Variation in Vegetation Composition and Structure across Mudflat Areas in the Yellow River Delta, China
文献类型:期刊论文
作者 | Li, He4; Liu, Qingsheng2,3,4; Huang, Chong4; Zhang, Xin1; Wang, Shuxuan4; Wu, Wei4; Shi, Lei4 |
刊名 | REMOTE SENSING
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出版日期 | 2024-09-01 |
卷号 | 16期号:18页码:3495 |
关键词 | UAV vegetation composition vegetation structure mudflat protection and restoration Yellow River Delta |
DOI | 10.3390/rs16183495 |
产权排序 | 1 |
英文摘要 | Variations in vegetation composition and structure are significant signals of the succession of mudflat ecosystems and have important indicative roles in mudflat ecosystem degradation. Due to poor accessibility of vast even mudflat areas, variation in vegetation composition and structure across mudflat areas remains unclear in the Yellow River Delta (YRD), China. We provided an UAV multispectral orthomosaic with 10 cm ground sample distance to classify and compare the vegetation composition and structure across mudflat areas in the YRD. The vegetation classification overall accuracy achieved 95.0%. We found that although a significant difference (p < 0.05) was checked out in terms of the Shannon-Wiener diversity index (from 1.33 to 0.92) and evenness index (from 0.96 to 0.66) among the eight subareas from land to sea, all four dominant vegetation communities (S. salsa, L. bicolor, T. chinensis, and P. australis) were discovered at all eight subareas. Our findings support the idea that the regional environment and local microtopography are the predominant forces for variation in vegetation composition and structure across mudflat areas. From the perspective of vegetation restoration and conservation, changing the local microtopography will be an interesting way to enhance the vegetation diversity of the mudflat ecosystems in the YRD. |
WOS关键词 | SOIL PROPERTIES ; PATTERN ; DIVERSITY ; DYNAMICS ; DESERTIFICATION ; SEGMENTATION ; MECHANISMS ; IMAGERY ; COVER |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:001326252400001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/208234] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
通讯作者 | Liu, Qingsheng |
作者单位 | 1.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 3.Key Lab Nat Resource Coupling Proc & Effects, Beijing 100055, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Li, He,Liu, Qingsheng,Huang, Chong,et al. Variation in Vegetation Composition and Structure across Mudflat Areas in the Yellow River Delta, China[J]. REMOTE SENSING,2024,16(18):3495. |
APA | Li, He.,Liu, Qingsheng.,Huang, Chong.,Zhang, Xin.,Wang, Shuxuan.,...&Shi, Lei.(2024).Variation in Vegetation Composition and Structure across Mudflat Areas in the Yellow River Delta, China.REMOTE SENSING,16(18),3495. |
MLA | Li, He,et al."Variation in Vegetation Composition and Structure across Mudflat Areas in the Yellow River Delta, China".REMOTE SENSING 16.18(2024):3495. |
入库方式: OAI收割
来源:地理科学与资源研究所
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