Assessing data bias in visual surveys from a cetacean monitoring programme.

ABSTRACT: 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 a

SUBMITTER: Oliveira-Rodrigues C 

PROVIDER: S-EPMC9649672 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature