Changes in Vegetation Greenness and Their Influencing Factors in Southern China
Since the 21st century, China has experienced rapid development, and the spatial and temporal changes in vegetation cover have become increasingly significant. Southern China is a representative region for human activities, climate change, and vegetation change, but the current human understanding o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/14/3291 |
| _version_ | 1797433094379143168 |
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| author | Hao Li Kunxi Li Xiang Zhao Jiacheng Zhao |
| author_facet | Hao Li Kunxi Li Xiang Zhao Jiacheng Zhao |
| author_sort | Hao Li |
| collection | DOAJ |
| description | Since the 21st century, China has experienced rapid development, and the spatial and temporal changes in vegetation cover have become increasingly significant. Southern China is a representative region for human activities, climate change, and vegetation change, but the current human understanding of the interactions between vegetation and its influencing factors is still very limited. In our study, we use NDVI as the vegetation greenness data, land cover data, temperature, precipitation, downgradient shortwave radiation, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>CO</mi><mn>2</mn></msub></semantics></math></inline-formula> data to investigate the interrelationship among vegetation, climate change, and human activities in southern China. The changes and their consistency were studied by trend analysis and Hurst exponent analysis. Then, the contribution of each influencing factor from 2001 to 2020 was quantified by random forest. The results showed that the vegetation in southern China showed an overall rising trend, and areas with a continuous changing trend were concentrated in the Pearl River Delta, western Guangdong, and eastern Guangdong, with a growth rate of 0.02∼0.04%. The vegetation in northern Guangdong did not change significantly. The main factor of NDVI spatial variation in southern China is the land-use factor, accounting for 79.4% of the variation, while climate factors produce further differences. The contributions and lagged effects of NDVI factors on different land-use types and the lagged effects of different climate factors are different and are related to the climate and vegetation background in Sourthern China. Our study is useful in estimating the contribution of NDVI change by each considered factor and formulating environmentally friendly regional development strategies and promoting human–land harmony. |
| first_indexed | 2024-03-09T10:12:14Z |
| format | Article |
| id | doaj.art-2145979485704a0082ac5d649b85a34d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T10:12:14Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-2145979485704a0082ac5d649b85a34d2023-12-01T22:38:34ZengMDPI AGRemote Sensing2072-42922022-07-011414329110.3390/rs14143291Changes in Vegetation Greenness and Their Influencing Factors in Southern ChinaHao Li0Kunxi Li1Xiang Zhao2Jiacheng Zhao3State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geospatial Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geospatial Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geospatial Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geospatial Science, Beijing Normal University, Beijing 100875, ChinaSince the 21st century, China has experienced rapid development, and the spatial and temporal changes in vegetation cover have become increasingly significant. Southern China is a representative region for human activities, climate change, and vegetation change, but the current human understanding of the interactions between vegetation and its influencing factors is still very limited. In our study, we use NDVI as the vegetation greenness data, land cover data, temperature, precipitation, downgradient shortwave radiation, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>CO</mi><mn>2</mn></msub></semantics></math></inline-formula> data to investigate the interrelationship among vegetation, climate change, and human activities in southern China. The changes and their consistency were studied by trend analysis and Hurst exponent analysis. Then, the contribution of each influencing factor from 2001 to 2020 was quantified by random forest. The results showed that the vegetation in southern China showed an overall rising trend, and areas with a continuous changing trend were concentrated in the Pearl River Delta, western Guangdong, and eastern Guangdong, with a growth rate of 0.02∼0.04%. The vegetation in northern Guangdong did not change significantly. The main factor of NDVI spatial variation in southern China is the land-use factor, accounting for 79.4% of the variation, while climate factors produce further differences. The contributions and lagged effects of NDVI factors on different land-use types and the lagged effects of different climate factors are different and are related to the climate and vegetation background in Sourthern China. Our study is useful in estimating the contribution of NDVI change by each considered factor and formulating environmentally friendly regional development strategies and promoting human–land harmony.https://www.mdpi.com/2072-4292/14/14/3291southern ChinaNDVIvegetation variationfactor contribution |
| spellingShingle | Hao Li Kunxi Li Xiang Zhao Jiacheng Zhao Changes in Vegetation Greenness and Their Influencing Factors in Southern China Remote Sensing southern China NDVI vegetation variation factor contribution |
| title | Changes in Vegetation Greenness and Their Influencing Factors in Southern China |
| title_full | Changes in Vegetation Greenness and Their Influencing Factors in Southern China |
| title_fullStr | Changes in Vegetation Greenness and Their Influencing Factors in Southern China |
| title_full_unstemmed | Changes in Vegetation Greenness and Their Influencing Factors in Southern China |
| title_short | Changes in Vegetation Greenness and Their Influencing Factors in Southern China |
| title_sort | changes in vegetation greenness and their influencing factors in southern china |
| topic | southern China NDVI vegetation variation factor contribution |
| url | https://www.mdpi.com/2072-4292/14/14/3291 |
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