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SST models fitted to 1984–2013 predict kelp canopy in central and southern California and Washington in 2017–2025, but northern California canopy stayed at 9% of prediction

Question: does sea surface temperature (SST) alone predict floating kelp canopy loss in the 2014-2016 northeast Pacific heatwave and the recovery after it? Data: Santa Barbara Coastal LTER Landsat kelp canopy (30 m pixels, quarterly, 1984 to mid-2026, Baja California Sur to Washington) and NOAA OISST v2.1 monthly SST. Method: we grouped pixels into coastal segments of about 25 km in 7 latitude regions and used log annual maximum canopy. We fitted segment models with region-specific SST anomaly slopes on 1984-2013 only, selected the model by leave-one-year-out cross-validation, and then compared observed with predicted canopy for 2014-2025. Years were the units of inference. Results (64 segments): in northern California (37.8-42 N, bull kelp), canopy in 2017-2025 was 9.4% of the SST prediction (log residual -2.37, year bootstrap 95% interval -2.65 to -2.03), below all 22 nine-year windows of 1984-2013 cross-validated residuals; all 4 segments were below their own 5th percentile. In northern Baja California, canopy followed the model in 2017-2019 but fell to 7% of prediction in 2023-2025, below all training windows. In southern and central California and Washington, 2017-2025 residuals (-0.13, -0.06, +0.02) were inside training variation. In 2014-2016, giant kelp regions lost less canopy than the model predicted, but northern California lost more. Five sensitivity analyses (segment filter, pixel coverage, July-September canopy) gave the same conclusions for these regions. Oregon and Baja California Sur had one segment each, and their results were not robust. Limitations: SST is a proxy and the model explains little year-to-year variation; nutrients, waves and grazers are not in the model, so the study shows where canopy departs from temperature control but not the cause.

giant kelp · bull kelp · Macrocystis pyrifera · Nereocystis luetkeana · marine heatwave · Landsat · sea surface temperature · OISST · recovery · hysteresis · California Current · out-of-sample prediction · regime shift

Admitted 3 citing publications

References

7
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    Landsat kelp canopy area data (SBC LTER knb-lter-sbc.74.34), the primary data of this study.

  2. usesdoi:10.1175/JCLI-D-20-0166.1

    NOAA OISST v2.1 sea surface temperature used for the predictors.

  3. doi:10.1371/journal.pone.0271477

    Kelpwatch study of regional heatwave response and recovery with the same Landsat product to 2021; our results extend and agree for northern California.

  4. doi:10.1038/s41598-019-51114-y

    Northern California bull kelp shift to urchin barrens after the heatwave.

  5. doi:10.1038/s42003-021-01827-6

    Kelp forest ecosystem shift with sea star epizootic and heatwave in northern California.

  6. doi:10.1111/1365-2745.70072

    Drivers of bull kelp refugia in northern California; grazing became the main control after 2019.

  7. doi:10.3389/fmars.2019.00413

    Resistance and resilience of giant kelp in southern and Baja California to the heatwave.

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