2015
DOI: 10.1186/s40064-015-1536-z
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Assessing local vulnerability to climate change in Ecuador

Abstract: Vulnerability assessments have become necessary to increase the understanding of climate-sensitive systems and inform resource allocation in developing countries. Challenges arise when poor economic and social development combines with heterogeneous climatic conditions. Thus, finding and harmonizing good-quality data at local scale may be a significant hurdle for vulnerability research. In this paper we assess vulnerability to climate change at a local level in Ecuador. We take Ecuador as a case study as socio… Show more

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Cited by 15 publications
(8 citation statements)
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“…The first PCA component contributing to this vulnerability dimension is composed of indicators related to social security and citizen’s socio-economic opportunity that decrease vulnerability to natural hazards. People who have better jobs, better access to safe drinking water, better housing can recover earlier from cyclone impact than those that do not have such opportunities [ 66 , 67 , 68 ]. Higher education level increases the level of understanding to warning signals and the opportunity to get jobs that leads to lower vulnerability [ 53 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The first PCA component contributing to this vulnerability dimension is composed of indicators related to social security and citizen’s socio-economic opportunity that decrease vulnerability to natural hazards. People who have better jobs, better access to safe drinking water, better housing can recover earlier from cyclone impact than those that do not have such opportunities [ 66 , 67 , 68 ]. Higher education level increases the level of understanding to warning signals and the opportunity to get jobs that leads to lower vulnerability [ 53 ].…”
Section: Resultsmentioning
confidence: 99%
“…Those common variables are included in our first vulnerability dimension group. The role of variables such as the family size, the ratio of dependent people on the overall vulnerability index construction are justified by literature [ 10 , 56 , 68 ]. For all factors, the actual sign was not always obvious, as several parameters, including some with ambiguous relation with vulnerability, had significant loading.…”
Section: Discussionmentioning
confidence: 99%
“…In the case of the Andean region, some inner tropics studies also report a decrease of hail events during recent decades [57], while outer tropics studies indicate both increases and reductions in the number of hailstorm events without consistent trends, and also highlight the site-specific dependence (region, topography, altitude, latitude, longitude) of this type of climatic event [58][59][60][61]. Furthermore, although farmers' perceptions about increased incidence of heavy windstorms, droughts/dry periods, and heat waves/warm periods are clearly aligned with scientific observations and projections [17,20,22,54,[62][63][64], the perceptions of cold periods/frost increments differ with scientific observations and projections, which show a robust reduction [17,21,45,54].…”
Section: Exposurementioning
confidence: 99%
“…Iyengar and Sudarshan [21] developed a statistically sound and well-suited method to create a composite indicator from multivariate data in order to rank the economic performance of the districts in India. This method has been used by [4], [25], [26]. Let y ij , represent the normalised value of the j th indicator and the i th state (i = 1, 2, …, m; j = 1, 2, …, k), the indicator I i according to their respective factors, are then summed using ( 5), as in…”
Section: B Unequal Weightmentioning
confidence: 99%