4.7 Article

Environmental DNA facilitates accurate, inexpensive, and multiyear population estimates of millions of anadromous fish

期刊

MOLECULAR ECOLOGY RESOURCES
卷 20, 期 2, 页码 457-467

出版社

WILEY
DOI: 10.1111/1755-0998.13123

关键词

Alaska; anadromous; eDNA; eulachon; fisheries; Thaleichthys pacificus; Tlingit

资金

  1. Ministry of Science and Technology of China [2012FY110800]
  2. North Pacific Landscape Conservation Cooperative [FW13AP01047]
  3. Bureau of Indian Affairs [A18AP00229]
  4. State Key Laboratory of Genetic Resources and Evolution at Kunming Institute of Zoology [GREKF18-04]
  5. National Natural Science Foundation of China [31400470, 31500305, 31670536, 41661144002]
  6. National Geographic Society [9493-14]
  7. U.S. Fish and Wildlife Service [AK-U-28-NA-1]
  8. University of East Anglia
  9. Oregon State University
  10. Key Research Program of Frontier Sciences, CAS [QYZDY-SSW-SMC024]
  11. Bureau of International Cooperation [GJHZ1754]
  12. Strategic Priority Research Program of the Chinese Academy of Sciences [XDA20050202, XDB31000000]

向作者/读者索取更多资源

Although environmental DNA shed from an organism is now widely used for species detection in a wide variety of contexts, mobilizing environmental DNA for management requires estimation of population size and trends in addition to assessing presence or absence. However, the efficacy of environmental-DNA-based indices of abundance for long-term population monitoring have not yet been assessed. Here we report on the relationship between six years of mark-recapture population estimates for eulachon (Thaleichthys pacificus) and eDNA rates which are calculated from the product of stream flow and DNA concentration. Eulachon are a culturally and biologically important anadromous fish that have significantly declined in the southern part of their range but were historically rendered into oil and traded. Both the peak eDNA rate and the area under the curve of the daily eDNA rate were highly predictive of the mark-recapture population estimate, explaining 84.96% and 92.53% of the deviance, respectively. Even in the absence of flow correction, the peak of the daily eDNA concentration explained an astonishing 89.53% while the area under the curve explained 90.74% of the deviance. These results support the use of eDNA to monitor eulachon population trends and represent a >80% cost savings over mark-recapture, which could be further increased with automated water sampling, reduced replication, and focused temporal sampling. Due to its logistical ease and affordability, eDNA sampling can facilitate monitoring a larger number of rivers and in remote locations where mark-recapture is infeasible.

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