Coupling responses of landscape pattern to human activity and their drivers in the hinterland of Three Gorges Reservoir Area
Human activities and landscape patterns are important representations of two major elements in the human-land system. Therefore, analyzing coupling characteristics of human activity intensity and landscape patterns is of great significance to reveal the evolution of regional human-land relationships...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mengqin Huang [verfasserIn] Yangbing Li [verfasserIn] Chunhua Xia [verfasserIn] Chencen Zeng [verfasserIn] Bing Zhang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Global Ecology and Conservation - Elsevier, 2015, 33(2022), Seite e01992- |
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| Übergeordnetes Werk: |
volume:33 ; year:2022 ; pages:e01992- |
| Links: |
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| DOI / URN: |
10.1016/j.gecco.2021.e01992 |
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| Katalog-ID: |
DOAJ086594672 |
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| 520 | |a Human activities and landscape patterns are important representations of two major elements in the human-land system. Therefore, analyzing coupling characteristics of human activity intensity and landscape patterns is of great significance to reveal the evolution of regional human-land relationships. To fill the hole on the coupling response of human activity intensity and landscape pattern, the mountainous human activity intensity and landscape pattern coupling model was constructed, and the comprehensive dominant-recessive human activity intensity index (CHAI) was proposed. Moreover, based on the AHP and cumulative index method, we quantitatively evaluated the human activities intensity of Fengjie County in the hinterland of Three Gorges Reservoir Area (TGRA) from 2000–2020, and analyzed spatial coupling patterns between CHAI and landscape pattern through the local spatial autocorrelation model. Finally, factors influencing the type of coupled change in CHAI and landscape pattern were explored by a binary logistic regression model. The results show: (1) There are no obvious changes in CHAI of Fengjie County, but the spatial change shows the characteristics closely related to the terrain gradient and the level of economic development of Fengjie County with an overall contraction while local enhancement. (2) The spatial coupling between CHAI and landscape pattern in Fengjie County shows four types: Coordination type, antagonism type, gradually coordinated type, gradually antagonistic type. (3) The important impact factors of the coupling between CHAI and landscape pattern are distance to county administrative center, distance to the town government, and landform, etc., which reflects socio-economic factors were the main factors in the evolution of the regional social ecosystem. (4) There are diverse and special coupling responses between human activity intensity and landscape patterns in the hinterland of TGRA. In general, the hinterland of TGRA has achieved a win-win situation for the ecology and economy through partial disharmony in exchange for overall coordination. Moreover, the research results reveal the uniqueness of China's mountainous landscape pattern in response to human activities in recent years. | ||
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| 650 | 4 | |a Landscape pattern | |
| 650 | 4 | |a Coupling response | |
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10.1016/j.gecco.2021.e01992 doi (DE-627)DOAJ086594672 (DE-599)DOAJ32bc63f64d604722b3b31b3130971b13 DE-627 ger DE-627 rakwb eng QH540-549.5 Mengqin Huang verfasserin aut Coupling responses of landscape pattern to human activity and their drivers in the hinterland of Three Gorges Reservoir Area 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Human activities and landscape patterns are important representations of two major elements in the human-land system. Therefore, analyzing coupling characteristics of human activity intensity and landscape patterns is of great significance to reveal the evolution of regional human-land relationships. To fill the hole on the coupling response of human activity intensity and landscape pattern, the mountainous human activity intensity and landscape pattern coupling model was constructed, and the comprehensive dominant-recessive human activity intensity index (CHAI) was proposed. Moreover, based on the AHP and cumulative index method, we quantitatively evaluated the human activities intensity of Fengjie County in the hinterland of Three Gorges Reservoir Area (TGRA) from 2000–2020, and analyzed spatial coupling patterns between CHAI and landscape pattern through the local spatial autocorrelation model. Finally, factors influencing the type of coupled change in CHAI and landscape pattern were explored by a binary logistic regression model. The results show: (1) There are no obvious changes in CHAI of Fengjie County, but the spatial change shows the characteristics closely related to the terrain gradient and the level of economic development of Fengjie County with an overall contraction while local enhancement. (2) The spatial coupling between CHAI and landscape pattern in Fengjie County shows four types: Coordination type, antagonism type, gradually coordinated type, gradually antagonistic type. (3) The important impact factors of the coupling between CHAI and landscape pattern are distance to county administrative center, distance to the town government, and landform, etc., which reflects socio-economic factors were the main factors in the evolution of the regional social ecosystem. (4) There are diverse and special coupling responses between human activity intensity and landscape patterns in the hinterland of TGRA. In general, the hinterland of TGRA has achieved a win-win situation for the ecology and economy through partial disharmony in exchange for overall coordination. Moreover, the research results reveal the uniqueness of China's mountainous landscape pattern in response to human activities in recent years. Human activity intensity Landscape pattern Coupling response The hinterland of Three Gorges Reservoir Area Ecology Yangbing Li verfasserin aut Chunhua Xia verfasserin aut Chencen Zeng verfasserin aut Bing Zhang verfasserin aut In Global Ecology and Conservation Elsevier, 2015 33(2022), Seite e01992- (DE-627)820688959 (DE-600)2814786-8 23519894 nnns volume:33 year:2022 pages:e01992- https://doi.org/10.1016/j.gecco.2021.e01992 kostenfrei https://doaj.org/article/32bc63f64d604722b3b31b3130971b13 kostenfrei http://www.sciencedirect.com/science/article/pii/S2351989421005424 kostenfrei https://doaj.org/toc/2351-9894 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2022 e01992- |
| spelling |
10.1016/j.gecco.2021.e01992 doi (DE-627)DOAJ086594672 (DE-599)DOAJ32bc63f64d604722b3b31b3130971b13 DE-627 ger DE-627 rakwb eng QH540-549.5 Mengqin Huang verfasserin aut Coupling responses of landscape pattern to human activity and their drivers in the hinterland of Three Gorges Reservoir Area 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Human activities and landscape patterns are important representations of two major elements in the human-land system. Therefore, analyzing coupling characteristics of human activity intensity and landscape patterns is of great significance to reveal the evolution of regional human-land relationships. To fill the hole on the coupling response of human activity intensity and landscape pattern, the mountainous human activity intensity and landscape pattern coupling model was constructed, and the comprehensive dominant-recessive human activity intensity index (CHAI) was proposed. Moreover, based on the AHP and cumulative index method, we quantitatively evaluated the human activities intensity of Fengjie County in the hinterland of Three Gorges Reservoir Area (TGRA) from 2000–2020, and analyzed spatial coupling patterns between CHAI and landscape pattern through the local spatial autocorrelation model. Finally, factors influencing the type of coupled change in CHAI and landscape pattern were explored by a binary logistic regression model. The results show: (1) There are no obvious changes in CHAI of Fengjie County, but the spatial change shows the characteristics closely related to the terrain gradient and the level of economic development of Fengjie County with an overall contraction while local enhancement. (2) The spatial coupling between CHAI and landscape pattern in Fengjie County shows four types: Coordination type, antagonism type, gradually coordinated type, gradually antagonistic type. (3) The important impact factors of the coupling between CHAI and landscape pattern are distance to county administrative center, distance to the town government, and landform, etc., which reflects socio-economic factors were the main factors in the evolution of the regional social ecosystem. (4) There are diverse and special coupling responses between human activity intensity and landscape patterns in the hinterland of TGRA. In general, the hinterland of TGRA has achieved a win-win situation for the ecology and economy through partial disharmony in exchange for overall coordination. Moreover, the research results reveal the uniqueness of China's mountainous landscape pattern in response to human activities in recent years. Human activity intensity Landscape pattern Coupling response The hinterland of Three Gorges Reservoir Area Ecology Yangbing Li verfasserin aut Chunhua Xia verfasserin aut Chencen Zeng verfasserin aut Bing Zhang verfasserin aut In Global Ecology and Conservation Elsevier, 2015 33(2022), Seite e01992- (DE-627)820688959 (DE-600)2814786-8 23519894 nnns volume:33 year:2022 pages:e01992- https://doi.org/10.1016/j.gecco.2021.e01992 kostenfrei https://doaj.org/article/32bc63f64d604722b3b31b3130971b13 kostenfrei http://www.sciencedirect.com/science/article/pii/S2351989421005424 kostenfrei https://doaj.org/toc/2351-9894 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2022 e01992- |
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10.1016/j.gecco.2021.e01992 doi (DE-627)DOAJ086594672 (DE-599)DOAJ32bc63f64d604722b3b31b3130971b13 DE-627 ger DE-627 rakwb eng QH540-549.5 Mengqin Huang verfasserin aut Coupling responses of landscape pattern to human activity and their drivers in the hinterland of Three Gorges Reservoir Area 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Human activities and landscape patterns are important representations of two major elements in the human-land system. Therefore, analyzing coupling characteristics of human activity intensity and landscape patterns is of great significance to reveal the evolution of regional human-land relationships. To fill the hole on the coupling response of human activity intensity and landscape pattern, the mountainous human activity intensity and landscape pattern coupling model was constructed, and the comprehensive dominant-recessive human activity intensity index (CHAI) was proposed. Moreover, based on the AHP and cumulative index method, we quantitatively evaluated the human activities intensity of Fengjie County in the hinterland of Three Gorges Reservoir Area (TGRA) from 2000–2020, and analyzed spatial coupling patterns between CHAI and landscape pattern through the local spatial autocorrelation model. Finally, factors influencing the type of coupled change in CHAI and landscape pattern were explored by a binary logistic regression model. The results show: (1) There are no obvious changes in CHAI of Fengjie County, but the spatial change shows the characteristics closely related to the terrain gradient and the level of economic development of Fengjie County with an overall contraction while local enhancement. (2) The spatial coupling between CHAI and landscape pattern in Fengjie County shows four types: Coordination type, antagonism type, gradually coordinated type, gradually antagonistic type. (3) The important impact factors of the coupling between CHAI and landscape pattern are distance to county administrative center, distance to the town government, and landform, etc., which reflects socio-economic factors were the main factors in the evolution of the regional social ecosystem. (4) There are diverse and special coupling responses between human activity intensity and landscape patterns in the hinterland of TGRA. In general, the hinterland of TGRA has achieved a win-win situation for the ecology and economy through partial disharmony in exchange for overall coordination. Moreover, the research results reveal the uniqueness of China's mountainous landscape pattern in response to human activities in recent years. Human activity intensity Landscape pattern Coupling response The hinterland of Three Gorges Reservoir Area Ecology Yangbing Li verfasserin aut Chunhua Xia verfasserin aut Chencen Zeng verfasserin aut Bing Zhang verfasserin aut In Global Ecology and Conservation Elsevier, 2015 33(2022), Seite e01992- (DE-627)820688959 (DE-600)2814786-8 23519894 nnns volume:33 year:2022 pages:e01992- https://doi.org/10.1016/j.gecco.2021.e01992 kostenfrei https://doaj.org/article/32bc63f64d604722b3b31b3130971b13 kostenfrei http://www.sciencedirect.com/science/article/pii/S2351989421005424 kostenfrei https://doaj.org/toc/2351-9894 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2022 e01992- |
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10.1016/j.gecco.2021.e01992 doi (DE-627)DOAJ086594672 (DE-599)DOAJ32bc63f64d604722b3b31b3130971b13 DE-627 ger DE-627 rakwb eng QH540-549.5 Mengqin Huang verfasserin aut Coupling responses of landscape pattern to human activity and their drivers in the hinterland of Three Gorges Reservoir Area 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Human activities and landscape patterns are important representations of two major elements in the human-land system. Therefore, analyzing coupling characteristics of human activity intensity and landscape patterns is of great significance to reveal the evolution of regional human-land relationships. To fill the hole on the coupling response of human activity intensity and landscape pattern, the mountainous human activity intensity and landscape pattern coupling model was constructed, and the comprehensive dominant-recessive human activity intensity index (CHAI) was proposed. Moreover, based on the AHP and cumulative index method, we quantitatively evaluated the human activities intensity of Fengjie County in the hinterland of Three Gorges Reservoir Area (TGRA) from 2000–2020, and analyzed spatial coupling patterns between CHAI and landscape pattern through the local spatial autocorrelation model. Finally, factors influencing the type of coupled change in CHAI and landscape pattern were explored by a binary logistic regression model. The results show: (1) There are no obvious changes in CHAI of Fengjie County, but the spatial change shows the characteristics closely related to the terrain gradient and the level of economic development of Fengjie County with an overall contraction while local enhancement. (2) The spatial coupling between CHAI and landscape pattern in Fengjie County shows four types: Coordination type, antagonism type, gradually coordinated type, gradually antagonistic type. (3) The important impact factors of the coupling between CHAI and landscape pattern are distance to county administrative center, distance to the town government, and landform, etc., which reflects socio-economic factors were the main factors in the evolution of the regional social ecosystem. (4) There are diverse and special coupling responses between human activity intensity and landscape patterns in the hinterland of TGRA. In general, the hinterland of TGRA has achieved a win-win situation for the ecology and economy through partial disharmony in exchange for overall coordination. Moreover, the research results reveal the uniqueness of China's mountainous landscape pattern in response to human activities in recent years. Human activity intensity Landscape pattern Coupling response The hinterland of Three Gorges Reservoir Area Ecology Yangbing Li verfasserin aut Chunhua Xia verfasserin aut Chencen Zeng verfasserin aut Bing Zhang verfasserin aut In Global Ecology and Conservation Elsevier, 2015 33(2022), Seite e01992- (DE-627)820688959 (DE-600)2814786-8 23519894 nnns volume:33 year:2022 pages:e01992- https://doi.org/10.1016/j.gecco.2021.e01992 kostenfrei https://doaj.org/article/32bc63f64d604722b3b31b3130971b13 kostenfrei http://www.sciencedirect.com/science/article/pii/S2351989421005424 kostenfrei https://doaj.org/toc/2351-9894 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 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_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 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_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2022 e01992- |
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QH540-549.5 Coupling responses of landscape pattern to human activity and their drivers in the hinterland of Three Gorges Reservoir Area Human activity intensity Landscape pattern Coupling response The hinterland of Three Gorges Reservoir Area |
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Coupling responses of landscape pattern to human activity and their drivers in the hinterland of Three Gorges Reservoir Area |
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coupling responses of landscape pattern to human activity and their drivers in the hinterland of three gorges reservoir area |
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Coupling responses of landscape pattern to human activity and their drivers in the hinterland of Three Gorges Reservoir Area |
| abstract |
Human activities and landscape patterns are important representations of two major elements in the human-land system. Therefore, analyzing coupling characteristics of human activity intensity and landscape patterns is of great significance to reveal the evolution of regional human-land relationships. To fill the hole on the coupling response of human activity intensity and landscape pattern, the mountainous human activity intensity and landscape pattern coupling model was constructed, and the comprehensive dominant-recessive human activity intensity index (CHAI) was proposed. Moreover, based on the AHP and cumulative index method, we quantitatively evaluated the human activities intensity of Fengjie County in the hinterland of Three Gorges Reservoir Area (TGRA) from 2000–2020, and analyzed spatial coupling patterns between CHAI and landscape pattern through the local spatial autocorrelation model. Finally, factors influencing the type of coupled change in CHAI and landscape pattern were explored by a binary logistic regression model. The results show: (1) There are no obvious changes in CHAI of Fengjie County, but the spatial change shows the characteristics closely related to the terrain gradient and the level of economic development of Fengjie County with an overall contraction while local enhancement. (2) The spatial coupling between CHAI and landscape pattern in Fengjie County shows four types: Coordination type, antagonism type, gradually coordinated type, gradually antagonistic type. (3) The important impact factors of the coupling between CHAI and landscape pattern are distance to county administrative center, distance to the town government, and landform, etc., which reflects socio-economic factors were the main factors in the evolution of the regional social ecosystem. (4) There are diverse and special coupling responses between human activity intensity and landscape patterns in the hinterland of TGRA. In general, the hinterland of TGRA has achieved a win-win situation for the ecology and economy through partial disharmony in exchange for overall coordination. Moreover, the research results reveal the uniqueness of China's mountainous landscape pattern in response to human activities in recent years. |
| abstractGer |
Human activities and landscape patterns are important representations of two major elements in the human-land system. Therefore, analyzing coupling characteristics of human activity intensity and landscape patterns is of great significance to reveal the evolution of regional human-land relationships. To fill the hole on the coupling response of human activity intensity and landscape pattern, the mountainous human activity intensity and landscape pattern coupling model was constructed, and the comprehensive dominant-recessive human activity intensity index (CHAI) was proposed. Moreover, based on the AHP and cumulative index method, we quantitatively evaluated the human activities intensity of Fengjie County in the hinterland of Three Gorges Reservoir Area (TGRA) from 2000–2020, and analyzed spatial coupling patterns between CHAI and landscape pattern through the local spatial autocorrelation model. Finally, factors influencing the type of coupled change in CHAI and landscape pattern were explored by a binary logistic regression model. The results show: (1) There are no obvious changes in CHAI of Fengjie County, but the spatial change shows the characteristics closely related to the terrain gradient and the level of economic development of Fengjie County with an overall contraction while local enhancement. (2) The spatial coupling between CHAI and landscape pattern in Fengjie County shows four types: Coordination type, antagonism type, gradually coordinated type, gradually antagonistic type. (3) The important impact factors of the coupling between CHAI and landscape pattern are distance to county administrative center, distance to the town government, and landform, etc., which reflects socio-economic factors were the main factors in the evolution of the regional social ecosystem. (4) There are diverse and special coupling responses between human activity intensity and landscape patterns in the hinterland of TGRA. In general, the hinterland of TGRA has achieved a win-win situation for the ecology and economy through partial disharmony in exchange for overall coordination. Moreover, the research results reveal the uniqueness of China's mountainous landscape pattern in response to human activities in recent years. |
| abstract_unstemmed |
Human activities and landscape patterns are important representations of two major elements in the human-land system. Therefore, analyzing coupling characteristics of human activity intensity and landscape patterns is of great significance to reveal the evolution of regional human-land relationships. To fill the hole on the coupling response of human activity intensity and landscape pattern, the mountainous human activity intensity and landscape pattern coupling model was constructed, and the comprehensive dominant-recessive human activity intensity index (CHAI) was proposed. Moreover, based on the AHP and cumulative index method, we quantitatively evaluated the human activities intensity of Fengjie County in the hinterland of Three Gorges Reservoir Area (TGRA) from 2000–2020, and analyzed spatial coupling patterns between CHAI and landscape pattern through the local spatial autocorrelation model. Finally, factors influencing the type of coupled change in CHAI and landscape pattern were explored by a binary logistic regression model. The results show: (1) There are no obvious changes in CHAI of Fengjie County, but the spatial change shows the characteristics closely related to the terrain gradient and the level of economic development of Fengjie County with an overall contraction while local enhancement. (2) The spatial coupling between CHAI and landscape pattern in Fengjie County shows four types: Coordination type, antagonism type, gradually coordinated type, gradually antagonistic type. (3) The important impact factors of the coupling between CHAI and landscape pattern are distance to county administrative center, distance to the town government, and landform, etc., which reflects socio-economic factors were the main factors in the evolution of the regional social ecosystem. (4) There are diverse and special coupling responses between human activity intensity and landscape patterns in the hinterland of TGRA. In general, the hinterland of TGRA has achieved a win-win situation for the ecology and economy through partial disharmony in exchange for overall coordination. Moreover, the research results reveal the uniqueness of China's mountainous landscape pattern in response to human activities in recent years. |
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Coupling responses of landscape pattern to human activity and their drivers in the hinterland of Three Gorges Reservoir Area |
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