A5100754735- Land Use and Ecosystem Services
- Environmental Changes in China
- Regional Development and Environment
- Atmospheric chemistry and aerosols
- Hydrology and Drought Analysis
- Soil erosion and sediment transport
- Urban Transport and Accessibility
- E-commerce and Technology Innovations
- Energy, Environment, Economic Growth
- Hydrology and Watershed Management Studies
- Global Trade and Competitiveness
- Climate change impacts on agriculture
- Forest, Soil, and Plant Ecology in China
- Auditing, Earnings Management, Governance
- Regional resilience and development
- Financial Markets and Investment Strategies
- Air Quality and Health Impacts
- Plant Water Relations and Carbon Dynamics
- Geochemistry and Geochronology of Asian Mineral Deposits
- Environmental and Agricultural Sciences
- Agriculture, Soil, Plant Science
- Environmental Impact and Sustainability
Hebei University of Engineering
2024
Yangtze University
2024
Liaoning Normal University
2024
Beijing Normal University
2024
Jiangxi University of Science and Technology
2012
In this study, a stepwise multifactor vegetation regression analysis (SMVRA) approach was proposed to investigate the interaction of multiple climate factors on vegetative growth in study area from 2000 2020. It developed by integrating linear method, Standardized Precipitation Evapotranspiration Index (SPEI), Normalized Difference Vegetation (NDVI), and Pearson correlation coefficient. SMVRA can be used intuitively understand interactive effects correlated (e.g., temperature, precipitation,...
In this study, a multilevel drought-induced resistance and resilience analysis (MDRRA) approach was developed to investigate the stability of vegetation in Yellow River Basin (YRB). MDRRA quantified by utilizing Normalized Difference Vegetation Index (NDVI). It applied YRB assess various levels drought precipitation NDVI data from 2000 2019. The results reveal that are affected severity. Monthly annual changes SPI over warm–temperate humid zone show decreasing trend, with rates 0.001 per...
In this study, a spatiotemporal geographic autocorrelation weighted regression analysis (SGAWRA) approach was developed to investigate spatial non-stationarity of the dynamic response from vegetation variations climatic change and human activity. Implications related runoff variability were also discussed. The method systematically analyzed its associated effects on runoff. Therefore, more closely results with less error are produced at each step, accuracy obtained. These indicated that...
In this study, a spatiotemporal geographic autocorrelation weighted regression analysis (SGAWRA) approach was developed to investigate spatial non-stationarity of the dynamic response from vegetation variations climatic change and human activity. Implications related runoff variability were also discussed. The method systematically analyzed its associated effects on runoff. Therefore, more closely results with less error are produced at each step, accuracy obtained. These indicated that...