Image_3_Seasonality in Human Interest in Berry Plants Detection by Google Trends.TIF

The phenology of berry-producing plants, particularly their harvest season, is of human interest and also reflects the ecosystem’s response to the changing environment. We investigated the seasonal dynamics of human interest in berries growing in boreal, subarctic and Arctic ecosystems, mainly in Ru...

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Main Authors: Ayumi Kotani (11369460), Nagai Shin (11211257), Shunsuke Tei (7484975), Andrey Makarov (3122745), Tuyara Gavrilyeva (11369463)
Format: Still Image
Language:unknown
Published: 2021
Subjects:
Online Access:https://doi.org/10.3389/ffgc.2021.688835.s005
id ftsmithonian:oai:figshare.com:article/16551786
record_format openpolar
spelling ftsmithonian:oai:figshare.com:article/16551786 2023-05-15T15:03:02+02:00 Image_3_Seasonality in Human Interest in Berry Plants Detection by Google Trends.TIF Ayumi Kotani (11369460) Nagai Shin (11211257) Shunsuke Tei (7484975) Andrey Makarov (3122745) Tuyara Gavrilyeva (11369463) 2021-09-01T04:34:27Z https://doi.org/10.3389/ffgc.2021.688835.s005 unknown https://figshare.com/articles/figure/Image_3_Seasonality_in_Human_Interest_in_Berry_Plants_Detection_by_Google_Trends_TIF/16551786 doi:10.3389/ffgc.2021.688835.s005 CC BY 4.0 CC-BY Agroforestry Forestry Biomass and Bioproducts Forestry Fire Management Forestry Management and Environment Forestry Pests Health and Diseases Google Trends public interest harvest season phenology wild berry social sensing Image Figure 2021 ftsmithonian https://doi.org/10.3389/ffgc.2021.688835.s005 2021-12-20T03:07:23Z The phenology of berry-producing plants, particularly their harvest season, is of human interest and also reflects the ecosystem’s response to the changing environment. We investigated the seasonal dynamics of human interest in berries growing in boreal, subarctic and Arctic ecosystems, mainly in Russia, based on internet search data via Google Trends. There is a typical and culture-specific pattern of seasonal variations in search volume concerning berries across Russia, Finland, and Canada. Generally, the seasonal peak of search corresponds to the common berry harvest season across these countries. We discussed the potential and limitation for detecting ecological factors from the internet search data, in which physical phenomena and socio-cultural aspects are fundamentally superimposed, and its applicability to phenological studies. Still Image Arctic Subarctic Unknown Arctic Canada
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
language unknown
topic Agroforestry
Forestry Biomass and Bioproducts
Forestry Fire Management
Forestry Management and Environment
Forestry Pests
Health and Diseases
Google Trends
public interest
harvest season
phenology
wild berry
social sensing
spellingShingle Agroforestry
Forestry Biomass and Bioproducts
Forestry Fire Management
Forestry Management and Environment
Forestry Pests
Health and Diseases
Google Trends
public interest
harvest season
phenology
wild berry
social sensing
Ayumi Kotani (11369460)
Nagai Shin (11211257)
Shunsuke Tei (7484975)
Andrey Makarov (3122745)
Tuyara Gavrilyeva (11369463)
Image_3_Seasonality in Human Interest in Berry Plants Detection by Google Trends.TIF
topic_facet Agroforestry
Forestry Biomass and Bioproducts
Forestry Fire Management
Forestry Management and Environment
Forestry Pests
Health and Diseases
Google Trends
public interest
harvest season
phenology
wild berry
social sensing
description The phenology of berry-producing plants, particularly their harvest season, is of human interest and also reflects the ecosystem’s response to the changing environment. We investigated the seasonal dynamics of human interest in berries growing in boreal, subarctic and Arctic ecosystems, mainly in Russia, based on internet search data via Google Trends. There is a typical and culture-specific pattern of seasonal variations in search volume concerning berries across Russia, Finland, and Canada. Generally, the seasonal peak of search corresponds to the common berry harvest season across these countries. We discussed the potential and limitation for detecting ecological factors from the internet search data, in which physical phenomena and socio-cultural aspects are fundamentally superimposed, and its applicability to phenological studies.
format Still Image
author Ayumi Kotani (11369460)
Nagai Shin (11211257)
Shunsuke Tei (7484975)
Andrey Makarov (3122745)
Tuyara Gavrilyeva (11369463)
author_facet Ayumi Kotani (11369460)
Nagai Shin (11211257)
Shunsuke Tei (7484975)
Andrey Makarov (3122745)
Tuyara Gavrilyeva (11369463)
author_sort Ayumi Kotani (11369460)
title Image_3_Seasonality in Human Interest in Berry Plants Detection by Google Trends.TIF
title_short Image_3_Seasonality in Human Interest in Berry Plants Detection by Google Trends.TIF
title_full Image_3_Seasonality in Human Interest in Berry Plants Detection by Google Trends.TIF
title_fullStr Image_3_Seasonality in Human Interest in Berry Plants Detection by Google Trends.TIF
title_full_unstemmed Image_3_Seasonality in Human Interest in Berry Plants Detection by Google Trends.TIF
title_sort image_3_seasonality in human interest in berry plants detection by google trends.tif
publishDate 2021
url https://doi.org/10.3389/ffgc.2021.688835.s005
geographic Arctic
Canada
geographic_facet Arctic
Canada
genre Arctic
Subarctic
genre_facet Arctic
Subarctic
op_relation https://figshare.com/articles/figure/Image_3_Seasonality_in_Human_Interest_in_Berry_Plants_Detection_by_Google_Trends_TIF/16551786
doi:10.3389/ffgc.2021.688835.s005
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/ffgc.2021.688835.s005
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