Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China

Climate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and preci...
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Autor*in:	Leidi Wang [verfasserIn] Fei Hu [verfasserIn] Caiyue Zhang [verfasserIn] Yuchen Miao [verfasserIn] Huilin Chen [verfasserIn] Keyou Zhong [verfasserIn] Mingzhu Luo [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	vegetation dynamics monthly scale climate extremes drought NDVI Guangdong

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 14(2022), 21, p 5369
Übergeordnetes Werk:	volume:14 ; year:2022 ; number:21, p 5369

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs14215369

Katalog-ID:	DOAJ028574672

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520			\|a Climate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and precipitation extremes on a monthly scale in the vegetation area of Guangdong without vegetation type changes from 1982 to 2015. As extreme temperatures rose, a drought trend occurred in most months, with a higher rate in February and April. The vegetation evenly showed a significant greening trend in all months except June and October. The vegetation activity was significantly positively correlated with the increased extreme temperatures in most months. However, it exerted a negative correlation with drought in February, April, May, June, and September, as well as precipitation extremes in February, April, and June. The response of vegetation to drought was the most sensitive in June. The vegetation tended to be more sensitive to short-term droughts (1–2 months) and had no time lag in response to drought. The results are helpful to provide references for ecological management and ecosystem protection.
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spelling	10.3390/rs14215369 doi (DE-627)DOAJ028574672 (DE-599)DOAJ04fc863111ee432a9dc5c2e5035a9c3b DE-627 ger DE-627 rakwb eng Leidi Wang verfasserin aut Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Climate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and precipitation extremes on a monthly scale in the vegetation area of Guangdong without vegetation type changes from 1982 to 2015. As extreme temperatures rose, a drought trend occurred in most months, with a higher rate in February and April. The vegetation evenly showed a significant greening trend in all months except June and October. The vegetation activity was significantly positively correlated with the increased extreme temperatures in most months. However, it exerted a negative correlation with drought in February, April, May, June, and September, as well as precipitation extremes in February, April, and June. The response of vegetation to drought was the most sensitive in June. The vegetation tended to be more sensitive to short-term droughts (1–2 months) and had no time lag in response to drought. The results are helpful to provide references for ecological management and ecosystem protection. vegetation dynamics monthly scale climate extremes drought NDVI Guangdong Science Q Fei Hu verfasserin aut Caiyue Zhang verfasserin aut Yuchen Miao verfasserin aut Huilin Chen verfasserin aut Keyou Zhong verfasserin aut Mingzhu Luo verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 21, p 5369 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:21, p 5369 https://doi.org/10.3390/rs14215369 kostenfrei https://doaj.org/article/04fc863111ee432a9dc5c2e5035a9c3b kostenfrei https://www.mdpi.com/2072-4292/14/21/5369 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 14 2022 21, p 5369
allfields_unstemmed	10.3390/rs14215369 doi (DE-627)DOAJ028574672 (DE-599)DOAJ04fc863111ee432a9dc5c2e5035a9c3b DE-627 ger DE-627 rakwb eng Leidi Wang verfasserin aut Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Climate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and precipitation extremes on a monthly scale in the vegetation area of Guangdong without vegetation type changes from 1982 to 2015. As extreme temperatures rose, a drought trend occurred in most months, with a higher rate in February and April. The vegetation evenly showed a significant greening trend in all months except June and October. The vegetation activity was significantly positively correlated with the increased extreme temperatures in most months. However, it exerted a negative correlation with drought in February, April, May, June, and September, as well as precipitation extremes in February, April, and June. The response of vegetation to drought was the most sensitive in June. The vegetation tended to be more sensitive to short-term droughts (1–2 months) and had no time lag in response to drought. The results are helpful to provide references for ecological management and ecosystem protection. vegetation dynamics monthly scale climate extremes drought NDVI Guangdong Science Q Fei Hu verfasserin aut Caiyue Zhang verfasserin aut Yuchen Miao verfasserin aut Huilin Chen verfasserin aut Keyou Zhong verfasserin aut Mingzhu Luo verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 21, p 5369 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:21, p 5369 https://doi.org/10.3390/rs14215369 kostenfrei https://doaj.org/article/04fc863111ee432a9dc5c2e5035a9c3b kostenfrei https://www.mdpi.com/2072-4292/14/21/5369 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 14 2022 21, p 5369
allfieldsGer	10.3390/rs14215369 doi (DE-627)DOAJ028574672 (DE-599)DOAJ04fc863111ee432a9dc5c2e5035a9c3b DE-627 ger DE-627 rakwb eng Leidi Wang verfasserin aut Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Climate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and precipitation extremes on a monthly scale in the vegetation area of Guangdong without vegetation type changes from 1982 to 2015. As extreme temperatures rose, a drought trend occurred in most months, with a higher rate in February and April. The vegetation evenly showed a significant greening trend in all months except June and October. The vegetation activity was significantly positively correlated with the increased extreme temperatures in most months. However, it exerted a negative correlation with drought in February, April, May, June, and September, as well as precipitation extremes in February, April, and June. The response of vegetation to drought was the most sensitive in June. The vegetation tended to be more sensitive to short-term droughts (1–2 months) and had no time lag in response to drought. The results are helpful to provide references for ecological management and ecosystem protection. vegetation dynamics monthly scale climate extremes drought NDVI Guangdong Science Q Fei Hu verfasserin aut Caiyue Zhang verfasserin aut Yuchen Miao verfasserin aut Huilin Chen verfasserin aut Keyou Zhong verfasserin aut Mingzhu Luo verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 21, p 5369 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:21, p 5369 https://doi.org/10.3390/rs14215369 kostenfrei https://doaj.org/article/04fc863111ee432a9dc5c2e5035a9c3b kostenfrei https://www.mdpi.com/2072-4292/14/21/5369 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 14 2022 21, p 5369
allfieldsSound	10.3390/rs14215369 doi (DE-627)DOAJ028574672 (DE-599)DOAJ04fc863111ee432a9dc5c2e5035a9c3b DE-627 ger DE-627 rakwb eng Leidi Wang verfasserin aut Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Climate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and precipitation extremes on a monthly scale in the vegetation area of Guangdong without vegetation type changes from 1982 to 2015. As extreme temperatures rose, a drought trend occurred in most months, with a higher rate in February and April. The vegetation evenly showed a significant greening trend in all months except June and October. The vegetation activity was significantly positively correlated with the increased extreme temperatures in most months. However, it exerted a negative correlation with drought in February, April, May, June, and September, as well as precipitation extremes in February, April, and June. The response of vegetation to drought was the most sensitive in June. The vegetation tended to be more sensitive to short-term droughts (1–2 months) and had no time lag in response to drought. The results are helpful to provide references for ecological management and ecosystem protection. vegetation dynamics monthly scale climate extremes drought NDVI Guangdong Science Q Fei Hu verfasserin aut Caiyue Zhang verfasserin aut Yuchen Miao verfasserin aut Huilin Chen verfasserin aut Keyou Zhong verfasserin aut Mingzhu Luo verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 21, p 5369 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:21, p 5369 https://doi.org/10.3390/rs14215369 kostenfrei https://doaj.org/article/04fc863111ee432a9dc5c2e5035a9c3b kostenfrei https://www.mdpi.com/2072-4292/14/21/5369 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 14 2022 21, p 5369
language	English
source	In Remote Sensing 14(2022), 21, p 5369 volume:14 year:2022 number:21, p 5369
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authorswithroles_txt_mv	Leidi Wang @@aut@@ Fei Hu @@aut@@ Caiyue Zhang @@aut@@ Yuchen Miao @@aut@@ Huilin Chen @@aut@@ Keyou Zhong @@aut@@ Mingzhu Luo @@aut@@
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author	Leidi Wang
spellingShingle	Leidi Wang misc vegetation dynamics misc monthly scale misc climate extremes misc drought misc NDVI misc Guangdong misc Science misc Q Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China
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topic_title	Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China vegetation dynamics monthly scale climate extremes drought NDVI Guangdong
topic	misc vegetation dynamics misc monthly scale misc climate extremes misc drought misc NDVI misc Guangdong misc Science misc Q
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title	Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China
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title_sort	response of vegetation to different climate extremes on a monthly scale in guangdong, china
title_auth	Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China
abstract	Climate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and precipitation extremes on a monthly scale in the vegetation area of Guangdong without vegetation type changes from 1982 to 2015. As extreme temperatures rose, a drought trend occurred in most months, with a higher rate in February and April. The vegetation evenly showed a significant greening trend in all months except June and October. The vegetation activity was significantly positively correlated with the increased extreme temperatures in most months. However, it exerted a negative correlation with drought in February, April, May, June, and September, as well as precipitation extremes in February, April, and June. The response of vegetation to drought was the most sensitive in June. The vegetation tended to be more sensitive to short-term droughts (1–2 months) and had no time lag in response to drought. The results are helpful to provide references for ecological management and ecosystem protection.
abstractGer	Climate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and precipitation extremes on a monthly scale in the vegetation area of Guangdong without vegetation type changes from 1982 to 2015. As extreme temperatures rose, a drought trend occurred in most months, with a higher rate in February and April. The vegetation evenly showed a significant greening trend in all months except June and October. The vegetation activity was significantly positively correlated with the increased extreme temperatures in most months. However, it exerted a negative correlation with drought in February, April, May, June, and September, as well as precipitation extremes in February, April, and June. The response of vegetation to drought was the most sensitive in June. The vegetation tended to be more sensitive to short-term droughts (1–2 months) and had no time lag in response to drought. The results are helpful to provide references for ecological management and ecosystem protection.
abstract_unstemmed	Climate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and precipitation extremes on a monthly scale in the vegetation area of Guangdong without vegetation type changes from 1982 to 2015. As extreme temperatures rose, a drought trend occurred in most months, with a higher rate in February and April. The vegetation evenly showed a significant greening trend in all months except June and October. The vegetation activity was significantly positively correlated with the increased extreme temperatures in most months. However, it exerted a negative correlation with drought in February, April, May, June, and September, as well as precipitation extremes in February, April, and June. The response of vegetation to drought was the most sensitive in June. The vegetation tended to be more sensitive to short-term droughts (1–2 months) and had no time lag in response to drought. The results are helpful to provide references for ecological management and ecosystem protection.
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title_short	Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China
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Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China

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