Manfredo A Turcios-Casco, Alexandre Schiavetti, Pablo Teta
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引用次数: 0
Abstract
Objective: Citizen science supports conservation by contributing species occurrence data and promoting environmental education. However, the accuracy of these data remains a concern, particularly for endemic and poorly studied species. This study evaluates the spatial accuracy of citizen science records for the Roatán agouti (Dasyprocta ruatanica), an insular mammal endemic to the Bay Islands of Honduras. We specifically analysed geographic records sourced from the Global Biodiversity Information Facility (GBIF), mainly contributed through iNaturalist, to assess georeferencing quality and discuss potential misidentifications with the more widespread D. punctata.
Results: Of 181 georeferenced records analysed, 80.11% were incorrectly placed-many located in the Atlantic Ocean rather than on Roatán-with a mean distance was 8.15 km (SD = 20.9 km), although the distribution was highly skewed due to a few extreme misplaced records. Furthermore, potential confusion between D. ruatanica and D. punctata was noted, likely due to morphological similarities and photographic limitations. These findings highlight the importance of careful precise geolocation and species identification when using citizen science data for conservation purposes, especially for insular endemics. Improved validation protocols and expert oversight are necessary to enhance the reliability of such records in biodiversity monitoring.
BMC Research NotesBiochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍:
BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.