial-temporal-resolution (e.g., ~100m, daily), accurate, well-resolved budgets crop yield are extremely challenging to quantify due the complexity of involved processes large variations environmental management drivers. Traditional process-based-modeling approaches computationally expensive achieve field-scale...
Near surface air temperature (Ta) is one of the key input parameters in land models and hydrological as it affects most biogeophysical biogeochemical processes earth system. For distributed modeling over glacierized basins, obtaining high resolution Ta forcing major challenges. In this study, we proposed a new daily estimation scheme under both clear cloudy sky conditions through integrating moderate-resolution imaging spectroradiometer (MODIS) (LST) China Meteorological Administration (CMA)...
The land surface shortwave downward radiation (SWDR), also known as incident solar radiation, is usually defined the total spectral energy between 300 nm and 3000 that arrives at earth's surface. SWDR an essential variable for numerous models thus need to be accurately mapped using various approaches. Although efforts have been made assess applicability accuracy of datasets produced by satellite numeric models, few studies evaluated performance products from Himawari-8. In this paper,...
Cropland carbon budget depicts the amount of flowing in and out agroecosystems changes stocks soil living biomass during same period. Soil credit is additional change stock under certain farming practices compared with business-as-usual practices. Accurately calculating cropland critical to assessing climate mitigation potential agroecosystems. The calculation sensitive local climatic conditions, especially initial organic (SOC) stock, which determined by both SOC concentration (SOC%) bulk...