Blue-Green Systems (Sep 2021)

How can we govern large-scale green infrastructure for multiple water security benefits?

  • Lidia Cano Pecharroman,
  • Christopher Williams,
  • Nell Green Nylen,
  • Michael Kiparsky

DOI
https://doi.org/10.2166/bgs.2021.015
Journal volume & issue
Vol. 3, no. 1
pp. 62 – 80

Abstract

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Traditional, limited purpose grey infrastructure has failed to address the world's interrelated water challenges. Improving water security will increasingly require more integrated responses. This paper examines large-scale green infrastructure (LSGI), planned natural or hybrid systems that materially affect water security at the watershed scale, as one such response. This paper examines key challenges for governing and financing LSGI, which hinder its broader use. We report on four case studies located in the United States where LSGI is being employed to improve water security. Through analysis of these case studies and related literature, we identify three themes important for LSGI governance: cost sharing, performance monitoring, and legitimization. First, we hypothesize that formal cost sharing based on the multiple benefits LSGI provides could enable wider adoption, but find that in these examples cost sharing is limited and informal. Second, our research suggests that expanding performance monitoring to encompass key secondary benefits could help clarify how the benefits and burdens of a project are distributed across stakeholders, facilitate cost sharing, and enhance project legitimacy. Finally, LSGI will require further legitimization – developing a broader perception that LSGI is an appropriate alternative or complement to grey infrastructure – to develop as a viable contributor to water security. HIGHLIGHTS Large-scale green infrastructure (LSGI) has promise to address complex water security challenges.; LSGI represents a paradigm shift from traditional grey infrastructure.; Case studies suggest that governance of LSGI lacks maturity, gating wider adoption and diffusion.; Novel funding models, improved performance monitoring, and legitimization at multiple scales must be addressed to increase the adoption and diffusion of LSGI.;

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