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Pathways to Modelling Ecosystem Services within an Urban Metabolism Framework

doi: 10.3390/su11102766
handle: 11311/1252447
Urbanisation poses new and complex sustainability challenges. Socio-economic activities drive material and energy flows in cities that influence the health of ecosystems inside and outside the urban system. Recent studies suggest that these flows, under the urban metabolism (UM) metaphor, can be extended to encompass the assessment of urban ecosystem services (UES). Advancing UM approaches to assess UES may be a valuable solution to these arising sustainability challenges, which can support urban planning decisions. This paper critically reviews UM literature related to the UES concept and identifies approaches that may allow or improve the assessment of UES within UM frameworks. We selected from the UM literature 42 studies that encompass UES aspects, and analysed them on the following key investigation themes: temporal information, spatial information, system boundary aspects and cross-scale indicators. The analysis showed that UES are rarely acknowledged in UM literature, and that existing UM approaches have limited capacity to capture the complexity of spatio-temporal and multi-scale information underpinning UES, which has hampered the implementation of operational decision support systems so far. We use these results to identify and illustrate pathways towards a UM-UES modelling approach. Our review suggests that cause–effect dynamics should be integrated with the UM framework, based on spatially-specific social, economic and ecological data. System dynamics can inform on the causal relationships underpinning UES in cities and, therefore, can help moving towards a knowledge base tool to support urban planners in addressing urban challenges.
- University of Lisbon Portugal
- Aalborg University Denmark
- Polytechnic University of Milan Italy
- Luxembourg Institute of Science and Technology Luxembourg
- Center for Innovation United States
Multiscale, urban metabolism, TJ807-830, /dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production; name=SDG 12 - Responsible Consumption and Production, TD194-195, Renewable energy sources, Spatio-temporal dynamics, Ecosystem services, Socio-ecological impacts, /dk/atira/pure/sustainabledevelopmentgoals/climate_action; name=SDG 13 - Climate Action, GE1-350, Environmental effects of industries and plants, Urban metabolism, socio-ecological impacts, /dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land, spatio-temporal dynamics, sustainability, Environmental sciences, Sustainability, multiscale, ecosystem services, /dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities; name=SDG 11 - Sustainable Cities and Communities
Multiscale, urban metabolism, TJ807-830, /dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production; name=SDG 12 - Responsible Consumption and Production, TD194-195, Renewable energy sources, Spatio-temporal dynamics, Ecosystem services, Socio-ecological impacts, /dk/atira/pure/sustainabledevelopmentgoals/climate_action; name=SDG 13 - Climate Action, GE1-350, Environmental effects of industries and plants, Urban metabolism, socio-ecological impacts, /dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land, spatio-temporal dynamics, sustainability, Environmental sciences, Sustainability, multiscale, ecosystem services, /dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities; name=SDG 11 - Sustainable Cities and Communities
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).37 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
