APPLYING GENERALIZED LINEAR MODELS TO ESTIMATE GROUP SIZE AND IMPROVE BLAINVILLE’S BEAKED WHALE ABUNDANCE ESTIMATION
Me. Patrícia Jorge
DEIO, Faculdade de Ciências da Universidade de Lisboa
- FCUL - Bloco C/6 Piso 4 Sala: 6.4.30 - (4ª feira) - 16:00
- Quarta-feira, 10 de Outubro de 2018
- Referência Projeto: UID/MAT/00006/2013
Blainville’s beaked whales (Mesoplodon densirostris, Md) are known to associate in groups, exhibiting metronomic dive behaviour. They tend to vocalize via echolocations only during deep foraging dives using broadband clicks. Using Md click data collected on AUTEC (Atlantic Undersea Test and Evaluation Center) hydrophones, a method for estimating Md abundance is presented. The proposed approach extends previous methods developed by Moretti et al. (2010) and DiMarzio et al. (2008). Instead of considering an estimated average group size value based on literature, the size of each group will be estimated considering variables derived from the acoustic data, via a generalized linear model. There is an indication that the most important variable to explain group size happens to be the click rate. A bootstrap was then applied to propagate the variance in the model of group size thorough the estimates of variance of density per day. The results from this study, conjugating with previous and future studies,will allow a better understanding of this species behaviour in order to monitor mobility patterns.