Development of the European ladybirds smartphone application: a tool for citizen science

Skuhrovec, Jiří; Roy, Helen E. ORCID: https://orcid.org/0000-0001-6050-679X; Brown, Peter M.J.; Kazlauskis, Karolis; Inghilesi, Alberto F.; Soares, Antonio O.; Adriaens, Tim; Roy, David B. ORCID: https://orcid.org/0000-0002-5147-0331; Nedvěd, Oldřich; Zach, Peter; Viglášová, Sandra; Kulfan, Ján; Honek, Alois; Martinkova, Zdenka. 2021 Development of the European ladybirds smartphone application: a tool for citizen science. Frontiers in Ecology and Evolution, 9, 741854. 8, pp. 10.3389/fevo.2021.741854

Before downloading, please read NORA policies.

Preview

Text
N531489JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
Download (1MB) | Preview

Official URL: https://doi.org/10.3389/fevo.2021.741854

Abstract/Summary

Wildlife observations submitted by volunteers through citizen science initiatives are increasingly used within research and policy. Ladybirds are popular and charismatic insects, with most species being relatively easy to identify from photographs. Therefore, they are considered an appropriate taxonomic group for engaging people through citizen science initiatives to contribute long-term and large-scale datasets for use in many different contexts. Building on the strengths of a mass participation citizen science survey on ladybirds in the United Kingdom, we have developed a mobile application for ladybird recording and identification across Europe. The main aims of the application are to: (1) compile distribution data for ladybird species throughout Europe, and use this to assess changes in distribution over time; (2) connect and engage people in nature and increase awareness about the diversity and ecological importance of ladybirds. In developing the application we first constructed a database including ladybird species from the United Kingdom, Czech Republic, Slovakia, Italy, Belgium, and Portugal with associated information on relevant morphological features (e.g., size, main color, pronotum pattern) to inform identification. Additionally, the species were assessed on the basis of probability of occurrence within each country which enables users to reduce the number of species to only those with relevance to the location of the recorder. This is amongst the first collaborative citizen science approaches aimed at involving participants across Europe in recording a group of insects. In the near future, we aim to expand the use of the application to all countries in Europe.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.3389/fevo.2021.741854
UKCEH and CEH Sections/Science Areas:	Biodiversity (Science Area 2017-)
ISSN:	2296-701X
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	coccinellids, community science, species distribution, large-scale, smartphone mobile app
NORA Subject Terms:	Ecology and Environment Electronics, Engineering and Technology
Date made live:	01 Dec 2021 17:43 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/531489

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.3389/fevo.2021.741854

UKCEH and CEH Sections/Science Areas:

Biodiversity (Science Area 2017-)

ISSN:

2296-701X

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

coccinellids, community science, species distribution, large-scale, smartphone mobile app