Understanding the causes of mortality and contaminant loads of stranded cetacean species in Sardinian waters (Italy) using Bayesian Hierarchical Models

Maria Grazia Pennino*, Marie-Christine Rufener, Joan Giménez, Fiammetta Berlinguer, Enrico Bollo, Simonetta Appino, Daniele Zucca, Giannina Chessa, Andrea Rotta

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

71 Downloads (Pure)

Abstract

Cetacean strandings represent unique opportunities to collect biological material from these wild animals and obtain information on their population statuses. Here, we apply biological and pathological perspectives to analyze stranded cetaceans collected along the Sardinian coast (Italy) between 2006 and 2011. We quali-quantitatively explore the primary causes of deaths, and use Bayesian Hierarchical Models (BHMs) to explore the potential effects of cetacean sex, age, body length, and month, year, and stranding location on Dicloro Difenil Tricloroetano (DDT) and Polychlorinated Biphenyl (PCB) contaminant loads. Although natural causes, such as bacterial and virus infections, were identified to be the main causes of death among the stranded cetaceans, fisheries also played an important role among the anthropogenic causes of death. The BHMs revealed that both contaminants were positively related to the length, sex and age of the cetaceans, and that higher concentrations of these contaminants were mainly found in larger and older individuals. Despite the scattered nature of these data, the present study contributes valuable insights into the major causes of death of stranded cetaceans, and adds to growing worldwide efforts to biomonitor cetaceans.
Original languageEnglish
Article number102170
JournalJournal of Sea Research
Volume181
Number of pages8
ISSN1385-1101
DOIs
Publication statusPublished - 2022

Keywords

  • Bayesian models
  • Conservation
  • Marine mammals
  • Persistent organic pollutant (POP) contamination

Fingerprint

Dive into the research topics of 'Understanding the causes of mortality and contaminant loads of stranded cetacean species in Sardinian waters (Italy) using Bayesian Hierarchical Models'. Together they form a unique fingerprint.

Cite this