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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Online Access: | https://doi.org/10.3389/ffgc.2021.688835.s005 |
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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 |
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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 |
_version_ |
1766334935009853440 |