Abstract

In the Mediterrean Sea the population features of demersal resources fluctuate over spatial and temporal scales due to the variability of abiotic and biotic factors as well as to human activities. The two shrimps Parapenaeus longirostris and Aristaeomorpha foliacea are among the most important deep-sea demersal resources in the North-Western Ionian Sea. Their changes in terms of density, biomass andmedian length induced by anthropogenic and environmental variables (fishing effort, sea surface temperature, precipitations, Winter North Atlantic Oscillation (NAO) and Annual MediterraneanOscillation (MO) indices) were investigated. Biological data were collected during trawl surveys carried out from 1995 to 2006 as part of the international program MEDITS (International Bottom Trawl Survey in the Mediterranean). Generalized AdditiveModels were used to evaluate the spatio-temporal variation of both species, together with the possible nonlinear effects of biotic and abiotic factors. Density and biomass were assumed to be distributed according to a member of the Tweedie family in order to account for zero-inflation in the relative data. Spacetime interaction was consideredwithin a non-separablemodel with smooth spatio-temporal component based on tensor product splines. The results show significant spatio-temporal and depth effects in the three population parameters of these resources. Winter NAO index significantly influenced the density, biomass and length of P. longirostris. Sea surface temperature significantly influenced the size of this species and the three population features of A. foliacea. The size of this shrimp resulted also influenced negatively by fishing effort and positively by the MO index.

Details

Title
Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive
Author
Arcuti, Simona; Calculli, Crescenza; Pollice, Alessio; D'Onghia, Gianfranco; Maiorano, Porzia; Tursi, Angelo
Pages
87-101
Section
Articles
Publication year
2013
Publication date
2013
Publisher
Università degli Studi di Bologna, Department of Statistical Sciences, Alma Mater Studiorum
ISSN
0390590X
e-ISSN
19732201
Source type
Scholarly Journal
Language of publication
Italian
ProQuest document ID
1691262465
Copyright
Copyright Università degli Studi di Bologna, Department of Statistical Sciences, Alma Mater Studiorum 2013