中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.3390/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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