Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s11356-021-13721-z |
Dynamic characteristics and driving factors of vegetation greenness under changing environments in Xinjiang, China | |
He, Panxing; Sun, Zongjiu; Han, Zhiming; Dong, Yiqiang; Liu, Huixia; Meng, Xiaoyu; Ma, Jun | |
通讯作者 | Sun, ZJ (corresponding author), Xinjiang Agr Univ, Coll Grassland & Environm Sci, Key Lab Western Arid Reg Grassland Resources & Ec, Minist Educ, Urumqi 830052, Peoples R China. |
来源期刊 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH |
ISSN | 0944-1344 |
EISSN | 1614-7499 |
出版年 | 2021 |
英文摘要 | Global environment changes rapidly alter regional hydrothermal conditions, which undoubtedly affects the spatiotemporal dynamics of vegetation, especially in arid and semi-arid areas. However, identifying and quantifying the dynamic evolution and driving factors of vegetation greenness under the changing environment are still a challenge. In this study, gradual trend analysis was applied to calculate the overall spatiotemporal trend of the normalized difference vegetation index (NDVI) time series of Xinjiang province in China, the abrupt change analysis was used to detect the timing of breakpoint and trend shift, and two machine learning methods (boosted regression tree and random forest) were used to quantify the key factors of vegetation change and their relative contribution rate. The results have shown that vegetation has experienced overall recovery over the past 20 years in Xinjiang, and greenness increased at a rate of 17.83 10(-4) year(-1). Cropland, grassland, and sparse vegetation were the main biome types where vegetation restoration is happening. Nearly 10% of the pixels (about 166000 km(2)) were detected to have breakpoints from 2004 to 2016 of the monthly NDVI, and most of the breakpoints were concentrated in the ecotone of various biomes. CO2 concentration was the most prevalent environmental factor to increase vegetation greenness, because continuous emission of CO2 greatly enhanced the fertilization effect, further promoted vegetation growth. Besides, cropland expansion and desertification control were the vital anthropogenic factors to vegetation turning green in Xinjiang, and most areas under anthropogenic were mainly in oasis areas. These findings provide new insights and measures for the regional response strategies and terrestrial ecosystem protection. |
英文关键词 | Vegetation greenness Abrupt change Gradual change Environmental factors Land-use management Xinjiang |
类型 | Article ; Early Access |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000636639400007 |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
来源机构 | 中国科学院新疆生态与地理研究所 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/352170 |
作者单位 | [He, Panxing; Sun, Zongjiu; Dong, Yiqiang; Liu, Huixia] Xinjiang Agr Univ, Coll Grassland & Environm Sci, Key Lab Western Arid Reg Grassland Resources & Ec, Minist Educ, Urumqi 830052, Peoples R China; [He, Panxing; Ma, Jun] Fudan Univ, Inst Biodivers Sci, Key Lab Biodivers Sci & Ecol Engn, Minist Educ, Shanghai 200438, Peoples R China; [Han, Zhiming] Xian Univ Technol, State Key Lab Base Ecohydraul Engn Arid Area, Xian 710000, Peoples R China; [Meng, Xiaoyu] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Meng, Xiaoyu] Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | He, Panxing,Sun, Zongjiu,Han, Zhiming,et al. Dynamic characteristics and driving factors of vegetation greenness under changing environments in Xinjiang, China[J]. 中国科学院新疆生态与地理研究所,2021. |
APA | He, Panxing.,Sun, Zongjiu.,Han, Zhiming.,Dong, Yiqiang.,Liu, Huixia.,...&Ma, Jun.(2021).Dynamic characteristics and driving factors of vegetation greenness under changing environments in Xinjiang, China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. |
MLA | He, Panxing,et al."Dynamic characteristics and driving factors of vegetation greenness under changing environments in Xinjiang, China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021). |
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