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Drivers of spatio-temporal variation in mosquito submissions to the citizen science project ‘Mückenatlas’
Intensified travel activities of humans and the ever growing global trade create opportunities of arthropod-borne disease agents and their vectors, such as mosquitoes, to establish in new regions. To update the knowledge of mosquito occurrence and distribution, a national mosquito monitoring program...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809264/ https://www.ncbi.nlm.nih.gov/pubmed/33446753 http://dx.doi.org/10.1038/s41598-020-80365-3 |
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author | Pernat, Nadja Kampen, Helge Ruland, Florian Jeschke, Jonathan M. Werner, Doreen |
author_facet | Pernat, Nadja Kampen, Helge Ruland, Florian Jeschke, Jonathan M. Werner, Doreen |
author_sort | Pernat, Nadja |
collection | PubMed |
description | Intensified travel activities of humans and the ever growing global trade create opportunities of arthropod-borne disease agents and their vectors, such as mosquitoes, to establish in new regions. To update the knowledge of mosquito occurrence and distribution, a national mosquito monitoring programme was initiated in Germany in 2011, which has been complemented by a citizen science project, the ‘Mückenatlas’ since 2012. We analysed the ‘Mückenatlas’ dataset to (1) investigate causes of variation in submission numbers from the start of the project until 2017 and to (2) reveal biases induced by opportunistic data collection. Our results show that the temporal variation of submissions over the years is driven by fluctuating topicality of mosquito-borne diseases in the media and large-scale climate conditions. Hurdle models suggest a positive association of submission numbers with human population, catch location in the former political East Germany and the presence of water bodies, whereas precipitation and wind speed are negative predictors. We conclude that most anthropogenic and environmental effects on submission patterns are associated with the participants’ (recording) behaviour. Understanding how the citizen scientists’ behaviour shape opportunistic datasets help to take full advantage of the available information. |
format | Online Article Text |
id | pubmed-7809264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78092642021-01-15 Drivers of spatio-temporal variation in mosquito submissions to the citizen science project ‘Mückenatlas’ Pernat, Nadja Kampen, Helge Ruland, Florian Jeschke, Jonathan M. Werner, Doreen Sci Rep Article Intensified travel activities of humans and the ever growing global trade create opportunities of arthropod-borne disease agents and their vectors, such as mosquitoes, to establish in new regions. To update the knowledge of mosquito occurrence and distribution, a national mosquito monitoring programme was initiated in Germany in 2011, which has been complemented by a citizen science project, the ‘Mückenatlas’ since 2012. We analysed the ‘Mückenatlas’ dataset to (1) investigate causes of variation in submission numbers from the start of the project until 2017 and to (2) reveal biases induced by opportunistic data collection. Our results show that the temporal variation of submissions over the years is driven by fluctuating topicality of mosquito-borne diseases in the media and large-scale climate conditions. Hurdle models suggest a positive association of submission numbers with human population, catch location in the former political East Germany and the presence of water bodies, whereas precipitation and wind speed are negative predictors. We conclude that most anthropogenic and environmental effects on submission patterns are associated with the participants’ (recording) behaviour. Understanding how the citizen scientists’ behaviour shape opportunistic datasets help to take full advantage of the available information. Nature Publishing Group UK 2021-01-14 /pmc/articles/PMC7809264/ /pubmed/33446753 http://dx.doi.org/10.1038/s41598-020-80365-3 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Pernat, Nadja Kampen, Helge Ruland, Florian Jeschke, Jonathan M. Werner, Doreen Drivers of spatio-temporal variation in mosquito submissions to the citizen science project ‘Mückenatlas’ |
title | Drivers of spatio-temporal variation in mosquito submissions to the citizen science project ‘Mückenatlas’ |
title_full | Drivers of spatio-temporal variation in mosquito submissions to the citizen science project ‘Mückenatlas’ |
title_fullStr | Drivers of spatio-temporal variation in mosquito submissions to the citizen science project ‘Mückenatlas’ |
title_full_unstemmed | Drivers of spatio-temporal variation in mosquito submissions to the citizen science project ‘Mückenatlas’ |
title_short | Drivers of spatio-temporal variation in mosquito submissions to the citizen science project ‘Mückenatlas’ |
title_sort | drivers of spatio-temporal variation in mosquito submissions to the citizen science project ‘mückenatlas’ |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809264/ https://www.ncbi.nlm.nih.gov/pubmed/33446753 http://dx.doi.org/10.1038/s41598-020-80365-3 |
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