Factors Driving Changes in Vegetation in Mt. Qomolangma (Everest): Implications for the Management of Protected Areas
文献类型：期刊论文
| 作者 | Zhang, Binghua3,4; Zhang, Yili3,4; Wang, Zhaofeng3,4; Ding, Mingjun5; Liu, Linshan3,4; Li, Lanhui1; Li, Shicheng6; Liu, Qionghuan2,3; Paudel, Basanta3,4; Zhang, Huamin3,5 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 13期号:22页码:21 |
| 关键词 | time effect BFAST protected area human activity central Himalaya |
| DOI | 10.3390/rs13224725 |
| 通讯作者 | Liu, Linshan(liuls@igsnrr.ac.cn) |
| 英文摘要 | The Mt. Qomolangma (Everest) National Nature Preserve (QNNP) is among the highest natural reserves in the world. Monitoring the spatiotemporal changes in the vegetation in this complex vertical ecosystem can provide references for decision makers to formulate and adapt strategies. Vegetation growth in the reserve and the factors driving it remains unclear, especially in the last decade. This study uses the normalized difference vegetation index (NDVI) in a linear regression model and the Breaks for Additive Seasonal and Trend (BFAST) algorithm to detect the spatiotemporal patterns of the variations in vegetation in the reserve since 2000. To identify the factors driving the variations in the NDVI, the partial correlation coefficient and multiple linear regression were used to quantify the impact of climatic factors, and the effects of time lag and time accumulation were also considered. We then calculated the NDVI variations in different zones of the reserve to examine the impact of conservation on the vegetation. The results show that in the past 19 years, the NDVI in the QNNP has exhibited a greening trend (slope = 0.0008/yr, p < 0.05), where the points reflecting the transition from browning to greening (17.61%) had a much higher ratio than those reflecting the transition from greening to browning (1.72%). Shift points were detected in 2010, following which the NDVI tendencies of all the vegetation types and the entire preserve increased. Considering the effects of time lag and time accumulation, climatic factors can explain 44.04% of the variation in vegetation. No climatic variable recorded a change around 2010. Considering the human impact, we found that vegetation in the core zone and the buffer zone had generally grown better than the vegetation in the test zone in terms of the tendency of growth, the rate of change, and the proportions of different types of variations and shifts. A policy-induced reduction in livestock after 2010 might explain the changes in vegetation in the QNNP. |
| WOS关键词 | TIBETAN PLATEAU ; CLIMATE-CHANGE ; TIME-SERIES ; GRASSLAND ; SATELLITE ; TRENDS ; PRODUCTIVITY ; FORESTS ; COVER ; DISTURBANCES |
| 资助项目 | Second Tibetan Plateau Scientific Expedition and Research[2019QZKK0603] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20040201] ; National Natural Science Foundation of China[41761144081] ; Chinese Academy of Sciences[2018PC0030] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000726648300001 |
| 资助机构 | Second Tibetan Plateau Scientific Expedition and Research ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/168250]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Linshan |
| 作者单位 | 1.Xiamen Univ Technol, Sch Comp & Informat Engn, Xiamen 361024, Peoples R China 2.Shenzhen Univ, Res Inst Smart Cities, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China 3.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 5.Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Sch Geog & Environm, Nanchang 330028, Jiangxi, Peoples R China 6.China Univ Geosci, Sch Publ Adm, Dept Land Resource Management, Wuhan 430074, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Binghua,Zhang, Yili,Wang, Zhaofeng,et al. Factors Driving Changes in Vegetation in Mt. Qomolangma (Everest): Implications for the Management of Protected Areas[J]. REMOTE SENSING,2021,13(22):21. |
| APA | Zhang, Binghua.,Zhang, Yili.,Wang, Zhaofeng.,Ding, Mingjun.,Liu, Linshan.,...&Zhang, Huamin.(2021).Factors Driving Changes in Vegetation in Mt. Qomolangma (Everest): Implications for the Management of Protected Areas.REMOTE SENSING,13(22),21. |
| MLA | Zhang, Binghua,et al."Factors Driving Changes in Vegetation in Mt. Qomolangma (Everest): Implications for the Management of Protected Areas".REMOTE SENSING 13.22(2021):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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