4.7 Article

Effectiveness assessment of using riverine water eDNA to simultaneously monitor the riverine and riparian biodiversity information

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SCIENTIFIC REPORTS
卷 11, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-021-03733-7

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  1. Central Public-Interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences [2019HY-XKQ02, 2020TD08]
  2. Department of Science and Technology of Qinghai Provence [2018-ZJ-703]

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The study showed that monitoring effectiveness was higher on summer or autumn rainy days, and monitoring of bacterial biodiversity information was more efficient. On summer rainy days, 43-76% of species information from riparian sites could be detected in adjacent riverine water eDNA samples, and 92-99% of species information from riverine sites could be detected in a 1-km downstream eDNA sample.
Both aquatic and terrestrial biodiversity information can be detected in riverine water environmental DNA (eDNA). However, the effectiveness of using riverine water eDNA to simultaneously monitor the riverine and terrestrial biodiversity information remains unidentified. Here, we proposed that the monitoring effectiveness could be approximated by the transportation effectiveness of land-to-river and upstream-to-downstream biodiversity information flows and described by three new indicators. Subsequently, we conducted a case study in a watershed on the Qinghai-Tibet Plateau. The results demonstrated that there was higher monitoring effectiveness on summer or autumn rainy days than in other seasons and weather conditions. The monitoring of the bacterial biodiversity information was more efficient than the monitoring of the eukaryotic biodiversity information. On summer rainy days, 43-76% of species information in riparian sites could be detected in adjacent riverine water eDNA samples, 92-99% of species information in riverine sites could be detected in a 1-km downstream eDNA sample, and half of dead bioinformation (the bioinformation labeling the biological material that lacked life activity and fertility) could be monitored 4-6 km downstream for eukaryotes and 13-19 km downstream for bacteria. The current study provided reference method and data for future monitoring projects design and for future monitoring results evaluation.

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