| Literature DB >> 31308573 |
Erik Andersson1,2, Johannes Langemeyer3,4, Sara Borgström5, Timon McPhearson1,6,7, Dagmar Haase8,9, Jakub Kronenberg10, David N Barton11, McKenna Davis12, Sandra Naumann12, Lina Röschel12, Francesc Baró3.
Abstract
The circumstances under which different ecosystem service benefits can be realized differ. The benefits tend to be coproduced and to be enabled by multiple interacting social, ecological, and technological factors, which is particularly evident in cities. As many cities are undergoing rapid change, these factors need to be better understood and accounted for, especially for those most in need of benefits. We propose a framework of three systemic filters that affect the flow of ecosystem service benefits: the interactions among green, blue, and built infrastructures; the regulatory power and governance of institutions; and people's individual and shared perceptions and values. We argue that more fully connecting green and blue infrastructure to its urban systems context and highlighting dynamic interactions among the three filters are key to understanding how and why ecosystem services have variable distribution, continuing inequities in who benefits, and the long-term resilience of the flows of benefits.Entities:
Keywords: environmental justice; green and blue infrastructure; multifunctionality; resilience; urban social–ecological systems
Year: 2019 PMID: 31308573 PMCID: PMC6622445 DOI: 10.1093/biosci/biz058
Source DB: PubMed Journal: Bioscience ISSN: 0006-3568 Impact factor: 8.589
Figure 1.The systems model. The green and blue infrastructure components and their different ecological qualities provide the first necessary precondition for ecosystem services. Systemic factors (the purple boxes) can enable or disable the flow of ecosystem services and thus influence translation of ecosystem services into various benefits to beneficiaries (the red box). Downward oriented arrows represent the feedback from beneficiaries and other actors (the red arrows) and different filters (the two-way purple arrows) that can influence either other filters or the green and blue infrastructure components that underlie ecosystem service supply. These dynamics are then embedded in larger scale change exemplified in the article (but not necessarily restricted to) land-use change at a regional scale and environmental change at a global scale.
Capturing the necessary preconditions for ES benefit realization.
| Filter | When is the filter particularly relevant? | Primary influence on flows of ES benefits | Descriptors and parameters | Methods |
|---|---|---|---|---|
| Infrastructure | When supply and demand do not coincide or where benefits are dependent on additional facilities or mediation | Functional connectivity between types of GBI and areas for housing, services and work. Physical barriers (for good and bad) and gray influence on the biophysical environment (externalities), creating need. | Quality, character and interconnections of infrastructures, network structure and topology, relations between source and demand, transportation options | Spatial analyses of urban morphology, environmental quality monitoring and modeling, mapping and modeling mobility options |
| Institutions | When benefits are strongly associated with either active use (of a resource) or a clear good (especially when the good is in limited supply). Institutions also have a second-order effect on benefit distribution or accessibility by regulating mobility. | Regulation of planning design and practical management and use. Articulation of values and goals or agenda setting. Restrictions to public access, formally or informally regulating activities that enable different benefits (e.g., recreation). | Land ownership and tenure rights, content of policy and access to policy formation processes including influence on value articulating institutions, actor mandates, social norms, management rules, policy alignment | Policy analysis by the use of documents, interviews and modeling. Participatory, multistakeholder assessments |
| Perceptions | When benefits are subjective, cocreated, intangible, relational or context dependent | Individual differences in how opportunities afforded by infrastructure and institutions are perceived and valued, relational dimensions of value, knowledge as an enabling factor | Demographics, socioeconomic status, value orientations, knowledge (available and held), learning | Interviews, questionnaires, behavioral or preference observation, modeling (agent-based models) |