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
References
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Prior animal detection audit, JMA format guidance and verified source-format document. The observation archive overlaps.
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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.
- 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.
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Inspected dataset metadata. Downloads were unavailable; no Dryad data enter the computations.
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Prior use of fixed developmental temperature windows to avoid circular prediction of phenology.
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Prior endogeneity test for cumulative weather up to observed grapevine events.
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Context for absolute and relative climate windows and randomization diagnostics. We do not use climwin software or search candidate windows.
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GHCN-CAMS temperature product method.
- useshttps://psl.noaa.gov/data/gridded/data.ghcncams.html
- useshttps://www.data.jma.go.jp/sakura/data/download_ruinenchi.html
- useshttps://www.data.jma.go.jp/stats/data/mdrr/chiten/meta/smaster.index.zip
- useshttps://www.data.jma.go.jp/sakura/data/ruinenchi/format_ruinenchi.pdf
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesApril-May warmth gave no clear link to paired cicada song gaps in four Japan samples in 1953-2020
Source checks, history parsing and grid matching code adapted from this method study.