Predictive distribution models of European hake in the south-central Mediterranean Sea

Francesco Gargano, Jarboui, Gancitano, Arneri, Germana Garofalo, Fabio Fiorentino, Rizzo, Ceriola, Salem W. Zgozi, Ben Hadj Hamida, Milisenda, Khoufi, Roberta Mifsud, Micallef, Fezzani, Gargano, Chemmam-Abdelkader, Ben Abdallah

Risultato della ricerca: Article

1 Citazione (Scopus)

Abstract

The effective management and conservation of fishery resources requires knowledge of their spatial distribution and notably of their critical life history stages. Predictive modelling of the European hake (Merluccius merluccius L., 1758) distribution was developed in the south-central Mediterranean Sea by means of historical fisheries-independent databases available in the region. The study area included the international waters of the south-central Mediterranean Sea and the territorial waters of Italy, Malta, Tunisia and Libya. Distribution maps of predicted population abundance index, and probabilistic occurrence of recruits and large adults were obtained by means of generalized additive models using depth and seafloor characteristics as predictors. Presence/absence data of the two life stages was obtained using threshold values applied to the mean weight of the survey catches. Modelling results largely matched previously reported knowledge on habitat preference of the species and its critical life phases. Hake recruits showed an occurrence peak at 200 m depth with preference for soft bottoms. Large adults preferred deeper and harder bottom substrates. Prediction maps allowed to improve our knowledge on the distributional patterns of one of the most important shared stocks in the south-central Mediterranean. This knowledge is essential for an appropriate development of regional-spatial-based management plans.
Lingua originaleEnglish
pagine (da-a)153-172
Numero di pagine20
RivistaHydrobiologia
Volume821
Stato di pubblicazionePublished - 2018

All Science Journal Classification (ASJC) codes

  • Aquatic Science

Cita questo

Gargano, F., Jarboui, Gancitano, Arneri, Garofalo, G., Fiorentino, F., ... Ben Abdallah (2018). Predictive distribution models of European hake in the south-central Mediterranean Sea. Hydrobiologia, 821, 153-172.

Predictive distribution models of European hake in the south-central Mediterranean Sea. / Gargano, Francesco; Jarboui; Gancitano; Arneri; Garofalo, Germana; Fiorentino, Fabio; Rizzo; Ceriola; Zgozi, Salem W.; Ben Hadj Hamida; Milisenda; Khoufi; Mifsud, Roberta; Micallef; Fezzani; Gargano; Chemmam-Abdelkader; Ben Abdallah.

In: Hydrobiologia, Vol. 821, 2018, pag. 153-172.

Risultato della ricerca: Article

Gargano, F, Jarboui, Gancitano, Arneri, Garofalo, G, Fiorentino, F, Rizzo, Ceriola, Zgozi, SW, Ben Hadj Hamida, Milisenda, Khoufi, Mifsud, R, Micallef, Fezzani, Gargano, Chemmam-Abdelkader & Ben Abdallah 2018, 'Predictive distribution models of European hake in the south-central Mediterranean Sea', Hydrobiologia, vol. 821, pagg. 153-172.
Gargano F, Jarboui, Gancitano, Arneri, Garofalo G, Fiorentino F e altri. Predictive distribution models of European hake in the south-central Mediterranean Sea. Hydrobiologia. 2018;821:153-172.
Gargano, Francesco ; Jarboui ; Gancitano ; Arneri ; Garofalo, Germana ; Fiorentino, Fabio ; Rizzo ; Ceriola ; Zgozi, Salem W. ; Ben Hadj Hamida ; Milisenda ; Khoufi ; Mifsud, Roberta ; Micallef ; Fezzani ; Gargano ; Chemmam-Abdelkader ; Ben Abdallah. / Predictive distribution models of European hake in the south-central Mediterranean Sea. In: Hydrobiologia. 2018 ; Vol. 821. pagg. 153-172.
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abstract = "The effective management and conservation of fishery resources requires knowledge of their spatial distribution and notably of their critical life history stages. Predictive modelling of the European hake (Merluccius merluccius L., 1758) distribution was developed in the south-central Mediterranean Sea by means of historical fisheries-independent databases available in the region. The study area included the international waters of the south-central Mediterranean Sea and the territorial waters of Italy, Malta, Tunisia and Libya. Distribution maps of predicted population abundance index, and probabilistic occurrence of recruits and large adults were obtained by means of generalized additive models using depth and seafloor characteristics as predictors. Presence/absence data of the two life stages was obtained using threshold values applied to the mean weight of the survey catches. Modelling results largely matched previously reported knowledge on habitat preference of the species and its critical life phases. Hake recruits showed an occurrence peak at 200 m depth with preference for soft bottoms. Large adults preferred deeper and harder bottom substrates. Prediction maps allowed to improve our knowledge on the distributional patterns of one of the most important shared stocks in the south-central Mediterranean. This knowledge is essential for an appropriate development of regional-spatial-based management plans.",
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AU - Gargano, Francesco

AU - Jarboui, null

AU - Gancitano, null

AU - Arneri, null

AU - Garofalo, Germana

AU - Fiorentino, Fabio

AU - Rizzo, null

AU - Ceriola, null

AU - Zgozi, Salem W.

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AU - Milisenda, null

AU - Khoufi, null

AU - Mifsud, Roberta

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AU - Gargano, null

AU - Chemmam-Abdelkader, null

AU - Ben Abdallah, null

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N2 - The effective management and conservation of fishery resources requires knowledge of their spatial distribution and notably of their critical life history stages. Predictive modelling of the European hake (Merluccius merluccius L., 1758) distribution was developed in the south-central Mediterranean Sea by means of historical fisheries-independent databases available in the region. The study area included the international waters of the south-central Mediterranean Sea and the territorial waters of Italy, Malta, Tunisia and Libya. Distribution maps of predicted population abundance index, and probabilistic occurrence of recruits and large adults were obtained by means of generalized additive models using depth and seafloor characteristics as predictors. Presence/absence data of the two life stages was obtained using threshold values applied to the mean weight of the survey catches. Modelling results largely matched previously reported knowledge on habitat preference of the species and its critical life phases. Hake recruits showed an occurrence peak at 200 m depth with preference for soft bottoms. Large adults preferred deeper and harder bottom substrates. Prediction maps allowed to improve our knowledge on the distributional patterns of one of the most important shared stocks in the south-central Mediterranean. This knowledge is essential for an appropriate development of regional-spatial-based management plans.

AB - The effective management and conservation of fishery resources requires knowledge of their spatial distribution and notably of their critical life history stages. Predictive modelling of the European hake (Merluccius merluccius L., 1758) distribution was developed in the south-central Mediterranean Sea by means of historical fisheries-independent databases available in the region. The study area included the international waters of the south-central Mediterranean Sea and the territorial waters of Italy, Malta, Tunisia and Libya. Distribution maps of predicted population abundance index, and probabilistic occurrence of recruits and large adults were obtained by means of generalized additive models using depth and seafloor characteristics as predictors. Presence/absence data of the two life stages was obtained using threshold values applied to the mean weight of the survey catches. Modelling results largely matched previously reported knowledge on habitat preference of the species and its critical life phases. Hake recruits showed an occurrence peak at 200 m depth with preference for soft bottoms. Large adults preferred deeper and harder bottom substrates. Prediction maps allowed to improve our knowledge on the distributional patterns of one of the most important shared stocks in the south-central Mediterranean. This knowledge is essential for an appropriate development of regional-spatial-based management plans.

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