Effects of Geomorphic Spatial Differentiation on Vegetation Distribution Based on Remote Sensing and Geomorphic Regionalization
文献类型：期刊论文
| 作者 | Xu, Hua1,2; Cheng, Weiming1,2,3,4,5; Wang, Baixue1; Song, Keyu1,2; Zhang, Yichi1; Wang, Ruibo1,6; Bao, Anming5 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 16期号:6页码:21 |
| 关键词 | geomorphic types vegetation distribution hilly oasis zone geomorphic regionalization Geodetector Xinjiang |
| DOI | 10.3390/rs16061062 |
| 通讯作者 | Cheng, Weiming(chengwm@lreis.ac.cn) |
| 英文摘要 | As the core area of human activities and economic development in the Xinjiang Autonomous Region, the hilly oasis zone of Xinjiang directly affects the regional sustainable development and stability of the ecosystem. Understanding the effects of different geomorphic types on vegetation distribution is crucial for maintaining vegetation growth and development, especially the improvement in the terrestrial ecological environment in arid areas under the background of climate change. However, there are few studies on the effect of spatial differences in detailed geomorphic types on vegetation distribution patterns. Therefore, this paper divides the Xinjiang hilly oasis zone into six geomorphologic level zones and innovatively investigates the influence of detailed geomorphologic types on the spatial distribution of vegetation and vegetation cover. Further, the area proportion of detailed landform types corresponding to different vegetation coverage in each geomorphic area was quantitatively calculated. Finally, the Geodetector method was used to detect the drivers of interactions between vegetation and the environment. The findings are shown as follows: (1) In the same climate zone, the spatial differentiation of landforms has a great influence on the vegetation distribution, manifesting as the significantly different vegetation distribution in different landform types. Grassland is the main vegetation type in the erosion and denudation of Nakayama; cultivated vegetation and meadows have a larger coverage in the alluvial flood plain and alluvial plain; and the distribution of vegetation in the Tianshan economic zone is characterized by obvious vertical zoning with the geomorphology. (2) The landform type and morphological types are the strongest driving factors for vegetation coverage with q values of 0.433 and 0.295, respectively, which effectually fill the gap caused by only using two terrain indicators, slope and elevation, to study the relationship between landforms and vegetation. (3) In addition, the improved nonlinear interaction resulting from the double factor of landform type and slope is 0.486, which has a stronger control on vegetation coverage than the single factor of landform type. These findings are conducive to enhancing the supply services of vegetation to the ecosystem in arid areas as well as providing important scientific guidance for the construction of ecological civilization and sustainable development in Xinjiang. |
| WOS关键词 | NORTHERN SLOPE ; CLIMATE-CHANGE ; XINJIANG ; COVERAGE ; REGION ; CHINA ; TOPOGRAPHY ; IMPACTS ; QINGHAI ; MODEL |
| 资助项目 | Third Xinjiang Comprehensive Scientific Investigation Project Scientific Research Data Platform and Standard System Construction |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001193015500001 |
| 出版者 | MDPI |
| 资助机构 | Third Xinjiang Comprehensive Scientific Investigation Project Scientific Research Data Platform and Standard System Construction |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203967]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cheng, Weiming |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 4.Collaborat Innovat Ctr South China Sea Studies, Nanjing 210093, Peoples R China 5.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China 6.Xinjiang Univ, Coll Geog & Remote Sensing Sci, Urumqi 830017, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Hua,Cheng, Weiming,Wang, Baixue,et al. Effects of Geomorphic Spatial Differentiation on Vegetation Distribution Based on Remote Sensing and Geomorphic Regionalization[J]. REMOTE SENSING,2024,16(6):21. |
| APA | Xu, Hua.,Cheng, Weiming.,Wang, Baixue.,Song, Keyu.,Zhang, Yichi.,...&Bao, Anming.(2024).Effects of Geomorphic Spatial Differentiation on Vegetation Distribution Based on Remote Sensing and Geomorphic Regionalization.REMOTE SENSING,16(6),21. |
| MLA | Xu, Hua,et al."Effects of Geomorphic Spatial Differentiation on Vegetation Distribution Based on Remote Sensing and Geomorphic Regionalization".REMOTE SENSING 16.6(2024):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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