Overview of mitigation scenarios for global climate stabilization based on new IPCC emission scenarios (SRES) View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-06

AUTHORS

Tsuneyuki Morita, Nebos̆ja Nakićenović, John Robinson

ABSTRACT

This paper provides an overview of new emission mitigation scenarios that lead to stabilization of atmospheric CO2 concentrations, presented in this Special Issue. All of these scenarios use as their baselines the new IPCC scenarios published in the IPCC Special Report on Emission Scenarios (SRES), which quantify a wide range of future worlds. This means the new mitigation and stabilization scenarios are based on a range of future development paths that have fundamental implications for future emissions reduction strategies. Here, we refer to these new scenarios as “Post-SRES” mitigation scenarios. In addition to providing an overview of these new scenarios, this paper also assesses the implications that emerge from a range of alternative development baselines for technology and policy measures for reducing future emissions and stabilizing atmospheric CO2 concentrations. Nine modeling teams have participated in this joint effort to quantify a wide range of mitigation and stabilization scenarios. The nine modeling approaches involve different methodologies, data, regional aggregations and other salient characteristics. This pluralism of approaches and alternative baselines serves to cover some of the uncertainties embedded across a range of different mitigation and stabilization strategies. At the same time, several common trends and characteristics can be observed across the set of Post-SRES scenarios. First, the different baseline “worlds” described in the SRES scenarios require different technology/policy measures to stabilize atmospheric CO2 concentrations at the same level. Second, no one single measure will be sufficient for the timely development, adoption and diffusion of mitigation options to achieve stabilization. Third, the level of technology/policy measures in the beginning of the 21st century that would be needed to achieve stabilization would be significantly affected by the choice of development path over next one hundred years. And finally, several “robust policy options” across the different worlds are identified for achieving stabilizations. More... »

PAGES

65-88

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf03354031

DOI

http://dx.doi.org/10.1007/bf03354031

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047395364


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/2008/05", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/14", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Economics", 
        "type": "DefinedTerm"
      }, 
      {
        "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/2008/1402", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Economics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Institute for Environmental Studies of Japan, 16-2 Onogawa, 305-0053, Tsukuba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.140139.e", 
          "name": [
            "National Institute for Environmental Studies of Japan, 16-2 Onogawa, 305-0053, Tsukuba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morita", 
        "givenName": "Tsuneyuki", 
        "id": "sg:person.012520142215.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012520142215.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International Institute for Applied Systems Analysis, A-2361, Laxenburg, Austria", 
          "id": "http://www.grid.ac/institutes/grid.75276.31", 
          "name": [
            "International Institute for Applied Systems Analysis, A-2361, Laxenburg, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Naki\u0107enovi\u0107", 
        "givenName": "Nebos\u0306ja", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sustainable Development Research Institute, University of British Columbia, B5 2202 Main Mall, V6T 1Z4, Vancouver, Canada", 
          "id": "http://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Sustainable Development Research Institute, University of British Columbia, B5 2202 Main Mall, V6T 1Z4, Vancouver, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Robinson", 
        "givenName": "John", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf03354039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037361865", 
          "https://doi.org/10.1007/bf03354039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03354037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010646625", 
          "https://doi.org/10.1007/bf03354037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03354034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053605160", 
          "https://doi.org/10.1007/bf03354034"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03354033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045442316", 
          "https://doi.org/10.1007/bf03354033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03354036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044487470", 
          "https://doi.org/10.1007/bf03354036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03354041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011890005", 
          "https://doi.org/10.1007/bf03354041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03354038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028624393", 
          "https://doi.org/10.1007/bf03354038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03354035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004816918", 
          "https://doi.org/10.1007/bf03354035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03354040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053495091", 
          "https://doi.org/10.1007/bf03354040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03354032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052549080", 
          "https://doi.org/10.1007/bf03354032"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2000-06", 
    "datePublishedReg": "2000-06-01", 
    "description": "This paper provides an overview of new emission mitigation scenarios that lead to stabilization of atmospheric CO2 concentrations, presented in this Special Issue. All of these scenarios use as their baselines the new IPCC scenarios published in the IPCC Special Report on Emission Scenarios (SRES), which quantify a wide range of future worlds. This means the new mitigation and stabilization scenarios are based on a range of future development paths that have fundamental implications for future emissions reduction strategies. Here, we refer to these new scenarios as \u201cPost-SRES\u201d mitigation scenarios. In addition to providing an overview of these new scenarios, this paper also assesses the implications that emerge from a range of alternative development baselines for technology and policy measures for reducing future emissions and stabilizing atmospheric CO2 concentrations. Nine modeling teams have participated in this joint effort to quantify a wide range of mitigation and stabilization scenarios. The nine modeling approaches involve different methodologies, data, regional aggregations and other salient characteristics. This pluralism of approaches and alternative baselines serves to cover some of the uncertainties embedded across a range of different mitigation and stabilization strategies. At the same time, several common trends and characteristics can be observed across the set of Post-SRES scenarios. First, the different baseline \u201cworlds\u201d described in the SRES scenarios require different technology/policy measures to stabilize atmospheric CO2 concentrations at the same level. Second, no one single measure will be sufficient for the timely development, adoption and diffusion of mitigation options to achieve stabilization. Third, the level of technology/policy measures in the beginning of the 21st century that would be needed to achieve stabilization would be significantly affected by the choice of development path over next one hundred years. And finally, several \u201crobust policy options\u201d across the different worlds are identified for achieving stabilizations.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/bf03354031", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136769", 
        "issn": [
          "1432-847X", 
          "1867-383X"
        ], 
        "name": "Environmental Economics and Policy Studies", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "keywords": [
      "atmospheric CO2 concentration", 
      "mitigation scenarios", 
      "CO2 concentration", 
      "emission scenarios", 
      "stabilization scenarios", 
      "future emission reduction strategies", 
      "IPCC emission scenarios", 
      "global climate stabilization", 
      "emission mitigation scenarios", 
      "robust policy options", 
      "IPCC Special Report", 
      "IPCC scenarios", 
      "SRES scenarios", 
      "mitigation options", 
      "emission reduction strategies", 
      "climate stabilization", 
      "policy measures", 
      "new mitigation", 
      "future emissions", 
      "Special Report", 
      "alternative baselines", 
      "mitigation", 
      "policy options", 
      "pluralism of approaches", 
      "future world", 
      "future development paths", 
      "regional aggregation", 
      "modeling approach", 
      "scenarios", 
      "development path", 
      "wide range", 
      "different mitigation", 
      "common trend", 
      "modeling teams", 
      "single measure", 
      "reduction strategies", 
      "fundamental implications", 
      "concentration", 
      "joint effort", 
      "new scenario", 
      "different methodologies", 
      "world", 
      "special issue", 
      "range", 
      "different baselines", 
      "measures", 
      "stabilization strategy", 
      "emission", 
      "stabilization", 
      "implications", 
      "efforts", 
      "trends", 
      "strategies", 
      "century", 
      "options", 
      "timely development", 
      "uncertainty", 
      "overview", 
      "levels", 
      "characteristics", 
      "same time", 
      "approach", 
      "same level", 
      "adoption", 
      "years", 
      "aggregation", 
      "salient characteristics", 
      "data", 
      "methodology", 
      "issues", 
      "development", 
      "addition", 
      "beginning", 
      "baseline", 
      "time", 
      "set", 
      "different worlds", 
      "choice", 
      "paper", 
      "path", 
      "technology", 
      "diffusion", 
      "report", 
      "team", 
      "pluralism"
    ], 
    "name": "Overview of mitigation scenarios for global climate stabilization based on new IPCC emission scenarios (SRES)", 
    "pagination": "65-88", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1047395364"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf03354031"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf03354031", 
      "https://app.dimensions.ai/details/publication/pub.1047395364"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T16:54", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_324.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/bf03354031"
  }
]
 

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.10.1007/bf03354031'

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/bf03354031'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf03354031'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf03354031'


 

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

208 TRIPLES      21 PREDICATES      122 URIs      102 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf03354031 schema:about anzsrc-for:05
2 anzsrc-for:0502
3 anzsrc-for:14
4 anzsrc-for:1402
5 schema:author N9d81480e592f443ab91132e0a6b7f3cb
6 schema:citation sg:pub.10.1007/bf03354032
7 sg:pub.10.1007/bf03354033
8 sg:pub.10.1007/bf03354034
9 sg:pub.10.1007/bf03354035
10 sg:pub.10.1007/bf03354036
11 sg:pub.10.1007/bf03354037
12 sg:pub.10.1007/bf03354038
13 sg:pub.10.1007/bf03354039
14 sg:pub.10.1007/bf03354040
15 sg:pub.10.1007/bf03354041
16 schema:datePublished 2000-06
17 schema:datePublishedReg 2000-06-01
18 schema:description This paper provides an overview of new emission mitigation scenarios that lead to stabilization of atmospheric CO2 concentrations, presented in this Special Issue. All of these scenarios use as their baselines the new IPCC scenarios published in the IPCC Special Report on Emission Scenarios (SRES), which quantify a wide range of future worlds. This means the new mitigation and stabilization scenarios are based on a range of future development paths that have fundamental implications for future emissions reduction strategies. Here, we refer to these new scenarios as “Post-SRES” mitigation scenarios. In addition to providing an overview of these new scenarios, this paper also assesses the implications that emerge from a range of alternative development baselines for technology and policy measures for reducing future emissions and stabilizing atmospheric CO2 concentrations. Nine modeling teams have participated in this joint effort to quantify a wide range of mitigation and stabilization scenarios. The nine modeling approaches involve different methodologies, data, regional aggregations and other salient characteristics. This pluralism of approaches and alternative baselines serves to cover some of the uncertainties embedded across a range of different mitigation and stabilization strategies. At the same time, several common trends and characteristics can be observed across the set of Post-SRES scenarios. First, the different baseline “worlds” described in the SRES scenarios require different technology/policy measures to stabilize atmospheric CO2 concentrations at the same level. Second, no one single measure will be sufficient for the timely development, adoption and diffusion of mitigation options to achieve stabilization. Third, the level of technology/policy measures in the beginning of the 21st century that would be needed to achieve stabilization would be significantly affected by the choice of development path over next one hundred years. And finally, several “robust policy options” across the different worlds are identified for achieving stabilizations.
19 schema:genre article
20 schema:isAccessibleForFree false
21 schema:isPartOf Nba9b5704332d42d2a16c4c9668ef38b8
22 Nea795a7b21c94a48818da0718bf5ca1b
23 sg:journal.1136769
24 schema:keywords CO2 concentration
25 IPCC Special Report
26 IPCC emission scenarios
27 IPCC scenarios
28 SRES scenarios
29 Special Report
30 addition
31 adoption
32 aggregation
33 alternative baselines
34 approach
35 atmospheric CO2 concentration
36 baseline
37 beginning
38 century
39 characteristics
40 choice
41 climate stabilization
42 common trend
43 concentration
44 data
45 development
46 development path
47 different baselines
48 different methodologies
49 different mitigation
50 different worlds
51 diffusion
52 efforts
53 emission
54 emission mitigation scenarios
55 emission reduction strategies
56 emission scenarios
57 fundamental implications
58 future development paths
59 future emission reduction strategies
60 future emissions
61 future world
62 global climate stabilization
63 implications
64 issues
65 joint effort
66 levels
67 measures
68 methodology
69 mitigation
70 mitigation options
71 mitigation scenarios
72 modeling approach
73 modeling teams
74 new mitigation
75 new scenario
76 options
77 overview
78 paper
79 path
80 pluralism
81 pluralism of approaches
82 policy measures
83 policy options
84 range
85 reduction strategies
86 regional aggregation
87 report
88 robust policy options
89 salient characteristics
90 same level
91 same time
92 scenarios
93 set
94 single measure
95 special issue
96 stabilization
97 stabilization scenarios
98 stabilization strategy
99 strategies
100 team
101 technology
102 time
103 timely development
104 trends
105 uncertainty
106 wide range
107 world
108 years
109 schema:name Overview of mitigation scenarios for global climate stabilization based on new IPCC emission scenarios (SRES)
110 schema:pagination 65-88
111 schema:productId N24c1e1e82a7d48cd9be3b734d78645bd
112 N383d040345dd4e09ab4e260ab4e196c5
113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047395364
114 https://doi.org/10.1007/bf03354031
115 schema:sdDatePublished 2022-08-04T16:54
116 schema:sdLicense https://scigraph.springernature.com/explorer/license/
117 schema:sdPublisher N976e7a9b27a142d8a2d6222d4dedc9d3
118 schema:url https://doi.org/10.1007/bf03354031
119 sgo:license sg:explorer/license/
120 sgo:sdDataset articles
121 rdf:type schema:ScholarlyArticle
122 N0567ea91525343c8a49f7b83f6d76ca2 rdf:first N5a4268e109dc4338be57ddb3406a4905
123 rdf:rest Nd8c476917c6149ad8c1e01b0b1649013
124 N24c1e1e82a7d48cd9be3b734d78645bd schema:name doi
125 schema:value 10.1007/bf03354031
126 rdf:type schema:PropertyValue
127 N383d040345dd4e09ab4e260ab4e196c5 schema:name dimensions_id
128 schema:value pub.1047395364
129 rdf:type schema:PropertyValue
130 N5a4268e109dc4338be57ddb3406a4905 schema:affiliation grid-institutes:grid.75276.31
131 schema:familyName Nakićenović
132 schema:givenName Nebos̆ja
133 rdf:type schema:Person
134 N976e7a9b27a142d8a2d6222d4dedc9d3 schema:name Springer Nature - SN SciGraph project
135 rdf:type schema:Organization
136 N9d81480e592f443ab91132e0a6b7f3cb rdf:first sg:person.012520142215.45
137 rdf:rest N0567ea91525343c8a49f7b83f6d76ca2
138 Nba9b5704332d42d2a16c4c9668ef38b8 schema:issueNumber 2
139 rdf:type schema:PublicationIssue
140 Nc9bfc83dc97241ebab5e113d294f1982 schema:affiliation grid-institutes:grid.17091.3e
141 schema:familyName Robinson
142 schema:givenName John
143 rdf:type schema:Person
144 Nd8c476917c6149ad8c1e01b0b1649013 rdf:first Nc9bfc83dc97241ebab5e113d294f1982
145 rdf:rest rdf:nil
146 Nea795a7b21c94a48818da0718bf5ca1b schema:volumeNumber 3
147 rdf:type schema:PublicationVolume
148 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
149 schema:name Environmental Sciences
150 rdf:type schema:DefinedTerm
151 anzsrc-for:0502 schema:inDefinedTermSet anzsrc-for:
152 schema:name Environmental Science and Management
153 rdf:type schema:DefinedTerm
154 anzsrc-for:14 schema:inDefinedTermSet anzsrc-for:
155 schema:name Economics
156 rdf:type schema:DefinedTerm
157 anzsrc-for:1402 schema:inDefinedTermSet anzsrc-for:
158 schema:name Applied Economics
159 rdf:type schema:DefinedTerm
160 sg:journal.1136769 schema:issn 1432-847X
161 1867-383X
162 schema:name Environmental Economics and Policy Studies
163 schema:publisher Springer Nature
164 rdf:type schema:Periodical
165 sg:person.012520142215.45 schema:affiliation grid-institutes:grid.140139.e
166 schema:familyName Morita
167 schema:givenName Tsuneyuki
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012520142215.45
169 rdf:type schema:Person
170 sg:pub.10.1007/bf03354032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052549080
171 https://doi.org/10.1007/bf03354032
172 rdf:type schema:CreativeWork
173 sg:pub.10.1007/bf03354033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045442316
174 https://doi.org/10.1007/bf03354033
175 rdf:type schema:CreativeWork
176 sg:pub.10.1007/bf03354034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053605160
177 https://doi.org/10.1007/bf03354034
178 rdf:type schema:CreativeWork
179 sg:pub.10.1007/bf03354035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004816918
180 https://doi.org/10.1007/bf03354035
181 rdf:type schema:CreativeWork
182 sg:pub.10.1007/bf03354036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044487470
183 https://doi.org/10.1007/bf03354036
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/bf03354037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010646625
186 https://doi.org/10.1007/bf03354037
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/bf03354038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028624393
189 https://doi.org/10.1007/bf03354038
190 rdf:type schema:CreativeWork
191 sg:pub.10.1007/bf03354039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037361865
192 https://doi.org/10.1007/bf03354039
193 rdf:type schema:CreativeWork
194 sg:pub.10.1007/bf03354040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053495091
195 https://doi.org/10.1007/bf03354040
196 rdf:type schema:CreativeWork
197 sg:pub.10.1007/bf03354041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011890005
198 https://doi.org/10.1007/bf03354041
199 rdf:type schema:CreativeWork
200 grid-institutes:grid.140139.e schema:alternateName National Institute for Environmental Studies of Japan, 16-2 Onogawa, 305-0053, Tsukuba, Japan
201 schema:name National Institute for Environmental Studies of Japan, 16-2 Onogawa, 305-0053, Tsukuba, Japan
202 rdf:type schema:Organization
203 grid-institutes:grid.17091.3e schema:alternateName Sustainable Development Research Institute, University of British Columbia, B5 2202 Main Mall, V6T 1Z4, Vancouver, Canada
204 schema:name Sustainable Development Research Institute, University of British Columbia, B5 2202 Main Mall, V6T 1Z4, Vancouver, Canada
205 rdf:type schema:Organization
206 grid-institutes:grid.75276.31 schema:alternateName International Institute for Applied Systems Analysis, A-2361, Laxenburg, Austria
207 schema:name International Institute for Applied Systems Analysis, A-2361, Laxenburg, Austria
208 rdf:type schema:Organization
 




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


...