Estimating aquatic plant diversity and distribution in rivers from Jingjinji region, China, using environmental DNA metabarcoding and a traditional survey method
文献类型：期刊论文
| 作者 | Ji, Fenfen; Yan, Liang; Yan, Saihong; Qin, Tianlong; Shen, Jianzhong; Zha, Jinmiao |
| 刊名 | ENVIRONMENTAL RESEARCH
 |
| 出版日期 | 2021-08 |
| 卷号 | 199页码:- |
| 关键词 | Aquatic plant diversity Environmental DNA metabarcoding Traditional survey method River ecosystems |
| ISSN号 | 0013-9351 |
| 英文摘要 | Traditional survey methods (TSMs) are difficult to use to perform a census of aquatic plant diversity completely in river ecosystems, and improved aquatic plant community monitoring programs are becoming increasingly crucial with a continuous decline in diversity. Although environmental DNA (eDNA) metabarcoding has been applied successfully to assess aquatic biodiversity, limited work has been reported regarding aquatic plant diversity in rivers. In this study, the efficiency of eDNA to estimate the aquatic plant diversity and spatial distribution of rivers from the Jingjinji (JJJ) region was evaluated by comparing results obtained by the TSM. Based on a combination of the two methods, 157 aquatic plant species, including 24 hydrophytes, 61 amphibious plants, and 72 mesophytes, were identified. The spatial patterns in species richness and abundance by eDNA exhibited agreement with the TSM results with a gradual decline from the mountain area (MA) to the agricultural area (AA) and then to the urban area (UA). Compared to the TSM, eDNA identified a significantly greater number of species per site (p < 0.01) and obtained a significantly higher abundance in hydrophytes (p < 0.01), supplementing the unavailable abundance data from the TSM. Furthermore, the aquatic plant assemblages from the different areas were discriminated well using eDNA (p < 0.05), but they were better discriminated by the TSM (p < 0.01). Thus, our study provides more detailed data on aquatic plant diversity in rivers from the JJJ region, which is essential for biodiversity conservation. Our findings also highlight that eDNA can be reliable for evaluating aquatic plant diversity and has the potential to respond to landscape heterogeneity in river ecosystems. |
| WOS研究方向 | Environmental Sciences ; Public, Environmental & Occupational Health |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/46209]  |
| 专题 | 生态环境研究中心_中国科学院饮用水科学与技术重点实验室 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing Key Lab Ind Wastewater Treatment & Reuse, Beijing 100085, Peoples R China 3.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, 18 Shuangqing Rd, Beijing 100085, Peoples R China 4.Huazhong Agr Univ, Coll Fisheries, Key Lab Freshwater Anim Breeding, Minist Agr, Wuhan 430070, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ji, Fenfen,Yan, Liang,Yan, Saihong,et al. Estimating aquatic plant diversity and distribution in rivers from Jingjinji region, China, using environmental DNA metabarcoding and a traditional survey method[J]. ENVIRONMENTAL RESEARCH,2021,199:-. |
| APA | Ji, Fenfen,Yan, Liang,Yan, Saihong,Qin, Tianlong,Shen, Jianzhong,&Zha, Jinmiao.(2021).Estimating aquatic plant diversity and distribution in rivers from Jingjinji region, China, using environmental DNA metabarcoding and a traditional survey method.ENVIRONMENTAL RESEARCH,199,-. |
| MLA | Ji, Fenfen,et al."Estimating aquatic plant diversity and distribution in rivers from Jingjinji region, China, using environmental DNA metabarcoding and a traditional survey method".ENVIRONMENTAL RESEARCH 199(2021):-. |
入库方式： OAI收割
来源：生态环境研究中心
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