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Related Experiment Video

Updated: Jul 2, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Empirical social-ecological system analysis: from theoretical framework to latent variable structural equation model.

Stanley Tanyi Asah¹

¹Department of Forest Resources, University of Minnesota, St. Paul, MN 55108, USA. asah0002@umn.edu

Environmental Management

|September 6, 2008

Summary

This study simplifies complex social-ecological systems (SES) for sustainability. It develops easy-to-understand indicators for managing natural resources and human-environment interactions effectively.

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Last Updated: Jul 2, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Area of Science:

Environmental Science
Sustainability Science
Systems Ecology

Background:

Social-ecological systems (SES) are crucial for sustainable natural resource management.
The complexity of human-environment interactions hinders effective SES management and policy-making.
Simplifying SES parameters is necessary for practical application.

Purpose of the Study:

To develop simplified, interpretable indicators for assessing the state and trends of social-ecological systems.
To provide a framework for effective monitoring, intervention, and assessment in SES management.
To illustrate the application of a systemic theoretical model integrating diverse data sources.

Main Methods:

Integration of field observations, interviews, and surveys.
Application of a rigorously developed systemic theoretical model.
Utilized latent variable modeling to develop indicators for SES processes.

Main Results:

Developed simplified and easily interpretable indicators for SES state and trends.
Demonstrated the approach's utility in the Logone floodplain, Lake Chad basin case study.
Generated communicable determinants of SES state for diverse stakeholders.

Conclusions:

The developed approach effectively simplifies complex SES for practical management.
The indicators are valuable for monitoring SES, guiding interventions, and assessing effectiveness.
Merging quantitative and qualitative methods is essential for robust SES monitoring and assessment.