Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.aeolia.2021.100751 |
Dune bistability identified by remote sensing in a semi-arid dune field of northern China | |
Chen, Yongxin; Yizhaq, Hezi; Mason, Joseph A.; Zhang, Xueliang; Xu, Zhiwei | |
通讯作者 | Xu, ZW (corresponding author), Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China. |
来源期刊 | AEOLIAN RESEARCH
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ISSN | 1875-9637 |
EISSN | 2212-1684 |
出版年 | 2021 |
卷号 | 53 |
英文摘要 | Sand dunes could have bistable states based on the observation that bare dunes and vegetation-stabilized dunes can coexist in the same area under the same environmental conditions. So far, more quantitative evidence on such an interesting phenomenon has remained elusive. In this study, the vegetation coverage and spatial distribution of dunes in the semi-arid Mu Us dune field, north-central China, were investigated by different remote sensing indices derived from the Landsat images using the Google Earth Engine platform, and the results were verified using the aerial images. Frequency distribution of vegetation coverage in many sub-regions (5 km x 5 km) across the dune field clearly shows two dominant peaks, one around 5% and the other around 40%, representing active and stabilized dune states, respectively. The boundaries between the patches of these two states are sharp, and have hardly shifted during the last twenty years. Such coexistence of bistable states is mostly distributed across a precipitation gradient from 200 to 400 mm in the study area. The relative portion of active dunes in total is reduced with increasing precipitation, while the dominant peaks of vegetation coverage for two dune states remain largely unchanged. All these lines of evidence are in accordance with the theory of alternative stable states and model predictions. Because the reversal would be difficult once the dunes shifted into an undesired state from the standpoint of environmental management, detecting and monitoring these transitions, which are often abrupt, is important for better process-based understanding of the mechanisms involved and anticipating future transitions. |
英文关键词 | Alternative stable states theory Bistable dunes Dune dynamics Semi-arid environment Unmanned aerial vehicle Vegetation coverage |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000706970200001 |
WOS关键词 | SAND DUNES ; VEGETATION ; MOBILITY ; FOREST ; STABILIZATION ; DERIVATION ; STABILITY ; DYNAMICS ; SAVANNA ; BARCHAN |
WOS类目 | Geography, Physical |
WOS研究方向 | Physical Geography |
来源机构 | 南京大学 ; Ben-Gurion University of the Negev |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/362340 |
作者单位 | [Chen, Yongxin; Zhang, Xueliang; Xu, Zhiwei] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China; [Yizhaq, Hezi] Ben Gurion Univ Negev, Blaustein Inst Desert Res, Dept Solar Energy & Environm Phys, Sede Boqer Campus, IL-84990 Beer Sheva, Israel; [Mason, Joseph A.] Univ Wisconsin Madison, Dept Geog, Madison, WI 53706 USA |
推荐引用方式 GB/T 7714 | Chen, Yongxin,Yizhaq, Hezi,Mason, Joseph A.,et al. Dune bistability identified by remote sensing in a semi-arid dune field of northern China[J]. 南京大学, Ben-Gurion University of the Negev,2021,53. |
APA | Chen, Yongxin,Yizhaq, Hezi,Mason, Joseph A.,Zhang, Xueliang,&Xu, Zhiwei.(2021).Dune bistability identified by remote sensing in a semi-arid dune field of northern China.AEOLIAN RESEARCH,53. |
MLA | Chen, Yongxin,et al."Dune bistability identified by remote sensing in a semi-arid dune field of northern China".AEOLIAN RESEARCH 53(2021). |
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