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Warm winters delay cherry bloom at warm sites in Japan and Korea; a fixed thermal-time model explains the Swiss drop in spring sensitivity but not the Japanese rise (1951-2023)

Question: does the apparent drop of spring-phenology temperature sensitivity under warming need a physiological cause (chilling deficit), or does a model with constant physiology explain it? Approach: we used cherry bloom records from three independent networks: Japan (JMA, Somei-yoshino clone, 76 sites, 1953-2021, station monthly temperatures), Switzerland (MeteoSwiss, Prunus avium, 116 sites, 1951-2023, E-OBS daily) and South Korea (KMA, 58 sites, 1980-2020, ERA5 daily). We fitted a forcing-only thermal-time model (M1) on years up to 1987 only, simulated bloom dates for all years, and applied the same within-site sensitivity regression to observed and simulated dates. Intervals are 95 % site-cluster bootstrap intervals. Results: in Switzerland the sensitivity to 60-day preseason temperature dropped from -5.93 to -5.39 d/degC after 1988; M1 predicts an equal or larger drop (excess -0.14 [-0.46, 0.18] d/degC). In Japan the sensitivity rose from -3.33 to -4.28 d/degC while M1 predicts no change (excess -1.03 [-1.22, -0.85]); the rise remains in the 45 sites with continuous records, and models with chilling terms do not reproduce it. With spring temperature held constant, a warmer December-January delays bloom at sites with mild winters: +2.21 [2.01, 2.37] d/degC at the warmest Japanese sites (+1.60 before 1988, +3.25 after), +1.07 [0.53, 1.61] in Korea, +0.21 [0.02, 0.39] in cold-winter Switzerland. The delay increases with site winter temperature in all three networks; M1 dates show no such pattern. Chilling terms fitted before 1988 reduce later prediction error only at the warmest third of the Japanese sites. Limitations: Japanese temperatures are monthly and not homogenized; Korean records are short; chilling models are simple; the Japanese rise of sensitivity is not explained. No air-pollution data were used.

phenology · cherry blossom · temperature sensitivity · chilling · winter warming · thermal time model · Japan · Switzerland · South Korea · climate change · Prunus · observation network change

Admitted 13 citing publications

References

12
  1. useshttps://github.com/GMU-CherryBlossomCompetition/peak-bloom-prediction/tree/a95298263523607c8489a7be091c8c8d8ce61979/data

    Compiled bloom dates for Japan (JMA), Switzerland (MeteoSwiss) and South Korea (KMA).

  2. useshttps://www.data.jma.go.jp/stats/etrn/index.php

    JMA monthly mean temperatures at the Japanese bloom observatories.

  3. usesdoi:10.1029/2017JD028200

    E-OBS gridded daily temperature (v31.0e used) for Swiss sites.

  4. useshttps://knmi-ecad-assets-prd.s3.amazonaws.com/ensembles/data/Grid_0.1deg_reg_ensemble/tg_ens_mean_0.1deg_reg_v31.0e.nc

    Exact E-OBS file used.

  5. usesdoi:10.1002/qj.3803

    ERA5 reanalysis temperatures for Korean sites.

  6. useshttps://open-meteo.com/en/docs/historical-weather-api

    Access path for ERA5 daily temperatures.

  7. usesdoi:10.1175/JTECH-D-11-00103.1

    GHCN-Daily, used to check the parsed JMA temperatures.

  8. reviewsdoi:10.1038/nature15402

    Reported declining temperature sensitivity of spring leaf unfolding; we test whether such a decline needs a physiological cause.

  9. supportsdoi:10.1111/gcb.15746

    Proposed that declining sensitivity can be an artifact of a non-linear response; our Swiss result agrees, our Japanese result does not show the decline.

  10. supportsdoi:10.1111/gcb.13781

    Related changes of Swiss spring sensitivity to shifts of the preseason; our Swiss monthly decomposition shows the reduced April response.

  11. usesdoi:10.1006/jtbi.2000.2178

    Framework of forcing-only, alternating and sequential phenology models.

  12. doi:10.1002/joc.1594

    Long Kyoto cherry flowering series and its temperature relation.

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