Exploratory development of a survey-based biomass index for ling (Molva molva) in ICES subareas 3, 4, 6-9 12 and 14.: Working Document presented to the ICES Working Group on the Biology and Assessment of Deep Sea Fisheries Resources (WGDEEP) 30 April-6 May 2025, Thorshavn, Faroe Islands

Tom Blasdale

Exploratory development of a survey-based biomass index for ling (Molva molva) in ICES subareas 3, 4, 6-9 12 and 14. Working Document presented to the ICES Working Group on the Biology and Assessment of Deep Sea Fisheries Resources (WGDEEP) 30 April-6 May 2025, Thorshavn, Faroe Islands

Tom Blasdale

UHI Shetland

Producción científica: Other contribution

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Resumen

We investigated options to develop an abundance index for ling (Molva molva) in ICES subareas 3, 4, 6-9, 12 and 14 using a Generalized Additive Model (GAM) with Tweedie distribution and a Vector Autoregressive Spatio-Temporal model (VAST; Thorson and Barnett, 2017). We used data from seven surveys, all conducted with a common sampling gear (GOV trawl) and coordinated under the ICES IBTS working group. Both models were investigated in multiple configurations, and we were able to identify models which produced adequate fits for both. The resulting indices were very similar to one another and also showed similar trends in recent years to the Norwegian commercial longline CPUE index that is currently used to assess this stock.

Idioma original	English
Tipo	ICES Working Paper
Número de páginas	13
Estado	Submitted - 6 may 2025

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Development of an IBTS survey index for ling
© 2026 The Author(s).
Final published version, 1,03 MBLicencia: CC BY-NC

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title = "Exploratory development of a survey-based biomass index for ling (Molva molva) in ICES subareas 3, 4, 6-9 12 and 14.: Working Document presented to the ICES Working Group on the Biology and Assessment of Deep Sea Fisheries Resources (WGDEEP) 30 April-6 May 2025, Thorshavn, Faroe Islands",

abstract = "We investigated options to develop an abundance index for ling (Molva molva) in ICES subareas 3, 4, 6-9, 12 and 14 using a Generalized Additive Model (GAM) with Tweedie distribution and a Vector Autoregressive Spatio-Temporal model (VAST; Thorson and Barnett, 2017). We used data from seven surveys, all conducted with a common sampling gear (GOV trawl) and coordinated under the ICES IBTS working group. Both models were investigated in multiple configurations, and we were able to identify models which produced adequate fits for both. The resulting indices were very similar to one another and also showed similar trends in recent years to the Norwegian commercial longline CPUE index that is currently used to assess this stock.",

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note = "{\textcopyright} 2026 The Author(s).",

year = "2025",

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Exploratory development of a survey-based biomass index for ling (Molva molva) in ICES subareas 3, 4, 6-9 12 and 14. Working Document presented to the ICES Working Group on the Biology and Assessment of Deep Sea Fisheries Resources (WGDEEP) 30 April-6 May 2025, Thorshavn, Faroe Islands. / Blasdale, Tom.
13 p. 2025, ICES Working Paper.

Producción científica: Other contribution

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N2 - We investigated options to develop an abundance index for ling (Molva molva) in ICES subareas 3, 4, 6-9, 12 and 14 using a Generalized Additive Model (GAM) with Tweedie distribution and a Vector Autoregressive Spatio-Temporal model (VAST; Thorson and Barnett, 2017). We used data from seven surveys, all conducted with a common sampling gear (GOV trawl) and coordinated under the ICES IBTS working group. Both models were investigated in multiple configurations, and we were able to identify models which produced adequate fits for both. The resulting indices were very similar to one another and also showed similar trends in recent years to the Norwegian commercial longline CPUE index that is currently used to assess this stock.

AB - We investigated options to develop an abundance index for ling (Molva molva) in ICES subareas 3, 4, 6-9, 12 and 14 using a Generalized Additive Model (GAM) with Tweedie distribution and a Vector Autoregressive Spatio-Temporal model (VAST; Thorson and Barnett, 2017). We used data from seven surveys, all conducted with a common sampling gear (GOV trawl) and coordinated under the ICES IBTS working group. Both models were investigated in multiple configurations, and we were able to identify models which produced adequate fits for both. The resulting indices were very similar to one another and also showed similar trends in recent years to the Norwegian commercial longline CPUE index that is currently used to assess this stock.

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