A5064233622- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Hydrology and Watershed Management Studies
- Tree-ring climate responses
- Climate variability and models
- Land Use and Ecosystem Services
- Soil erosion and sediment transport
- Conservation, Biodiversity, and Resource Management
- Climate change and permafrost
- Hydrology and Drought Analysis
- Remote Sensing and Land Use
- Peatlands and Wetlands Ecology
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Soil Carbon and Nitrogen Dynamics
- Plant responses to elevated CO2
- Forest ecology and management
- Atmospheric and Environmental Gas Dynamics
- Climate change impacts on agriculture
- Atmospheric chemistry and aerosols
- Energy, Environment, Economic Growth
- Water Quality and Pollution Assessment
- Soil and Water Nutrient Dynamics
- Environmental and Agricultural Sciences
- Smart Agriculture and AI
Beijing Solar Energy Research Institute
2025
Beijing Normal University
2019-2023
Peking University
2012-2020
Abstract The reliable detection and attribution of changes in vegetation growth is a prerequisite for the development strategies sustainable management ecosystems. This an extraordinary challenge. To our knowledge, this study first to comprehensively detect attribute greening trend China over last three decades. We use different satellite‐derived Leaf Area Index ( LAI ) datasets as well five process‐based ecosystem models attribution. Rising atmospheric CO 2 concentration nitrogen deposition...
We applied a land water mass balance equation over 59 major river basins during 2003–9 to estimate evapotranspiration (ET), using as input terrestrial storage anomaly (TWSA) data from the GRACE satellites, precipitation and in situ runoff measurements. found that change cannot be neglected estimation of ET on an annual time step, especially areas with relatively low values. developed spatial regression model by integrating precipitation, temperature satellite-derived normalized difference...
Timely monitoring and precise estimation of the leaf chlorophyll contents maize are crucial for agricultural practices. The scale effects very important as calculated vegetation index (VI) were quantitative remote sensing. In this study, investigated by analyzing linear relationships between VI from red–green–blue (RGB) images unmanned aerial vehicles (UAV) ground measured using SPAD-502. impacts assessed applying different flight altitudes highest coefficient determination (R2) can reach...
Timely monitoring of inland water quality using unmanned aerial vehicle (UAV) remote sensing is critical for environmental conservation and management. In this study, two UAV flights were conducted (one in February the other December 2021) to acquire images Zhanghe River (China), a total 45 samples collected concurrently with image acquisition. Machine learning (ML) methods comprising Multiple Linear Regression, Least Absolute Shrinkage Selection Operator, Backpropagation Neural Network...
Vegetation dynamics significantly influence watershed ecohydrological processes. Physically based hydrological models often have general plant development descriptions but lack vegetation data for simulations. Solar-induced chlorophyll fluorescence (SIF) and the Normalized Difference Index (NDVI) are widely used in monitoring research. Accurately predicting long-term SIF NDVI can support of anomalies trends. This study proposed a SWAT-ML framework, combining Soil Water Assessment Tool (SWAT)...
A revegetation program in North China could potentially increase carbon sequestration and mitigate climate change. However, the responses of water yield ecosystem services to factors are still unclear among different vegetation types, which is critically important select appropriate species for revegetation. Based on Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model, we estimated temporal variations associated China. The result showed that InVEST model performed well...
Abstract Climate warming has substantially advanced spring leaf flushing, but winter chilling and photoperiod co‐determine the flushing process in ways that vary among species. As a result, interspecific differences phenology (IDSP) are expected to change with climate warming, which may, turn, induce negative or positive ecological consequences. However, temporal of IDSP at large spatiotemporal scales remains unclear. In this study, we analyzed long‐term in‐situ observations (1951–2016) six,...
Accurate estimation of forest biomass C stock is essential to understand carbon cycles. However, current estimates Chinese are mostly based on inventory-based timber volumes and empirical conversion factors at the provincial scale, which could introduce large uncertainties in estimation. Here we provide a data-driven estimate aboveground from 2001 2013 spatial resolution 1 km by integrating recently reviewed plot-level ground-measured database with geospatial information 1-km...
The characteristics of the drought propagation from meteorological (MD) to agricultural (AD) differ in various climatic and underlying surface conditions. However, how these factors affect process is still unclear. In this study, influencing were investigated an arid region Northeast Asia (ARNA) during 1982–2014. Based on run theory, detected using standardized precipitation index (SPI) soil moisture (SMI), respectively. time MD AD was investigated, influence identified. Results demonstrated...
Temperature during a particular period prior to spring leaf-out, the temperature-relevant (TRP), is strong determinant of leaf-out date in temperate-zone trees. Climatic warming has substantially advanced dates temperate biomes worldwide, but its effect on beginning and length TRP not yet been explored, despite direct relevance for phenology modeling. Using 1,551 species-site combinations long-term (1951-2016) situ observations six tree species (namely, Aesculus hippocastanum, Alnus...
Abstract Applying various models to assess hydrologic ecosystem services (HESs) management has the potential encourage efficient water resources allocation. However, can a single model designed on these principles be practical carry out for all purposes? We address this question by fully discussing advantages of variable infiltration capacity (VIC) model, soil and assessment tool (SWAT), integrated valuation tradeoffs (InVEST) model. The analysis is carried both qualitatively quantitatively...
Climate change may substantially affect the validity of identifying eco-compensation demand. Exploring temporal-spatial variation in demands and assessing contribution climate are essential for improving justice effectiveness. Since 2000, Chinese government implemented ambitious ecological economic policies at Yangtze River Economic Belt (YREB) to balance relationship between environment protection socio-economic development. We selected YREB explore driving factors two major ecosystem...
Hydrothermal and climatic conditions determine vegetation productivity its dynamic changes. However, the legacy effect causal relationships between these variables growth are still unclear, especially in dry regions. Based on multi-statistical methods, including bivariate correlation analysis composite Granger causality tests, we investigated correlation, causality, lag length temperature/precipitation (Normalized Difference Vegetation Index, NDVI) three typical sub-watersheds Luanhe River...
Stem respiration is a critical and uncertain component of ecosystem carbon cycle. Few studies reported diurnal change in stem as well its linkage with climate. In this study, we investigated the seasonal environmental factors, larch plantations northern China from 2010 to 2012. The per unit surface area (RS) showed clear cycles, ranging 1.65±0.10 2.69±0.15 µmol m−2 s−1, increased after 6∶00, peaked at 15∶00 then decreased. Both temperature air show similar pattern, while pattern relative...