Can ecosystem services supply decrease the vulnerability of socio-ecological systems?
Keywords
ecosystem services supply, flow, vulnerability, demand
Start Date
26-6-2018 9:00 AM
End Date
26-6-2018 10:20 AM
Abstract
Spatially explicit quantification of ecosystem services (ES) supply has been widely recognized as a key approach in ecosystem management and land-use policy making. It is widely agreeing that vulnerability of socio-ecological system is determined by the exposure, susceptibility and adaptive capacities. However, the relationship between ES supply and socio-ecological vulnerability to specific natural hazards is not well characterized. By combining ES modeling with a vulnerability framework in two distinct socio-ecological systems, we assessed whether increasing levels of ES also decrease the vulnerability to a nature hazard -- in this case tropical cyclones -- using the Pearl River Delta in China as the study area. Firstly, using geographical data and other available information (both ecological and social), we quantified typical ES (Grain Production, Soil Conservation, Water Yield, Carbon Sequestration, Outdoor Recreation) with InVEST model and spatial analysis, and then identified ES supply hotspots. Secondly, we assessed the vulnerability of socio-ecological system based on vulnerability framework, in which the variables were selected by Principle Component Analysis. Thirdly, we built the spatial coupling between ES supply and vulnerability to the natural hazards. Our results aim to find out the relationship between ES supply and the vulnerability, which could support best policy target for promoting effective contribution of ES to human wellbeing.
Can ecosystem services supply decrease the vulnerability of socio-ecological systems?
Spatially explicit quantification of ecosystem services (ES) supply has been widely recognized as a key approach in ecosystem management and land-use policy making. It is widely agreeing that vulnerability of socio-ecological system is determined by the exposure, susceptibility and adaptive capacities. However, the relationship between ES supply and socio-ecological vulnerability to specific natural hazards is not well characterized. By combining ES modeling with a vulnerability framework in two distinct socio-ecological systems, we assessed whether increasing levels of ES also decrease the vulnerability to a nature hazard -- in this case tropical cyclones -- using the Pearl River Delta in China as the study area. Firstly, using geographical data and other available information (both ecological and social), we quantified typical ES (Grain Production, Soil Conservation, Water Yield, Carbon Sequestration, Outdoor Recreation) with InVEST model and spatial analysis, and then identified ES supply hotspots. Secondly, we assessed the vulnerability of socio-ecological system based on vulnerability framework, in which the variables were selected by Principle Component Analysis. Thirdly, we built the spatial coupling between ES supply and vulnerability to the natural hazards. Our results aim to find out the relationship between ES supply and the vulnerability, which could support best policy target for promoting effective contribution of ES to human wellbeing.
Stream and Session
C8: Ecosystem Services in a Context of Global Change: Quantification and Socio-economic Evaluation