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Assessing citizen science data quality for bird monitoring in the Iberian Peninsula.

Authors :
Prenda, J.
Domínguez-Olmedo, J. L.
López-Lozano, E.
Fernández de Villarán, R.
Negro, J. J.
Source :
Scientific Reports. 9/2/2024, Vol. 14 Issue 1, p1-17. 17p.
Publication Year :
2024

Abstract

Citizen science data on biodiversity has experienced significant growth, largely driven by advancements in technology that facilitate data sharing. In recent years, mobile applications have provided a substantial boost to both the collection and sharing of this data. While this accessible information is undoubtedly valuable, we must consider the numerous biases present in this data when used for high-quality research. In this study, we analyse citizen science data for the birds of the Iberian Peninsula, comprising over 23 million unique records after filtering for duplicates (i.e., instances where the same observation was uploaded more than once). Using a 10 × 10 km square grid, we present information on well-surveyed cells (completeness) as well as temporal, taxonomic, geographical, and land use coverages. We found that the completeness of information is generally high, with better coverage around densely populated areas such as major cities and coastal regions, as well as popular birding destinations, which are frequently visited. The Mediterranean ecoregion and wetlands exhibit the highest levels of surveying. Furthermore, we observed an increase in temporal coverage since the 1980s and broad taxonomic coverage across all bird orders in the Iberian region. Our results underscore the utility of citizen science for many locations, as expressed in 10 × 10 km cells. However, they also highlight the inadequate data completeness across part of the territory, particularly in forested or sparsely inhabited areas. These findings not only identify cells suitable for bird diversity or conservation studies but also indicate areas where citizen-driven bird recording efforts should be encouraged. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Volume :
14
Issue :
1
Database :
Academic Search Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
179395407
Full Text :
https://doi.org/10.1038/s41598-024-70827-3