Mapping the causality of interacting perceptions for nature-based solution and sludge treatment reed bed: A causal loop diagram in Iceland

Abstract

To ensure the successful implementation of Nature-Based Solutions (NBS), it is essential to assess the perception of key stakeholders. To visualize the perception of NBS key stakeholders and to identify potential opportunities and eventual conflicting interests, five groups of stakeholders were identified: (i) academics, (ii) governments, (iii) NGOs, (iv) water companies, and (v) local communities. Semi-structured interviews with the representatives of these five groups were conducted across Iceland. The interviews were transcribed using Vivo coding, an open-coded method. 170 variables were found within codes and classified into Independent, Dependent, and Intervening Groups of variables (InDGs, DGs, and IGs, respectively). These variables were mapped using the Vensim model to visualize the causality of each variable with one another. The Vensim model identified 85 InDGs, 43 DGs, and 42 IGs. The InDGs and DGs were classified into themes to visualize the effect of variables on 13 topical groups in Causal Diagrams (CDs) focusing on NBS and Sludge Treatment Reed Bed (STRB) technology. A causal loop between biodiversity, sustainability, and seawater quality was identified in the aggregated CD. This study sheds light on the reforms needed in the Icelandic system to facilitate resource recovery from sewage sludge in Iceland using NBS and STRB. Hence, our findings provide policy and decision-makers with intra-community information to identify factors influencing STRB application.

Keywords

• Nature-based solutions
• Sludge treatment reed bed
• Semi-structured interview
• Open coded method
• Causal diagram