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

Gespeichert in:

Autor*in:	Hou, Kang [verfasserIn] Tao, Wendong [verfasserIn] Wang, Liming [verfasserIn] Li, Xuxiang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Ecological vulnerability classification Ecological vulnerability index Fuzzy analytic hierarchy process Spatial distribution Vulnerability level transformation Weihe Plain

Übergeordnetes Werk:	Enthalten in: Ecological indicators - Amsterdam [u.a.] : Elsevier Science, 2001, 114
Übergeordnetes Werk:	volume:114

DOI / URN:	10.1016/j.ecolind.2020.106343

Katalog-ID:	ELV004004094

Internformat


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024	7		\|a 10.1016/j.ecolind.2020.106343 \|2 doi
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245	1	0	\|a Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability
264		1	\|c 2020
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337			\|a Computermedien \|b c \|2 rdamedia
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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
773	0	8	\|i Enthalten in \|t Ecological indicators \|d Amsterdam [u.a.] : Elsevier Science, 2001 \|g 114 \|h Online-Ressource \|w (DE-627)338074163 \|w (DE-600)2063587-4 \|w (DE-576)259272388 \|x 1872-7034 \|7 nnns
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912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
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912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
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912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
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912			\|a GBV_ILN_2111
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912			\|a GBV_ILN_2113
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912			\|a GBV_ILN_4037
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912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 114

Indexfelder

author_variant	k h kh w t wt l w lw x l xl
matchkey_str	article:18727034:2020----::tdoheaciatasomtomcaimorgoaeooiavle
hierarchy_sort_str	2020
publishDate	2020
allfields	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
allfieldsSound	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
language	English
source	Enthalten in Ecological indicators 114 volume:114
sourceStr	Enthalten in Ecological indicators 114 volume:114
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Ecological vulnerability classification Ecological vulnerability index Fuzzy analytic hierarchy process Spatial distribution Vulnerability level transformation Weihe Plain
dewey-raw	570
isfreeaccess_bool	false
container_title	Ecological indicators
authorswithroles_txt_mv	Hou, Kang @@aut@@ Tao, Wendong @@aut@@ Wang, Liming @@aut@@ Li, Xuxiang @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	338074163
dewey-sort	3570
id	ELV004004094
language_de	englisch
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author	Hou, Kang
spellingShingle	Hou, Kang ddc 570 fid BIODIV misc Ecological vulnerability classification misc Ecological vulnerability index misc Fuzzy analytic hierarchy process misc Spatial distribution misc Vulnerability level transformation misc Weihe Plain Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability
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topic_title	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
topic	ddc 570 fid BIODIV misc Ecological vulnerability classification misc Ecological vulnerability index misc Fuzzy analytic hierarchy process misc Spatial distribution misc Vulnerability level transformation misc Weihe Plain
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title	Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability
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title_full	Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability
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title_sort	study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability
title_auth	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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title_short	Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability
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up_date	2024-07-06T21:31:22.248Z
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Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability

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