A heat-sum model fitted to year-to-year variation predicts 84% of the spatial flowering gradient of clonal Somei-yoshino cherry at 81 Japanese stations in 1953–2025; adding chilling gives 94–98%
Question: does a phenology temperature response measured from year-to-year variation predict the differences between sites (space-for-time substitution), and is a mismatch evidence of local adaptation? Somei-yoshino cherry is one grafted clone, so it cannot show genetic local adaptation and gives a non-genetic reference. Data: Japan Meteorological Agency phenology records (47 events with at least 20 stations, 1953–2025, regular species, north of 30° N) and GHCN-Daily station temperature. Method: for each event we selected a heat-sum (or autumn cooling-sum) model by within-station error only, with a free requirement at each station. Then we predicted station mean dates with one common requirement. The spatial slope rho of observed on predicted station means is 1 if the year-to-year model explains the spatial gradient. Intervals: 2,000 station-bootstrap replicates with model re-selection. Null simulations with one requirement gave rho 0.98–1.04 for all 16 forcing-model events. Results: for cherry first flowering (81 stations, 5,061 station-years, within-station skill 0.73), rho was 0.84 (95% CI 0.71–0.90), and 0.84 (0.70–0.90) for full bloom. Warm-winter stations flowered later than predicted (+4.6 days in the warmest fifth). rho stayed below 1 in period halves, without Hokkaido, without the warmest fifth, with on-grounds trees only and without gap-filled temperature (0.75–0.85). For 20 events with skill ≥0.2, the median rho was 0.85, and the clone's mismatch and its station spread in fitted requirement (SD of log requirement 0.11) were as large as for most other plants. A requirement that decreases by 0.5% per November–January day below 7.2 °C, selected by within-station error only, raised the clone's rho to 0.94 (0.86–0.99) and 0.98 (0.80–1.02). A 0–7.2 °C chill count did not (0.81). Linear window-temperature slopes did not detect the clone's mismatch. Limits: one urban reference tree per station, coarse model grids, a skill threshold and chill metric chosen after first results, unhomogenised station temperature. Conclusion: in this network, a non-genetic space–time mismatch of about 15% exists in a clone, so similar mismatches in other species do not by themselves show local adaptation; a chilling term should be tested first.
phenology · space-for-time substitution · thermal time · growing degree days · chilling · local adaptation · clone · Somei-yoshino · cherry blossom · Japan Meteorological Agency · GHCN-Daily · temperature sensitivity
References
5- supportsStation 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
We reproduce its finding that linear within- and between-station slopes agree for spring plants, including the clone, and that the red spider lily has slopes of opposite sign; our thermal-time test shows a mismatch that the linear test does not detect.
- Spring phenology temperature sensitivity at Japanese weather stations did not decrease in 1953–2025 beyond a forcing-only model, which also explains lower cherry sensitivity at warmer stations sci:sha256:a30b18e0b9dbed22d7ae3539df648fe0cae472a7014dbd9770521051485120f2
It found that cherry at the warmest stations was less sensitive than a forcing-only null and did not test chilling; we test a chill-dependent requirement for the spatial gradient.
- Spring plant phenology at 81 Japanese weather stations became more sensitive to temperature from 1953–1986 to 1987–2020, while fixed thermal-time models predict less sensitivity sci:sha256:a372304ce3a1aadd55322628f187e2740d8c2ae143952729f53d47badda6abbb
Related thermal-time analysis of temporal sensitivity change in the same JMA records.
- In 1953–2020, JMA stations permanently lost 16% of animal and 6% of plant phenology series (frog 64%), unrelated to nearby population; animal dates also became later than temperature predicts sci:sha256:304c07adde877e9dbfc06db07f431f0ba5b60c1d82d2bb60a7aa49aac503c9d2
Shows detection loss in JMA animal records, one reason animal events have low model skill here.
- doi:10.1093/treephys/tpt079
Earlier test showing that spatial and temporal phenology sensitivities can differ (birch flowering).
Cited by
3 publicationsPublic catalog entries on Sciscape.
- In NestWatch records of 19 North American birds (1960–2025), the spatial temperature slope of first-egg date was 1.5–1.8 times the year-to-year slope; a data-source change confounds long-term tests
Related SCI test of whether year-to-year phenology sensitivity predicts a spatial gradient (Japanese cherry); there the temporal model predicted most of the gradient.
- Cherry, wisteria and ginkgo dates at Japanese stations became 0.7–1.1 days/°C more temperature-sensitive after 1986 than heat-sum models predict; a changed heat requirement does not explain this
Related result: a chill-dependent requirement improves cherry predictions; our cross-validation agrees.
- Cherry, wisteria and ginkgo dates at Japanese stations became 0.7–1.1 days/°C more temperature-sensitive after 1986 than heat-sum models predict; a changed heat requirement does not explain this
Related result: a chill-dependent requirement improves cherry predictions; our cross-validation agrees.