Sustainability transformations imply fundamental changes in the societal use of biophysical resources. Current socioeconomic metabolism research traces flows of energy, materials or substances to capture resource use: input of raw materials or energy, their fate in production and consumption, and the discharge of wastes and emissions. This approach has yielded important insights into eco-efficiency and long-term drivers of resource use. But due to its focus on flows, socio-metabolic research has not yet incorporated material stocks or their services, thereby not fully realizing its analytic potential. MAT_STOCKS addresses this gap by developing a consistent typology, indicators and databases of material stocks and their services, building upon economy-wide material flow analysis. It will create a comprehensive, global, national-level, validated material stocks and services database as well as maps of material stocks from remote-sensing data. This will allow analyzing the stock/flow/service nexus and underpin highly innovative indicators of eco-efficiency overcoming limitations of current approaches which mainly relate resource use or emissions to population and GDP. New insights on stock/flow/service relations, the relevance of spatial patterns and options for decoupling will be used to create a dynamic model to assess option spaces for transformations towards sustainable metabolism. MAT_STOCKS will identify barriers and leverage points for future sustainability transformations and the SDGs, and elucidate their socio-ecological and political implications. Our preliminary analyses suggest that unravelling the stock/flow/service nexus provides a crucial missing link in socio-metabolic research because it explains why, how and where patterns of material and energy use change or remain locked-in. Thereby, important analytical insights will be introduced into the largely normative and local discourses on the transformation towards a sustainable society.
Fields of science
Call for proposalSee other projects for this call
Funding SchemeERC-ADG - Advanced Grant
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