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Abstract Maximizing the functional performance of urban green infrastructure is important to deliver critical ecosystem services that support human well-being. However, urban ecosystems are impacted by social and ecological filters that affect biodiversity, shaping how species’ traits are functionally expressed, thus affecting ecosystem services supply. Our Social–Ecological Traits Framework addresses the impacts of socio-ecological systems on the phenotypic expression of traits and ecosystem services delivery. This functional approach to examining the supply of ecosystem services can improve the incorporation of biodiversity knowledge in urban planning decisions for maximizing the effectiveness of ecosystem services as nature-based solutions under multiple types of social and environmental change.
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An Ecologically Safe and Socially Just Supply Chain Design for Li-battery
Global goals like “Net-zero”, “Nature-positive”, and “Socially Just” require human activities to reduce emissions, restore nature, and be socially equitable. This work proposes an approach that includes ecological capacity and social justice requirements to guide engineering decisions and designs. We utilize the supply and demand of ecosystem services to identify the safe and just operating space1,2. The ecologically safe space is determined by the multiscale framework of Techno-Ecological Synergy (TES). The degree of overshoot quantifies the absolute environmental sustainability (AES) at the relevant spatial scale3,4. For the socially just space, we calculate a minimum threshold of necessary goods and services to meet basic food, energy, and water5 needs. We demonstrate this approach by a multiobjective supply chain design of Li-battery which minimizes the ecological and social overshoot simultaneously.
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- Award ID(s):
- 1804943
- PAR ID:
- 10436520
- Date Published:
- Journal Name:
- PROCEEDINGS OF THE 33rd European Symposium on Computer Aided Process Engineering (ESCAPE33)
- Page Range / eLocation ID:
- 3435-3440
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1016/B978-0-443-15274-0.50548-5
