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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

Question: does local temperature explain the long-term change in seasonal event dates? We used Japan Meteorological Agency phenology records (47 events, 20-92 stations each, 136,444 station-years, 1953-2025; animal records end in 2020) and GHCN-M v4 monthly temperature from the same stations. For each event, we calculated the date-temperature slope from year-to-year variation within stations and the slope from the differences between stations. We used one calendar temperature window per event. Then we divided the 70-year date trend into a temperature part (interannual slope multiplied by station warming) and a residual part. The 95% CIs come from a joint bootstrap that resamples stations and 5-year blocks of years. Spring plant events (16) advanced by 0.78 days/decade. The temperature part was -0.95 days/decade, and the mean residual was +0.17 days/decade (CI -0.18 to +0.55). The residual for clonal Somei-yoshino cherry flowering was -0.15 (CI -0.36 to +0.09). Animal first detections (20 events) had a mean residual of +1.85 days/decade (CI 1.50 to 2.21). Their observed trend was +1.26 days/decade, although warming predicted -0.58. The residual CI was above zero for 15 of the 20 events. Autumn leaf colouring and leaf fall (5 events) had a residual of +1.55 days/decade (CI 0.97 to 2.08), which was positive in all 5 events. A step of about 5 days near 1987 fits this residual better than a linear trend. Across all events, the spatial and interannual slopes had a correlation of 0.79. For spring plants they agreed on average (difference -0.01 days per degree C). The clonal red spider lily had slopes of opposite sign, so genetic uniformity does not make the two slopes equal. For animals, a larger increase in non-detection years at a station came with a larger residual delay, but this effect was small. The results stayed the same with homogenised temperature, a fixed window, multi-window models and the two halves of the period. One exception: the autumn residual was not significant within either half. Limits: monthly temperature windows, one reference tree or observer per station, and linear trends. Thus temperature-based trend attribution is reliable for spring plant events in these records. Animal first-detection trends contain a non-temperature delay of nearly 2 days/decade, so they need a correction for detection before use as climate responses.

phenology · climate change · space-for-time substitution · temperature sensitivity · Japan Meteorological Agency · first detection · autumn leaf colouring · cherry flowering · GHCN-M · trend attribution · detection bias · Somei-yoshino

Admitted 13 citing publications

References

10
  1. Earlier budburst did not cause earlier autumn yellowing or leaf fall in the same ginkgo and mulberry trees at Japanese weather stations in 1953–2020 when autumn temperature is controlled sci:sha256:11f49f6ad83249631ee87728c5812f778dc56e0d8946e8e047891f31291f2783

    Uses the same JMA phenology records to test spring-to-autumn carry-over in ginkgo and mulberry; complementary question.

  2. supportsdoi:10.1038/s41559-021-01459-3

    Reports that JMA ended animal observations because animals became difficult to observe near urban stations; agrees with our non-temperature delay in animal first-detection dates.

  3. supportsdoi:10.1016/j.biocon.2009.06.003

    Earlier report of delayed animal and advanced plant phenology in JMA records; we quantify the delay after removing the temperature part.

  4. doi:10.1016/j.biocon.2012.06.024

    Review of delayed animal phenology in Japan.

  5. doi:10.1111/j.1365-2486.2008.01619.x

    Shows that first-detection dates depend on population size; candidate mechanism for the animal residual delay.

  6. doi:10.1007/s00484-026-03308-z

    Space-time equivalence test of flowering phenology in European PEP725 data.

  7. doi:10.1016/j.agrformet.2023.109571

    Somei-yoshino bloom responses along the latitude gradient of Japan.

  8. doi:10.1111/j.1466-8238.2008.00398.x

    Earlier analysis of JMA leaf colouring and leaf fall responses.

  9. usesdoi:10.1175/JCLI-D-18-0094.1

    GHCN-M v4 station temperature.

  10. doi:10.1270/jsbbs.57.1

    Evidence that Somei-yoshino is a single clone.

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