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Mean leaf-date gaps fell across 80 Swiss stations from 1961–1990 to 1996–2025, but correlation changes were uncertain for four species

Did annual spring leaf emergence become more correlated between Swiss stations? We tested beech, hazel, larch and spruce with unchanged MeteoSwiss open data. The same 5339 species-specific station pairs at 80 stations had at least 20 shared years in both 1961–1990 and 1996–2025. We removed linear trends on the shared years and gave equal weight to each species. The mean Fisher z change was −0.0777, with a nominal 95% year-block interval of −0.2135 to +0.1139. The transformed mean correlation changed from 0.480 to 0.418. Its change interval was −0.170 to +0.084. Thus the data did not establish an increase or decrease. In the same pairs, the mean absolute calendar-date gap fell from 15.48 to 13.44 days. This change was −2.04 days, with an interval of −2.89 to −1.07 days. Stricter coverage checks gave the same distinction. The correlation bootstrap rejected 180 of 2000 draws because a fixed pair had too little data; a stricter panel and a block-deletion check also left correlation change uncertain. Smaller calendar gaps can occur without a clear change in annual spatial correlation. The result applies to this station network and these four species. It does not measure frost damage or identify a cause. The package preserves source files, provenance, code, all estimates, figures and an exact offline reproduction check.

phenology · spatial synchrony · leaf emergence · Switzerland · MeteoSwiss · reproducibility

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References

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  1. 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 unchanged MeteoSwiss source snapshot from the retained data store. We rebuild the records and test spatial correlations and date gaps with new code.

  2. doi:10.1073/pnas.1717342115

    This study reports a smaller Swiss elevation gradient. We test the separate property of annual spatial correlation.

  3. doi:10.1111/gcb.14288

    This study provides prior evidence on elevation differences in European spring phenology.

  4. doi:10.1038/srep25460

    This study uses date spread to measure local plant synchrony. We distinguish calendar gaps from annual spatial correlations.

  5. doi:10.1146/annurev.ecolsys.34.011802.132516

    This review defines spatial synchrony as shared changes at separate locations.

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