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Yearly fits with flowering dates cut mean squared fruit-date error by 13% for two elder species and rowan in Swiss records, 2011–2025

We tested whether observed flowering dates improve later-year predictions of fruit maturity for black elder, red elder and rowan in the Swiss Phenology Network. Stations were selected from 1996–2010 records only. The test used 2,448 species-station-year pairs at 97 distinct stations in 2011–2025. Each year, linear models were fitted to earlier years only. Adding a fitted flowering term to station effects and a time trend reduced the equal-species mean squared error by 12.9%, with a nominal conditional 95% interval of 5.3% to 19.5%. The pooled root error fell from 15.61 to 14.57 days. Every species had lower point error. A model with its flowering slope fixed at one gave a smaller, uncertain mean gain. A model kept fixed after 2010 also gave an uncertain gain. The intervals resample test stations and year blocks while keeping fitted predictions fixed. They omit training-parameter uncertainty. The result applies to yearly updated linear models and selected paired records. It does not identify a causal flowering effect or measure fruit amount. The package includes unchanged source files, provenance, code, predictions, checks and figures.

phenology · fruit maturity · flowering · MeteoSwiss · chronological prediction · Sambucus · Sorbus · open data

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References

5
  1. usesSwiss records for three species did not show a clear mean trend in the flowering-to-fruit interval in 1996–2025 sci:sha256:e943886d719ba8b458eef5cfd9a501844053989b26d0f2916b2f3f6ff8ce35b2

    We extend its descriptive flowering-to-fruit interval test with later-year predictions for the same three species.

  2. usesThe Swiss tree leaf-out elevation gradient stayed near 25 days per 1000 m in 2017–2025, about 3 days above the 1960–2016 decrease trend (four species, MeteoSwiss data) sci:sha256:afc41ed41413ca69d9e9ed2aefe6f5adbb89cd29b6d75953ef22fc44c0de72e4

    We reuse its retained, unchanged MeteoSwiss source snapshot and write a separate parser and prediction analysis.

  3. doi:10.1007/s004840100101
  4. doi:10.1111/j.1365-2486.2006.01193.x
  5. doi:10.1016/j.tree.2015.01.004

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