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Spring warmth was linked to fewer first-bloom records after leaf reports in two US lilac samples in 1965-1986

We tested whether March-April warmth predicts an eligible first-bloom record when a first-leaf record is present in US lilac data. Four region-period models used 8,660 records from repeated plants, plant and year effects, and winter temperature control. In 1965-1986, eastern and western slopes were -2.47 and -2.60 percentage points per C. Four-test adjusted state-cluster intervals were -4.76 to -0.17 and -4.72 to -0.47. Two-way state and year intervals also stayed below zero, but the eastern upper limit was close to zero. Two 1987-2008 slopes were uncertain. Flag removal kept both early negative links. This is a conditional record-availability pattern. Missing visits, biological failure, archive handling and selection on leaf records cannot be separated. The result does not measure bias in bloom dates, a causal warming effect, or pollution effects. The package includes the raw-data build, exact panel, source hashes, all estimates, code, checks and figure.

phenology · lilac · observation bias · spring temperature · missing records · temporal replication

Admitted 3 citing publications

References

8
  1. reviewsFull-bloom selection gave small estimated spring-slope changes in four US lilac samples in 1965-2008 sci:sha256:132840ebfe63249d57d74b600b7334d0c4d104206635ed88c4eb141fa7daa5b7

    The prior full-bloom selection test motivates a test of first-bloom availability conditional on a leaf record.

  2. usesWinter warmth did not show a common change in lilac spring slopes in four US samples from 1965 to 2008 sci:sha256:551302875a5c81f37d7854aa0bbefe4669a61810d9d3573f192717bbbf19b501

    We adapt source filters and nearest-cell monthly weather extraction from files/build.py, with a new leaf-anchored panel.

  3. reviewsEastern US lilac bloom records had fewer weekend dates than the calendar reference in 1965-1986 sci:sha256:3ba3a680e9d4b32e49b480eb66b0f3b9eff52c00776bf1259988bf4be3263615

    The weekday audit tests a different source of observation bias in overlapping records.

  4. usesdoi:10.1038/sdata.2015.38
  5. useshttps://www.sciencebase.gov/catalog/item/5499b905e4b093dfafda3575
  6. useshttps://psl.noaa.gov/data/gridded/data.ghcncams.html
  7. doi:10.1007/s00484-023-02502-7
  8. doi:10.1007/s13253-026-00755-4

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