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Mapping human vulnerability to climate change in the Brazilian Amazon: The construction of a municipal vulnerability index

机译:在巴西亚马逊地区绘制人类对气候变化的脆弱性地图:建立市政脆弱性指数

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摘要

Vulnerability, understood as the propensity to be adversely affected, has attained importance in the context of climate change by helping to understand what makes populations and territories predisposed to its impacts. Conditions of vulnerability may vary depending on the characteristics of each territory studied—social, environmental, infrastructural, public policies, among others. Thus, the present study aimed to evaluate what makes the municipalities of the state of Amazonas, Brazil, vulnerable to climate change in the context of the largest tropical forest in the world, and which regions of the State are the most susceptible. A Municipal Vulnerability Index was developed, which was used to associate current socio-environmental characteristics of municipalities with climate change scenarios in order to identify those that may be most affected by climate change. The results showed that poor adaptive capacity and poverty had the most influence on current vulnerability of the municipalities of Amazonas with the most vulnerable areas being the southern, northern, and eastern regions of the state. When current vulnerability was related to future climate change projections, the most vulnerable areas were the northern, northeastern, extreme southern, and southwestern regions. From a socio-environmental and climatic point of view, these regions should be a priority for public policy efforts to reduce their vulnerability and prepare them to cope with the adverse aspects of climate change.
机译:脆弱性被理解为容易受到不利影响的倾向,它通过帮助了解是什么使人口和领地容易受到其影响,而在气候变化的背景下变得越来越重要。脆弱性的条件可能会有所不同,具体取决于所研究的每个领域的特征(社会,环境,基础设施,公共政策等)。因此,本研究旨在评估在世界上最大的热带森林背景下,巴西亚马逊州的市政府容易受到气候变化的影响,以及该州的哪些地区最容易受到影响。制定了市政脆弱性指数,该指数用于将市政当局当前的社会环境特征与气候变化情景相关联,以识别可能受到气候变化影响最大的城市。结果表明,适应能力差和贫困对亚马逊河市的当前脆弱性影响最大,其中最脆弱的地区是该州的南部,北部和东部地区。当当前的脆弱性与未来的气候变化预测相关时,最脆弱的地区是北部,东北部,南部极端和西南部地区。从社会环境和气候的角度来看,这些区域应成为公共政策努力的优先事项,以减少其脆弱性并为应对气候变化的不利方面做好准备。

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