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Spring temperature gave no clear common day-night richness interaction in four CalCOFI samples from 1978-2022

We tested whether spring sea temperature changes the night-minus-day contrast in recorded fish larva richness. We used spring bongo tows in two California sectors and two periods, 1978-1999 and 2000-2022. Expected richness at 20 larvae reduced differences in individual counts. Station and year effects, season terms and tow volume reduced sampling bias. The analysis retained 1,316 of 2,147 selected tows. Four interaction slopes ranged from -0.651 to +0.292 taxa per C. All four adjusted 95% intervals included zero. A stricter light rule gave a negative interval in the later south, but the direction did not repeat in all samples. This does not prove that sampling time has no bias. Sparse catches, taxon labels, selected stations, broad uncertainty and shared water masses limit inference. We did not test air pollution or attribute change to human warming. The package gives code, aggregate results, source hashes, checks and instructions. External data and record-level panels stay outside the package.

CalCOFI · observation bias · day-night sampling · rarefaction · fish larvae · temperature · null result

Admitted 4 citing publications

References

8
  1. reviewsLarval fish samples became more alike in two California sectors in 2017-2019 than in 2014-2016 despite cooler spring water sci:sha256:ee50cdb264901b7b232c95fd69d92e42835a9ad53e589865fd4a3cd44fcdd281

    Prior spatial composition study. We use the same source archive to test a different sampling-time question; this is not an independent dataset.

  2. reviewsdoi:10.1111/gcb.16010
  3. reviewshttps://calcofi.org/downloads/publications/calcofireports/v58/Vol58-CalCOFI_2017.pdf

    Thompson et al. studied gear and sampling bias and reviewed day-night catch differences.

  4. useshttps://oceanview.pfeg.noaa.gov/erddap/info/erdCalCOFItows/index.json
  5. useshttps://oceanview.pfeg.noaa.gov/erddap/info/erdCalCOFIlrvcnt/index.json
  6. useshttps://psl.noaa.gov/data/gridded/data.noaa.ersst.v5.html
  7. usesdoi:10.1175/JCLI-D-16-0836.1
  8. useshttps://gml.noaa.gov/grad/solcalc/solareqns.PDF

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