Applying IPCC 2014 framework for hazard-specific vulnerability assessment under climate change

Sharma, Jagmohan; Ravindranath, N. H.

doi:10.1088/2515-7620/ab24ed

Cited by 128 publications

(57 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Location-specific because a particular community may have environmental and socioeconomic characteristics (including cultural and political) that are not shared by other communities in the region; thus an adaptation measure may not be generalizable across geographical regions and societal space 10,22 . Hazardor problem-specific means that an adaptation measure should be explicit and specific concerning who is going to adapt to which climate-related hazards and impacts 49,50 . In the context of this study, it is the city dwellers themselves who need to adapt to the impact of heat so that their vulnerability, and the risks that heat poses to their health and well-being, will be lessened.…”

Section: Discussionmentioning

confidence: 99%

“…In AR5, exposure refers to the presence of specific exposed elements or elements at risk (e.g., people, infrastructure, and ecosystems) 30 , whereas exposure in the TAR/AR4 is a hazard-centered concept, as also reflected in various empirical studies 45,65 . Consequently, under the TAR/AR4 framing, where exposure is a component of vulnerability, vulnerability assessments suffer from uncertainties that are derived not only from the various social-ecological input data but also from the estimations or projections of climate-related hazards 50 . However, with the redefinition of exposure and its separation from vulnerability in the AR5's risk framework (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…However, with the redefinition of exposure and its separation from vulnerability in the AR5's risk framework (Fig. 2c), vulnerability assessments no longer suffer from the same uncertainties, thereby narrowing the scope for maladaptation 50 . Some adaptation-related strategies such as green spaces 60,61 under the concept of ecosystem-based adaptation 66 also function as mitigation strategies by, for example, serving as carbon sinks.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators

et al. 2020

View full text Add to dashboard Cite

More than half of the world's population currently live in urban areas and are particularly at risk from the combined effects of the urban heat island phenomenon and heat increases due to climate change. Here, by using remotely sensed surface temperature data and socialecological indicators, focusing on the hot dry season, and applying the risk framework of the Intergovernmental Panel on Climate Change, we assessed the current heat health risk in 139 Philippine cities, which account for about 40% of the country's total population. The cities at high or very high risk are found in Metro Manila, where levels of heat hazard and exposure are high. The most vulnerable cities are, however, found mainly outside the national capital region, where sensitivity is higher and capacity to cope and adapt is lower. Cities with high levels of heat vulnerability and exposure must be prioritized for adaptation. Our results will contribute to risk profiling in the Philippines and to the understanding of city-level heat health risks in developing regions of the Asia-Pacific.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Based on the main aim of this study, it is suggested that the overall drought-related vulnerability can be determined as the function exposure, sensitivity, and adaptive capacity based on the IPCC (2007) conceptual framework. Although IPCC has changed its paradigm regarding vulnerability assessment by not taking into consideration exposure as an element of vulnerability (Sharma and Ravindranath 2019), the change of local climatic patterns has a crucial role in the agricultural sector; therefore, this component has also been included in the applied methodology.…”

Section: Methodology Of Vulnerability Calculationmentioning

confidence: 99%

Drought-related vulnerability and its policy implications in Hungary

Buzási

Pálvölgyi

Esses

2021

Mitig Adapt Strateg Glob Change

View full text Add to dashboard Cite

Drought phenomena have been frequent in Hungarian history. One of the most important sectors in Hungary is agriculture, so the agricultural drought is a particularly important area to be examined. The purpose of the study is to determine how vulnerable each county (NUTS-3 regions) is to the expected effects of drought. The study provides an assessment framework of drought-related vulnerabilities and the preparedness of drought policies at the NUTS-3 level in Hungary. The drought-related vulnerability of NUTS-3 regions was determined by selected exposure, sensitivity, and adaptive capacity indicators. The calculation of drought vulnerability is based on the IPCC 2007 methodology, while the input data were derived from the National Adaptation Geo-information System online data platform and Hungarian agro-statistical data sources. An assessment framework of drought-related policy performance of NUTS-3-level climate change strategies was developed. The evaluation methodology is based on a specific scorecard of evaluation criteria related to the performance of the county’s drought-related objectives and measures. According to the relationship between the county’s drought-related vulnerability and policy performance, the counties were classified into four types. The main results show that several counties fail the target by overestimating the role of drought prevention, with little vulnerability index. In contrast, many counties are not adequately prepared for the impacts of drought, despite their high vulnerability index.

show abstract

“…Approaching vulnerability as a function of sensitivity, exposure, and adaptive capacity can be rationalized as follows, 1) It incorporates an integrated approach which further enhances a holistic perspective. In the context of this study, the vulnerability index reflects the role of historical crop yields, historical precipitation, and socio-economic proxies of adaptive capacity [ 32 , 33 ]. 2) Secondly, the approach adopted also enhances the quantification of variables such as the adaptive capacity that is difficult to represent.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Vulnerability of maize, millet, and rice yields to growing season precipitation and socio-economic proxies in Cameroon

et al. 2021

View full text Add to dashboard Cite

In sub-Saharan Africa growing season precipitation is affected by climate change. Due to this, in Cameroon, it is uncertain how some crops are vulnerable to growing season precipitation. Here, an assessment of the vulnerability of maize, millet, and rice to growing season precipitation is carried out at a national scale and validated at four sub-national scales/sites. The data collected were historical yield, precipitation, and adaptive capacity data for the period 1961–2019 for the national scale analysis and 1991–2016 for the sub-national scale analysis. The crop yield data were collected for maize, millet, and rice from FAOSTAT and the global yield gap atlas to assess the sensitivity both nationally and sub-nationally. Historical data on mean crop growing season and mean annul precipitation were collected from a collaborative database of UNDP/Oxford University and the climate portal of the World Bank to assess the exposure both nationally and sub-nationally. To assess adaptive capacity, literacy, and poverty rate proxies for both the national and regional scales were collected from KNOEMA and the African Development Bank. These data were analyzed using a vulnerability index that is based on sensitivity, exposure, and adaptive capacity. The national scale results show that millet has the lowest vulnerability index while rice has the highest. An inverse relationship between vulnerability and adaptive capacity is observed. Rice has the lowest adaptive capacity and the highest vulnerability index. Sub-nationally, this work has shown that northern maize is the most vulnerable crop followed by western highland rice. This work underscores the fact that at different scales, crops are differentially vulnerable due to variations in precipitation, temperature, soils, access to farm inputs, exposure to crop pest and variations in literacy and poverty rates. Therefore, caution should be taken when transitioning from one scale to another to avoid generalization. Despite these differences, in the sub-national scale, western highland rice is observed as the second most vulnerable crop, an observation similar to the national scale observation.

show abstract

Applying IPCC 2014 framework for hazard-specific vulnerability assessment under climate change

Cited by 128 publications

References 16 publications

Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators

Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators

Drought-related vulnerability and its policy implications in Hungary

Vulnerability of maize, millet, and rice yields to growing season precipitation and socio-economic proxies in Cameroon

Contact Info

Product

Resources

About