FN Archimer Export Format
PT J
TI A life cycle model to assess the abundance of black scabbardfish, a widely distributed fish with cryptic migrations
BT 
AF Ribeiro Figueiredo, Ivone
   Natário, Isabel
   Lorance, Pascal
   Carvalho, M. Lucília
AS 1:1;2:2;3:3;4:4;
FF 1:;2:;3:PDG-RBE-HALGO-EMH;4:;
C1 IPMA, 131673, Sea and Marine resources Department, Lisboa, Lisboa, Portugal
   Universidade Nova de Lisboa, 50106, Department of Mathematics, Lisboa, Lisboa, Portugal
   DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro-Agrocampus Ouest, Nantes, France
   Universidade de Lisboa, 37809, Lisboa, Lisboa, Portugal
C2 IPMA, PORTUGAL
   UNIV NOVA LISBOA, PORTUGAL
   IFREMER, FRANCE
   UNIV LISBOA, PORTUGAL
SI NANTES
SE PDG-RBE-HALGO-EMH
UM DECOD
IN WOS Ifremer UMR
   copubli-europe
IF 2.4
TC 0
UR https://archimer.ifremer.fr/doc/00779/89147/94717.pdf
LA English
DT Article
CR EVHOE EVALUATION HALIEUTIQUE OUEST DE L'EUROPE
DE ;deep sea;abundance;Bayesian statistics;fishery management;spatial statistics
AB The spatio-temporal dynamics of the black scabbardfish abundance in the northeast Atlantic is modeled using two linked Bayesian state-space models fitted to fishery dependent data from trawlers operating to the west and north off the British Isles and longliners off the west coast of Portugal. The stage structured life cycle models include species vital processes, fishing and are linked by the migration flow between the two areas. Although data on spawners abundance and recruitment are missing, the hierarchical nature of state-space models allows to conveniently represent black scabbardfish dynamics using reliable data from the two studied areas, which correspond to two of the three main fishing grounds for the species. The approach presented is somehow comparable to the few models developed for other species, like European eel, where spawning and recruitment occur at restricted and distant regions. This approach is likely to remain the only option for black scabbardfish stock assessment and fisheries monitoring, as it is unlikely that data about the unobserved spawning and early life stages become available in the near future. 
PY 2022
PD NOV
SO Canadian Journal Of Fisheries And Aquatic Sciences
SN 0706-652X
PU Canadian Science Publishing
VL 79
IS 11
UT 000877583000004
BP 1977
EP 1991
DI 10.1139/cjfas-2021-0272
ID 89147
ER

EF