Method and system for analyzing ecological quality trend of crested ibis habitat

By constructing an intelligent sensing network and machine learning model, and combining multi-source data analysis, a habitat functional health index is generated. This solves the problems of monitoring lag and single dimension in traditional methods, and realizes accurate monitoring and trend analysis of the ecological quality of crested ibis habitat, providing a scientific basis for protection and management decisions.

CN121834408AInactive Publication Date: 2026-04-10德清县生态林业综合服务中心(德清县湿地和野生动植物保护管理站) +1
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Patent Information

Application Number
CN202511963368.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-24
Publication Date
2026-04-10
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing technologies are insufficient for continuous and accurate monitoring and trend analysis of the ecological quality of crested ibis habitats. Traditional methods are labor-intensive and slow to update, remote sensing technology is difficult to capture microhabitat characteristics, and environmental DNA technology has failed to deeply correlate with the functional status of ecosystems.

Method used

A smart sensing network is constructed to acquire multi-source data and generate a multi-dimensional habitat parameter table through edge computing. Combined with metagenomic sequencing and bioinformatics analysis, a machine learning prediction model is trained to generate a habitat functional health index. Spatial interpolation and trend analysis are performed to generate a spatiotemporal evolution map of ecological quality and perform quantitative analysis.

Benefits of technology

It enables in-depth correlation and comprehensive evaluation of multi-dimensional habitat information, quantifies dynamic changes in ecological quality in real time, provides quantitative and accurate decision-making basis for protection and management, and improves the effectiveness of habitat protection and management.

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Abstract

The invention discloses a crested ibis habitat ecological quality trend analysis method and system, and relates to ecological quality monitoring. The method comprises the following steps: S1, constructing an intelligent sensing network, synchronously obtaining multi-source data of a habitat, identifying activity events of crested ibis, and generating a multi-dimensional habitat parameter table; s2, collecting environmental samples, and generating a microbial functional gene abundance matrix through metagenome sequencing and bioinformatics analysis; s3, taking the activity events of the crested ibis as behavior tags, and generating habitat function health indexes by coupling the parameter table and the matrix training machine learning prediction model; s4, performing spatial interpolation and trend analysis based on the habitat function health index to generate an ecological quality space-time evolution graph; and S5, based on the ecological quality space-time evolution graph, performing quantitative analysis by using a spatial differentiation statistical model, and generating a trend analysis report. By fusing multi-source data, real-time dynamic evaluation of habitat ecological quality and quantitative analysis of driving factors are realized, and a direct decision basis is provided for accurate protection.
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