Explaining long-term outcome trajectories in social-ecological systems

Area of Science:

• Social-ecological systems analysis
• Environmental sustainability science
• Environmental economics

Background:

• Coupled human and natural systems require better understanding of long-term trends for sustainable trajectories.
• Social-ecological systems (SESs) face complex interactions between social and environmental factors.
• Effective policy interventions necessitate robust analysis of outcome drivers.

Purpose of the Study:

• To develop and apply an approach for analyzing long-term outcome trajectories in SESs.
• To quantify the contribution of biophysical and socioeconomic factors to ecological outcomes.
• To assess the utility of the approach for policy targeting and impact assessment in SESs.

Main Methods:

• Combined common property theory with experimental impact evaluation methods.
• Utilized synthetic control matching to construct counterfactual scenarios for vegetation outcomes.
• Analyzed long-term outcome trajectories in the Indian Himalaya.

Main Results:

• Identified baseline vegetation condition, governance, and demographic change as key predictors of long-term ecological outcomes.
• Quantified the relative importance of various factors in shaping observed vegetation trajectories.
• Demonstrated the approach's ability to analyze SES outcome drivers.

Conclusions:

• The developed approach offers a robust method for analyzing long-term SES trajectories.
• Findings highlight critical factors for guiding sustainability in social-ecological systems.
• The approach has broad potential for policy analysis and sustainability goal assessment globally.