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H2020 Project COASTAL - Deliverable D14 Operational SD Models for Coastal-Rural Interactions -Case Study Level

Authors: Karageorgis, Aris; Panagopoulos, Yiannis; Kastanidi, Erasmia; Destouni, Georgia; Kalantari, Zahra; Seifollahi-Aghmiuni, Samaneh; Maneas, Giorgos; +15 Authors

H2020 Project COASTAL - Deliverable D14 Operational SD Models for Coastal-Rural Interactions -Case Study Level

Abstract

Existing research and administration primarily addresses coastal and rural development from either a land- or sea-based perspective, making policy recommendations ill-adapted to fully benefit from opportunities which could otherwise foster synergistic economic development of coastal regions and the hinterland. The aim of the H2020 project COASTAL (https://h2020-coastal.eu), which started in May 2018, is to identify these opportunities by improved understanding of the social-ecological land-sea interactions. To this end, coastal and rural stakeholders interacted with local experts in six Multi-Actor Labs throughout the EU Territory. Causal Loop Diagrams, System Dynamics (SD) models, scenarios and other tools have been developed to support the design of evidence-based business road maps and policy guidelines. This WP4 deliverable (D14) is a status report for the progress made with the design and implementation of the operational land-sea models by the Multi-Actor Labs (MALs) after 36 months. The report builds on the deliverable D13 describing the system architecture and database for the draft models (Viaene et al., 2020). These operational stock-flow models are now available for all MALs and can be used to analyse systemic land-sea interactions and evaluate different policy alternatives with examples described in this deliverable. Not surprisingly, the project and systems modelling were affected by the impacts of the covid-19 pandemic. Planned formal and informal meetings with partners to jointly discuss the progress of the modelling, technical and design problems, and work out solutions had to be organised as online events which turned out to be far less effective despite of the number of meetings. Nevertheless, all MALs were able to identify the key stock and flow variables and quantify the social-environmental interactions connecting these variables. In the final phase of the project, these models will be combined with quantified scenarios to address system uncertainties and used to visualize business road maps and policy actions. This will help make policy and business recommendations evidence-based and allow comparison of proposed strategies for coastal-rural development, including best practices and system tipping points. Topics range from fish farming, sustainable water management, eco farming and rural tourism to renewable energy, and are being examined in the context of the EU Green Deal. Important methodological lessons can be learned from the modelling exercise. Model complexity should be tuned to the purpose of holistic policy analysis with enough consideration for cross-thematic aspects. Stakeholders are best engaged in the co-creation process by focusing on the policy implications rather than the underlying modelling, even if their feedback on models is constructive and useful. A step-by-step design strategy supported with system archetypes and concrete examples is essential for facilitating the translation of causal loop diagrams into operational policy models. To conclude, we provide a synthesis section in which the general status of the MAL models is summarised and in which we reflect on the progress made with the modelling and provide an outlook for remaining challenges in the modelling process.; This WP4 deliverable (D14) is a status report for the progress made with the design and implementation of the operational land-sea models by the Multi-Actor Labs (MALs) after 36 months. The report builds on the deliverable D13 describing the system architecture and database for the draft models (Viaene et al., 2020). These operational stock-flow models are now available for all Multi Actor Labs and can be used to analyse systemic land-sea interactions and evaluate different policy alternatives with examples described in this deliverable. Not surprisingly, the project and systems modelling were affected by the impacts of the covid-19 pandemic. Planned formal and informal meetings with partners to jointly discuss the progress of the modelling, technical and design problems, and work out solutions had to be organised as online events which turned out to be far less effective despite of the number of meetings. Nevertheless, all MALs were able to identify the key stock and flow variables and quantify the social-environmental interactions connecting these variables. In the final phase of the project, these models will be combined with quantified scenarios to address system uncertainties and used to visualize business road maps and policy actions. This will help make policy and business recommendations evidence-based and allow comparison of proposed strategies for coastal-rural development, including best practices and system tipping points. Topics range from fish farming, sustainable water management, eco farming and rural tourism to renewable energy, and are being examined in the context of the EU Green Deal. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement N° 773782 This document was produced under the terms and conditions of Grant Agreement No. 773782 for the European Commission. It does not necessary reflect the view of the European Union and in no way anticipates the Commission's future policy in this area Dissemination level PU Public X CO Confidential, restricted under conditions set out in Model Grant Agreement CI Classified information as referred to in Commission Decision 2001/844/EC); Ce livrable WP4 (D14) est un état d'avancement de la conception et de la mise en œuvre des modèles opérationnels terre-mer par les Multi-Actor Labs (MALs) après 36 mois. Le rapport s'appuie sur le livrable D13 décrivant l'architecture du système et la base de données pour les projets de modèles (Viaene et al., 2020). Ces modèles opérationnels stock-flux sont désormais disponibles pour tous les laboratoires multi-acteurs et peuvent être utilisés pour analyser les interactions systémiques terre-mer et évaluer différentes alternatives politiques avec des exemples décrits dans ce livrable. Sans surprise, la modélisation du projet et des systèmes a été affectée par les impacts de la pandémie de covid-19. Des réunions formelles et informelles planifiées avec des partenaires pour discuter conjointement de l'avancement de la modélisation, des problèmes techniques et de conception, et trouver des solutions ont dû être organisées sous forme d'événements en ligne qui se sont avérés beaucoup moins efficaces malgré le nombre de réunions. Néanmoins, tous les MAL ont pu identifier les principales variables de stock et de flux et quantifier les interactions socio-environnementales reliant ces variables. Dans la phase finale du projet, ces modèles seront combinés à des scénarios quantifiés pour répondre aux incertitudes du système et utilisés pour visualiser les feuilles de route commerciales et les actions politiques. Cela aidera à fonder les recommandations politiques et commerciales sur des données probantes et permettra de comparer les stratégies proposées pour le développement côtier et rural, y compris les meilleures pratiques et les points de basculement du système. Les sujets vont de la pisciculture, la gestion durable de l'eau, l'agriculture écologique et le tourisme rural aux énergies renouvelables, et sont examinés dans le cadre du Green Deal de l'UE. Ce projet a reçu un financement du programme de recherche et d'innovation Horizon 2020 de l'Union européenne dans le cadre de la convention de subvention n° 773782 Ce document a été produit dans le cadre de la convention de subvention n° 773782 pour la Commission européenne. Il ne reflète pas nécessairement le point de vue de l'Union européenne et n'anticipe en aucune manière sur la politique future de la Commission dans ce domaine. /844/CE)

Country
France
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Keywords

[SDE]Environmental Sciences, [SDE.ES]Environmental Sciences/Environment and Society

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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