Estimation of true dates of various flowering stages at a centennial scale by applying a Bayesian statistical state space model

Evaluation of long-term detailed cherry flowering phenology is required for a deep understanding of the sensitivity of spring phenology to climate change and its effect on cultural ecosystem services. Neodani Usuzumi-zakura (Cerasus itosakura) is a famous cherry tree in Gifu, Japan. On the basis of detailed decadal flowering phenology information published on the World Wide Web, we estimated the probability distributions of the year-to-year variability of the true dates of first flowering (FFL), first full bloom (FFB), last full bloom (LFB), and last flowering (LFL) from 1924 to 2024 by applying a Bayesian statistical state space model explained by air temperature data. We verified the estimated values against flowering phenology records of the tree from the literature and a private collection. The true dates of FFL and FFB could be explained by means of daily minimum air temperature from 1 December to 28/29 February and that of daily mean air temperature from 1 to 31 March, and those of LFB and LFL by means of daily mean air temperature from 1 to 10 April. Results were similar when we used air temperature data recorded at weather stations both 1 km and 29 km from the tree. These results indicated that our proposed Bayesian statistical state space model can estimate cherry flowering phenology that takes into account centennial-scale air temperature data recorded at a nearby weather station with a coarse temporal resolution.

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Publication Details

Journal
PLoS ONE
Published
2025-02-05
DOI
https://doi.org/10.1371/journal.pone.0317708
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Estimation of true dates of various flowering stages at a centennial scale by applying a Bayesian statistical state space model

Shin Nagai, Hirokazu Fujiwara, Taku M. Saitoh, Hiroshi Morimoto et al.
PLoS ONE
Plant and animal studies
article

Estimation of true dates of various flowering stages at a centennial scale by applying a Bayesian statistical state space model

Shin Nagai, Hirokazu Fujiwara, Taku M. Saitoh, Hiroshi Morimoto, Shizuyuki Sugiyama
article en

Abstract

Evaluation of long-term detailed cherry flowering phenology is required for a deep understanding of the sensitivity of spring phenology to climate change and its effect on cultural ecosystem services. Neodani Usuzumi-zakura (Cerasus itosakura) is a famous cherry tree in Gifu, Japan. On the basis of detailed decadal flowering phenology information published on the World Wide Web, we estimated the probability distributions of the year-to-year variability of the true dates of first flowering (FFL), first full bloom (FFB), last full bloom (LFB), and last flowering (LFL) from 1924 to 2024 by applying a Bayesian statistical state space model explained by air temperature data. We verified the estimated values against flowering phenology records of the tree from the literature and a private collection. The true dates of FFL and FFB could be explained by means of daily minimum air temperature from 1 December to 28/29 February and that of daily mean air temperature from 1 to 31 March, and those of LFB and LFL by means of daily mean air temperature from 1 to 10 April. Results were similar when we used air temperature data recorded at weather stations both 1 km and 29 km from the tree. These results indicated that our proposed Bayesian statistical state space model can estimate cherry flowering phenology that takes into account centennial-scale air temperature data recorded at a nearby weather station with a coarse temporal resolution.

PLoS ONEVol. 20(2)
Japan Agency for Marine-Earth Science and Technology (JP), Motosu Shoyo High School (JP), Gifu University (JP), Nagoya University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 98%
Plant and animal studies
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