Combining acoustic and visual detections in habitat models of Dall’s porpoise

摘要: Abstract Habitat-based distribution modelling is an established method for predicting species distributions and necessary many conservation management applications. Cetacean habitat models have primarily been developed using data from visual surveys. However, numerous techniques exist detecting animal presence each capture a portion of the true population. Combining detection gathered multiple survey methods, such as acoustic surveys, may lead to more robust picture ecology. We compare Dall’s porpoise built with versus line-transect in California Current develop combined model, utilizing both detections sightings. increases sample size allows under greater range oceanographic conditions. Consequently, model shows modest expansion predicted compared either single-source model. this study reveals that methods appear be complementary, rather than directly additive. Models display differences those data. Different predictor variables were selected across predicts shifted slightly south distribution. Results current show promise incorporating acoustics into but also identify discrepancies population sampling between these two should inform future assessments efforts.