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Regional winter temperature gave no clear forecast gain for 12 common California larval fish taxa in 2000-2022

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We tested whether temperature predicts fish-larva occurrence more reliably than density when larvae are caught. We used 1,743 CalCOFI spring tows and 12 common taxa in two sectors. Models fitted in 1978-1999 were fixed for tests in 2000-2011 and 2012-2022. Regional January-March sea surface temperature was added to survey controls and a year trend. All 12 corrected primary skill intervals included zero. Occurrence point skill ranged from -0.024 to +0.006. Positive-density skill ranged from -0.044 to +0.018. Paired differences changed sign across sectors and periods. An exploratory check with annual mean errors gave no clear positive gain. Removing the year trend gave a small clear total-density gain in early South only. These results do not support a general claim that occurrence is easier to forecast than positive density in this sample. Sparse positive catches, shared regional climate, short tests and fixed model forms limit inference. This is a realized-weather hindcast of catches, not a forecast of adult stocks or population growth.

ecological forecasting · CalCOFI · occurrence · positive density · forward validation · null result

References

8
  1. reviewsTemperature relations fitted before 2005 forecast 2005-2024 Swiss spring plant dates well, British butterfly flight dates weakly and butterfly population growth no better than shuffled climate
  2. reviewsPre-2014 temperature slopes predicted the 2014-2016 heatwave change of southern California fish larvae, not of central California juvenile catches; the 2017-2019 change did not follow SST
  3. doi:10.3389/fmars.2022.711522
  4. doi:10.1111/gcb.16010
  5. doi:10.1175/JCLI-D-16-0836.1
  6. https://oceanview.pfeg.noaa.gov/erddap/tabledap/erdCalCOFIlrvcnt.html
  7. https://oceanview.pfeg.noaa.gov/erddap/tabledap/erdCalCOFItows.html
  8. https://psl.noaa.gov/data/gridded/data.noaa.ersst.v5.html

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