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Aline Chiabai      
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Aline Chiabai published an article in January 2019.
Top co-authors See all
Anil Markandya

172 shared publications

International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria

Matteo Manera

155 shared publications

University of Milan-Bicocca; Milan Italy

Sonia Quiroga

35 shared publications

Department of Economics, Universidad de Alcalá (UAH), Plaza de la Victoria 2, 28802 Alcalá de Henares, Spain

Marc B. Neumann

33 shared publications

Basque Centre for Climate Change, BC3, 48940 Leioa, Spain; Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain

Paulo A.L.D. Nunes

27 shared publications

The World Bank

65
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Distribution of Articles published per year 
(2005 - 2019)
Total number of journals
published in
 
20
 
Publications See all
Article 0 Reads 0 Citations Insights on Urban and Periurban Adaptation Strategies Based on Stakeholders’ Perceptions on Hard and Soft Responses to C... Pablo Martinez-Juarez, Aline Chiabai, Cristina Suárez, Sonia... Published: 26 January 2019
Sustainability, doi: 10.3390/su11030647
DOI See at publisher website ABS Show/hide abstract
Adapting to expected impacts of climate change is a task shared by multiple institutions and individuals, but much of this work falls over local and regional authorities, which has made them experts over the issue. At the same time, adaptation to climate change has been a research interest in different academic fields; while private companies provide research and development efforts on the issue. Views from perspectives may contain common ground and discrepancies, but benefits from the discussion may differ among these three sectors. This study shows the application of collaborative approaches to analyze impacts and adaptation measures at a local level. A stakeholder workshop was held in the city of Bilbao to discuss impacts of climate change and adaptation in the local context of the Basque Country. The contributions were proposed on three axes: impacts from climate change, good practices proposed or already in action, and costs and benefits derived from those strategies. Participants were asked to rank a series of measures and practices extracted from their previous inputs. These measures were analyzed after applying bootstrapping techniques, according to the perceived costs and benefits assigned to each of the grouped measures and practices. Participants estimated that groups containing green adaptation measures and those that had potentially positive impacts over climate change mitigation were the most efficient measures, as reduced costs combined with high benefits could lead to win–win adaptation strategies, while grey infrastructures were seen as providing high benefits at high costs.
Article 0 Reads 0 Citations Stochastic diffusion models to describe the evolution of annual heatwave statistics: A three-factor model with risk calc... Luis Maria Abadie, Aline Chiabai, Marc B. Neumann Published: 01 January 2019
Science of The Total Environment, doi: 10.1016/j.scitotenv.2018.07.158
DOI See at publisher website ABS Show/hide abstract
In view of risk assessments this paper proposes a stochastic diffusion model to characterise statistics of extreme events when climate- or environmental variables surpass critical thresholds. The proposed three-factor model captures trend and volatility of such statistics and could prove valuable for climate and environmental impact analysis in many systems such as human health, agriculture or ecology. The model supports decisions in view of lowering risks to acceptable levels. We illustrate the development of the model for heatwave impacts on human health in the context of climate change. We propose a generic model composed of three random processes characterising annual statistics of heatwaves: a Poisson process characterising the number of heatwaves, a Gamma process characterising mean duration and a truncated Gaussian process capturing mean excess temperature of heatwave days. Additionally, potential correlations between the three processes are taken into account. The model is calibrated with data obtained from a regional climate model for two cities in Spain. The suitability of the model for probabilistic analysis is tested with Monte Carlo simulations. We assess the time-dependent probability distributions of heatwave-related mortality and demonstrate how to obtain relevant risk metrics such as the 95th percentile and the average of the 5% of worst cases (ES (95%)).
Article 0 Reads 0 Citations Stochastic diffusion models to describe the evolution of annual heatwave statistics: A three-factor model with risk calc... Luis Maria Abadie, Aline Chiabai, Marc B Neumann Published: 27 July 2018
The Science of the total environment,
PubMed View at PubMed
Article 0 Reads 0 Citations Transparency and Reproducibility in Participatory Systems Modelling: the Case of Fuzzy Cognitive Mapping Marta Olazabal, Marc B. Neumann, Sébastien Foudi, Aline Chia... Published: 17 July 2018
Systems Research and Behavioral Science, doi: 10.1002/sres.2519
DOI See at publisher website ABS Show/hide abstract
By aggregating semi‐quantitative mind maps from multiple agents, fuzzy cognitive mapping (FCM) allows developing an integrated, cross‐sectoral understanding of complex systems. However, and especially for FCM based on individual interviews, the map‐building process presents potential pitfalls. These are mainly related to the different understandings of the interviewees about the FCM semantics as well as the biases of the analyst during the elicitation and treatment of data. This paper introduces a set of good practice measures to increase transparency and reproducibility of map‐building processes in order to improve credibility of results from FCM applications. The case study used to illustrate the proposed good practices assesses heatwave impacts and adaptation options in an urban environment. Agents from different urban sectors were interviewed to obtain individual cognitive maps. Using this set of data, we suggest good practices to collect, digitalize, interpret, pre‐process and aggregate the individual maps in a traceable and coherent way. © 2018 The Authors Systems Research and Behavioral Science published by International Federation for Systems Research and John Wiley & Sons Ltd
Article 0 Reads 5 Citations Emergence of new knowledge for climate change adaptation Marta Olazabal, Aline Chiabai, Sébastien Foudi, Marc B. Neum... Published: 01 May 2018
Environmental Science & Policy, doi: 10.1016/j.envsci.2018.01.017
DOI See at publisher website ABS Show/hide abstract
Decision-making for climate change adaptation requires an integrated and cross-sectoral approach to adequately capture the complexity of interconnected systems. More meaningful decisions can be taken in an arena where different agents provide knowledge of specific domains. This paper uses a semi-quantitative method based on cognitive mapping to demonstrate how new knowledge emerges when combining knowledge from diverse agents. For the case of heatwaves in the city of Madrid (Spain) we elicit knowledge about climatic impacts across urban sectors and potential adaptation options. Knowledge is elicited in individual interviews and then aggregated using fuzzy cognitive maps. We observe that the individual maps vary considerably in size and structure and find evidence of diverse and even contradictory perceptions. There is no “super-stakeholder”, who theoretically could provide full knowledge about mechanisms operating in this urban system: the maximum percentage of the final aggregated map explained by a single individual is 26% in terms of concepts and 13% in terms of connections. We illustrate how the emergence of new knowledge can be sustained by combining scientific and policy expertise. Our approach supports knowledge co-production and allows to account for the interconnectedness of urban sectors under climatic impacts in view of formulating more robust adaptation strategies.
Article 0 Reads 2 Citations The nexus between climate change, ecosystem services and human health: Towards a conceptual framework. Aline Chiabai, Sonia Quiroga, Pablo Martínez-Juárez, Sahran ... Published: 24 April 2018
Science of The Total Environment, doi: 10.1016/j.scitotenv.2018.03.323
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This paper addresses the impact that changes in natural ecosystems can have on health and wellbeing focusing on the potential co-benefits that green spaces could provide when introduced as climate change adaptation measures. Ignoring such benefits could lead to sub-optimal planning and decision-making. A conceptual framework, building on the ecosystem-enriched Driver, Pressure, State, Exposure, Effect, Action model (eDPSEEA), is presented to aid in clarifying the relational structure between green spaces and human health, taking climate change as the key driver. The study has the double intention of (i) summarising the literature with a special emphasis on the ecosystem and health perspectives, as well as the main theories behind these impacts, and (ii) modelling these findings into a framework that allows for multidisciplinary approaches to the underlying relations between human health and green spaces. The paper shows that while the literature based on the ecosystem perspective presents a well-documented association between climate, health and green spaces, the literature using a health-based perspective presents mixed evidence in some cases. The role of contextual factors and the exposure mechanism are rarely addressed. The proposed framework could serve as a multidisciplinary knowledge platform for multi-perspecitve analysis and discussion among experts and stakeholders, as well as to support the operationalization of quantitative assessment and modelling exercises.
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