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首页> 外文期刊>PLoS One >Coastal proximity of populations in 22 Pacific Island Countries and Territories
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Coastal proximity of populations in 22 Pacific Island Countries and Territories

机译:太平洋岛屿和地区22个沿海居住

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The coastal zones of Small Island States are hotspots of human habitation and economic endeavour. In the Pacific region, as elsewhere, there are large gaps in understandings of the exposure and vulnerability of people in coastal zones. The 22 Pacific Countries and Territories (PICTs) are poorly represented in global analyses of vulnerability to seaward risks. We combine several data sources to estimate populations to zones 1, 5 and 10 km from the coastline in each of the PICTs. Regional patterns in the proximity of Pacific people to the coast are dominated by Papua New Guinea. Overall, ca. half the population of the Pacific resides within 10 km of the coast but this jumps to 97% when Papua New Guinea is excluded. A quarter of Pacific people live within 1 km of the coast, but without PNG this increases to slightly more than half. Excluding PNG, 90% of Pacific Islanders live within 5 km of the coast. All of the population in the coral atoll nations of Tokelau and Tuvalu live within a km of the ocean. Results using two global datasets, the SEDAC-CIESIN Gridded Population of the World v4 (GPWv4) and the Oak Ridge National Laboratory Landscan differed: Landscan under-dispersed population, overestimating numbers in urban centres and underestimating population in rural areas and GPWv4 over-dispersed the population. In addition to errors introduced by the allocation models of the two methods, errors were introduced as artefacts of allocating households to 1 km x 1 km grid cell data (30 arc–seconds) to polygons. The limited utility of LandScan and GPWv4 in advancing this analysis may be overcome with more spatially resolved census data and the inclusion of elevation above sea level as an important dimension of vulnerability.
机译:小岛屿国家的沿海地区是人类居住和经济努力的热点。在太平洋地区,在其他地方,在沿海地区的人们的曝光和脆弱性方面存在巨大差距。 22个太平洋国家和地区(Picts)在全球对海上风险的脆弱性分析中差不多。我们将若干数据源组合以估算群体到距离Coastline中的1,5到10公里的群体。太平洋人民靠近海岸的区域模式由巴布亚新几内亚主导。总体而言,加利福尼亚州太平洋人口的一半居住在海岸10公里内,但当巴布亚新几内亚被排除在外,这跳跃到97%。四分之一的太平洋人民居住在海岸1公里内,但没有PNG这增加到略高于一半。不包括PNG,90%的太平洋岛民距离海岸5公里不到5公里。托克劳和图瓦卢的珊瑚礁国家的所有人口都住在海洋的千里。结果使用两个全球数据集,世界v4(GPWV4)的Sedac-ciesin网格人口和橡树岭国家实验室景观:陆地划分的人口,高估城市中心的数量,低估农村地区的人口和超越的GPWV4人口。除了由两种方法的分配模型引入的错误之外,将引入错误作为将户分配到1km X 1 Km网格单元数据(30弧秒)到多边形的人工制品。可以通过更多空间解决的人口普查数据以及将海平面上方作为脆弱性的重要层次克服了Landscan和GPWv4在推进此分析方面的有限效用。

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