Human activities modulate greening patterns: a case study for southern Xinjiang in China based on long time series analysis
文献类型：期刊论文
| 作者 | Zhao,Rongtian1,5; Liu,Xingcai1; Dong,Jinwei2; Zhao,Gang3; Manevski,Kiril4,5; Andersen,Mathias Neumann4,5; Tang,Qiuhong1,5 |
| 刊名 | Environmental Research Letters
 |
| 出版日期 | 2022-03-11 |
| 卷号 | 17期号:4 |
| 关键词 | greening human activities hyper-arid land use land cover southern Xinjiang |
| DOI | 10.1088/1748-9326/ac58a9 |
| 通讯作者 | Tang,Qiuhong() |
| 英文摘要 | Abstract Greening of the Earth is observed during the past several decades and both climatic and non-climatic factors drive this process. However, the greening spatio-temporal patterns and the role of human activities such as agricultural intensification in hyper-arid regions remain unclear. This study aimed to (a) reveal the greening pattern in China’s southern Xinjiang using satellite estimations of normalized difference vegetation index and leaf area index data during 1982–2019, and (b) examine the impacts of human activities in terms of land use land cover (LULC) data. Our multi-decadal analysis is ideal to reveal long-term trends and support a better understanding of the anthropogenic effects in this hyper-arid and endorheic region. The results showed that vegetation as a whole increased significantly in southern Xinjiang and the greening rate of cropland was much higher than the other LULC types. Significant greening was found over >90% of cropland, while insignificant changes and browning trends were found over nearly half the area of the other LULCs. The proportion of greening areas was more than 80% within 1 km from human-dominated areas while the proportion decreased to 40% with distances >15 km. The spatial heterogeneity of the greening indicated that, despite widely reported beneficial effects of warmer and wetter climate for a general greening trend, human activities could be the dominant factor modulating the greening rates disproportionately over different LULCs in arid and hyper-arid areas. |
| 语种 | 英语 |
| WOS记录号 | IOP:ERL_17_4_044012 |
| 出版者 | IOP Publishing |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/166806]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tang,Qiuhong |
| 作者单位 | 1.Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China 2.Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China 3.Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, United States of America 4.Department of Agroecology, Aarhus University, Blichers Allé 20, 8830 Tjele, Denmark 5.Sino-Danish Center for Education and Research, Eastern Yanqihu Campus, University of Chinese Academy of Sciences, 380 Huaibeizhuang, 101400 Beijing, People’s Republic of China |
| 推荐引用方式 GB/T 7714 | Zhao,Rongtian,Liu,Xingcai,Dong,Jinwei,et al. Human activities modulate greening patterns: a case study for southern Xinjiang in China based on long time series analysis[J]. Environmental Research Letters,2022,17(4). |
| APA | Zhao,Rongtian.,Liu,Xingcai.,Dong,Jinwei.,Zhao,Gang.,Manevski,Kiril.,...&Tang,Qiuhong.(2022).Human activities modulate greening patterns: a case study for southern Xinjiang in China based on long time series analysis.Environmental Research Letters,17(4). |
| MLA | Zhao,Rongtian,et al."Human activities modulate greening patterns: a case study for southern Xinjiang in China based on long time series analysis".Environmental Research Letters 17.4(2022). |
入库方式： OAI收割
来源：地理科学与资源研究所
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