A5101853522- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Climate variability and models
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Remote Sensing and Land Use
- Climate change impacts on agriculture
- Land Use and Ecosystem Services
- Coastal wetland ecosystem dynamics
- Urban Heat Island Mitigation
- Traffic Prediction and Management Techniques
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing and LiDAR Applications
- Soil Carbon and Nitrogen Dynamics
- Microbial Community Ecology and Physiology
- Soil Moisture and Remote Sensing
- Irrigation Practices and Water Management
- Time Series Analysis and Forecasting
- Solar Radiation and Photovoltaics
- Water resources management and optimization
- Data Management and Algorithms
- Geology and Paleoclimatology Research
- Environmental and Agricultural Sciences
- Gut microbiota and health
- Species Distribution and Climate Change
Qingdao University
2021-2025
Zhejiang Sci-Tech University
2025
Gansu Agricultural University
2025
Chinese Academy of Meteorological Sciences
2024
Stevens Institute of Technology
2024
Chinese Academy of Sciences
2019-2024
Institute of Biophysics
2024
Hebei Meteorological Bureau
2024
Dongguan University of Technology
2024
Northwest A&F University
2022-2023
Abstract Understanding present and future impacts of drought on the terrestrial carbon budget is great significance to evaluation ecosystem disturbance sink. Here, we evaluate effect vegetation net primary productivity (NPP) associated with through difference between mean NPP in normal years during a specific time period (30 years). Then, effects different types climatic zones under baseline stage (1981–2010) climate scenarios (RCP2.6, RCP4.5, RCP8.5) assessed. The results indicate that...
Increasing scarcity of irrigation water is threatening global winter wheat production and food security. As a major world crop, has been pivotal in enhancing the sustainable wheat. To ensure security, it vital to better understand demands during key growth periods improve productivity (WP). Here we combined precipitation crop requirements analyze impacts deficit (CWDI) on main planting belt China. The results showed that often had unbalanced budgets, leading serious frequent CWDI North China...
Accurate extraction of crop cultivated area and spatial distribution is essential for food security. Crop classification methods based on machine learning deep remotely sensed time-series data are widely utilized to detect planting area. However, few studies assess the effectiveness algorithm integrated satellite identifying multiple type over a large-scale region. Hence, this study aims evaluate models in provide framework data. The Normalized Difference Vegetation Index (NDVI), Enhanced...
Drought is an extremely dangerous natural hazard that causes water crises, crop yield reduction, and ecosystem fires. Researchers have developed many drought indices based on ground-based climate data various remote sensing data. Ground-based are more accurate but limited in coverage; while the cover larger areas poor accuracy. Applying data-driven models to fuse multi-source for reproducing composite index may help fill this gap better monitor terms of spatial resolution. Machine learning...
This study explored the applicability of Temperature Vegetation Dryness Index (TVDI) derived from MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index (NDVI) and land surface temperature (LST) data for drought monitoring in Eurasia April to September during 2005 - 2014. TVDI was calculated based on index/temperature trapezoid eigenspace (VITT) this study. The Standardized Precipitation Evapotranspiration three time scales (SPEI-01, SPEI-03, SPEI-06)...
Soil moisture (SM) is a critical variable affecting ecosystem carbon and water cycles their feedback to climate change. In this study, we proposed convolutional neural network (CNN) model embedded with residual block attention module, named SMNet, spatially downscale the European Space Agency (ESA) Climate Change Initiative (CCI) SM product. SMNet model, lightweight Convolutional Block Attention Module (CBAM) dual-attention mechanism was integrated comprehensively extract spatial channel...
Reverse logistics, a new logistics model with the advantages of resource conservation and environmental protection, has emerged in response to strong negative externalities traditional logistics. However, fully competitive market environment, enterprises generally do not actively implement reverse based on their own profitability competitiveness considerations. In order explore impact various factors implementation by enterprises, an incentive three-party game for express packaging recycling...
Accurately partitioning evapotranspiration (ET) of cropland into productive plant transpiration (T) and non-productive soil evaporation (E) is important for improving crop water use efficiency. Many methods, including machine learning have been developed ET partitioning. However, the applicability models in with diverse rotations not clear. In this study, are used to predict E, T obtained by calculating difference between leading derivation ratio (T/ET). We evaluated six (i.e., artificial...
Hypoxia often has negative effects on testis development and spermatogenesis of mammals. Plateau yaks have lived in the hypoxia environment for generations, but ensured testicular function, which is closely related to their unique response mechanism. Glucose metabolic reprogramming an important way cells respond stressful environments, especially metabolite lactate, energy basis differentiation germ cells. In this study, (5% O2) effectively promoted yak Sertoli cell proliferation decreased...
Drought has devastating impacts on agriculture and other ecosystems, its occurrence is expected to increase in the future. However, spatiotemporal net primary productivity (NPP) Mongolia have remained uncertain. Hence, this paper focuses impact of drought NPP Mongolia. The events during 2003–2018 were identified using Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI). Boreal Ecosystem Productivity Simulator (BEPS)-derived was computed assess...
The rapid intensification of drought, commonly known as flash has recently drawn widespread attention from researchers. However, how the characteristics and drivers, well ecological impacts rapidly intensified droughts, differ those slowly ones still remains unclear over globe. To this end, we defined three types droughts based on root zone soil moisture (RZSM) decline rates, general creep then implemented a comparative analysis between them across globe 26 Intergovernmental Panel Climate...
Photosynthesis (a key ecological process) is measured based on gross primary productivity (GPP), emphasizing the criticality of accurate GPP estimation to climate change research. The extant remote sensing-based approaches for were typically optical sensing data, neglecting potential supplementary information from microwave data. Thus, random forest algorithm, we developed a model through integration and with meteorological data (OMM-GPP). software tools used processing, modeling, analysis...