Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive

In theMediterrean 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-s...

Full description

Bibliographic Details
Main Authors: Simona Arcuti, Crescenza Calculli, Alessio Pollice, Gianfranco D’Onghia, Porzia Maiorano, Angelo Tursi
Format: Article in Journal/Newspaper
Language:English
Published: University of Bologna 2013
Subjects:
Online Access:https://doi.org/10.6092/issn.1973-2201/3987
https://doaj.org/article/0e98474bfa8c4bbb9e515be8834385ff
id ftdoajarticles:oai:doaj.org/article:0e98474bfa8c4bbb9e515be8834385ff
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:0e98474bfa8c4bbb9e515be8834385ff 2023-05-15T17:35:01+02:00 Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive Simona Arcuti Crescenza Calculli Alessio Pollice Gianfranco D’Onghia Porzia Maiorano Angelo Tursi 2013-10-01T00:00:00Z https://doi.org/10.6092/issn.1973-2201/3987 https://doaj.org/article/0e98474bfa8c4bbb9e515be8834385ff EN eng University of Bologna http://rivista-statistica.unibo.it/article/view/3987 https://doaj.org/toc/0390-590X https://doaj.org/toc/1973-2201 0390-590X 1973-2201 doi:10.6092/issn.1973-2201/3987 https://doaj.org/article/0e98474bfa8c4bbb9e515be8834385ff Statistica, Vol 73, Iss 1, Pp 87-101 (2013) generalized Additive Models zero-inflated data Tweedie distribution spatio-temporal modeling Demersal resources abundance Statistics HA1-4737 article 2013 ftdoajarticles https://doi.org/10.6092/issn.1973-2201/3987 2022-12-31T02:01:42Z In theMediterrean 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. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic generalized Additive Models
zero-inflated data
Tweedie distribution
spatio-temporal modeling
Demersal resources abundance
Statistics
HA1-4737
spellingShingle generalized Additive Models
zero-inflated data
Tweedie distribution
spatio-temporal modeling
Demersal resources abundance
Statistics
HA1-4737
Simona Arcuti
Crescenza Calculli
Alessio Pollice
Gianfranco D’Onghia
Porzia Maiorano
Angelo Tursi
Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive
topic_facet generalized Additive Models
zero-inflated data
Tweedie distribution
spatio-temporal modeling
Demersal resources abundance
Statistics
HA1-4737
description In theMediterrean 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.
format Article in Journal/Newspaper
author Simona Arcuti
Crescenza Calculli
Alessio Pollice
Gianfranco D’Onghia
Porzia Maiorano
Angelo Tursi
author_facet Simona Arcuti
Crescenza Calculli
Alessio Pollice
Gianfranco D’Onghia
Porzia Maiorano
Angelo Tursi
author_sort Simona Arcuti
title Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive
title_short Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive
title_full Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive
title_fullStr Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive
title_full_unstemmed Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive
title_sort spatio-temporal modelling of zero-inflated deep-sea shrimp data by tweedie generalized additive
publisher University of Bologna
publishDate 2013
url https://doi.org/10.6092/issn.1973-2201/3987
https://doaj.org/article/0e98474bfa8c4bbb9e515be8834385ff
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Statistica, Vol 73, Iss 1, Pp 87-101 (2013)
op_relation http://rivista-statistica.unibo.it/article/view/3987
https://doaj.org/toc/0390-590X
https://doaj.org/toc/1973-2201
0390-590X
1973-2201
doi:10.6092/issn.1973-2201/3987
https://doaj.org/article/0e98474bfa8c4bbb9e515be8834385ff
op_doi https://doi.org/10.6092/issn.1973-2201/3987
_version_ 1766134041035145216