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Coastal proximity of populations in 22 Pacific Island Countries and Territories

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 repr...

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Autores principales: Andrew, Neil L., Bright, Phil, de la Rua, Luis, Teoh, Shwu Jiau, Vickers, Mathew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768456/
https://www.ncbi.nlm.nih.gov/pubmed/31568527
http://dx.doi.org/10.1371/journal.pone.0223249
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author Andrew, Neil L.
Bright, Phil
de la Rua, Luis
Teoh, Shwu Jiau
Vickers, Mathew
author_facet Andrew, Neil L.
Bright, Phil
de la Rua, Luis
Teoh, Shwu Jiau
Vickers, Mathew
author_sort Andrew, Neil L.
collection PubMed
description 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.
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spelling pubmed-67684562019-10-12 Coastal proximity of populations in 22 Pacific Island Countries and Territories Andrew, Neil L. Bright, Phil de la Rua, Luis Teoh, Shwu Jiau Vickers, Mathew PLoS One Research Article 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. Public Library of Science 2019-09-30 /pmc/articles/PMC6768456/ /pubmed/31568527 http://dx.doi.org/10.1371/journal.pone.0223249 Text en © 2019 Andrew et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Andrew, Neil L.
Bright, Phil
de la Rua, Luis
Teoh, Shwu Jiau
Vickers, Mathew
Coastal proximity of populations in 22 Pacific Island Countries and Territories
title Coastal proximity of populations in 22 Pacific Island Countries and Territories
title_full Coastal proximity of populations in 22 Pacific Island Countries and Territories
title_fullStr Coastal proximity of populations in 22 Pacific Island Countries and Territories
title_full_unstemmed Coastal proximity of populations in 22 Pacific Island Countries and Territories
title_short Coastal proximity of populations in 22 Pacific Island Countries and Territories
title_sort coastal proximity of populations in 22 pacific island countries and territories
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768456/
https://www.ncbi.nlm.nih.gov/pubmed/31568527
http://dx.doi.org/10.1371/journal.pone.0223249
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