A method to quantify the impact of climate change and human activities on watershed vegetation
By acquiring data from multiple data sources, performing spatiotemporal consistency processing and feature extraction, combining causal networks and regression decomposition methods, the problem of quantifying the impact of climate change and human activities on river basin vegetation in the prior art is solved, and more accurate and reliable ecosystem management and decision-making support is achieved.
Patent Information
- Application Number
- CN202411662239.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-20
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2044-11-20
AI Technical Summary
The prior art has problems in processing data spatiotemporal consistency in quantifying the impact of climate change and human activities on watershed vegetation, the difficulty of traditional linear models to capture nonlinear responses, the neglect of interactions, seasonal and interannual variation, inadequate processing of spatial heterogeneity and scale dependence, and oversimplification of uncertainty analysis.
A quantitative method of the impact of climate change and human activities on watershed vegetation is proposed, including obtaining data from multiple data sources, performing spatiotemporal consistency processing, calculating saturated water vapor pressure difference, extracting high-dimensional features, constructing spatiotemporal maps, applying map embedding technology to dimensionality reduction, establishing dynamic response models, using causal networks and regression decomposition methods to separate the impact, conducting comprehensive evaluation and uncertainty analysis.
It significantly improves its understanding of the dynamics of complex ecosystems, provides strong scientific support for river basin ecosystem management, can provide more accurate, reliable and comprehensive decision-making support, evaluate current ecological conditions and predict future changes, and provide scientific basis for formulating long-term ecological protection and restoration strategies.