Workshop on the production of abundance estimates for sensitive species (WKABSENS). ICES Scientific Reports, 3:96.

The Workshop on the production of annual estimates of abundance of sensitive species (WKABSENS) met to define sensitive species, collate ICES assessments of abundance where these are available, and estimate indices of their abundance per swept-area where not, for the OSPAR area. The analyses identif...

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Bibliographic Details
Authors: Arronte-Prieto, Juan Carlos, Baldó, Francisco, Börjesson, Patrik, Calderwood, Julia, Charisiadou, Stefania, Cojan-Burgos, Miguel, Eerkes-Medrano, Dafne, Gonçalves, Patricia, Kavanagh, Ailbhe, Kempf, Jed, Lefkaditou, Eugenia, Lynam, Christopher P., Machado, Inês, Mildenberger, Tobias, Moura, Teresa, Probst, Wolfgang Nikolaus, Reid, David G., Rindorf, Anna, Salvany, Lara, Sys, Klaas, Veiga-Malta, Tiago, Villanueva, María Ching, Wieland, Kai Ulrich, Zhai, Hongru
Format: other
Publication Date:2021
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/325375
Online Access:http://hdl.handle.net/10261/325375
Access Level:Open access
Keyword:Pesquerías
Centro Oceanográfico de Cádiz
fish
exploration
data collections
abundance
Description
Summary:The Workshop on the production of annual estimates of abundance of sensitive species (WKABSENS) met to define sensitive species, collate ICES assessments of abundance where these are available, and estimate indices of their abundance per swept-area where not, for the OSPAR area. The analyses identified 140 potentially sensitive species or species complexes, among which 10 are diadromous and three are coastal, 20 have uncertain species ID and nine were identified as sensitive in only one of the sources examined. Among the sensitive species and species complexes, there was sufficient data to provide abundance indices for 50 species, of which 16 had existing stock assessments whereas the workshop derived abundance estimates for the remaining 34 species from survey data. Three statistical modelling approaches (binomial, General Additive Models (GAMs) and VAST) and were explored and the final abundance indices were calculated using GAMs. The species were divided into stocks before estimating abundance indices where these could be identified from the spatial distribution of the species in the survey. The group considered that a similar analysis using data from additional surveys, commercial indices or data from bycatch observers can potentially provide improved abundance estimates for species with variable or low catchability, such as deep-water and pelagic species.

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