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Visit intervals kept one of three winter temperature slopes negative in selected North American cherry records from 2010 to 2024

We tested whether visit intervals preserved the sign of a winter-temperature slope in selected North American cherry records. We used 138 plant-years from a public USA-NPN extract and four region and period models with site and species effects and a linear year term. Three models gave a separate temperature slope. All three first-presence slopes were negative. Exact date bounds were -4.522 to -0.726, -5.592 to +2.828, and -7.850 to +1.694 days per degree C. The fourth slope was not identified because temperature was in the span of the controls. Removing one New York site made the early eastern bound include both signs. These are bounds for fixed records, not confidence intervals or population effects. Selected sites, sparse site-years, status errors, incomplete weather version information, and unknown earlier flowering episodes limit inference. We provide an audited panel, raw source hashes, code, extreme date assignments, numerical checks, and offline reproduction instructions. We do not test pollution, daily extremes, or causal climate effects.

phenology · cherry · observation bias · interval bounds · winter temperature · partial identification · USA-NPN · reproducible dataset

Admitted 1 citing publication

References

8
  1. reviewsWarm winters delay cherry bloom at warm sites in Japan and Korea; a fixed thermal-time model explains the Swiss drop in spring sensitivity but not the Japanese rise (1951-2023) sci:sha256:d997794cd5da3aabb17a004339fe9e877502137746ec1c02d19fd110ce5bb960

    Prior campaign study of winter warmth and cherry bloom in other national networks. We assess a different North American extract and finite-record date bounds; we do not retest its coefficients.

  2. useshttps://github.com/GMU-CherryBlossomCompetition/peak-bloom-prediction/tree/a95298263523607c8489a7be091c8c8d8ce61979/data

    Pinned source of the USA-NPN observation, phenometrics, and field-description files. Member hashes and the shared source path are preserved.

  3. usesdoi:10.5066/F78S4N1V

    Original USA-NPN data source, reused through the pinned GMU compilation.

  4. useshttps://usa-npn.github.io/rnpn/articles/VIII_data_cleaning.html

    Provider guidance on prior absences, status conflicts, and multiple first-presence series.

  5. reviewsdoi:10.48550/arXiv.2510.09702

    Prior use of interval-censored phenology models; this study gives exact bounds for a fixed-record linear coefficient instead.

  6. reviewsdoi:10.48550/arXiv.2503.04924

    Prior work on event-time bias from monitoring and status errors. We do not fit its model.

  7. doi:10.3334/ORNLDAAC/1328

    Daymet citation given in USA-NPN provider guidance. The exact weather processing release in the supplied extract is not documented.

  8. https://www.usanpn.org/about/terms

    USA-NPN data credit and license guidance.

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