Enhancing nature-based solutions acceptance through stakeholders' engagement in co-benefits identification and trade-offs analysis

Giordano, R.; Pluchinotta, Irene; Pagano, Alessandro; Scrieciu, Albert; Nanu, Florentina

doi:10.1016/j.scitotenv.2020.136552

Cited by 113 publications

(61 citation statements)

References 41 publications

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“…Storylines have been used by many researchers to complement models (Arico et al, 2005;Booth et al, 2016;Trutnevyte et al, 2014). Guhathakurta (2002) stated that storylines underpin models as a means of reconstructing and investigating stories. In addition, Trutnevyte et al (2014) stated that the iteration between storylines and model results could correct over or underestimations depicted by either.…”

Section: Storytellingmentioning

confidence: 99%

Multi-level storylines for participatory modeling – involving marginalized communities in Tz'olöj Ya', Mayan Guatemala

Nassar

Malard

Adamowski

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. Unconventional sources of data that enhance our understanding of internal interactions between socio-economic and hydrological processes are central to modeling human–water systems. Participatory modeling (PM) departs from conventional modeling tools by informing and conceptualizing human–water systems through stakeholder engagement. However, the implementation of many PM processes remains biased, particularly in regions where marginalized communities are present. Many PM processes are not cognizant of differentiation and diversity within a society and tend to treat communities as homogeneous units with similar capabilities, needs, and interests. This undifferentiation leads to the exclusion of key actors, many of whom are associated with marginalized communities. In this study, a participatory model-building framework (PMBF), aiming to ensure the inclusiveness of marginalized stakeholders – who (1) have low literacy, (2) are comparatively powerless, and/or (3) are associated with a marginalized language – in participatory modeling, is proposed. The adopted approach employs interdisciplinary storylines to inform and conceptualize human–water systems. The suggested method is underpinned by the multi-level perspective (MLP) framework, which was developed by Geels et al. (2002) to conceptualize socio-technical transitions and modified in this study to accommodate the development of interdisciplinary storylines. A case study was conducted in Atitlán Basin, Guatemala, to understand the relationships that govern the lake's cultural eutrophication problem. This research integrated key stakeholders from the Indigenous Mayan community, associated with diverse literacy ranges, and emerging from three different marginalized linguistic backgrounds (Kaqchikel, Tz'utujil, and K'iche'), in the PM activity. The proposed approach facilitated the participation of marginalized stakeholders. Moreover, it (1) helped develop an understanding of mechanisms governing the eutrophication of the lake, (2) initiated a dialogue between Indigenous Peoples and non-Indigenous stakeholders, and (3) extracted potential solutions targeting the system's leverage points. The participatory model-building activity generated three submodules: (1) agriculture, (2) tourism, and (3) environmental awareness. Each submodule contained socioculturally specific mechanisms associated with nutrient discharge to Lake Atitlán. The delineation of such nuanced relationships helps develop well-targeted policies and best management practices (BMPs). Additionally, the suggested process helped decrease the impact of power imbalances in water resources management and empowered community-based decision-making.

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Section: Storytellingmentioning

confidence: 99%

Multi-level storylines for participatory modeling – involving marginalized communities in Tz'olöj Ya', Mayan Guatemala

Nassar

Malard

Adamowski

et al. 2021

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

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“…First, Kabisch et al (2016), Ruangpan et al (2020) demonstrated how the lack of stakeholders' engagement and the limited integration of stakeholders' and scientific knowledge in NBS design represent a barrier hampering their implementation. Second, Alves et al (2019), Giordano et al (2020) showed that institutional actors should be capable to account for the different needs and concerns related to NBS design and implementation, in order to avoid trade-offs among different stakeholders and potential conflicts. Finally, ineffective cooperation among different decision-makers and stakeholders could hamper NBS implementation and/or reduce its effectiveness, as discussed by Shrestha and Dhakal (2019) and Gómez Martín et al (2020).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, methods and tools for supporting decisionmakers in detecting the barriers to NBS implementation, to define measures for overcoming those barriers, and to enhance the NBS effectiveness are needed. In line with the works of Raymond et al (2017), Alves et al (2018), we assume that NBS effectiveness is not simply related to the risk reduction but also to the production of co-benefits, defined as the various benefits related to a wide range of societal challenges (e.g., environmental, economic, and societal) that can be simultaneously provided by an NBS over a certain period (Jiang et al, 2016;Raymond et al, 2017;Giordano et al, 2020;Coletta et al, 2021). To this aim, a participatory modeling approach, based on the integration between stakeholders' and scientific knowledge, was implemented in this work.…”

Section: Introductionmentioning

confidence: 99%

“…In this work, FCMs were adopted as a problem structuring method for eliciting stakeholders' risk perception and for problem understanding, as well as for constructing the causal model. Stakeholders' knowledge was used for describing "soft" variables in the BBN, that is, those variables related to sociocultural and institutional aspects (e.g., risk awareness), that are difficult to quantify (Pagano et al, 2018a;Santoro et al, 2019;Giordano et al, 2020). "Hard" variables-that is, the quantitative ones obtained from hydraulic models-were translated into the BBN form for describing physical processes related to water-related risks and NBS impacts.…”

Section: Introductionmentioning

confidence: 99%

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Bayesian Belief Networks for Integrating Scientific and Stakeholders’ Knowledge to Support Nature-Based Solution Implementation

et al. 2021

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There is a growing interest worldwide on the potential of nature-based solutions (NBSs) as measures for dealing with water-related risks while producing multiple co-benefits that can contribute to several societal challenges and many of the sustainable development goals. However, several barriers still hamper their wider implementation, such as mainly the lack of stakeholders’ engagement and the limited integration of stakeholders’ knowledge throughout the phases of NBS design and implementation. This is a crucial aspect to guarantee that the multidimensional implications of NBSs are adequately understood and considered by decision-makers. Innovative methods and tools for improving NBS design and supporting decision-makers in overcoming the main barriers to implementation, ultimately enhancing their effectiveness, are therefore needed. The present work proposes a combined approach based on the integration of fuzzy cognitive maps, hydraulic modeling, and participatory Bayesian belief networks aiming to facilitate the stakeholders’ engagement and the knowledge integration process in NBS design and assessment. The approach was developed and implemented within the NAIAD project in the Lower Danube demo site, specifically oriented to support the process of the Potelu Wetland restoration. First, fuzzy cognitive maps are adopted as a problem structuring method for eliciting stakeholders’ risk perception and problem understanding, and for constructing a causal model describing the system as a whole, with specific attention to the expected role of the NBS in reducing flood risk and addressing the key local challenges. Second, hydraulic modeling is used to analyze the effect of extreme floods starting from the retrospective analysis of a specific event and to model the potential benefits of risk reduction measures. Last, a Bayesian belief network is used to support the model integration process and a scenario analysis with a user-friendly tool. The whole process can be replicated in other areas and is particularly suitable to support an active engagement of stakeholders (both institutional and not) in the process of NBS design and assessment.

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“…This is particularly true in the climate change perspective, where the research for solutions must collide with the social, economic, and political aspects simultaneously (e.g., [22,23]). Several studies have been conducted to investigate the effectiveness of the NBSs accounting for the co-benefits for the stakeholders and the resulting trade-off reduction [24,25]. Moreover, NBSs are increasingly seen as a solution for the achievement of several sustainable development goals by bringing a set of societal benefits [26].…”

Section: Introductionmentioning

confidence: 99%

On the Management of Nature-Based Solutions in Open-Air Laboratories: New Insights and Future Perspectives

et al. 2021

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The adoption of Nature-Based Solutions (NBSs) represents a novel means to mitigate natural hazards. In the framework of the OPERANDUM project, this study introduces a methodology to assess the efficiency of the NBSs and a series of Open-Air Laboratories (OALs) regarded as a proof-of-concept for the wider uptake of NBSs. The OALs are located in Finland, Greece, UK, Italy, and Ireland. The methodology is based on a wide modeling activity, incorporated in the context of future climate scenarios. Herein, we present a series of models’ chains able to estimate the efficiency of the NBSs. While the presented models are mainly well-established, their coupling represents a first fundamental step in the study of the long-term efficacy and impact of the NBSs. In the selected sites, NBSs are utilized to cope with distinct natural hazards: floods, droughts, landslides, salt intrusion, and nutrient and sediment loading. The study of the efficacy of NBSs to mitigate these hazards belongs to a series of works devoted to the implementation of NBSs for environmental purposes. Our findings prove that land management plays a crucial role in the process. Specifically, the selected NBSs include intensive forestry; the conversion of urban areas to grassland; dunes; marine seagrass; water retention ponds; live cribwalls; and high-density plantations of woody vegetation and deep-rooted herbaceous vegetation. The management of natural resources should eventually consider the effect of NBSs on urban and rural areas, as their employment is becoming widespread.

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Enhancing nature-based solutions acceptance through stakeholders' engagement in co-benefits identification and trade-offs analysis

Cited by 113 publications

References 41 publications

Multi-level storylines for participatory modeling – involving marginalized communities in Tz'olöj Ya', Mayan Guatemala

Multi-level storylines for participatory modeling – involving marginalized communities in Tz'olöj Ya', Mayan Guatemala

Bayesian Belief Networks for Integrating Scientific and Stakeholders’ Knowledge to Support Nature-Based Solution Implementation

On the Management of Nature-Based Solutions in Open-Air Laboratories: New Insights and Future Perspectives

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