Including but not limited to the following contents:
Track 1: Ecosystems and Processes
Ecosystem patterns and evolution
Biodiversity conservation
Ecological security patterns
Ecosystem restoration and effectiveness assessment
Ecosystem resilience enhancement
Ecological risk warning
Nature reserves management
Regional ecology and human-environment coupling
Ecological product value
Ecological carbon sink and carbon neutrality
Track 2: Data Analysis and Environmental Models
Multi-source ecological data integration
Remote sensing and ecological big data
Ecological models and artificial intelligence
Ecological prediction and scenario simulation
Data assimilation and model integration
Spatial-temporal data mining
Model applicability across regions
Model uncertainty quantification
Digital twin ecosystem
Ecological decision support
Track 3: Cross-Fusion and Applications
AI-driven ecological health monitoring
Multi-scale ecological process simulation
Climate change attribution analysis
Intelligent accounting of carbon sources and carbon sinks
Ecological risk dynamic warning
Ecological response modeling under extreme weather
Real-time ecological monitoring and intelligent warning
Intelligent assessment of ecological restoration effectiveness
Causal inference of complex ecosystems
Ecological sustainable governance in the intelligent era