A5056017299- Land Use and Ecosystem Services
- Oil Palm Production and Sustainability
- Remote Sensing in Agriculture
- Coastal wetland ecosystem dynamics
- Conservation, Biodiversity, and Resource Management
- Environmental Changes in China
- Soil erosion and sediment transport
- Air Quality Monitoring and Forecasting
- Traffic Prediction and Management Techniques
- Hydrology and Watershed Management Studies
- Tree Root and Stability Studies
- Groundwater and Watershed Analysis
- Tree-ring climate responses
- Agricultural and Environmental Management
- Energy Load and Power Forecasting
- Forest, Soil, and Plant Ecology in China
- Plant and Fungal Species Descriptions
- Forest ecology and management
- Species Distribution and Climate Change
Beibu Gulf University
2022-2023
Quantitative assessment of aboveground biomass (AGB) and spatial distribution pattern exotic mangrove plants (Sonneratia apetala) is great significance for blue carbon management ecological restoration in typical subtropical estuaries China. Although unmanned aerial vehicle (UAV) light detection ranging (LiDAR) has certain advantages the investigation vertical three-dimensional structure mangroves, existing results are mainly based on plot method. Few scholars use machine learning (ML)...
The classic theory posits that deep-water environments (e.g., deep/semi-deep lakes in basin centers), are more conducive to the development of high-quality hydrocarbon sources. However, recent exploration efforts shale oil and gas have revealed organic-rich shales prevalent at edges lacustrine basins, whereas central areas these basins tend be lacking organic matter. Therefore, it is essential conduct a thorough analysis distribution patterns reservoirs. This study employs analogical...
Blue carbon ecosystems such as mangroves are natural barriers to resisting and alleviating the impact of storm surges extreme catastrophic weather. Accurate efficient determination aboveground biomass is great importance for protection restoration blue their response climate change. This study proposes a light gradient boosting model (LGBM) based on particle swarm optimization (PSO) algorithm feature selection. We constructed verified proposed using 227 quadrat datasets from field survey...
The temporal and spatial dynamics of biodiversity its future trends are great significance for maintaining pattern ensuring regional ecological security in the Nanliu River Basin Beibu Gulf. At present, most studies concerned with assessment historical period, but few focused on prediction under several scenarios years, history simulation habitat quality has not been carried out. Therefore, establishment different plays a crucial role sustainable development social economy. This study takes...
Karst rocky desertification (KRD) has become one of the most serious ecological and environmental problems in karst areas. At present, mapping KRD with a high accuracy on large scale is still difficult problem control KRD. In this study, random forest (RF) based maximum information coefficient correlation feature selection proposed to predict Nine predictors stood out as factors estimate Rock exposure was important predictor, followed by fractional vegetation cover for prediction processes....
Karst environmental issues have become one of the hot spots in contemporary international geological research. The same problem water shortage is global concern. peak-cluster depression basins southwest Guangxi an important connotation and ecological barrier areas Pearl River Basin China. Thus, studying spatial temporal variations influencing factors its yield services critical to achieve sustainable development resources protection this region. As such, paper uses Integrated Valuation...
In recent years, with the rapid development of society, energy consumption buildings in our country is also growing. Excessive will lead to environmental problems such as increase greenhouse gas emissions, so it necessary promote building conservation and emission reduction reduce problem excessive consumption. The key predict future trend achieve accurate prediction consumption, which can assist guiding planning use strategies. However, existing forecasting methods are difficult model...