Significant influences of extreme climate on autumn phenology in Central Asia grassland
文献类型：期刊论文
| 作者 | Gao, Xinyue1,3; Tao, Zexing3; Dai, Junhu2,3 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 155页码:12 |
| ISSN号 | 1470-160X |
| 关键词 | Autumn phenology Extreme climate Climate change Central Asia |
| DOI | 10.1016/j.ecolind.2023.111056 |
| 通讯作者 | Tao, Zexing(taozx.12s@igsnrr.ac.cn) |
| 英文摘要 | Over the past half-century, there has been a significant rise in the frequency and intensity of extreme climate events in dryland ecosystems. While vegetation phenology acts as an important indicator of how ecosystems respond to climate change, the impact of extreme climate events on autumn phenology in dryland ecosystems remains uncertain. In this study, we firstly assessed the temporal variations in the end of growing season (EOS) in Central Asia using the Normalized Difference Vegetation Index and enhanced vegetation index over 2001-2018. Then, we assessed the impacts of eight climate indices, which capture the average and extreme conditions of the local climate, on EOS across diverse vegetation types using linear mixed models. Finally, we conducted partial correlation analysis to explore how the primary influencing factors affect EOS along an elevational gradient. Our results suggested increased occurrences of drought and heat events in the pre-growing season (April-September) in Central Asia. Under the background, a general trend towards earlier EOS (ca. 1.01 days/decade) was observed for grassland. This trend was mostly attributed to the changes in extreme climate indices (CIextreme), especially heavy rainfall and heat stress. The total explanatory power of CIextreme was almost twice that of mean climate indices (CImean). However, the impact of CIextreme was less pronounced in regions with elevations exceeding 1500 m. For forests and shrublands, the EOS exhibited delaying trend of 1.29 days/decade and advancing trend of 1.21 days/decade, respectively. Contrary to grasslands, the variations in EOS of forests and shrublands were largely influenced by the shift of CImean, especially mean minimum temperature and accumulated precipitation. The contribution of CIextreme accounted for only 1/6 of the contribution of CImean, likely attributed to the adaptation of forests to cold conditions and shrublands to arid conditions. The results provide valuable insights into the phenological response to extreme climate events and serve as a reference for ecosystem management in arid regions. |
| WOS关键词 | LAND-SURFACE PHENOLOGY ; LEAF SENESCENCE ; NORTHERN-HEMISPHERE ; VEGETATION PHENOLOGY ; FOREST PHENOLOGY ; PROTEIN-CONTENT ; TEMPERATURE ; RESPONSES ; IMPACTS ; SEASON |
| 资助项目 | National Natural Science Foundation of China[41901014] ; Strategic Priority Research Program (A) of Chinese Academy of Sciences[XDA26010202] |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001091734400001 |
| 资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program (A) of Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/199191]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tao, Zexing |
| 作者单位 | 1.Qilu Normal Univ, Sch Geog & Tourism, Jinan 250020, Peoples R China 2.Chinese Acad Sci, Higher Educ Commiss Pakistan, China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Xinyue,Tao, Zexing,Dai, Junhu. Significant influences of extreme climate on autumn phenology in Central Asia grassland[J]. ECOLOGICAL INDICATORS,2023,155:12. |
| APA | Gao, Xinyue,Tao, Zexing,&Dai, Junhu.(2023).Significant influences of extreme climate on autumn phenology in Central Asia grassland.ECOLOGICAL INDICATORS,155,12. |
| MLA | Gao, Xinyue,et al."Significant influences of extreme climate on autumn phenology in Central Asia grassland".ECOLOGICAL INDICATORS 155(2023):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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