Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island

In response to the needs of national ecological construction, especially the construction of high-quality marine space and reasonable use of the marine environment, Pingtan Island as a demonstration area of China's environmental construction, this study evaluates the quality of its ecological e...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Jiajia Xu [verfasserIn] Xiaofang Jiang [verfasserIn] Hai Liu [verfasserIn] Feijian Yin [verfasserIn] Yuting Xu [verfasserIn] Changhao Gao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Pingtan Island Urbanization Ecosystem Ecological services

Übergeordnetes Werk:	In: Ecological Indicators - Elsevier, 2021, 158(2024), Seite 111590-
Übergeordnetes Werk:	volume:158 ; year:2024 ; pages:111590-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.ecolind.2024.111590

Katalog-ID:	DOAJ096523379

Internformat


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allfields	10.1016/j.ecolind.2024.111590 doi (DE-627)DOAJ096523379 (DE-599)DOAJ0afee0a5267a4d2ba5c4c90f2d6800d8 DE-627 ger DE-627 rakwb eng QH540-549.5 Jiajia Xu verfasserin aut Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In response to the needs of national ecological construction, especially the construction of high-quality marine space and reasonable use of the marine environment, Pingtan Island as a demonstration area of China's environmental construction, this study evaluates the quality of its ecological environment, which provides reference for the protection of the future ecological environment. In this study, CASA (Carnegie-ames-stanford approach), RUSLE (Revised universal soil loss equation) and InVEST (Integrated valuation of ecosystem services and trade-offs) models were selected for ecological environment assessment in the Pingtan Island. The NPP (Net primary productivity) calculated by CASA model, soil erosion data calculated by RUSLE and habitat quality, total carbon, water yield, and sediment delivery ratio calculated by InVEST model showed that the ecological environment quality and ecological service function of the study area had a weakening trend from 2000 to 2010. In particular, there was a tendency to weaken the water yield and sediment delivery ratio in the Pingtan Island between 2000 and 2010. The weakening trend during 2010 and 2020 was much higher than that during 2000 and 2010. The main influencing factor of each ecological service function is NDVI, which indicates that the degree of vegetation cover is the key factor determining the ecological service function. The impact of GDP and population on the ecological service functions is also large, which indicates that with the acceleration of urbanization, the ecological service function of the research area has been negatively affected. Changes in ecological services and ecological restoration functions are significant for local sustainable development. Pingtan Island Urbanization Ecosystem Ecological services Ecology Xiaofang Jiang verfasserin aut Hai Liu verfasserin aut Feijian Yin verfasserin aut Yuting Xu verfasserin aut Changhao Gao verfasserin aut In Ecological Indicators Elsevier, 2021 158(2024), Seite 111590- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:158 year:2024 pages:111590- https://doi.org/10.1016/j.ecolind.2024.111590 kostenfrei https://doaj.org/article/0afee0a5267a4d2ba5c4c90f2d6800d8 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X24000475 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 158 2024 111590-
spelling	10.1016/j.ecolind.2024.111590 doi (DE-627)DOAJ096523379 (DE-599)DOAJ0afee0a5267a4d2ba5c4c90f2d6800d8 DE-627 ger DE-627 rakwb eng QH540-549.5 Jiajia Xu verfasserin aut Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In response to the needs of national ecological construction, especially the construction of high-quality marine space and reasonable use of the marine environment, Pingtan Island as a demonstration area of China's environmental construction, this study evaluates the quality of its ecological environment, which provides reference for the protection of the future ecological environment. In this study, CASA (Carnegie-ames-stanford approach), RUSLE (Revised universal soil loss equation) and InVEST (Integrated valuation of ecosystem services and trade-offs) models were selected for ecological environment assessment in the Pingtan Island. The NPP (Net primary productivity) calculated by CASA model, soil erosion data calculated by RUSLE and habitat quality, total carbon, water yield, and sediment delivery ratio calculated by InVEST model showed that the ecological environment quality and ecological service function of the study area had a weakening trend from 2000 to 2010. In particular, there was a tendency to weaken the water yield and sediment delivery ratio in the Pingtan Island between 2000 and 2010. The weakening trend during 2010 and 2020 was much higher than that during 2000 and 2010. The main influencing factor of each ecological service function is NDVI, which indicates that the degree of vegetation cover is the key factor determining the ecological service function. The impact of GDP and population on the ecological service functions is also large, which indicates that with the acceleration of urbanization, the ecological service function of the research area has been negatively affected. Changes in ecological services and ecological restoration functions are significant for local sustainable development. Pingtan Island Urbanization Ecosystem Ecological services Ecology Xiaofang Jiang verfasserin aut Hai Liu verfasserin aut Feijian Yin verfasserin aut Yuting Xu verfasserin aut Changhao Gao verfasserin aut In Ecological Indicators Elsevier, 2021 158(2024), Seite 111590- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:158 year:2024 pages:111590- https://doi.org/10.1016/j.ecolind.2024.111590 kostenfrei https://doaj.org/article/0afee0a5267a4d2ba5c4c90f2d6800d8 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X24000475 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 158 2024 111590-
allfields_unstemmed	10.1016/j.ecolind.2024.111590 doi (DE-627)DOAJ096523379 (DE-599)DOAJ0afee0a5267a4d2ba5c4c90f2d6800d8 DE-627 ger DE-627 rakwb eng QH540-549.5 Jiajia Xu verfasserin aut Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In response to the needs of national ecological construction, especially the construction of high-quality marine space and reasonable use of the marine environment, Pingtan Island as a demonstration area of China's environmental construction, this study evaluates the quality of its ecological environment, which provides reference for the protection of the future ecological environment. In this study, CASA (Carnegie-ames-stanford approach), RUSLE (Revised universal soil loss equation) and InVEST (Integrated valuation of ecosystem services and trade-offs) models were selected for ecological environment assessment in the Pingtan Island. The NPP (Net primary productivity) calculated by CASA model, soil erosion data calculated by RUSLE and habitat quality, total carbon, water yield, and sediment delivery ratio calculated by InVEST model showed that the ecological environment quality and ecological service function of the study area had a weakening trend from 2000 to 2010. In particular, there was a tendency to weaken the water yield and sediment delivery ratio in the Pingtan Island between 2000 and 2010. The weakening trend during 2010 and 2020 was much higher than that during 2000 and 2010. The main influencing factor of each ecological service function is NDVI, which indicates that the degree of vegetation cover is the key factor determining the ecological service function. The impact of GDP and population on the ecological service functions is also large, which indicates that with the acceleration of urbanization, the ecological service function of the research area has been negatively affected. Changes in ecological services and ecological restoration functions are significant for local sustainable development. Pingtan Island Urbanization Ecosystem Ecological services Ecology Xiaofang Jiang verfasserin aut Hai Liu verfasserin aut Feijian Yin verfasserin aut Yuting Xu verfasserin aut Changhao Gao verfasserin aut In Ecological Indicators Elsevier, 2021 158(2024), Seite 111590- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:158 year:2024 pages:111590- https://doi.org/10.1016/j.ecolind.2024.111590 kostenfrei https://doaj.org/article/0afee0a5267a4d2ba5c4c90f2d6800d8 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X24000475 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 158 2024 111590-
allfieldsGer	10.1016/j.ecolind.2024.111590 doi (DE-627)DOAJ096523379 (DE-599)DOAJ0afee0a5267a4d2ba5c4c90f2d6800d8 DE-627 ger DE-627 rakwb eng QH540-549.5 Jiajia Xu verfasserin aut Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In response to the needs of national ecological construction, especially the construction of high-quality marine space and reasonable use of the marine environment, Pingtan Island as a demonstration area of China's environmental construction, this study evaluates the quality of its ecological environment, which provides reference for the protection of the future ecological environment. In this study, CASA (Carnegie-ames-stanford approach), RUSLE (Revised universal soil loss equation) and InVEST (Integrated valuation of ecosystem services and trade-offs) models were selected for ecological environment assessment in the Pingtan Island. The NPP (Net primary productivity) calculated by CASA model, soil erosion data calculated by RUSLE and habitat quality, total carbon, water yield, and sediment delivery ratio calculated by InVEST model showed that the ecological environment quality and ecological service function of the study area had a weakening trend from 2000 to 2010. In particular, there was a tendency to weaken the water yield and sediment delivery ratio in the Pingtan Island between 2000 and 2010. The weakening trend during 2010 and 2020 was much higher than that during 2000 and 2010. The main influencing factor of each ecological service function is NDVI, which indicates that the degree of vegetation cover is the key factor determining the ecological service function. The impact of GDP and population on the ecological service functions is also large, which indicates that with the acceleration of urbanization, the ecological service function of the research area has been negatively affected. Changes in ecological services and ecological restoration functions are significant for local sustainable development. Pingtan Island Urbanization Ecosystem Ecological services Ecology Xiaofang Jiang verfasserin aut Hai Liu verfasserin aut Feijian Yin verfasserin aut Yuting Xu verfasserin aut Changhao Gao verfasserin aut In Ecological Indicators Elsevier, 2021 158(2024), Seite 111590- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:158 year:2024 pages:111590- https://doi.org/10.1016/j.ecolind.2024.111590 kostenfrei https://doaj.org/article/0afee0a5267a4d2ba5c4c90f2d6800d8 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X24000475 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 158 2024 111590-
allfieldsSound	10.1016/j.ecolind.2024.111590 doi (DE-627)DOAJ096523379 (DE-599)DOAJ0afee0a5267a4d2ba5c4c90f2d6800d8 DE-627 ger DE-627 rakwb eng QH540-549.5 Jiajia Xu verfasserin aut Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In response to the needs of national ecological construction, especially the construction of high-quality marine space and reasonable use of the marine environment, Pingtan Island as a demonstration area of China's environmental construction, this study evaluates the quality of its ecological environment, which provides reference for the protection of the future ecological environment. In this study, CASA (Carnegie-ames-stanford approach), RUSLE (Revised universal soil loss equation) and InVEST (Integrated valuation of ecosystem services and trade-offs) models were selected for ecological environment assessment in the Pingtan Island. The NPP (Net primary productivity) calculated by CASA model, soil erosion data calculated by RUSLE and habitat quality, total carbon, water yield, and sediment delivery ratio calculated by InVEST model showed that the ecological environment quality and ecological service function of the study area had a weakening trend from 2000 to 2010. In particular, there was a tendency to weaken the water yield and sediment delivery ratio in the Pingtan Island between 2000 and 2010. The weakening trend during 2010 and 2020 was much higher than that during 2000 and 2010. The main influencing factor of each ecological service function is NDVI, which indicates that the degree of vegetation cover is the key factor determining the ecological service function. The impact of GDP and population on the ecological service functions is also large, which indicates that with the acceleration of urbanization, the ecological service function of the research area has been negatively affected. Changes in ecological services and ecological restoration functions are significant for local sustainable development. Pingtan Island Urbanization Ecosystem Ecological services Ecology Xiaofang Jiang verfasserin aut Hai Liu verfasserin aut Feijian Yin verfasserin aut Yuting Xu verfasserin aut Changhao Gao verfasserin aut In Ecological Indicators Elsevier, 2021 158(2024), Seite 111590- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:158 year:2024 pages:111590- https://doi.org/10.1016/j.ecolind.2024.111590 kostenfrei https://doaj.org/article/0afee0a5267a4d2ba5c4c90f2d6800d8 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X24000475 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 158 2024 111590-
language	English
source	In Ecological Indicators 158(2024), Seite 111590- volume:158 year:2024 pages:111590-
sourceStr	In Ecological Indicators 158(2024), Seite 111590- volume:158 year:2024 pages:111590-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Pingtan Island Urbanization Ecosystem Ecological services Ecology
isfreeaccess_bool	true
container_title	Ecological Indicators
authorswithroles_txt_mv	Jiajia Xu @@aut@@ Xiaofang Jiang @@aut@@ Hai Liu @@aut@@ Feijian Yin @@aut@@ Yuting Xu @@aut@@ Changhao Gao @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	338074163
id	DOAJ096523379
language_de	englisch
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author	Jiajia Xu
spellingShingle	Jiajia Xu misc QH540-549.5 misc Pingtan Island misc Urbanization misc Ecosystem misc Ecological services misc Ecology Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island
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topic_title	QH540-549.5 Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island Pingtan Island Urbanization Ecosystem Ecological services
topic	misc QH540-549.5 misc Pingtan Island misc Urbanization misc Ecosystem misc Ecological services misc Ecology
topic_unstemmed	misc QH540-549.5 misc Pingtan Island misc Urbanization misc Ecosystem misc Ecological services misc Ecology
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title	Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island
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title_full	Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island
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journal	Ecological Indicators
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author_browse	Jiajia Xu Xiaofang Jiang Hai Liu Feijian Yin Yuting Xu Changhao Gao
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title_sort	monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in pingtan island
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title_auth	Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island
abstract	In response to the needs of national ecological construction, especially the construction of high-quality marine space and reasonable use of the marine environment, Pingtan Island as a demonstration area of China's environmental construction, this study evaluates the quality of its ecological environment, which provides reference for the protection of the future ecological environment. In this study, CASA (Carnegie-ames-stanford approach), RUSLE (Revised universal soil loss equation) and InVEST (Integrated valuation of ecosystem services and trade-offs) models were selected for ecological environment assessment in the Pingtan Island. The NPP (Net primary productivity) calculated by CASA model, soil erosion data calculated by RUSLE and habitat quality, total carbon, water yield, and sediment delivery ratio calculated by InVEST model showed that the ecological environment quality and ecological service function of the study area had a weakening trend from 2000 to 2010. In particular, there was a tendency to weaken the water yield and sediment delivery ratio in the Pingtan Island between 2000 and 2010. The weakening trend during 2010 and 2020 was much higher than that during 2000 and 2010. The main influencing factor of each ecological service function is NDVI, which indicates that the degree of vegetation cover is the key factor determining the ecological service function. The impact of GDP and population on the ecological service functions is also large, which indicates that with the acceleration of urbanization, the ecological service function of the research area has been negatively affected. Changes in ecological services and ecological restoration functions are significant for local sustainable development.
abstractGer	In response to the needs of national ecological construction, especially the construction of high-quality marine space and reasonable use of the marine environment, Pingtan Island as a demonstration area of China's environmental construction, this study evaluates the quality of its ecological environment, which provides reference for the protection of the future ecological environment. In this study, CASA (Carnegie-ames-stanford approach), RUSLE (Revised universal soil loss equation) and InVEST (Integrated valuation of ecosystem services and trade-offs) models were selected for ecological environment assessment in the Pingtan Island. The NPP (Net primary productivity) calculated by CASA model, soil erosion data calculated by RUSLE and habitat quality, total carbon, water yield, and sediment delivery ratio calculated by InVEST model showed that the ecological environment quality and ecological service function of the study area had a weakening trend from 2000 to 2010. In particular, there was a tendency to weaken the water yield and sediment delivery ratio in the Pingtan Island between 2000 and 2010. The weakening trend during 2010 and 2020 was much higher than that during 2000 and 2010. The main influencing factor of each ecological service function is NDVI, which indicates that the degree of vegetation cover is the key factor determining the ecological service function. The impact of GDP and population on the ecological service functions is also large, which indicates that with the acceleration of urbanization, the ecological service function of the research area has been negatively affected. Changes in ecological services and ecological restoration functions are significant for local sustainable development.
abstract_unstemmed	In response to the needs of national ecological construction, especially the construction of high-quality marine space and reasonable use of the marine environment, Pingtan Island as a demonstration area of China's environmental construction, this study evaluates the quality of its ecological environment, which provides reference for the protection of the future ecological environment. In this study, CASA (Carnegie-ames-stanford approach), RUSLE (Revised universal soil loss equation) and InVEST (Integrated valuation of ecosystem services and trade-offs) models were selected for ecological environment assessment in the Pingtan Island. The NPP (Net primary productivity) calculated by CASA model, soil erosion data calculated by RUSLE and habitat quality, total carbon, water yield, and sediment delivery ratio calculated by InVEST model showed that the ecological environment quality and ecological service function of the study area had a weakening trend from 2000 to 2010. In particular, there was a tendency to weaken the water yield and sediment delivery ratio in the Pingtan Island between 2000 and 2010. The weakening trend during 2010 and 2020 was much higher than that during 2000 and 2010. The main influencing factor of each ecological service function is NDVI, which indicates that the degree of vegetation cover is the key factor determining the ecological service function. The impact of GDP and population on the ecological service functions is also large, which indicates that with the acceleration of urbanization, the ecological service function of the research area has been negatively affected. Changes in ecological services and ecological restoration functions are significant for local sustainable development.
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title_short	Monitoring of spatiotemporal changes in ecosystem service functions and analysis of influencing factors in Pingtan Island
url	https://doi.org/10.1016/j.ecolind.2024.111590 https://doaj.org/article/0afee0a5267a4d2ba5c4c90f2d6800d8 http://www.sciencedirect.com/science/article/pii/S1470160X24000475 https://doaj.org/toc/1470-160X
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