Ontology type: schema:ScholarlyArticle Open Access: True
2016-02
AUTHORSN. W. Arnell, S. Brown, S. N. Gosling, P. Gottschalk, J. Hinkel, C. Huntingford, B. Lloyd-Hughes, J. A. Lowe, R. J. Nicholls, T. J. Osborn, T. M. Osborne, G. A. Rose, P. Smith, T. R. Wheeler, P. Zelazowski
ABSTRACTThe overall global-scale consequences of climate change are dependent on the distribution of impacts across regions, and there are multiple dimensions to these impacts. This paper presents a global assessment of the potential impacts of climate change across several sectors, using a harmonised set of impacts models forced by the same climate and socio-economic scenarios. Indicators of impact cover the water resources, river and coastal flooding, agriculture, natural environment and built environment sectors. Impacts are assessed under four SRES socio-economic and emissions scenarios, and the effects of uncertainty in the projected pattern of climate change are incorporated by constructing climate scenarios from 21 global climate models. There is considerable uncertainty in projected regional impacts across the climate model scenarios, and coherent assessments of impacts across sectors and regions therefore must be based on each model pattern separately; using ensemble means, for example, reduces variability between sectors and indicators. An example narrative assessment is presented in the paper. Under this narrative approximately 1 billion people would be exposed to increased water resources stress, around 450 million people exposed to increased river flooding, and 1.3 million extra people would be flooded in coastal floods each year. Crop productivity would fall in most regions, and residential energy demands would be reduced in most regions because reduced heating demands would offset higher cooling demands. Most of the global impacts on water stress and flooding would be in Asia, but the proportional impacts in the Middle East North Africa region would be larger. By 2050 there are emerging differences in impact between different emissions and socio-economic scenarios even though the changes in temperature and sea level are similar, and these differences are greater in 2080. However, for all the indicators, the range in projected impacts between different climate models is considerably greater than the range between emissions and socio-economic scenarios. More... »
PAGES457-474
http://scigraph.springernature.com/pub.10.1007/s10584-014-1281-2
DOIhttp://dx.doi.org/10.1007/s10584-014-1281-2
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1043324902
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0502",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Environmental Science and Management",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Environmental Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Reading",
"id": "https://www.grid.ac/institutes/grid.9435.b",
"name": [
"Walker Institute, University of Reading, Reading, UK"
],
"type": "Organization"
},
"familyName": "Arnell",
"givenName": "N. W.",
"id": "sg:person.0743535320.29",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743535320.29"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Southampton",
"id": "https://www.grid.ac/institutes/grid.5491.9",
"name": [
"University of Southampton and Tyndall Centre for Climate Change Research, Southampton, UK"
],
"type": "Organization"
},
"familyName": "Brown",
"givenName": "S.",
"id": "sg:person.0762726503.41",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762726503.41"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Nottingham",
"id": "https://www.grid.ac/institutes/grid.4563.4",
"name": [
"University of Nottingham, Nottingham, UK"
],
"type": "Organization"
},
"familyName": "Gosling",
"givenName": "S. N.",
"id": "sg:person.01257312051.24",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257312051.24"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Potsdam Institute for Climate Impact Research",
"id": "https://www.grid.ac/institutes/grid.4556.2",
"name": [
"PIK Potsdam, Potsdam, Germany"
],
"type": "Organization"
},
"familyName": "Gottschalk",
"givenName": "P.",
"id": "sg:person.011263600271.21",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011263600271.21"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Global Climate Forum",
"id": "https://www.grid.ac/institutes/grid.424922.b",
"name": [
"PIK Potsdam, Potsdam, Germany",
"Global Climate Forum, Berlin, Germany"
],
"type": "Organization"
},
"familyName": "Hinkel",
"givenName": "J.",
"id": "sg:person.016162623273.57",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016162623273.57"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Centre for Ecology and Hydrology",
"id": "https://www.grid.ac/institutes/grid.494924.6",
"name": [
"Centre for Ecology and Hydrology, Wallingford, UK"
],
"type": "Organization"
},
"familyName": "Huntingford",
"givenName": "C.",
"id": "sg:person.01265557306.26",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265557306.26"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Reading",
"id": "https://www.grid.ac/institutes/grid.9435.b",
"name": [
"Walker Institute, University of Reading, Reading, UK"
],
"type": "Organization"
},
"familyName": "Lloyd-Hughes",
"givenName": "B.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Met Office",
"id": "https://www.grid.ac/institutes/grid.17100.37",
"name": [
"Met Office Hadley Centre, Exeter, UK"
],
"type": "Organization"
},
"familyName": "Lowe",
"givenName": "J. A.",
"id": "sg:person.011066117233.90",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011066117233.90"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Southampton",
"id": "https://www.grid.ac/institutes/grid.5491.9",
"name": [
"University of Southampton and Tyndall Centre for Climate Change Research, Southampton, UK"
],
"type": "Organization"
},
"familyName": "Nicholls",
"givenName": "R. J.",
"id": "sg:person.01114771330.10",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114771330.10"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of East Anglia",
"id": "https://www.grid.ac/institutes/grid.8273.e",
"name": [
"Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK"
],
"type": "Organization"
},
"familyName": "Osborn",
"givenName": "T. J.",
"id": "sg:person.07437575341.51",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07437575341.51"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Reading",
"id": "https://www.grid.ac/institutes/grid.9435.b",
"name": [
"Walker Institute, University of Reading, Reading, UK"
],
"type": "Organization"
},
"familyName": "Osborne",
"givenName": "T. M.",
"id": "sg:person.016373431173.66",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016373431173.66"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Reading",
"id": "https://www.grid.ac/institutes/grid.9435.b",
"name": [
"Walker Institute, University of Reading, Reading, UK"
],
"type": "Organization"
},
"familyName": "Rose",
"givenName": "G. A.",
"id": "sg:person.014070263363.28",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014070263363.28"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Aberdeen",
"id": "https://www.grid.ac/institutes/grid.7107.1",
"name": [
"University of Aberdeen, Aberdeen, UK"
],
"type": "Organization"
},
"familyName": "Smith",
"givenName": "P.",
"id": "sg:person.01317775541.82",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317775541.82"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Reading",
"id": "https://www.grid.ac/institutes/grid.9435.b",
"name": [
"Walker Institute, University of Reading, Reading, UK"
],
"type": "Organization"
},
"familyName": "Wheeler",
"givenName": "T. R.",
"id": "sg:person.07421752623.21",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07421752623.21"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Oxford",
"id": "https://www.grid.ac/institutes/grid.4991.5",
"name": [
"Environmental Change Institute, University of Oxford, Oxford, UK"
],
"type": "Organization"
},
"familyName": "Zelazowski",
"givenName": "P.",
"id": "sg:person.015764545623.89",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015764545623.89"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s10584-013-0853-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001335082",
"https://doi.org/10.1007/s10584-013-0853-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-013-0853-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001335082",
"https://doi.org/10.1007/s10584-013-0853-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nclimate1716",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002144786",
"https://doi.org/10.1038/nclimate1716"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-013-0925-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007803036",
"https://doi.org/10.1007/s10584-013-0925-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.enpol.2008.09.051",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009520846"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-013-1034-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009542838",
"https://doi.org/10.1007/s10584-013-1034-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-013-1034-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009542838",
"https://doi.org/10.1007/s10584-013-1034-7"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.1312330110",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009879152"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/bams-88-9-1383",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010559256"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.agrformet.2012.07.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014277838"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nclimate1793",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015666115",
"https://doi.org/10.1038/nclimate1793"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/esd-4-129-2013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015925646"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rsta.2006.1796",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017438675"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-013-1032-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023842732",
"https://doi.org/10.1007/s10584-013-1032-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-006-9172-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026244696",
"https://doi.org/10.1007/s10584-006-9172-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-009-9663-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028986318",
"https://doi.org/10.1007/s10584-009-9663-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-009-9663-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028986318",
"https://doi.org/10.1007/s10584-009-9663-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-009-9663-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028986318",
"https://doi.org/10.1007/s10584-009-9663-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1046/j.1466-822x.2002.00294.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029926135"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-015-1509-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036098000",
"https://doi.org/10.1007/s10584-015-1509-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-015-1509-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036098000",
"https://doi.org/10.1007/s10584-015-1509-9"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2007gb002952",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037338284"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-014-1084-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037733400",
"https://doi.org/10.1007/s10584-014-1084-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-014-1084-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037733400",
"https://doi.org/10.1007/s10584-014-1084-5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/joc.3711",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038108572"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.gloenvcha.2010.11.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040018244"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.1222471110",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046278728"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/bg-9-3151-2012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048043461"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/gmd-3-679-2010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1072670003"
],
"type": "CreativeWork"
}
],
"datePublished": "2016-02",
"datePublishedReg": "2016-02-01",
"description": "The overall global-scale consequences of climate change are dependent on the distribution of impacts across regions, and there are multiple dimensions to these impacts. This paper presents a global assessment of the potential impacts of climate change across several sectors, using a harmonised set of impacts models forced by the same climate and socio-economic scenarios. Indicators of impact cover the water resources, river and coastal flooding, agriculture, natural environment and built environment sectors. Impacts are assessed under four SRES socio-economic and emissions scenarios, and the effects of uncertainty in the projected pattern of climate change are incorporated by constructing climate scenarios from 21 global climate models. There is considerable uncertainty in projected regional impacts across the climate model scenarios, and coherent assessments of impacts across sectors and regions therefore must be based on each model pattern separately; using ensemble means, for example, reduces variability between sectors and indicators. An example narrative assessment is presented in the paper. Under this narrative approximately 1 billion people would be exposed to increased water resources stress, around 450 million people exposed to increased river flooding, and 1.3 million extra people would be flooded in coastal floods each year. Crop productivity would fall in most regions, and residential energy demands would be reduced in most regions because reduced heating demands would offset higher cooling demands. Most of the global impacts on water stress and flooding would be in Asia, but the proportional impacts in the Middle East North Africa region would be larger. By 2050 there are emerging differences in impact between different emissions and socio-economic scenarios even though the changes in temperature and sea level are similar, and these differences are greater in 2080. However, for all the indicators, the range in projected impacts between different climate models is considerably greater than the range between emissions and socio-economic scenarios.",
"genre": "research_article",
"id": "sg:pub.10.1007/s10584-014-1281-2",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.3864480",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.2775829",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.2759969",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.2764884",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1028211",
"issn": [
"0165-0009",
"1573-1480"
],
"name": "Climatic Change",
"type": "Periodical"
},
{
"issueNumber": "3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "134"
}
],
"name": "The impacts of climate change across the globe: A multi-sectoral assessment",
"pagination": "457-474",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"ce5fb85c658936433e125b46176cf1345f2707181bd3f02198e7eb7a23460c9b"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10584-014-1281-2"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1043324902"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10584-014-1281-2",
"https://app.dimensions.ai/details/publication/pub.1043324902"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:09",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000367_0000000367/records_88239_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/s10584-014-1281-2"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10584-014-1281-2'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10584-014-1281-2'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10584-014-1281-2'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10584-014-1281-2'
This table displays all metadata directly associated to this object as RDF triples.
273 TRIPLES
21 PREDICATES
50 URIs
19 LITERALS
7 BLANK NODES