Ecological restoration (ER hereafter) is situated within a complex socio‐political landscape, characterized by competing interests that can hinder effective decision‐making and implementation of ER initiatives. Despite its importance, these social factors influencing ER decision‐making processes have not been comprehensively examined or interconnected in a systemic manner. This research aims to identify and systematically analyse the social barriers that obstruct ER decision‐making processes in the case of the Valencian Autonomous Region, Spain. Employing a qualitative methodological approach, this study utilized causal maps and network analysis to create a systemic representation of social barriers impacting ER, as identified by the key actors involved in the decision‐making process. The findings establish a relational model of social barriers that influence ER decision‐making. Central nodes of the process, as revealed by this network analysis, include the lack of private sector interest in ER initiatives, the excessive electoral motivation of political decisions and the inefficient civil service structure. This research contributes to a better understanding of the socio‐political dimensions of ER and provides valuable insights for overcoming barriers in the decision‐making process.

Environmental and social impact assessment (ESIA) can be an extremely useful tool for identifying and evaluating the repercussions of a wide range of initiatives. Typically when the project and its impacts are highly complex, an ESIA can detect a large number of issues that need to be prioritized so that they can be effectively and efficiently addressed. This article presents a mixed-methodology proposal for impact prioritization in ESIA, divided into four phases: (1) creation of the stakeholders’ platform; (2) identification and assessment of impacts; (3) impact categorization; and (4) impact assessment and prioritization using multi-criteria decision analysis (MCDA). This procedure was applied as an ex-post evaluation of a golf-based tourism project in the southwest of the Iberian Peninsula (Huelva, Spain), but can also potentially be used to conduct ex-ante assessments. The main contribution of the study is in the design and testing of a parsimonious procedure, which condenses a large amount of qualitative information into relatively simple operations using MCDA. The process is grounded in the constructivist social impact assessment (SIA) paradigm through stakeholder evaluation of impacts and criteria.

The mainstream approach of social vulnerability to flood risk faces some challenges regarding its ability to address the complexity of its causal processes. The objective of this study was to analyse the causal processes of social vulnerability to flood impacts from a relational perspective. To this end, a social network analysis was performed that identified the conditions and causes of social vulnerability and systematically articulated the relationships between them. This analysis was tested on the specific case of flood risk on the coast of the province of Alicante (SE Spain). To ascertain the conditions and causes of social vulnerability to flood risk, a multidisciplinary group of local experts was consulted, and the resulting data processed in a relational way using Atlas.ti and Gephi softwares. The result was a social vulnerability network comprising 84 nodes and 189 edges distributed into four dimensions: the adaptive capacity of tourists, socio-economic structure, land use planning and risk management. The information was ranked for betweenness centrality, revealing the components with highest causal power of social vulnerability to social impacts in flooding events: low flood risk awareness, economic growth based on real estate boom, property speculation and lack of political interest in flood risk management. This proposal places emphasis on the driving forces of social vulnerability and not exclusively on the specific adaptive conditions of the population, which allows a strategic identification and management of generative forces that ultimately induce the social impacts of floods.

Early warning systems are an essential tool for managing flood emergencies. Alert and warning applications and mobile-phone messaging services have become increasingly widespread among major international emergency agencies as means of communicating risks to the population, and their effectiveness in reducing human and material damages during flood events is significant. Despite their crucial importance, one of the main challenges in the field of emergency communication is the lack of protocols for systematic and standardized production of warning messages. While emergency agencies produce messages on a diversity of topic areas, there are no protocols for structuring their content according to communication functions, exhaustive identification of the relevant areas of action, or classification of content according to different topics. With a view to this opportunity for improvement, the aim of this article is to propose a method for creating a catalog of warning messages enabling their systematic composition and organization. To exemplify the successive stages in the development of such a catalog, we present here the resources and methodological process followed by the authors of this article when commissioned with this task by the emergency services of the Valencian Autonomous Region (south-east Spain) for flood-risk communication. The warning message catalog was pilot tested with experts and user focus groups. Developing warning message catalogs offers a vital resource that can enhance the outreach and operability of warning systems in the current context of increased flood risk due to climate change.

Análisis de mapas causales de impactos del turismo residencial