Integrating ecosystem service supply and demand into ecological risk assessment: a comprehensive framework and case study

Context Human beings face a growing supply-demand risk in ecosystem services (SDRES) due to anthropogenic environmental change and human activity. It is urgent to construct an integrated framework that can identify where and the extent to which SDRES threatens human wellbeing. Objectives This study attempts to construct a framework to characterize SDRES. This framework could help optimize ecosystem management and protect priority areas at high risk. Methods We used the overlay analysis method to construct a framework that characterizes eight risk levels using four comprehensive indicators: supply-demand ratio, the trend of supply-demand ratio, ES supply trend, and trade-off and synergy. We assessed the supply-demand risk of freshwater, grain, and soil conservation services in the Qinling Mountains Region of China, as a case study to illustrate the feasibility of the framework. Results Our results showed the different supply-demand risk levels of freshwater, grain, and soil conservation services in the Qinling Mountains Region. Supply-demand risk for freshwater and grain were similar, with high-risk areas distributed mainly in urban regions. High-risk areas for soil conservation service were patchy and scattered throughout the region. Conclusions The framework and indicators proposed in this study are applicable for SDRES assessment at regional scales. This spatially-explicit model can help inform decision-makers with priority areas setting and develop effective risk management strategies. Future studies could integrate scenario simulation and multi-scale assessments into the SDRES framework to further reduce the uncertainty in risk assessment models and improve risk mitigation capability.

Automated summary

The study constructed a framework to characterize SDRES, aiming to optimize ecosystem management and protect high-risk priority areas.