Study on the influence of meteorological elements on growing season vegetation coverage in Xinjiang, China
Xinjiang is a typical arid and semi-arid Mountain basin system, which make the regional ecosystem extremely fragile. Studying the influence of climate on vegetation is conducive to qualitatively analyze the change trend of vegetation coverage in this region. Therefore, utilizing vegetation coverage...
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| Format: | Article |
| Language: | English |
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AIMS Press
2022-07-01
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| Series: | Electronic Research Archive |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/era.2022177?viewType=HTML |
| _version_ | 1811330244603281408 |
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| author | Huimin Bai Li Li Yongping Wu Chen Liu Zhiqiang Gong Guolin Feng Gui-Quan Sun |
| author_facet | Huimin Bai Li Li Yongping Wu Chen Liu Zhiqiang Gong Guolin Feng Gui-Quan Sun |
| author_sort | Huimin Bai |
| collection | DOAJ |
| description | Xinjiang is a typical arid and semi-arid Mountain basin system, which make the regional ecosystem extremely fragile. Studying the influence of climate on vegetation is conducive to qualitatively analyze the change trend of vegetation coverage in this region. Therefore, utilizing vegetation coverage and main meteorological elements (temperature, precipitation, relative humidity, sunshine hours) data in Xinjiang province, this paper carried out the influence of multiple meteorological elements on vegetation coverage changes, and constructed a model of the impact of multiple meteorological elements on the growing season vegetation coverage based on random forest. The model can better simulate the vegetation coverage in 2017 and 2018, with an average error of 0.027, in consequence it can well forecast whether the vegetation is high-density or low-density in this area. Correlation analysis and variable importance show that the critical meteorological factors affecting vegetation cover change are relative humidity and sunshine hours, accounting for 73% of the vegetation coverage area. The results are helpful to understand how meteorological factors affect the vegetation coverage, and then provide a theoretical reference for the construction of ecological security in Xinjiang. |
| first_indexed | 2024-04-13T15:58:26Z |
| format | Article |
| id | doaj.art-f2d4985dc522455fb7253593d07b81a4 |
| institution | Directory Open Access Journal |
| issn | 2688-1594 |
| language | English |
| last_indexed | 2024-04-13T15:58:26Z |
| publishDate | 2022-07-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Electronic Research Archive |
| spelling | doaj.art-f2d4985dc522455fb7253593d07b81a42022-12-22T02:40:36ZengAIMS PressElectronic Research Archive2688-15942022-07-013093463348010.3934/era.2022177Study on the influence of meteorological elements on growing season vegetation coverage in Xinjiang, ChinaHuimin Bai 0Li Li 1Yongping Wu2Chen Liu 3Zhiqiang Gong4Guolin Feng 5Gui-Quan Sun61. Complex Systems Research Center, Shanxi University, Taiyuan, Shanxi, China2. School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi, China3. College of Physics Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China4. Center for Ecology and Environmental Sciences, Northwestern Polytechnical University, Xi'an, Shaanxi, China5. Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing, China3. College of Physics Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China5. Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing, China1. Complex Systems Research Center, Shanxi University, Taiyuan, Shanxi, China6. Department of Mathematics, North University of China, Taiyuan, Shanxi, ChinaXinjiang is a typical arid and semi-arid Mountain basin system, which make the regional ecosystem extremely fragile. Studying the influence of climate on vegetation is conducive to qualitatively analyze the change trend of vegetation coverage in this region. Therefore, utilizing vegetation coverage and main meteorological elements (temperature, precipitation, relative humidity, sunshine hours) data in Xinjiang province, this paper carried out the influence of multiple meteorological elements on vegetation coverage changes, and constructed a model of the impact of multiple meteorological elements on the growing season vegetation coverage based on random forest. The model can better simulate the vegetation coverage in 2017 and 2018, with an average error of 0.027, in consequence it can well forecast whether the vegetation is high-density or low-density in this area. Correlation analysis and variable importance show that the critical meteorological factors affecting vegetation cover change are relative humidity and sunshine hours, accounting for 73% of the vegetation coverage area. The results are helpful to understand how meteorological factors affect the vegetation coverage, and then provide a theoretical reference for the construction of ecological security in Xinjiang.https://www.aimspress.com/article/doi/10.3934/era.2022177?viewType=HTMLvegetationarid and semi-arid regionclimate changemachine learning |
| spellingShingle | Huimin Bai Li Li Yongping Wu Chen Liu Zhiqiang Gong Guolin Feng Gui-Quan Sun Study on the influence of meteorological elements on growing season vegetation coverage in Xinjiang, China Electronic Research Archive vegetation arid and semi-arid region climate change machine learning |
| title | Study on the influence of meteorological elements on growing season vegetation coverage in Xinjiang, China |
| title_full | Study on the influence of meteorological elements on growing season vegetation coverage in Xinjiang, China |
| title_fullStr | Study on the influence of meteorological elements on growing season vegetation coverage in Xinjiang, China |
| title_full_unstemmed | Study on the influence of meteorological elements on growing season vegetation coverage in Xinjiang, China |
| title_short | Study on the influence of meteorological elements on growing season vegetation coverage in Xinjiang, China |
| title_sort | study on the influence of meteorological elements on growing season vegetation coverage in xinjiang china |
| topic | vegetation arid and semi-arid region climate change machine learning |
| url | https://www.aimspress.com/article/doi/10.3934/era.2022177?viewType=HTML |
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