Unmanned aerial vehicle methods makes species composition monitoring easier in grasslands
文献类型：期刊论文
| 作者 | Sun, Yi1,2; Yi, Shuhua1,2; Hou, Fujiang3 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2018-12-01 |
| 卷号 | 95页码:825-830 |
| ISSN号 | 1470-160X |
| 关键词 | FragMAP Grazing intensity Pielou's J index Richness Shannon index Simpson index The Qinghai-Tibetan Plateau |
| DOI | 10.1016/j.ecolind.2018.08.042 |
| 通讯作者 | Yi, Shuhua(yis@lzb.ac.cn) |
| 英文摘要 | Species composition plays a critical role in environmental conservation, ecosystem functioning and health of grasslands. However, there is no efficient and long-term monitoring method. In this study, we developed a practical method with unmanned aerial vehicles (UAVs), and tested it along a range of grazing intensities in alpine meadow of the Qinghai-Tibetan Plateau. We found that 1) there were significant linear relationships of widely used species composition indices between this and traditional methods (P < 0.01); 2) along increasing grazing density, there were similar tendencies of these indices estimated by the two methods; 3) the new method was more representative than the traditional one though some specific species were difficult to identify. We concluded that this method is suitable for long-term repeated monitoring of grassland species composition, which will be useful for grassland conservation and management. |
| 收录类别 | SCI |
| WOS关键词 | BIODIVERSITY ; RICHNESS ; TIME |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| WOS类目 | Biodiversity Conservation ; Environmental Sciences |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE BV |
| WOS记录号 | WOS:000456907400081 |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2558174 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Yi, Shuhua |
| 作者单位 | 1.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, 320 Donggang West Rd, Lanzhou 730000, Peoples R China 2.Nantong Univ, Sch Geog Sci, 999 Tongjing Rd, Nantong 226007, Jiangsu, Peoples R China 3.Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Grassland Agroecosyst, Lanzhou 730000, Gansu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Yi,Yi, Shuhua,Hou, Fujiang. Unmanned aerial vehicle methods makes species composition monitoring easier in grasslands[J]. ECOLOGICAL INDICATORS,2018,95:825-830. |
| APA | Sun, Yi,Yi, Shuhua,&Hou, Fujiang.(2018).Unmanned aerial vehicle methods makes species composition monitoring easier in grasslands.ECOLOGICAL INDICATORS,95,825-830. |
| MLA | Sun, Yi,et al."Unmanned aerial vehicle methods makes species composition monitoring easier in grasslands".ECOLOGICAL INDICATORS 95(2018):825-830. |
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来源：寒区旱区环境与工程研究所
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