Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/113677
Título: Understanding the causes of mortality and contaminant loads of stranded cetacean species in Sardinian waters (Italy) using Bayesian Hierarchical Models
Autores/as: Pennino, Maria Grazia
Rufener, Marie Christine
Giménez, Joan
Berlinguer, Fiammetta
Bollo, Enrico
Appino, Simonetta
Succa, Daniele 
Chessa, Giannina
Rotta, Andrea
Clasificación UNESCO: 240119 Zoología marina
330811 Control de la contaminación del agua
310907 Patología
120803 Aplicación de la probabilidad
Palabras clave: Bayesian Models
Conservation
Marine Mammals
Persistent Organic Pollutant (Pop) Contamination
Fecha de publicación: 2022
Publicación seriada: Journal of Sea Research 
Resumen: 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.
URI: http://hdl.handle.net/10553/113677
ISSN: 1385-1101
DOI: 10.1016/j.seares.2022.102170
Fuente: Journal of Sea Research [ISSN 1385-1101], v. 181, 102170, (Marzo 2022)
Colección:Artículos
Adobe PDF (1,27 MB)
Vista completa

Citas SCOPUSTM   

4
actualizado el 06-oct-2024

Citas de WEB OF SCIENCETM
Citations

4
actualizado el 06-oct-2024

Visitas

81
actualizado el 07-sep-2024

Descargas

65
actualizado el 07-sep-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.