PloS one, 2022-07, Vol.17 (7), p.e0271648
2022
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- Monitoring of cherry flowering phenology with Google Trends
- Ist Teil von
- PloS one, 2022-07, Vol.17 (7), p.e0271648
- Ort / Verlag
- United States: Public Library of Science
- Erscheinungsjahr
- 2022
- Quelle
- Free E-Journal (出版社公開部分のみ）
- Beschreibungen/Notizen
- Google Trends (GT) is an online tool designed for searching for changes over time. We assessed its use for evaluating changes in the timing of cherry flowering phenology, which is of intense interest to Japanese people. We examined the relationship between time-series of relative search volume (RSV: relative change in search requests over time obtained from the GT access engine) and cherry flowering information published on websites (as ground truth) in relation to three famous ancient cherry trees. The time-series of RSV showed an annual bell-shaped seasonal variability, and the dates of the maximum RSV tended to correspond to the dates of full bloom. Our results suggest that GT allows monitoring of multiple famous cherry flowering sites where we cannot obtain long-term flowering data to evaluate the spatiotemporal variability of cherry flowering phenology.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1932-6203eISSN: 1932-6203DOI: 10.1371/journal.pone.0271648Titel-ID: cdi_plos_journals_2692658275
- Format
- –
- Schlagworte
- Biology and Life Sciences, Cherry, Coronaviruses, COVID-19, Earth Sciences, Evaluation, Flowering, Flowering cherries, Flowers, Fruit trees, Fruits, Humans, Management, Monitoring, People and Places, Phenology, Plants, Flowering of, Research and Analysis Methods, Search Engine, Search engines, Seasonal variability, Seasonal variations, Seasons, Social Sciences, Time series, Trees, Trends, Websites