Study on the influence of meteorological elements on growing season vegetation coverage in Xinjiang, China

Huimin Bai; Li Li; Yongping Wu; Chen Liu; Zhiqiang Gong; Guolin Feng; Gui-Quan Sun; Huimin Bai; Li Li; Yongping Wu; Chen Liu; Zhiqiang Gong; Guolin Feng; Gui-Quan Sun

doi:10.3934/era.2022177

Electronic Research Archive

2022, Volume 30, Issue 9: 3463-3480. doi: 10.3934/era.2022177

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Study on the influence of meteorological elements on growing season vegetation coverage in Xinjiang, China

1.
Complex Systems Research Center, Shanxi University, Taiyuan, Shanxi, China
2.
School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi, China
3.
College of Physics Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
4.
Center for Ecology and Environmental Sciences, Northwestern Polytechnical University, Xi'an, Shaanxi, China
5.
Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing, China
6.
Department of Mathematics, North University of China, Taiyuan, Shanxi, China

Academic Editor: Wei Lin

Received: 30 May 2022 Revised: 05 July 2022 Accepted: 12 July 2022 Published: 26 July 2022

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.
- vegetation,
- arid and semi-arid region,
- climate change,
- machine learning
Citation: 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[J]. Electronic Research Archive, 2022, 30(9): 3463-3480. doi: 10.3934/era.2022177

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Abstract

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.

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