AR5: Impacts, Adaptation, and Vulnerability (PART A) - Chapter 18

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18: Detection and Attribution of Observed Impacts

AR5: Impacts, Adaptation, and Vulnerability (PART A) - Chapter 18

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Chapter 18: Detection and Attribution of Observed Impacts

[...]

18.4.6. Livelihoods and Poverty

Owing to gender-specific roles within the household,communities, and wider sociopolitical and institutional networks, a gender bias has been found in observations of impacts of extreme weather events and climate variability (Carr, 2008;Arora-Jonsson, 2011; Nightingale, 2011;see also Box 13-1). 

Elaborated language

Chapter 18: Detection and Attribution of Observed Impacts

[...]

18.4.6. Livelihoods and Poverty

[...]

Climate-related impacts disproportionately affect poor populations, thus increasing social and economic inequalities, both in urban and rural areas, and in low-, middle-, and high-income countries (Sections 13.1.4, 13.2.1). Evidence for poor people in high-income nations being disproportionately affected by extreme weather events comes, for instance, from 2005 U.S. Hurricane Katrina (Elliott and Pais, 2006; Bullard and Wright, 2010; see also Section 13.2.1.5) or severe drought in Australia (Alston, 2011). Glacial lake outburst floods in the PeruvianAndes also affected different populations depending on their degree of exposure, level of vulnerability, race, ethnicity, and socioeconomic class (Carey, 2010; Carey et al., 2012b). Owing to gender-specific roles within the household,communities, and wider sociopolitical and institutional networks, a gender bias has been found in observations of impacts of extreme weather events and climate variability (Carr, 2008;Arora-Jonsson, 2011; Nightingale, 2011;see also Box 13-1). 

 

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