Dataset Information

Climate change and coastal resiliency of Suva, Fiji: a holistic approach for measuring climate risk using the climate and ocean risk vulnerability index (CORVI).

ABSTRACT: Coastal cities are under severe threat from the impacts of climate change, such as sea-level rise, extreme weather events, coastal inundation, and ecosystem degradation. It is well known that the ocean, and in particular coastal environments, have been changing at an unprecedented rate, which poses increasing risks to people in small island developing states, such as Fiji. The Greater Suva Urban Area, the capital and largest metropolitan area of Fiji, is expected to be largely impacted by climate-related risks to its socio-economic, cultural, and political positions. In the face of these threats, creating a resilient city that can withstand and adapt to the impacts of climate change and promote sustainable development should be guided by a holistic approach, encompassing stakeholders from the government, the private sector, civil society organizations, and international institutions. This study assesses the risk profile of Suva city using an innovative risk information tool, the climate and ocean risk vulnerability index (CORVI), which applies structured expert judgment to quantify climate-related risks in data-sparse environments. Through comparative quantification of diverse risk factors and narrative analysis, this study identifies three priority areas for Suva's future climate-resilient actions: development of climate risk-informed urban planning, harmonized urban development and natural restoration, and enhancing the climate resilience to the tourism sector.

Supplementary information

The online version contains supplementary material available at 10.1007/s11027-022-10043-4.

SUBMITTER: Shiiba N

PROVIDER: S-EPMC9838293 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Climate change and coastal resiliency of Suva, Fiji: a holistic approach for measuring climate risk using the climate and ocean risk vulnerability index (CORVI).

Shiiba Nagisa N Singh Priyatma P Charan Dhrishna D Raj Kushaal K Stuart Jack J Pratap Arpana A Maekawa Miko M

Mitigation and adaptation strategies for global change 20230110 2

Coastal cities are under severe threat from the impacts of climate change, such as sea-level rise, extreme weather events, coastal inundation, and ecosystem degradation. It is well known that the ocean, and in particular coastal environments, have been changing at an unprecedented rate, which poses increasing risks to people in small island developing states, such as Fiji. The Greater Suva Urban Area, the capital and largest metropolitan area of Fiji, is expected to be largely impacted by climat ...[more]

PMID: 36685809

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Project description:The study examines the potential influence of sub-regional variations in climate, and specifically heavy rain events, in determining relative vulnerabilities of locations in twelve Caribbean countries. An aggregate vulnerability index, referred to as the Caribbean Vulnerability Score (CVS), is created using historical demographic and socioeconomic data and climate data representing extreme rain events. Four scenarios are explored. Firstly, comparative vulnerabilities are determined when heavy rainfall is incorporated in CVS versus when it is excluded. The impact of climate change is also investigated using future climate data derived from statistical downscaling but holding demographic and socioeconomic sub-indices constant. The analysis is repeated with projections of future demographic structure from the Shared Socioeconomic Pathway data (SSP3), future climate projections and constant socioeconomic. Finally, the sensitivity of the results is examined with respect to applying different weights i.e. versus using equal weights for the climate and non-climatic components of CVS as is done for the first three scenarios. Results suggest that the inclusion of historical susceptibility to rainfall extremes influences relative vulnerabilities within the Caribbean when compared to the rankings of vulnerability derived using only socioeconomic and demographic inputs. In some cases significant increases in relative rankings are noted. Projected changes in the intensity of rain events across the Caribbean region in the 2030s and 2050s, do not significantly alter the top and lowest ranked vulnerable locations when demographic and socioeconomic indices are held constant. Changes may however occur in the order of the top ranked locations dependent on scenario and time slice. In general, future shifts in relative vulnerabilities were found to be dependent on (i) changes in both future climate and demographic scenarios, (ii) the time horizons being considered, and (iii) the weighting assigned to climate in the future.

Project description:BackgroundClimate variability influences the population dynamics of the Aedes aegypti mosquito that transmits the viruses that cause dengue, chikungunya and Zika. In recent years these diseases have grown considerably. Dengue is now the fastest-growing mosquito-transmitted disease worldwide, putting 40 per cent of the global population at risk. With no effective antiviral treatments or vaccines widely available, controlling mosquito population remains one of the most effective ways to prevent epidemics. This paper analyses the temporal and spatial dynamics of dengue in Mexico during 2000-2020 and that of chikungunya and Zika since they first appeared in the country in 2014 and 2015, respectively. This study aims to evaluate how seasonal climatological variability affects the potential risk of transmission of these mosquito-borne diseases. Mexico is among the world's most endemic countries in terms of dengue. Given its high incidence of other mosquito-borne diseases and its size and wide range of climates, it is a good case study.MethodsWe estimate the recently proposed mosquito-borne viral suitability index P, which measures the transmission potential of mosquito-borne pathogens. This index mathematically models how humidity, temperature and precipitation affect the number of new infections generated by a single infected adult female mosquito in a host population. We estimate this suitability index across all Mexico, at small-area level, on a daily basis during 2000-2020.ResultsWe find that the index P predicted risk transmission is strongly correlated with the areas and seasons with a high incidence of dengue within the country. This correlation is also high enough for chikungunya and Zika in Mexico. We also show the index P is sensitive to seasonal climatological variability, including extreme weather shocks.ConclusionsThe paper shows the dynamics of dengue, chikungunya and Zika in Mexico are strongly associated with seasonal climatological variability and the index P. This potential risk of transmission index, therefore, is a valuable tool for surveillance for mosquito-borne diseases, particularly in settings with varied climates and limited entomological capacity.

Dataset Information

Climate change and coastal resiliency of Suva, Fiji: a holistic approach for measuring climate risk using the climate and ocean risk vulnerability index (CORVI).

Supplementary information

Publications

Climate change and coastal resiliency of Suva, Fiji: a holistic approach for measuring climate risk using the climate and ocean risk vulnerability index (CORVI).

Similar Datasets

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