Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability
This study analyzed hierarchical change patterns of regional ecological vulnerability by coupling GIS data and fuzzy analytic hierarchy process. It identified the spatiotemporal features of eco-environment and major environmental problems in Weihe Plain, a typical urban agglomeration in China. Previ...
Ausführliche Beschreibung
Autor*in: |
Hou, Kang [verfasserIn] Tao, Wendong [verfasserIn] Wang, Liming [verfasserIn] Li, Xuxiang [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
Ecological vulnerability classification Ecological vulnerability index Fuzzy analytic hierarchy process |
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Übergeordnetes Werk: |
Enthalten in: Ecological indicators - Amsterdam [u.a.] : Elsevier Science, 2001, 114 |
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Übergeordnetes Werk: |
volume:114 |
DOI / URN: |
10.1016/j.ecolind.2020.106343 |
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Katalog-ID: |
ELV004004094 |
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520 | |a This study analyzed hierarchical change patterns of regional ecological vulnerability by coupling GIS data and fuzzy analytic hierarchy process. It identified the spatiotemporal features of eco-environment and major environmental problems in Weihe Plain, a typical urban agglomeration in China. Previous studies on regional ecological vulnerability have been focusing on evaluating ecological vulnerability status and developing assessment methods, while ignoring the mechanisms of vulnerability transformation from one to another level. This study further proposed a subjective evaluation model for ecological vulnerability classification and transformation analysis in a multi-index hierarchical evaluation system. The results indicated that ecological vulnerability index was higher in the urban areas than the surrounding counties from 2000 to 2012, which had a great relationship with the impacts of urbanization on ecological vulnerability. The light ecological vulnerability level was found to be relatively variable over the years and have the greatest impact on the change of regional ecological environment. Analysis with the transformation matrix model found that the degree of regional ecological environment stability was regulated by two mechanisms: 1) The proportion of the constant ecological vulnerability level is essential for maintaining the stability of ecological environment; and 2) the difference between the area percentages of decreased and increased vulnerability determines the trend of ecological vulnerability changes. As verified by applications to two nearby regions, this ecological vulnerability transformation model can be used to monitor the dynamics of ecological vulnerability and identify the leading ecological vulnerability level in other large geographical areas. | ||
650 | 4 | |a Ecological vulnerability classification | |
650 | 4 | |a Ecological vulnerability index | |
650 | 4 | |a Fuzzy analytic hierarchy process | |
650 | 4 | |a Spatial distribution | |
650 | 4 | |a Vulnerability level transformation | |
650 | 4 | |a Weihe Plain | |
700 | 1 | |a Tao, Wendong |e verfasserin |0 (orcid)0000-0003-3893-1313 |4 aut | |
700 | 1 | |a Wang, Liming |e verfasserin |4 aut | |
700 | 1 | |a Li, Xuxiang |e verfasserin |4 aut | |
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2020 |
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10.1016/j.ecolind.2020.106343 doi (DE-627)ELV004004094 (ELSEVIER)S1470-160X(20)30280-6 DE-627 ger DE-627 rda eng 570 630 DE-600 BIODIV DE-30 fid Hou, Kang verfasserin aut Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study analyzed hierarchical change patterns of regional ecological vulnerability by coupling GIS data and fuzzy analytic hierarchy process. It identified the spatiotemporal features of eco-environment and major environmental problems in Weihe Plain, a typical urban agglomeration in China. Previous studies on regional ecological vulnerability have been focusing on evaluating ecological vulnerability status and developing assessment methods, while ignoring the mechanisms of vulnerability transformation from one to another level. This study further proposed a subjective evaluation model for ecological vulnerability classification and transformation analysis in a multi-index hierarchical evaluation system. The results indicated that ecological vulnerability index was higher in the urban areas than the surrounding counties from 2000 to 2012, which had a great relationship with the impacts of urbanization on ecological vulnerability. The light ecological vulnerability level was found to be relatively variable over the years and have the greatest impact on the change of regional ecological environment. Analysis with the transformation matrix model found that the degree of regional ecological environment stability was regulated by two mechanisms: 1) The proportion of the constant ecological vulnerability level is essential for maintaining the stability of ecological environment; and 2) the difference between the area percentages of decreased and increased vulnerability determines the trend of ecological vulnerability changes. As verified by applications to two nearby regions, this ecological vulnerability transformation model can be used to monitor the dynamics of ecological vulnerability and identify the leading ecological vulnerability level in other large geographical areas. Ecological vulnerability classification Ecological vulnerability index Fuzzy analytic hierarchy process Spatial distribution Vulnerability level transformation Weihe Plain Tao, Wendong verfasserin (orcid)0000-0003-3893-1313 aut Wang, Liming verfasserin aut Li, Xuxiang verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 114 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:114 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 114 |
spelling |
10.1016/j.ecolind.2020.106343 doi (DE-627)ELV004004094 (ELSEVIER)S1470-160X(20)30280-6 DE-627 ger DE-627 rda eng 570 630 DE-600 BIODIV DE-30 fid Hou, Kang verfasserin aut Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study analyzed hierarchical change patterns of regional ecological vulnerability by coupling GIS data and fuzzy analytic hierarchy process. It identified the spatiotemporal features of eco-environment and major environmental problems in Weihe Plain, a typical urban agglomeration in China. Previous studies on regional ecological vulnerability have been focusing on evaluating ecological vulnerability status and developing assessment methods, while ignoring the mechanisms of vulnerability transformation from one to another level. This study further proposed a subjective evaluation model for ecological vulnerability classification and transformation analysis in a multi-index hierarchical evaluation system. The results indicated that ecological vulnerability index was higher in the urban areas than the surrounding counties from 2000 to 2012, which had a great relationship with the impacts of urbanization on ecological vulnerability. The light ecological vulnerability level was found to be relatively variable over the years and have the greatest impact on the change of regional ecological environment. Analysis with the transformation matrix model found that the degree of regional ecological environment stability was regulated by two mechanisms: 1) The proportion of the constant ecological vulnerability level is essential for maintaining the stability of ecological environment; and 2) the difference between the area percentages of decreased and increased vulnerability determines the trend of ecological vulnerability changes. As verified by applications to two nearby regions, this ecological vulnerability transformation model can be used to monitor the dynamics of ecological vulnerability and identify the leading ecological vulnerability level in other large geographical areas. Ecological vulnerability classification Ecological vulnerability index Fuzzy analytic hierarchy process Spatial distribution Vulnerability level transformation Weihe Plain Tao, Wendong verfasserin (orcid)0000-0003-3893-1313 aut Wang, Liming verfasserin aut Li, Xuxiang verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 114 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:114 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 114 |
allfields_unstemmed |
10.1016/j.ecolind.2020.106343 doi (DE-627)ELV004004094 (ELSEVIER)S1470-160X(20)30280-6 DE-627 ger DE-627 rda eng 570 630 DE-600 BIODIV DE-30 fid Hou, Kang verfasserin aut Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study analyzed hierarchical change patterns of regional ecological vulnerability by coupling GIS data and fuzzy analytic hierarchy process. It identified the spatiotemporal features of eco-environment and major environmental problems in Weihe Plain, a typical urban agglomeration in China. Previous studies on regional ecological vulnerability have been focusing on evaluating ecological vulnerability status and developing assessment methods, while ignoring the mechanisms of vulnerability transformation from one to another level. This study further proposed a subjective evaluation model for ecological vulnerability classification and transformation analysis in a multi-index hierarchical evaluation system. The results indicated that ecological vulnerability index was higher in the urban areas than the surrounding counties from 2000 to 2012, which had a great relationship with the impacts of urbanization on ecological vulnerability. The light ecological vulnerability level was found to be relatively variable over the years and have the greatest impact on the change of regional ecological environment. Analysis with the transformation matrix model found that the degree of regional ecological environment stability was regulated by two mechanisms: 1) The proportion of the constant ecological vulnerability level is essential for maintaining the stability of ecological environment; and 2) the difference between the area percentages of decreased and increased vulnerability determines the trend of ecological vulnerability changes. As verified by applications to two nearby regions, this ecological vulnerability transformation model can be used to monitor the dynamics of ecological vulnerability and identify the leading ecological vulnerability level in other large geographical areas. Ecological vulnerability classification Ecological vulnerability index Fuzzy analytic hierarchy process Spatial distribution Vulnerability level transformation Weihe Plain Tao, Wendong verfasserin (orcid)0000-0003-3893-1313 aut Wang, Liming verfasserin aut Li, Xuxiang verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 114 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:114 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 114 |
allfieldsGer |
10.1016/j.ecolind.2020.106343 doi (DE-627)ELV004004094 (ELSEVIER)S1470-160X(20)30280-6 DE-627 ger DE-627 rda eng 570 630 DE-600 BIODIV DE-30 fid Hou, Kang verfasserin aut Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study analyzed hierarchical change patterns of regional ecological vulnerability by coupling GIS data and fuzzy analytic hierarchy process. It identified the spatiotemporal features of eco-environment and major environmental problems in Weihe Plain, a typical urban agglomeration in China. Previous studies on regional ecological vulnerability have been focusing on evaluating ecological vulnerability status and developing assessment methods, while ignoring the mechanisms of vulnerability transformation from one to another level. This study further proposed a subjective evaluation model for ecological vulnerability classification and transformation analysis in a multi-index hierarchical evaluation system. The results indicated that ecological vulnerability index was higher in the urban areas than the surrounding counties from 2000 to 2012, which had a great relationship with the impacts of urbanization on ecological vulnerability. The light ecological vulnerability level was found to be relatively variable over the years and have the greatest impact on the change of regional ecological environment. Analysis with the transformation matrix model found that the degree of regional ecological environment stability was regulated by two mechanisms: 1) The proportion of the constant ecological vulnerability level is essential for maintaining the stability of ecological environment; and 2) the difference between the area percentages of decreased and increased vulnerability determines the trend of ecological vulnerability changes. As verified by applications to two nearby regions, this ecological vulnerability transformation model can be used to monitor the dynamics of ecological vulnerability and identify the leading ecological vulnerability level in other large geographical areas. Ecological vulnerability classification Ecological vulnerability index Fuzzy analytic hierarchy process Spatial distribution Vulnerability level transformation Weihe Plain Tao, Wendong verfasserin (orcid)0000-0003-3893-1313 aut Wang, Liming verfasserin aut Li, Xuxiang verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 114 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:114 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 114 |
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10.1016/j.ecolind.2020.106343 doi (DE-627)ELV004004094 (ELSEVIER)S1470-160X(20)30280-6 DE-627 ger DE-627 rda eng 570 630 DE-600 BIODIV DE-30 fid Hou, Kang verfasserin aut Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study analyzed hierarchical change patterns of regional ecological vulnerability by coupling GIS data and fuzzy analytic hierarchy process. It identified the spatiotemporal features of eco-environment and major environmental problems in Weihe Plain, a typical urban agglomeration in China. Previous studies on regional ecological vulnerability have been focusing on evaluating ecological vulnerability status and developing assessment methods, while ignoring the mechanisms of vulnerability transformation from one to another level. This study further proposed a subjective evaluation model for ecological vulnerability classification and transformation analysis in a multi-index hierarchical evaluation system. The results indicated that ecological vulnerability index was higher in the urban areas than the surrounding counties from 2000 to 2012, which had a great relationship with the impacts of urbanization on ecological vulnerability. The light ecological vulnerability level was found to be relatively variable over the years and have the greatest impact on the change of regional ecological environment. Analysis with the transformation matrix model found that the degree of regional ecological environment stability was regulated by two mechanisms: 1) The proportion of the constant ecological vulnerability level is essential for maintaining the stability of ecological environment; and 2) the difference between the area percentages of decreased and increased vulnerability determines the trend of ecological vulnerability changes. As verified by applications to two nearby regions, this ecological vulnerability transformation model can be used to monitor the dynamics of ecological vulnerability and identify the leading ecological vulnerability level in other large geographical areas. Ecological vulnerability classification Ecological vulnerability index Fuzzy analytic hierarchy process Spatial distribution Vulnerability level transformation Weihe Plain Tao, Wendong verfasserin (orcid)0000-0003-3893-1313 aut Wang, Liming verfasserin aut Li, Xuxiang verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 114 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:114 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 114 |
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Hou, Kang @@aut@@ Tao, Wendong @@aut@@ Wang, Liming @@aut@@ Li, Xuxiang @@aut@@ |
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570 630 DE-600 BIODIV DE-30 fid Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability Ecological vulnerability classification Ecological vulnerability index Fuzzy analytic hierarchy process Spatial distribution Vulnerability level transformation Weihe Plain |
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Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability |
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Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability |
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study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability |
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Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability |
abstract |
This study analyzed hierarchical change patterns of regional ecological vulnerability by coupling GIS data and fuzzy analytic hierarchy process. It identified the spatiotemporal features of eco-environment and major environmental problems in Weihe Plain, a typical urban agglomeration in China. Previous studies on regional ecological vulnerability have been focusing on evaluating ecological vulnerability status and developing assessment methods, while ignoring the mechanisms of vulnerability transformation from one to another level. This study further proposed a subjective evaluation model for ecological vulnerability classification and transformation analysis in a multi-index hierarchical evaluation system. The results indicated that ecological vulnerability index was higher in the urban areas than the surrounding counties from 2000 to 2012, which had a great relationship with the impacts of urbanization on ecological vulnerability. The light ecological vulnerability level was found to be relatively variable over the years and have the greatest impact on the change of regional ecological environment. Analysis with the transformation matrix model found that the degree of regional ecological environment stability was regulated by two mechanisms: 1) The proportion of the constant ecological vulnerability level is essential for maintaining the stability of ecological environment; and 2) the difference between the area percentages of decreased and increased vulnerability determines the trend of ecological vulnerability changes. As verified by applications to two nearby regions, this ecological vulnerability transformation model can be used to monitor the dynamics of ecological vulnerability and identify the leading ecological vulnerability level in other large geographical areas. |
abstractGer |
This study analyzed hierarchical change patterns of regional ecological vulnerability by coupling GIS data and fuzzy analytic hierarchy process. It identified the spatiotemporal features of eco-environment and major environmental problems in Weihe Plain, a typical urban agglomeration in China. Previous studies on regional ecological vulnerability have been focusing on evaluating ecological vulnerability status and developing assessment methods, while ignoring the mechanisms of vulnerability transformation from one to another level. This study further proposed a subjective evaluation model for ecological vulnerability classification and transformation analysis in a multi-index hierarchical evaluation system. The results indicated that ecological vulnerability index was higher in the urban areas than the surrounding counties from 2000 to 2012, which had a great relationship with the impacts of urbanization on ecological vulnerability. The light ecological vulnerability level was found to be relatively variable over the years and have the greatest impact on the change of regional ecological environment. Analysis with the transformation matrix model found that the degree of regional ecological environment stability was regulated by two mechanisms: 1) The proportion of the constant ecological vulnerability level is essential for maintaining the stability of ecological environment; and 2) the difference between the area percentages of decreased and increased vulnerability determines the trend of ecological vulnerability changes. As verified by applications to two nearby regions, this ecological vulnerability transformation model can be used to monitor the dynamics of ecological vulnerability and identify the leading ecological vulnerability level in other large geographical areas. |
abstract_unstemmed |
This study analyzed hierarchical change patterns of regional ecological vulnerability by coupling GIS data and fuzzy analytic hierarchy process. It identified the spatiotemporal features of eco-environment and major environmental problems in Weihe Plain, a typical urban agglomeration in China. Previous studies on regional ecological vulnerability have been focusing on evaluating ecological vulnerability status and developing assessment methods, while ignoring the mechanisms of vulnerability transformation from one to another level. This study further proposed a subjective evaluation model for ecological vulnerability classification and transformation analysis in a multi-index hierarchical evaluation system. The results indicated that ecological vulnerability index was higher in the urban areas than the surrounding counties from 2000 to 2012, which had a great relationship with the impacts of urbanization on ecological vulnerability. The light ecological vulnerability level was found to be relatively variable over the years and have the greatest impact on the change of regional ecological environment. Analysis with the transformation matrix model found that the degree of regional ecological environment stability was regulated by two mechanisms: 1) The proportion of the constant ecological vulnerability level is essential for maintaining the stability of ecological environment; and 2) the difference between the area percentages of decreased and increased vulnerability determines the trend of ecological vulnerability changes. As verified by applications to two nearby regions, this ecological vulnerability transformation model can be used to monitor the dynamics of ecological vulnerability and identify the leading ecological vulnerability level in other large geographical areas. |
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