A typology of household-level adaptation to coastal flooding and its spatio-temporal patterns View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Jana Koerth, Athanasios T Vafeidis, Silvina Carretero, Horst Sterr, Jochen Hinkel

ABSTRACT

The predicted sea-level rise and changes in storm surge regimes are expected to lead to an increasing risk of flooding in coastal regions. Accommodation can be an alternative to protection in many areas, with household-level adaptation potentially constituting an important element of such a strategy, as it can significantly reduce costs. To date, a systematic typology of household-level adaptation to coastal flooding does not exist. In order to bridge this gap, we conducted a series of quantitative surveys in different coastal areas in Denmark, Germany and Argentina. We applied a cluster analysis in order to categorise the adaptive behaviour of coastal households. Coastal households were found to cluster in four groups that we term: the comprehensives, the theoreticians, the minimalists and the structurals. With the exception of households focusing on the implementation of high-effort structural measures, our results show the affiliation to these groups to follow a specific temporal sequence. At the same time, large differences in category affiliation exist between the study areas. Risk communication tools can utilise our typology to selectively target specific types of households or to ensure that the information needs of all groups are addressed. More... »

PAGES

466

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/2193-1801-3-466

DOI

http://dx.doi.org/10.1186/2193-1801-3-466

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1009273331

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25191638


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kiel University", 
          "id": "https://www.grid.ac/institutes/grid.9764.c", 
          "name": [
            "Coastal Risks and Sea-Level Rise Research Group, Institute of Geography, Christian-Albrechts-University Kiel, Ludewig-Meyn-Str.14, 24098, Kiel, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koerth", 
        "givenName": "Jana", 
        "id": "sg:person.0577217144.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577217144.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kiel University", 
          "id": "https://www.grid.ac/institutes/grid.9764.c", 
          "name": [
            "Coastal Risks and Sea-Level Rise Research Group, Institute of Geography, Christian-Albrechts-University Kiel, Ludewig-Meyn-Str.14, 24098, Kiel, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vafeidis", 
        "givenName": "Athanasios T", 
        "id": "sg:person.01351676272.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01351676272.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of La Plata", 
          "id": "https://www.grid.ac/institutes/grid.9499.d", 
          "name": [
            "C\u00e1tedra de Hidrolog\u00eda General, Facultad de Ciencias Naturales y Museo, Universidad Nacional de La Plata, Calle 64 n\u00b0 3, 1900 Bs As, La Plata, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carretero", 
        "givenName": "Silvina", 
        "id": "sg:person.01057234511.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057234511.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kiel University", 
          "id": "https://www.grid.ac/institutes/grid.9764.c", 
          "name": [
            "Coastal Risks and Sea-Level Rise Research Group, Institute of Geography, Christian-Albrechts-University Kiel, Ludewig-Meyn-Str.14, 24098, Kiel, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sterr", 
        "givenName": "Horst", 
        "id": "sg:person.012313120307.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012313120307.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Global Climate Forum", 
          "id": "https://www.grid.ac/institutes/grid.424922.b", 
          "name": [
            "Global Climate Forum e.V.(GCF), Neue Promenade 6, 10178, Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hinkel", 
        "givenName": "Jochen", 
        "id": "sg:person.016162623273.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016162623273.57"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1753-318x.2011.01104.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005685512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate1751", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007177922", 
          "https://doi.org/10.1038/nclimate1751"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2011.09.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009634481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.habitatint.2010.12.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011475760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1185782", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013374950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10113-010-0119-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016644540", 
          "https://doi.org/10.1007/s10113-010-0119-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0956247807076960", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019212969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0956247807076960", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019212969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-011-0257-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019519588", 
          "https://doi.org/10.1007/s10584-011-0257-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2112/04-0205.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019661531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11027-011-9326-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020173046", 
          "https://doi.org/10.1007/s11027-011-9326-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1005507810350", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021441220", 
          "https://doi.org/10.1023/a:1005507810350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2112/07a-0011.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027576394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2010.03.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031354122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/08920750390168309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032858227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10113-012-0399-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034548082", 
          "https://doi.org/10.1007/s10113-012-0399-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/wea.543", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036111981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/wea.543", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036111981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13669877.2010.503935", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038569666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-012-0655-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038633404", 
          "https://doi.org/10.1007/s10584-012-0655-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1623/hysj.52.5.1016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042531725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1539-6924.2011.01616.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047968539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate1749", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049513277", 
          "https://doi.org/10.1038/nclimate1749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-010-9827-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050432102", 
          "https://doi.org/10.1007/s10584-010-9827-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-010-9827-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050432102", 
          "https://doi.org/10.1007/s10584-010-9827-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00254-006-0424-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050860382", 
          "https://doi.org/10.1007/s00254-006-0424-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00254-006-0424-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050860382", 
          "https://doi.org/10.1007/s00254-006-0424-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1222469111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052855088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1068/a43238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058155140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1068/a43238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058155140"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "The predicted sea-level rise and changes in storm surge regimes are expected to lead to an increasing risk of flooding in coastal regions. Accommodation can be an alternative to protection in many areas, with household-level adaptation potentially constituting an important element of such a strategy, as it can significantly reduce costs. To date, a systematic typology of household-level adaptation to coastal flooding does not exist. In order to bridge this gap, we conducted a series of quantitative surveys in different coastal areas in Denmark, Germany and Argentina. We applied a cluster analysis in order to categorise the adaptive behaviour of coastal households. Coastal households were found to cluster in four groups that we term: the comprehensives, the theoreticians, the minimalists and the structurals. With the exception of households focusing on the implementation of high-effort structural measures, our results show the affiliation to these groups to follow a specific temporal sequence. At the same time, large differences in category affiliation exist between the study areas. Risk communication tools can utilise our typology to selectively target specific types of households or to ensure that the information needs of all groups are addressed. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/2193-1801-3-466", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1047790", 
        "issn": [
          "2193-1801"
        ], 
        "name": "SpringerPlus", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "name": "A typology of household-level adaptation to coastal flooding and its spatio-temporal patterns", 
    "pagination": "466", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2c2cae468ed5c6f0963243ca1830c9c832b7de419b91fe8c9e8b24e4baf9eeed"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25191638"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101597967"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/2193-1801-3-466"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1009273331"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/2193-1801-3-466", 
      "https://app.dimensions.ai/details/publication/pub.1009273331"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:56", 
    "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/v90/0000000001_0000000264/records_8681_00000510.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F2193-1801-3-466"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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.10.1186/2193-1801-3-466'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/2193-1801-3-466'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/2193-1801-3-466'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/2193-1801-3-466'


 

This table displays all metadata directly associated to this object as RDF triples.

187 TRIPLES      21 PREDICATES      54 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/2193-1801-3-466 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N51960970d6f349deabf4cb78b3297f9e
4 schema:citation sg:pub.10.1007/s00254-006-0424-9
5 sg:pub.10.1007/s10113-010-0119-3
6 sg:pub.10.1007/s10113-012-0399-x
7 sg:pub.10.1007/s10584-010-9827-4
8 sg:pub.10.1007/s10584-011-0257-8
9 sg:pub.10.1007/s10584-012-0655-6
10 sg:pub.10.1007/s11027-011-9326-6
11 sg:pub.10.1023/a:1005507810350
12 sg:pub.10.1038/nclimate1749
13 sg:pub.10.1038/nclimate1751
14 https://doi.org/10.1002/wea.543
15 https://doi.org/10.1016/j.gloenvcha.2010.03.005
16 https://doi.org/10.1016/j.gloenvcha.2011.09.010
17 https://doi.org/10.1016/j.habitatint.2010.12.003
18 https://doi.org/10.1068/a43238
19 https://doi.org/10.1073/pnas.1222469111
20 https://doi.org/10.1080/08920750390168309
21 https://doi.org/10.1080/13669877.2010.503935
22 https://doi.org/10.1111/j.1539-6924.2011.01616.x
23 https://doi.org/10.1111/j.1753-318x.2011.01104.x
24 https://doi.org/10.1126/science.1185782
25 https://doi.org/10.1177/0956247807076960
26 https://doi.org/10.1623/hysj.52.5.1016
27 https://doi.org/10.2112/04-0205.1
28 https://doi.org/10.2112/07a-0011.1
29 schema:datePublished 2014-12
30 schema:datePublishedReg 2014-12-01
31 schema:description The predicted sea-level rise and changes in storm surge regimes are expected to lead to an increasing risk of flooding in coastal regions. Accommodation can be an alternative to protection in many areas, with household-level adaptation potentially constituting an important element of such a strategy, as it can significantly reduce costs. To date, a systematic typology of household-level adaptation to coastal flooding does not exist. In order to bridge this gap, we conducted a series of quantitative surveys in different coastal areas in Denmark, Germany and Argentina. We applied a cluster analysis in order to categorise the adaptive behaviour of coastal households. Coastal households were found to cluster in four groups that we term: the comprehensives, the theoreticians, the minimalists and the structurals. With the exception of households focusing on the implementation of high-effort structural measures, our results show the affiliation to these groups to follow a specific temporal sequence. At the same time, large differences in category affiliation exist between the study areas. Risk communication tools can utilise our typology to selectively target specific types of households or to ensure that the information needs of all groups are addressed.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree true
35 schema:isPartOf N240e5bbb0a374260b8b0a61b53608932
36 N9e537ea5e6574dca95ea4bf1a823d34b
37 sg:journal.1047790
38 schema:name A typology of household-level adaptation to coastal flooding and its spatio-temporal patterns
39 schema:pagination 466
40 schema:productId N218bac035e784361bd5d0e495c944a96
41 N3b2fc7b828f646099cb104359d3810c2
42 N3c3d6d48fcf6443c96242f2dd17ece44
43 N9245fda1265a4b27b5dcf5d12979b21f
44 Ne755a926f5394466b4b6433bebe95bf3
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009273331
46 https://doi.org/10.1186/2193-1801-3-466
47 schema:sdDatePublished 2019-04-10T19:56
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher Ne777a926ec96431498973183270a64c4
50 schema:url http://link.springer.com/10.1186%2F2193-1801-3-466
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N218bac035e784361bd5d0e495c944a96 schema:name nlm_unique_id
55 schema:value 101597967
56 rdf:type schema:PropertyValue
57 N240e5bbb0a374260b8b0a61b53608932 schema:issueNumber 1
58 rdf:type schema:PublicationIssue
59 N3b2fc7b828f646099cb104359d3810c2 schema:name doi
60 schema:value 10.1186/2193-1801-3-466
61 rdf:type schema:PropertyValue
62 N3c3d6d48fcf6443c96242f2dd17ece44 schema:name pubmed_id
63 schema:value 25191638
64 rdf:type schema:PropertyValue
65 N51960970d6f349deabf4cb78b3297f9e rdf:first sg:person.0577217144.92
66 rdf:rest Nb23d186846d7402e9d8e4ebd8768a785
67 N7101feae634443c1972d91160428c090 rdf:first sg:person.016162623273.57
68 rdf:rest rdf:nil
69 N8a0c306953724f99bfadc86e146c816c rdf:first sg:person.01057234511.05
70 rdf:rest Nef8ba88d84bc42d98b140635cd1efca6
71 N9245fda1265a4b27b5dcf5d12979b21f schema:name dimensions_id
72 schema:value pub.1009273331
73 rdf:type schema:PropertyValue
74 N9e537ea5e6574dca95ea4bf1a823d34b schema:volumeNumber 3
75 rdf:type schema:PublicationVolume
76 Nb23d186846d7402e9d8e4ebd8768a785 rdf:first sg:person.01351676272.34
77 rdf:rest N8a0c306953724f99bfadc86e146c816c
78 Ne755a926f5394466b4b6433bebe95bf3 schema:name readcube_id
79 schema:value 2c2cae468ed5c6f0963243ca1830c9c832b7de419b91fe8c9e8b24e4baf9eeed
80 rdf:type schema:PropertyValue
81 Ne777a926ec96431498973183270a64c4 schema:name Springer Nature - SN SciGraph project
82 rdf:type schema:Organization
83 Nef8ba88d84bc42d98b140635cd1efca6 rdf:first sg:person.012313120307.36
84 rdf:rest N7101feae634443c1972d91160428c090
85 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
86 schema:name Medical and Health Sciences
87 rdf:type schema:DefinedTerm
88 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
89 schema:name Public Health and Health Services
90 rdf:type schema:DefinedTerm
91 sg:journal.1047790 schema:issn 2193-1801
92 schema:name SpringerPlus
93 rdf:type schema:Periodical
94 sg:person.01057234511.05 schema:affiliation https://www.grid.ac/institutes/grid.9499.d
95 schema:familyName Carretero
96 schema:givenName Silvina
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057234511.05
98 rdf:type schema:Person
99 sg:person.012313120307.36 schema:affiliation https://www.grid.ac/institutes/grid.9764.c
100 schema:familyName Sterr
101 schema:givenName Horst
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012313120307.36
103 rdf:type schema:Person
104 sg:person.01351676272.34 schema:affiliation https://www.grid.ac/institutes/grid.9764.c
105 schema:familyName Vafeidis
106 schema:givenName Athanasios T
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01351676272.34
108 rdf:type schema:Person
109 sg:person.016162623273.57 schema:affiliation https://www.grid.ac/institutes/grid.424922.b
110 schema:familyName Hinkel
111 schema:givenName Jochen
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016162623273.57
113 rdf:type schema:Person
114 sg:person.0577217144.92 schema:affiliation https://www.grid.ac/institutes/grid.9764.c
115 schema:familyName Koerth
116 schema:givenName Jana
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577217144.92
118 rdf:type schema:Person
119 sg:pub.10.1007/s00254-006-0424-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050860382
120 https://doi.org/10.1007/s00254-006-0424-9
121 rdf:type schema:CreativeWork
122 sg:pub.10.1007/s10113-010-0119-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016644540
123 https://doi.org/10.1007/s10113-010-0119-3
124 rdf:type schema:CreativeWork
125 sg:pub.10.1007/s10113-012-0399-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034548082
126 https://doi.org/10.1007/s10113-012-0399-x
127 rdf:type schema:CreativeWork
128 sg:pub.10.1007/s10584-010-9827-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050432102
129 https://doi.org/10.1007/s10584-010-9827-4
130 rdf:type schema:CreativeWork
131 sg:pub.10.1007/s10584-011-0257-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019519588
132 https://doi.org/10.1007/s10584-011-0257-8
133 rdf:type schema:CreativeWork
134 sg:pub.10.1007/s10584-012-0655-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038633404
135 https://doi.org/10.1007/s10584-012-0655-6
136 rdf:type schema:CreativeWork
137 sg:pub.10.1007/s11027-011-9326-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020173046
138 https://doi.org/10.1007/s11027-011-9326-6
139 rdf:type schema:CreativeWork
140 sg:pub.10.1023/a:1005507810350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021441220
141 https://doi.org/10.1023/a:1005507810350
142 rdf:type schema:CreativeWork
143 sg:pub.10.1038/nclimate1749 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049513277
144 https://doi.org/10.1038/nclimate1749
145 rdf:type schema:CreativeWork
146 sg:pub.10.1038/nclimate1751 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007177922
147 https://doi.org/10.1038/nclimate1751
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1002/wea.543 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036111981
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.gloenvcha.2010.03.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031354122
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/j.gloenvcha.2011.09.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009634481
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.habitatint.2010.12.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011475760
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1068/a43238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058155140
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1073/pnas.1222469111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052855088
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1080/08920750390168309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032858227
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1080/13669877.2010.503935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038569666
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1111/j.1539-6924.2011.01616.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047968539
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1111/j.1753-318x.2011.01104.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005685512
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1126/science.1185782 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013374950
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1177/0956247807076960 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019212969
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1623/hysj.52.5.1016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042531725
174 rdf:type schema:CreativeWork
175 https://doi.org/10.2112/04-0205.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019661531
176 rdf:type schema:CreativeWork
177 https://doi.org/10.2112/07a-0011.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027576394
178 rdf:type schema:CreativeWork
179 https://www.grid.ac/institutes/grid.424922.b schema:alternateName Global Climate Forum
180 schema:name Global Climate Forum e.V.(GCF), Neue Promenade 6, 10178, Berlin, Germany
181 rdf:type schema:Organization
182 https://www.grid.ac/institutes/grid.9499.d schema:alternateName National University of La Plata
183 schema:name Cátedra de Hidrología General, Facultad de Ciencias Naturales y Museo, Universidad Nacional de La Plata, Calle 64 n° 3, 1900 Bs As, La Plata, Argentina
184 rdf:type schema:Organization
185 https://www.grid.ac/institutes/grid.9764.c schema:alternateName Kiel University
186 schema:name Coastal Risks and Sea-Level Rise Research Group, Institute of Geography, Christian-Albrechts-University Kiel, Ludewig-Meyn-Str.14, 24098, Kiel, Germany
187 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...