Vegetation Cover Change and Its Attribution in China from 2001 to 2018

It is confirmed that China has been greening over the last two decades. Such greening and its driving factors are therefore significant for understanding the relationship between vegetation and environments. However, studies on vegetation changes and attribution analyses at the national scale are li...
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Autor*in:	Baohui Mu [verfasserIn] Xiang Zhao [verfasserIn] Donghai Wu [verfasserIn] Xinyan Wang [verfasserIn] Jiacheng Zhao [verfasserIn] Haoyu Wang [verfasserIn] Qian Zhou [verfasserIn] Xiaozheng Du [verfasserIn] Naijing Liu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	fractional vegetation cover climate change land cover change vegetation change

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 13(2021), 3, p 496
Übergeordnetes Werk:	volume:13 ; year:2021 ; number:3, p 496

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs13030496

Katalog-ID:	DOAJ018622011

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allfields	10.3390/rs13030496 doi (DE-627)DOAJ018622011 (DE-599)DOAJ4fdc11326f0f4a6eb289bce412996601 DE-627 ger DE-627 rakwb eng Baohui Mu verfasserin aut Vegetation Cover Change and Its Attribution in China from 2001 to 2018 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is confirmed that China has been greening over the last two decades. Such greening and its driving factors are therefore significant for understanding the relationship between vegetation and environments. However, studies on vegetation changes and attribution analyses at the national scale are limited in China after 2000. In this study, fractional vegetation cover (FVC) data from Global Land Surface Satellite (GLASS) was used to detect vegetation change trends from 2001 to 2018, and the effects of CO<sub<2</sub<, temperature, shortwave radiation, precipitation, and land cover change (LCC) on FVC changes were quantified using generalized linear models (GLM). The results showed that (1) FVC in China increased by 14% from 2001 to 2018 with a greening rate of approximately 0.0019/year (<i<p</i< < 0.01), which showed an apparent greening trend. (2) On the whole, CO<sub<2</sub<, climate-related factors, and LCC accounted for 88% of FVC changes in China, and the drivers explained 82%, 89%, 90%, and 89% of the FVC changes in the Qinghai–Tibet region, northwest region, northern region, and southern region, respectively. CO<sub<2</sub< was the major driving factor for FVC changes, accounting for 31% of FVC changes in China, indicating that CO<sub<2</sub< was an essential factor in vegetation growth research. (3) The statistical results of pixels with land cover changes showed that LCC explained 12% of FVC changes, LCC has played a relatively important role and this phenomenon may be related to the ecological restoration projects. This study enriches the study of vegetation changes and its driving factors, and quantitatively describes the response relationship between vegetation and its driving factors. The results have an important significance for adjusting terrestrial ecosystem services. fractional vegetation cover climate change land cover change vegetation change Science Q Xiang Zhao verfasserin aut Donghai Wu verfasserin aut Xinyan Wang verfasserin aut Jiacheng Zhao verfasserin aut Haoyu Wang verfasserin aut Qian Zhou verfasserin aut Xiaozheng Du verfasserin aut Naijing Liu verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 3, p 496 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:3, p 496 https://doi.org/10.3390/rs13030496 kostenfrei https://doaj.org/article/4fdc11326f0f4a6eb289bce412996601 kostenfrei https://www.mdpi.com/2072-4292/13/3/496 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 3, p 496
spelling	10.3390/rs13030496 doi (DE-627)DOAJ018622011 (DE-599)DOAJ4fdc11326f0f4a6eb289bce412996601 DE-627 ger DE-627 rakwb eng Baohui Mu verfasserin aut Vegetation Cover Change and Its Attribution in China from 2001 to 2018 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is confirmed that China has been greening over the last two decades. Such greening and its driving factors are therefore significant for understanding the relationship between vegetation and environments. However, studies on vegetation changes and attribution analyses at the national scale are limited in China after 2000. In this study, fractional vegetation cover (FVC) data from Global Land Surface Satellite (GLASS) was used to detect vegetation change trends from 2001 to 2018, and the effects of CO<sub<2</sub<, temperature, shortwave radiation, precipitation, and land cover change (LCC) on FVC changes were quantified using generalized linear models (GLM). The results showed that (1) FVC in China increased by 14% from 2001 to 2018 with a greening rate of approximately 0.0019/year (<i<p</i< < 0.01), which showed an apparent greening trend. (2) On the whole, CO<sub<2</sub<, climate-related factors, and LCC accounted for 88% of FVC changes in China, and the drivers explained 82%, 89%, 90%, and 89% of the FVC changes in the Qinghai–Tibet region, northwest region, northern region, and southern region, respectively. CO<sub<2</sub< was the major driving factor for FVC changes, accounting for 31% of FVC changes in China, indicating that CO<sub<2</sub< was an essential factor in vegetation growth research. (3) The statistical results of pixels with land cover changes showed that LCC explained 12% of FVC changes, LCC has played a relatively important role and this phenomenon may be related to the ecological restoration projects. This study enriches the study of vegetation changes and its driving factors, and quantitatively describes the response relationship between vegetation and its driving factors. The results have an important significance for adjusting terrestrial ecosystem services. fractional vegetation cover climate change land cover change vegetation change Science Q Xiang Zhao verfasserin aut Donghai Wu verfasserin aut Xinyan Wang verfasserin aut Jiacheng Zhao verfasserin aut Haoyu Wang verfasserin aut Qian Zhou verfasserin aut Xiaozheng Du verfasserin aut Naijing Liu verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 3, p 496 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:3, p 496 https://doi.org/10.3390/rs13030496 kostenfrei https://doaj.org/article/4fdc11326f0f4a6eb289bce412996601 kostenfrei https://www.mdpi.com/2072-4292/13/3/496 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 3, p 496
allfields_unstemmed	10.3390/rs13030496 doi (DE-627)DOAJ018622011 (DE-599)DOAJ4fdc11326f0f4a6eb289bce412996601 DE-627 ger DE-627 rakwb eng Baohui Mu verfasserin aut Vegetation Cover Change and Its Attribution in China from 2001 to 2018 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is confirmed that China has been greening over the last two decades. Such greening and its driving factors are therefore significant for understanding the relationship between vegetation and environments. However, studies on vegetation changes and attribution analyses at the national scale are limited in China after 2000. In this study, fractional vegetation cover (FVC) data from Global Land Surface Satellite (GLASS) was used to detect vegetation change trends from 2001 to 2018, and the effects of CO<sub<2</sub<, temperature, shortwave radiation, precipitation, and land cover change (LCC) on FVC changes were quantified using generalized linear models (GLM). The results showed that (1) FVC in China increased by 14% from 2001 to 2018 with a greening rate of approximately 0.0019/year (<i<p</i< < 0.01), which showed an apparent greening trend. (2) On the whole, CO<sub<2</sub<, climate-related factors, and LCC accounted for 88% of FVC changes in China, and the drivers explained 82%, 89%, 90%, and 89% of the FVC changes in the Qinghai–Tibet region, northwest region, northern region, and southern region, respectively. CO<sub<2</sub< was the major driving factor for FVC changes, accounting for 31% of FVC changes in China, indicating that CO<sub<2</sub< was an essential factor in vegetation growth research. (3) The statistical results of pixels with land cover changes showed that LCC explained 12% of FVC changes, LCC has played a relatively important role and this phenomenon may be related to the ecological restoration projects. This study enriches the study of vegetation changes and its driving factors, and quantitatively describes the response relationship between vegetation and its driving factors. The results have an important significance for adjusting terrestrial ecosystem services. fractional vegetation cover climate change land cover change vegetation change Science Q Xiang Zhao verfasserin aut Donghai Wu verfasserin aut Xinyan Wang verfasserin aut Jiacheng Zhao verfasserin aut Haoyu Wang verfasserin aut Qian Zhou verfasserin aut Xiaozheng Du verfasserin aut Naijing Liu verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 3, p 496 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:3, p 496 https://doi.org/10.3390/rs13030496 kostenfrei https://doaj.org/article/4fdc11326f0f4a6eb289bce412996601 kostenfrei https://www.mdpi.com/2072-4292/13/3/496 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 3, p 496
allfieldsGer	10.3390/rs13030496 doi (DE-627)DOAJ018622011 (DE-599)DOAJ4fdc11326f0f4a6eb289bce412996601 DE-627 ger DE-627 rakwb eng Baohui Mu verfasserin aut Vegetation Cover Change and Its Attribution in China from 2001 to 2018 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is confirmed that China has been greening over the last two decades. Such greening and its driving factors are therefore significant for understanding the relationship between vegetation and environments. However, studies on vegetation changes and attribution analyses at the national scale are limited in China after 2000. In this study, fractional vegetation cover (FVC) data from Global Land Surface Satellite (GLASS) was used to detect vegetation change trends from 2001 to 2018, and the effects of CO<sub<2</sub<, temperature, shortwave radiation, precipitation, and land cover change (LCC) on FVC changes were quantified using generalized linear models (GLM). The results showed that (1) FVC in China increased by 14% from 2001 to 2018 with a greening rate of approximately 0.0019/year (<i<p</i< < 0.01), which showed an apparent greening trend. (2) On the whole, CO<sub<2</sub<, climate-related factors, and LCC accounted for 88% of FVC changes in China, and the drivers explained 82%, 89%, 90%, and 89% of the FVC changes in the Qinghai–Tibet region, northwest region, northern region, and southern region, respectively. CO<sub<2</sub< was the major driving factor for FVC changes, accounting for 31% of FVC changes in China, indicating that CO<sub<2</sub< was an essential factor in vegetation growth research. (3) The statistical results of pixels with land cover changes showed that LCC explained 12% of FVC changes, LCC has played a relatively important role and this phenomenon may be related to the ecological restoration projects. This study enriches the study of vegetation changes and its driving factors, and quantitatively describes the response relationship between vegetation and its driving factors. The results have an important significance for adjusting terrestrial ecosystem services. fractional vegetation cover climate change land cover change vegetation change Science Q Xiang Zhao verfasserin aut Donghai Wu verfasserin aut Xinyan Wang verfasserin aut Jiacheng Zhao verfasserin aut Haoyu Wang verfasserin aut Qian Zhou verfasserin aut Xiaozheng Du verfasserin aut Naijing Liu verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 3, p 496 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:3, p 496 https://doi.org/10.3390/rs13030496 kostenfrei https://doaj.org/article/4fdc11326f0f4a6eb289bce412996601 kostenfrei https://www.mdpi.com/2072-4292/13/3/496 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 3, p 496
allfieldsSound	10.3390/rs13030496 doi (DE-627)DOAJ018622011 (DE-599)DOAJ4fdc11326f0f4a6eb289bce412996601 DE-627 ger DE-627 rakwb eng Baohui Mu verfasserin aut Vegetation Cover Change and Its Attribution in China from 2001 to 2018 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is confirmed that China has been greening over the last two decades. Such greening and its driving factors are therefore significant for understanding the relationship between vegetation and environments. However, studies on vegetation changes and attribution analyses at the national scale are limited in China after 2000. In this study, fractional vegetation cover (FVC) data from Global Land Surface Satellite (GLASS) was used to detect vegetation change trends from 2001 to 2018, and the effects of CO<sub<2</sub<, temperature, shortwave radiation, precipitation, and land cover change (LCC) on FVC changes were quantified using generalized linear models (GLM). The results showed that (1) FVC in China increased by 14% from 2001 to 2018 with a greening rate of approximately 0.0019/year (<i<p</i< < 0.01), which showed an apparent greening trend. (2) On the whole, CO<sub<2</sub<, climate-related factors, and LCC accounted for 88% of FVC changes in China, and the drivers explained 82%, 89%, 90%, and 89% of the FVC changes in the Qinghai–Tibet region, northwest region, northern region, and southern region, respectively. CO<sub<2</sub< was the major driving factor for FVC changes, accounting for 31% of FVC changes in China, indicating that CO<sub<2</sub< was an essential factor in vegetation growth research. (3) The statistical results of pixels with land cover changes showed that LCC explained 12% of FVC changes, LCC has played a relatively important role and this phenomenon may be related to the ecological restoration projects. This study enriches the study of vegetation changes and its driving factors, and quantitatively describes the response relationship between vegetation and its driving factors. The results have an important significance for adjusting terrestrial ecosystem services. fractional vegetation cover climate change land cover change vegetation change Science Q Xiang Zhao verfasserin aut Donghai Wu verfasserin aut Xinyan Wang verfasserin aut Jiacheng Zhao verfasserin aut Haoyu Wang verfasserin aut Qian Zhou verfasserin aut Xiaozheng Du verfasserin aut Naijing Liu verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 3, p 496 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:3, p 496 https://doi.org/10.3390/rs13030496 kostenfrei https://doaj.org/article/4fdc11326f0f4a6eb289bce412996601 kostenfrei https://www.mdpi.com/2072-4292/13/3/496 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 3, p 496
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title_sort	vegetation cover change and its attribution in china from 2001 to 2018
title_auth	Vegetation Cover Change and Its Attribution in China from 2001 to 2018
abstract	It is confirmed that China has been greening over the last two decades. Such greening and its driving factors are therefore significant for understanding the relationship between vegetation and environments. However, studies on vegetation changes and attribution analyses at the national scale are limited in China after 2000. In this study, fractional vegetation cover (FVC) data from Global Land Surface Satellite (GLASS) was used to detect vegetation change trends from 2001 to 2018, and the effects of CO<sub<2</sub<, temperature, shortwave radiation, precipitation, and land cover change (LCC) on FVC changes were quantified using generalized linear models (GLM). The results showed that (1) FVC in China increased by 14% from 2001 to 2018 with a greening rate of approximately 0.0019/year (<i<p</i< < 0.01), which showed an apparent greening trend. (2) On the whole, CO<sub<2</sub<, climate-related factors, and LCC accounted for 88% of FVC changes in China, and the drivers explained 82%, 89%, 90%, and 89% of the FVC changes in the Qinghai–Tibet region, northwest region, northern region, and southern region, respectively. CO<sub<2</sub< was the major driving factor for FVC changes, accounting for 31% of FVC changes in China, indicating that CO<sub<2</sub< was an essential factor in vegetation growth research. (3) The statistical results of pixels with land cover changes showed that LCC explained 12% of FVC changes, LCC has played a relatively important role and this phenomenon may be related to the ecological restoration projects. This study enriches the study of vegetation changes and its driving factors, and quantitatively describes the response relationship between vegetation and its driving factors. The results have an important significance for adjusting terrestrial ecosystem services.
abstractGer	It is confirmed that China has been greening over the last two decades. Such greening and its driving factors are therefore significant for understanding the relationship between vegetation and environments. However, studies on vegetation changes and attribution analyses at the national scale are limited in China after 2000. In this study, fractional vegetation cover (FVC) data from Global Land Surface Satellite (GLASS) was used to detect vegetation change trends from 2001 to 2018, and the effects of CO<sub<2</sub<, temperature, shortwave radiation, precipitation, and land cover change (LCC) on FVC changes were quantified using generalized linear models (GLM). The results showed that (1) FVC in China increased by 14% from 2001 to 2018 with a greening rate of approximately 0.0019/year (<i<p</i< < 0.01), which showed an apparent greening trend. (2) On the whole, CO<sub<2</sub<, climate-related factors, and LCC accounted for 88% of FVC changes in China, and the drivers explained 82%, 89%, 90%, and 89% of the FVC changes in the Qinghai–Tibet region, northwest region, northern region, and southern region, respectively. CO<sub<2</sub< was the major driving factor for FVC changes, accounting for 31% of FVC changes in China, indicating that CO<sub<2</sub< was an essential factor in vegetation growth research. (3) The statistical results of pixels with land cover changes showed that LCC explained 12% of FVC changes, LCC has played a relatively important role and this phenomenon may be related to the ecological restoration projects. This study enriches the study of vegetation changes and its driving factors, and quantitatively describes the response relationship between vegetation and its driving factors. The results have an important significance for adjusting terrestrial ecosystem services.
abstract_unstemmed	It is confirmed that China has been greening over the last two decades. Such greening and its driving factors are therefore significant for understanding the relationship between vegetation and environments. However, studies on vegetation changes and attribution analyses at the national scale are limited in China after 2000. In this study, fractional vegetation cover (FVC) data from Global Land Surface Satellite (GLASS) was used to detect vegetation change trends from 2001 to 2018, and the effects of CO<sub<2</sub<, temperature, shortwave radiation, precipitation, and land cover change (LCC) on FVC changes were quantified using generalized linear models (GLM). The results showed that (1) FVC in China increased by 14% from 2001 to 2018 with a greening rate of approximately 0.0019/year (<i<p</i< < 0.01), which showed an apparent greening trend. (2) On the whole, CO<sub<2</sub<, climate-related factors, and LCC accounted for 88% of FVC changes in China, and the drivers explained 82%, 89%, 90%, and 89% of the FVC changes in the Qinghai–Tibet region, northwest region, northern region, and southern region, respectively. CO<sub<2</sub< was the major driving factor for FVC changes, accounting for 31% of FVC changes in China, indicating that CO<sub<2</sub< was an essential factor in vegetation growth research. (3) The statistical results of pixels with land cover changes showed that LCC explained 12% of FVC changes, LCC has played a relatively important role and this phenomenon may be related to the ecological restoration projects. This study enriches the study of vegetation changes and its driving factors, and quantitatively describes the response relationship between vegetation and its driving factors. The results have an important significance for adjusting terrestrial ecosystem services.
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container_issue	3, p 496
title_short	Vegetation Cover Change and Its Attribution in China from 2001 to 2018
url	https://doi.org/10.3390/rs13030496 https://doaj.org/article/4fdc11326f0f4a6eb289bce412996601 https://www.mdpi.com/2072-4292/13/3/496 https://doaj.org/toc/2072-4292
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author2	Xiang Zhao Donghai Wu Xinyan Wang Jiacheng Zhao Haoyu Wang Qian Zhou Xiaozheng Du Naijing Liu
author2Str	Xiang Zhao Donghai Wu Xinyan Wang Jiacheng Zhao Haoyu Wang Qian Zhou Xiaozheng Du Naijing Liu
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up_date	2024-07-03T18:58:02.862Z
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