Assessing data bias in visual surveys from a cetacean monitoring programme

• Tipo: Artigo em Revista Científica Internacional
• Data: 2022

Autores

Oliveira Rodrigues, C (Autor) Outra; Correia, AM (Autor) Outra; Valente, R (Autor) Outra; Gil, Á (Autor) Outra; Gandra, M (Autor) Outra; Liberal, M (Autor) Outra; Rosso, M (Autor) Outra; Pierce, G (Autor) Outra; Isabel Sousa Pinto (Autor) FCUP

Revista

Título: Scientific Data

Vol. 9

Editora: Springer Nature

Indexação

Scopus

Outras Informações

ID Authenticus: P-00X-EW2

DOI: 10.1038/s41597-022-01803-7

Abstract (EN): Long-term monitoring datasets are fundamental to understand physical and ecological responses to environmental changes, supporting management and conservation. The data should be reliable, with the sources of bias identified and quantified. CETUS Project is a cetacean monitoring programme in the Eastern North Atlantic, based on visual methods of data collection. This study aims to assess data quality and bias in the CETUS dataset, by 1) applying validation methods, through photographic confirmation of species identification; 2) creating data quality criteria to evaluate the observer¿s experience; and 3) assessing bias to the number of sightings collected and to the success in species identification. Through photographic validation, the species identification of 10 sightings was corrected and a new species was added to the CETUS dataset. The number of sightings collected was biased by external factors, mostly by sampling effort but also by weather conditions. Ultimately, results highlight the importance of identifying and quantifying data bias, while also yielding guidelines for data collection and processing, relevant for species monitoring programmes based on visual methods. © 2022, The Author(s).

Idioma: Inglês

Tipo (Avaliação Docente): Científica