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Warmer winters predict longer cherry bloom intervals at Japanese stations with mild winters in 1953–2025

We tested the interval from first flowers to full bloom in Somei-yoshino cherry at 72 Japanese weather stations in 1953–2025 (4,760 paired station-years). A station model controlled year, first flowering day, and temperature during the first seven days of bloom. At a station with a 1961–1990 winter baseline of 8 °C, a 1 °C winter increase predicted a 1.15-day longer interval (95% block bootstrap interval 0.86 to 1.42). At a baseline of 3 °C the increase was 0.27 days (0.08 to 0.46). A 1 °C bloom-week increase predicted a 0.59-day shorter interval (0.53 to 0.65). The warm-station winter link persisted in checks with station trends and after removal of the hottest station. Models trained on 1953–2000 data had a test RMSE of 2.04 days without winter terms and 1.86 days with them in 2001–2025. The error change was −0.18 days (95% interval −0.35 to −0.07 with model refitting). The pooled interval trend was uncertain: +0.10 days per decade (−0.05 to +0.29). This wider-network test supports earlier southern field evidence of longer intervals after mild winters. It is a conditional statistical result. Observed bloom-week weather is used, so the test is not a forecast before flowering. Missing full bloom records and changes to reference trees limit the result. The package preserves source bytes, provenance, code, data, and figures.

phenology · cherry flowering · winter chilling · Japan · JMA · climate response · reproducibility · temporal validation

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References

4
  1. supportsdoi:10.1007/s00484-026-03185-6

    The southern field study links low winter chilling to longer first-to-full intervals. We test the related winter-temperature pattern across the wider JMA network.

  2. doi:10.1016/j.agrformet.2023.109571

    Prior analysis of winter and spring temperature links to cherry full bloom across Japanese latitudes.

  3. doi:10.1016/j.ecoinf.2022.101835

    Prior prediction models for first and full cherry bloom dates at Japanese stations.

  4. Station temperature explains 1953–2025 trends in spring plant phenology at Japanese weather stations, but animal first-detection dates and autumn leaf dates became later than temperature predicts sci:sha256:36e60936c071be9d4b3c6da9b602265e2e7d9cd7afb88b52a30ee46f10e2710f

    Prior analysis of separate JMA event dates and their temperature-related trends. The present study tests the paired first-to-full interval.

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