A method for evaluating the effect of the livelihood transition of farmers and herders based on multi-scale data fusion

By using multi-scale data fusion and multi-objective programming models, the cross-scale correlation between farmers' livelihood decisions and ecosystem service functions was solved, realizing the sustainability of farmers' livelihood transformation programs and the coordination of ecological economy, and improving the systematicness and dynamism of the assessment.

CN122347347APending Publication Date: 2026-07-07BEIJING NORMAL UNIVERSITY
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING NORMAL UNIVERSITY
Filing Date
2025-10-15
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing technologies are insufficient to reveal the cross-scale natural connections and dynamic feedback mechanisms through which farmers' and herders' micro-livelihood decisions are transmitted to the evolution of ecosystem service functions via land use change. The assessment results are fragmented and lack systematicity, failing to achieve the connection and linkage between natural and socio-economic factors in a multi-level system, and unable to respond to the dynamic scenario evolution of changes in ecological value.

Method used

By fusing multi-scale data, including livelihood activities and assets at the farmer and herder scale and land use data at the landscape scale, we use income-asset regression models and latent variable clustering analysis to generate livelihood strategy classification results. We combine multiple Logit regression models to analyze driving factors, construct agent-based models to simulate land use decisions, use the equivalent factor method to assess changes in ecosystem service value, and construct multi-objective programming models to generate sustainable livelihood transformation solutions.

Benefits of technology

It has enabled the quantification and simulation of the cross-scale dynamic feedback mechanism between farmers' and herders' livelihood decisions and ecosystem service functions, generated sustainable livelihood transformation solutions, improved the rationality of land use change simulation and the dynamic assessment of ecosystem service value, and achieved synergistic optimization of ecological and economic goals.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122347347A_ABST
    Figure CN122347347A_ABST
Patent Text Reader

Abstract

The present application belongs to the field of agricultural information technology, and particularly relates to a kind of method for evaluating the effect of farming and herding household livelihood transition based on multi-scale data fusion, which first obtains and integrates multi-source data of farming and herding household scale and landscape scale; subsequently, at the scale of farming and herding household, the income-asset regression model and latent variable cluster analysis are used to generate the classification results of livelihood strategies, and the multi-item Logit model is used to analyze the driving factors; at the landscape scale, the model simulating land use change under different scenarios is constructed based on the driving factors, and the equivalent factor method is used to quantify the changes in ecosystem service value caused thereby; finally, at the regional scale, the changes in ecosystem service value are taken as the core ecological constraint, and the multi-objective programming model is used to generate the sustainable livelihood transition scheme with the optimal comprehensive benefits of ecology and economy. The present application breaks through the limitations of traditional single-scale static analysis, and realizes the multi-level dynamic coupling evaluation from micro-behavior to macro-effect.
Need to check novelty before this filing date? Find Prior Art