Web search volume as a surrogate of public interest in biodiversity: a case study of Japanese red list species
| Autor: | Akira Noda, Ji Yoon Kim, Jun Nishihiro, Ran-Young Im |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Ecology business.industry 010604 marine biology & hydrobiology Environmental resource management Big data Endangered species Volume (computing) Biodiversity internet behavior endangered species Management Monitoring Policy and Law culturomics 010603 evolutionary biology 01 natural sciences Public interest Geography citizen science Citizen science IUCN Red List business Ecology Evolution Behavior and Systematics QH540-549.5 |
| Zdroj: | Ecosystem Health and Sustainability, Vol 4, Iss 12, Pp 289-298 (2018) |
| ISSN: | 2332-8878 2096-4129 |
| Popis: | Introduction : Citizen science has contributed substantially to the quantity of biodiversity data collections and is used as an essential monitoring scheme for global conservation studies. However, there remain large gaps in the geographic and taxonomic coverage of data collections, and different levels of interest in participation and uneven distribution of participants can result in biased data collection in citizen science programs. These issues must be addressed for more efficient use of citizen science-based biodiversity data. We compared web search volumes with citizen-collected occurrence data of Japanese Red List species. Outcomes: Uneven distribution of web search volumes with different taxa was correlated with the amount of data collected by citizen-volunteered programs. Moreover, the relative web search volumes and amounts of citizen-collected data showed similar spatial patterns at the province level. Conclusion: Overall, our results indicate that web search volume can indirectly reflect potential citizen participation or interest in particular species. Web search behavior can help project coordinators estimate potential citizen engagement and refine efficient citizen participation programs for biodiversity conservation. |
| Databáze: | OpenAIRE |
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