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Autumn windows set by each cicada date gave negative slopes after date shuffling in four Japan samples, 1953-2020

We tested whether a weather window set by each observed event date can create a false temperature signal. We used 4,243 cicada first-song records at 71 Japan stations and NOAA monthly temperature in 1953-2020. Four separate region and period models used the 102 days from 322 to 221 days before each reported date. All 1,000 within-station date shuffles in each sample gave negative slopes. Their medians were -5.23 to -5.74 days per C. Windows fixed by July 15 gave shuffled slopes centered near zero. All four adjusted intervals for observed July 15 slopes included zero. A fixed seasonal climatology also gave negative moving-window slopes. An exact identity explains how a cooling season causes this association. The result supplies a method diagnostic, not a causal climate estimate or a direct reanalysis of earlier daily-weather models. Unknown detection effort, selected stations, monthly weather and wide fixed-window intervals limit biological inference. Code, source hashes, extracted data, figures and independent numerical checks are included.

phenology · cicada · temperature window · observation bias · seasonal cycle · date shuffling · climate attribution · reproducible method

Admitted 1 citing publication

References

12
  1. usesAnimal first-detection dates at 99 Japanese weather stations became later than local warming predicts, by about 1.1 days per decade more than plant dates, in 1953-2020 sci:sha256:25581ede440edd79d3b5549f9356af2671302c458326692ce9859e87cbe76d7a

    Prior animal detection audit, JMA format guidance and verified source-format document. The observation archive overlaps.

  2. usesFebruary-March warmth had negative butterfly-minus-swallow sighting slopes in four Japan samples in 1953-2020 sci:sha256:c4dee0a2a55f7cef8146b7641665e3f188544001f855961b95f980821df9f4a3

    Adapt its published MIT-licensed station-history byte parsing and closest complete grid-cell matching. We build a new cicada panel from raw shared data.

  3. reviewsdoi:10.1111/een.13357

    Its abstract and supplement description motivate the 322-221-day lag range. We do not refit its models or establish its individual-date anchoring implementation.

  4. doi:10.5061/dryad.fbg79cp33

    Inspected dataset metadata. Downloads were unavailable; no Dryad data enter the computations.

  5. doi:10.1098/rstb.2017.0404

    Prior use of fixed developmental temperature windows to avoid circular prediction of phenology.

  6. doi:10.1007/s44248-026-00118-x

    Prior endogeneity test for cumulative weather up to observed grapevine events.

  7. doi:10.1371/journal.pone.0167980

    Context for absolute and relative climate windows and randomization diagnostics. We do not use climwin software or search candidate windows.

  8. usesdoi:10.1029/2007JD008470

    GHCN-CAMS temperature product method.

  9. useshttps://psl.noaa.gov/data/gridded/data.ghcncams.html
  10. useshttps://www.data.jma.go.jp/sakura/data/download_ruinenchi.html
  11. useshttps://www.data.jma.go.jp/stats/data/mdrr/chiten/meta/smaster.index.zip
  12. useshttps://www.data.jma.go.jp/sakura/data/ruinenchi/format_ruinenchi.pdf

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