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  • California Department of Fish and Wildlife Enhanced Large Fish Study, San Francisco Estuary, California, 2023 Gillnet Survey
  • Stompe, Dylan K; Environmental Scientist; California Department of Fish and Wildlife
    Hobbs, James A; Environmental Program Manager; California Department of Fish and Wildlife
  • 2023-09-25
  • Stompe, D.K. and J.A. Hobbs. 2023. California Department of Fish and Wildlife Enhanced Large Fish Study, San Francisco Estuary, California, 2023 Gillnet Survey ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-29).

  • This study was designed to expand IEP sampling to the large fish component of the SFE fish community. Our objectives are to describe trends in the spatial distribution and abundance of large fishes, and to describe population demographics. Our research questions are as follows:

    • What sampling methods and intensity are required to fully represent the large fish component of regional SFE fish communities?

    • How does the assemblage of fishes captured in gillnets compare to alternative sampling methods (electrofishing, trawl, etc.)?

    • Can mark-recapture be used to determine regional abundance and movement dynamics?

    • What fishes make up regional fish assemblages and what are the trends in the composition of these assemblages?

    • What are the regional abundance and size structure trends of SFE large fishes?

  • N: 38.326172      S: 38.179161      E: -121.570664      W: -121.805496
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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