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Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour
The often opportunistic nature of biological recording via citizen science leads to taxonomic, spatial and temporal biases which add uncertainty to biodiversity estimates. However, such biases may also give valuable insight into volunteers’ recording behaviour. Using Greater London as a case-study w...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020317/ https://www.ncbi.nlm.nih.gov/pubmed/27619155 http://dx.doi.org/10.1038/srep33051 |
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author | Boakes, Elizabeth H. Gliozzo, Gianfranco Seymour, Valentine Harvey, Martin Smith, Chloë Roy, David B. Haklay, Muki |
author_facet | Boakes, Elizabeth H. Gliozzo, Gianfranco Seymour, Valentine Harvey, Martin Smith, Chloë Roy, David B. Haklay, Muki |
author_sort | Boakes, Elizabeth H. |
collection | PubMed |
description | The often opportunistic nature of biological recording via citizen science leads to taxonomic, spatial and temporal biases which add uncertainty to biodiversity estimates. However, such biases may also give valuable insight into volunteers’ recording behaviour. Using Greater London as a case-study we examined the composition of three citizen science datasets – from Greenspace Information for Greater London CIC, iSpot and iRecord - with respect to recorder contribution and spatial and taxonomic biases, i.e. when, where and what volunteers record. We found most volunteers contributed few records and were active for just one day. Each dataset had its own taxonomic and spatial signature suggesting that volunteers’ personal recording preferences may attract them towards particular schemes. There were also patterns across datasets: species’ abundance and ease of identification were positively associated with number of records, as was plant height. We found clear hotspots of recording activity, the 10 most popular sites containing open water. We note that biases are accrued as part of the recording process (e.g. species’ detectability) as well as from volunteer preferences. An increased understanding of volunteer behaviour gained from analysing the composition of records could thus enhance the fit between volunteers’ interests and the needs of scientific projects. |
format | Online Article Text |
id | pubmed-5020317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50203172016-09-19 Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour Boakes, Elizabeth H. Gliozzo, Gianfranco Seymour, Valentine Harvey, Martin Smith, Chloë Roy, David B. Haklay, Muki Sci Rep Article The often opportunistic nature of biological recording via citizen science leads to taxonomic, spatial and temporal biases which add uncertainty to biodiversity estimates. However, such biases may also give valuable insight into volunteers’ recording behaviour. Using Greater London as a case-study we examined the composition of three citizen science datasets – from Greenspace Information for Greater London CIC, iSpot and iRecord - with respect to recorder contribution and spatial and taxonomic biases, i.e. when, where and what volunteers record. We found most volunteers contributed few records and were active for just one day. Each dataset had its own taxonomic and spatial signature suggesting that volunteers’ personal recording preferences may attract them towards particular schemes. There were also patterns across datasets: species’ abundance and ease of identification were positively associated with number of records, as was plant height. We found clear hotspots of recording activity, the 10 most popular sites containing open water. We note that biases are accrued as part of the recording process (e.g. species’ detectability) as well as from volunteer preferences. An increased understanding of volunteer behaviour gained from analysing the composition of records could thus enhance the fit between volunteers’ interests and the needs of scientific projects. Nature Publishing Group 2016-09-13 /pmc/articles/PMC5020317/ /pubmed/27619155 http://dx.doi.org/10.1038/srep33051 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Boakes, Elizabeth H. Gliozzo, Gianfranco Seymour, Valentine Harvey, Martin Smith, Chloë Roy, David B. Haklay, Muki Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour |
title | Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour |
title_full | Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour |
title_fullStr | Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour |
title_full_unstemmed | Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour |
title_short | Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour |
title_sort | patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020317/ https://www.ncbi.nlm.nih.gov/pubmed/27619155 http://dx.doi.org/10.1038/srep33051 |
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