ABSTRACT
Background: Through citizen science projects, like Projeto Bromélias, community members contribute valuable data on species diversity, notably those with low detectability like the Heterodactylusimbricatus lizard. A recent observation in the State of Espírito Santo (south-eastern Brazil), amidst coffee and eucalyptus crops, highlights the utility of widespread technology use in tracking and documenting wildlife. Such initiatives are especially beneficial for mapping the distribution of rare, endemic or endangered reptiles. Therefore, we advocate for more citizen science initiatives near protected areas, involving local communities. New information: We provide a new record for the species Heterodactylusimbricatus, a microteiid lizard of low detectability from the Atlantic Forest of south-eastern Brazil. Heterodactylusimbricatus (Rio de Janeiro Teiid) was recorded near the protected area "Reserva Biológica Augusto Ruschi" by a citizen volunteer who contributes herpetofauna records to the Bromelias Project (https://www.inaturalist.org/projects/projeto-bromelias). Heterodactylusimbricatus is a very poorly-known species in the localities where it occurs, probably due to its fossorial habit, genera's restricted occurrence range, habitat specificity and the absence of proper survey methods fitted to fossorial species, such as the utilisation of pitfall traps. By publishing the records of volunteer citizens, we hope that more people will contribute to increase the knowledge of biodiversity in the mountainous region of Espírito Santo State and expand our collective knowledge.
ABSTRACT
Although the quality of citizen science (CS) data is often a concern, evidence for high-quality CS data increases in the scientific literature. This study aimed to assess the data reliability of a structured CS protocol for monitoring stingless bees' flight activity. We tested (1) data accuracy for replication among volunteers and for expert validation and (2) precision, comparing dispersion between citizen scientists and expert data. Two distinct activity dimensions were considered: (a) perception of flight activity and (b) flight activity counts (entrances, exits, and pollen load). No significant differences were found among groups regarding entrances and exits. However, replicator citizen scientists presented a higher chance of perceiving pollen than original data collectors and experts, likely a false positive. For those videos in which there was an agreement about pollen presence, the effective pollen counts were similar (with higher dispersion for citizen scientists), indicating the reliability of CS-collected data. The quality of the videos, a potential source of variance, did not influence the results. Increasing practical training could be an alternative to improve pollen data quality. Our study shows that CS provides reliable data for monitoring bee activity and highlights the relevance of a multi-dimensional approach for assessing CS data quality.
