Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities
After 2000, China’s vegetation underwent great changes associated with climate change and urbanization. Although many studies have been conducted to quantify the contributions of climate and human activities to vegetation, few studies have quantitatively examined the comprehensive contributions of c...
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ftdoajarticles:oai:doaj.org/article:59d92e30cc8049d9a1b9704ba7fcd23d 2023-05-15T18:40:33+02:00 Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities Baohui Mu Xiang Zhao Jiacheng Zhao Naijing Liu Longping Si Qian Wang Na Sun Mengmeng Sun Yinkun Guo Siqing Zhao 2022-02-01T00:00:00Z https://doi.org/10.3390/rs14040839 https://doaj.org/article/59d92e30cc8049d9a1b9704ba7fcd23d EN eng MDPI AG https://www.mdpi.com/2072-4292/14/4/839 https://doaj.org/toc/2072-4292 doi:10.3390/rs14040839 2072-4292 https://doaj.org/article/59d92e30cc8049d9a1b9704ba7fcd23d Remote Sensing, Vol 14, Iss 839, p 839 (2022) fractional vegetation cover urbanization climate change vegetation change Science Q article 2022 ftdoajarticles https://doi.org/10.3390/rs14040839 2022-12-31T00:55:26Z After 2000, China’s vegetation underwent great changes associated with climate change and urbanization. Although many studies have been conducted to quantify the contributions of climate and human activities to vegetation, few studies have quantitatively examined the comprehensive contributions of climate, urbanization, and CO 2 to vegetation in China’s 32 major cities. In this study, using Global Land Surface Satellite (GLASS) fractional vegetation cover (FVC) between 2001 and 2018, we investigated the trend of FVC in China’s 32 major cities and quantified the effects of CO 2 , urbanization, and climate by using generalized linear models (GLMs). We found the following: (1) From 2001 to 2018, the FVC in China generally illustrated an increasing trend, although it decreased in 23 and 21 cities in the core area and expansion area, respectively. (2) Night light data showed that the urban expansion increased to varying degrees, with an average increasing ratio of approximately 168%. The artificial surface area increased significantly, mainly from cropland, forest, grassland, and tundra. (3) Climate factors and CO 2 were the major factors that affected FVC change. The average contributions of climate factors, CO 2 , and urbanization were 40.6%, 39.2%, and 10.6%, respectively. This study enriched the understanding of vegetation cover change and its influencing factors, helped to explain the complex biophysical mechanism between vegetation and environment, and guided sustainable urban development. Article in Journal/Newspaper Tundra Directory of Open Access Journals: DOAJ Articles Remote Sensing 14 4 839 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
fractional vegetation cover urbanization climate change vegetation change Science Q |
spellingShingle |
fractional vegetation cover urbanization climate change vegetation change Science Q Baohui Mu Xiang Zhao Jiacheng Zhao Naijing Liu Longping Si Qian Wang Na Sun Mengmeng Sun Yinkun Guo Siqing Zhao Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities |
topic_facet |
fractional vegetation cover urbanization climate change vegetation change Science Q |
description |
After 2000, China’s vegetation underwent great changes associated with climate change and urbanization. Although many studies have been conducted to quantify the contributions of climate and human activities to vegetation, few studies have quantitatively examined the comprehensive contributions of climate, urbanization, and CO 2 to vegetation in China’s 32 major cities. In this study, using Global Land Surface Satellite (GLASS) fractional vegetation cover (FVC) between 2001 and 2018, we investigated the trend of FVC in China’s 32 major cities and quantified the effects of CO 2 , urbanization, and climate by using generalized linear models (GLMs). We found the following: (1) From 2001 to 2018, the FVC in China generally illustrated an increasing trend, although it decreased in 23 and 21 cities in the core area and expansion area, respectively. (2) Night light data showed that the urban expansion increased to varying degrees, with an average increasing ratio of approximately 168%. The artificial surface area increased significantly, mainly from cropland, forest, grassland, and tundra. (3) Climate factors and CO 2 were the major factors that affected FVC change. The average contributions of climate factors, CO 2 , and urbanization were 40.6%, 39.2%, and 10.6%, respectively. This study enriched the understanding of vegetation cover change and its influencing factors, helped to explain the complex biophysical mechanism between vegetation and environment, and guided sustainable urban development. |
format |
Article in Journal/Newspaper |
author |
Baohui Mu Xiang Zhao Jiacheng Zhao Naijing Liu Longping Si Qian Wang Na Sun Mengmeng Sun Yinkun Guo Siqing Zhao |
author_facet |
Baohui Mu Xiang Zhao Jiacheng Zhao Naijing Liu Longping Si Qian Wang Na Sun Mengmeng Sun Yinkun Guo Siqing Zhao |
author_sort |
Baohui Mu |
title |
Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities |
title_short |
Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities |
title_full |
Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities |
title_fullStr |
Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities |
title_full_unstemmed |
Quantitatively Assessing the Impact of Driving Factors on Vegetation Cover Change in China’s 32 Major Cities |
title_sort |
quantitatively assessing the impact of driving factors on vegetation cover change in china’s 32 major cities |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14040839 https://doaj.org/article/59d92e30cc8049d9a1b9704ba7fcd23d |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
Remote Sensing, Vol 14, Iss 839, p 839 (2022) |
op_relation |
https://www.mdpi.com/2072-4292/14/4/839 https://doaj.org/toc/2072-4292 doi:10.3390/rs14040839 2072-4292 https://doaj.org/article/59d92e30cc8049d9a1b9704ba7fcd23d |
op_doi |
https://doi.org/10.3390/rs14040839 |
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Remote Sensing |
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14 |
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4 |
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839 |
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1766229925080072192 |