Fig 1.
Locations of three famous cherry trees in Japan (data from Ministry of Land, Infrastructure, Transport and Tourism of Japan [27]).
Latitude and longitude values were examined by using “Google Maps”.
Fig 2.
Ten-day average temperature (lines) and precipitation (boxes) based on observations from 1991 to 2020 at Koriyama AMeDAS station near Miharu Takizakura, Oizumi AMeDAS station near Yamataka Jindaizakura, and Tarumi AMeDAS station near Neodani Usuzumizakura [28].
Table 1.
Query terms used to search Google Trends and flowering phenology data.
Fig 3.
For Miharu Takizakura, the relationship between time-series of RSV searched by “Topics” in all Japan and Fukushima and flowering information published on websites from 2019 to 2020.
For more result regarding the relationship from 2016 to 2018, see S1 Fig. mv. ave.: moving average.
Fig 4.
For Yamataka Jindaizakura, the relationship between time-series of RSV searched by “Topics” in all Japan and Yamanashi and flowering information published on websites from 2015 to 2016.
For more result regarding the relationship from 2004 to 2014, see S2 Fig. mv. ave.: moving average.
Fig 5.
For Neodani Usuzumizakura, the relationship between time-series of RSV searched by “Topics” in all Japan and Gifu and flowering information published on websites from 2020 to 2021.
For more result regarding the relationship from 2004 to 2019, see S3 Fig. mv. ave.: moving average.
Fig 6.
For each indicated tree, the relationship between the date of annual maximum RSV (= 100) searched by “Topics” in all Japan and by prefecture and the first date of full bloom based on the flowering information published on websites.
For Miharu Takizakura in 2018 in all Japan (day of year [DOY] 96 and 97), Miharu Takizakura in 2020 in Fukushima (DOY 98 and 99), and Neodani Usuzumizakura in 2014 in Gifu (DOY 80 and 102), the dates of annual maximum RSV overlapped; we selected the date closer to the date of full bloom. See statistics in Table 2.
Table 2.
Statistical relationship between the year-to-year variability of the date when the time-series of RSV reaches a maximum in all Japan and by prefecture and that of the first date of full bloom.