- Rangeland Management and Livestock Ecology
- Wildlife Ecology and Conservation
- Rangeland and Wildlife Management
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Wildlife-Road Interactions and Conservation
- Energy, Environment, Economic Growth
- Sustainable Urban and Rural Development
- Conferences and Exhibitions Management
- Environmental Impact and Sustainability
- Educational Environments and Student Outcomes
- Climate Change Policy and Economics
Nantong University
2022-2023
Nanjing Audit University
2023
Grazing management is one of the most widely practiced land uses globally. Quantifying spatiotemporal distribution livestock critical for effective livestock-grassland grazing ecosystem. However, to date, there are few convincing solutions dynamic monitor and key parameters quantification under actual situations. In this study, we proposed a pragmatic method quantifying density (GD) herding proximities (HP) based on unmanned aerial vehicles (UAVs). We further tested its feasibility at three...
Plant species diversity (PSD) is essential in evaluating the function and developing management conservation strategies of grassland. However, over a large region, an efficient high precision method to monitor multiscale PSD (α-, β-, γ-diversity) lacking. In this study, we proposed improved unmanned aerial vehicle (UAV)-based monitoring (UAV B ) tested feasibility, meanwhile, explored potential relationship between precipitation on alpine grassland source region Yellow River (SRYR), China....
Grassland health assessment (GHA) is a bridge of study and management grassland ecosystem. However, there no standardized quantitative indicators long-term monitor methods for GHA at large scale, which may hinder theoretical practical application GHA. In this study, along with previous concept practices (i.e., CVOR, the integrated indexes condition, vigor, organization resilience), we proposed an system based on monitored by unmanned aerial vehicles (UAVs)-UAVCVOR, tested feasibility UAVCVOR...