The spatiotemporal standardization of the stock index and reduction of hauls in research surveys (on the example of red king crab in the Barents Sea)

The paper presents the results of the spatiotemporal standardization of the stock biomass index of red king crab in the Russian EEZ of the Barents Sea carried out using the generalized additive mixed effect model (GAMM) which was implemented in the sdmTMB library of the Renvironment. The spatiotemporal approach used in species distribution modelling within GAMM enables taking into account numerous environmental factors and fishing gears, thereby increasing the quality of the assessment especially in areas with data shortage. Additionally, in modelling the stock density for areas with no observations the space-time autocorrelation in between hauls is also taken into consideration.

Authors

Institutions

Publication Details

Journal
Problems of fisheries
Published
2024-09-28
DOI
https://doi.org/10.36038/0234-2774-2024-25-3-181-196
Citations
1
Primary Topic
Marine and fisheries research
Type
article
Field-Weighted Citation Impact
0.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The spatiotemporal standardization of the stock index and reduction of hauls in research surveys (on the example of red king crab in the Barents Sea)

A. V. Stesko, S.V. Bakanev
1 citations
Problems of fisheries
Marine and fisheries research
0.28
article

The spatiotemporal standardization of the stock index and reduction of hauls in research surveys (on the example of red king crab in the Barents Sea)

A. V. Stesko, S.V. Bakanev
article en
1 citations

Abstract

The paper presents the results of the spatiotemporal standardization of the stock biomass index of red king crab in the Russian EEZ of the Barents Sea carried out using the generalized additive mixed effect model (GAMM) which was implemented in the sdmTMB library of the Renvironment. The spatiotemporal approach used in species distribution modelling within GAMM enables taking into account numerous environmental factors and fishing gears, thereby increasing the quality of the assessment especially in areas with data shortage. Additionally, in modelling the stock density for areas with no observations the space-time autocorrelation in between hauls is also taken into consideration.

Problems of fisheriesVol. 25(3)
Knipovich Polar Research Institute of Marine Fisheries and Oceanography (RU)
National Oceanic and Atmospheric Administration, Fogarty International Center
Openalex Percentile: Top 42%
Marine and fisheries research
0.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The spatiotemporal standardization of the stock index and reduction of hauls in research surveys (on the example of red king crab in the Barents Sea) — A. V. Stesko, S.V. Bakanev · Problems of fisheries (2024) | TGRS Research Map | TGRS