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...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , , , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2022
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs14040839 |
id |
ftmdpi:oai:mdpi.com:/2072-4292/14/4/839/ |
---|---|
record_format |
openpolar |
spelling |
ftmdpi:oai:mdpi.com:/2072-4292/14/4/839/ 2023-08-20T04:10:14+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 agris 2022-02-10 application/pdf https://doi.org/10.3390/rs14040839 EN eng Multidisciplinary Digital Publishing Institute Urban Remote Sensing https://dx.doi.org/10.3390/rs14040839 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 4; Pages: 839 fractional vegetation cover urbanization climate change vegetation change Text 2022 ftmdpi https://doi.org/10.3390/rs14040839 2023-08-01T04:07:16Z 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 CO2 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 CO2, 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 CO2 were the major factors that affected FVC change. The average contributions of climate factors, CO2, 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. Text Tundra MDPI Open Access Publishing Remote Sensing 14 4 839 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
fractional vegetation cover urbanization climate change vegetation change |
spellingShingle |
fractional vegetation cover urbanization climate change vegetation change 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 |
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 CO2 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 CO2, 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 CO2 were the major factors that affected FVC change. The average contributions of climate factors, CO2, 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 |
Text |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14040839 |
op_coverage |
agris |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
Remote Sensing; Volume 14; Issue 4; Pages: 839 |
op_relation |
Urban Remote Sensing https://dx.doi.org/10.3390/rs14040839 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs14040839 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
4 |
container_start_page |
839 |
_version_ |
1774724278341599232 |