Assessing citizen science data quality for bird monitoring in the Iberian Peninsula
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Abstract
Citizen science data on biodiversity has experienced signifcant 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 fltering 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 fndings not only identify cells suitable for bird diversity
or conservation studies but also indicate areas where citizen-driven bird recording eforts should be
encouraged
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Bibliographic citation
Prenda, J., Domínguez-Olmedo, J. L., López-Lozano, E., Fernández de Villarán, R., & Negro, J. J. (2024). Assessing citizen science data quality for bird monitoring in the Iberian Peninsula. In Scientific Reports (Vol. 14, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41598-024-70827-3














