一种复合生态系统关联性测度方法及系统
By constructing a spatiotemporal sequence similarity matrix, the correlation of complex ecosystems is quantified, which solves the problem of the failure to quantify the correlation of multiple elements in complex ecosystems, realizes precise regulation of ecological protection and restoration, and supports regional sustainable development.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING FORESTRY UNIVERSITY
- Filing Date
- 2025-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies have failed to effectively quantify the interrelationships among multiple elements in complex ecosystems, making it difficult to achieve holistic and systematic protection and restoration, and thus failing to meet the needs of regional sustainable development.
A spatiotemporal sequence similarity-based approach is adopted. By acquiring land use remote sensing monitoring data, a spatial weight matrix and a temporal similarity matrix are constructed. Local and global statistics are calculated to quantify the spatiotemporal similarity of various land use types, thereby measuring the correlation of complex ecosystems.
It provides a multi-angle and multi-dimensional precise definition of the interconnectedness of complex ecosystems, supports the precise regulation of differentiated ecological protection and restoration strategies, and has the advantages of being easy to operate and understand.
Smart Images
Figure CN120492945B_ABST