FN Archimer Export Format
PT J
TI Cross-scale environmental impacts across persistent and dynamic aggregations within a complex population: implications for fisheries management
BT 
AF Kerametsidis, Georgios
   Thorson, James T
   Rossi, Vincent
   Álvarez-Berastegui, Diego
   Barnes, Cheryl
   Certain, Gregoire
   Esteban, Antonio
   García, Encarnacion
   Jadaud, Angelique
   Piñeiro, Safo
   Vivas, Miguel
   Hidalgo, Manuel
AS 1:1,2;2:3;3:4;4:1;5:5;6:6;7:7;8:7;9:6;10:1;11:7;12:1;
FF 1:;2:;3:;4:;5:;6:PDG-RBE-MARBEC-LHM;7:;8:;9:PDG-RBE-MARBEC-LHM;10:;11:;12:;
C1 Centro Oceanográfico de Baleares (IEO, CSIC), Moll de Ponent s/n, 07015, Palma, Balearic Islands, Spain
   University of the Balearic Islands, Carretera de Valldemossa, km 7.5, 07122, Palma, Balearic Islands, Spain
   Habitat and Ecological Processes Research Program, Alaska Fisheries Science Center, NOAA, Seattle, WA, USA
   Mediterranean Institute of Oceanography (UM110, UMR 7294), CNRS, Aix Marseille Univ., Univ. Toulon, IRD, Marseille, France
   Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Newport, OR, USA
   MARBEC, Univ. Montpellier, CNRS, Ifremer, IRD, Sète, France,
   Centro Oceanográfico de Murcia (IEO-CSIC), C/ Varadero, 1, 30740 Lo Pagan, Murcia, Spain
C2 IEO, SPAIN
   UNIV BALEAR ISL, SPAIN
   NOAA, USA
   UNIV AIX MARSEILLE, FRANCE
   UNIV OREGON STATE, USA
   IFREMER, FRANCE
   IEO, SPAIN
SI SETE
SE PDG-RBE-MARBEC-LHM
UM MARBEC
IN WOS Ifremer UMR
   copubli-france
   copubli-europe
   copubli-univ-france
   copubli-int-hors-europe
IF 2.4
TC 0
UR https://archimer.ifremer.fr/doc/00865/97653/106556.pdf
LA English
DT Article
CR MEDITS
DE ;Mullus barbatus;empirical orthogonal function;dynamic factor analysis;Mediterranean Sea;open-ocean convec- tion;stock identification
AB Accounting for marine stocks spatiotemporal complexity has become one of the most pressing improvements that should be added to the new generation of stock assessment. Disentangling persistent and dynamic population subcomponents and understanding their main drivers of variation are still stock-specific challenges. Here, we hypothesized that the spatiotemporal variability of two adjacent fish stocks density is associated with spatially structured environmental processes across multiple spatiotemporal scales. To test this, we applied a generalized Empirical Orthogonal Function and Dynamic Factor Analysis to fishery-independent and -dependent data of red mullet, a highly commercial species, in the Western Mediterranean Sea. Areas with persistent and dynamic high aggregations were detected for both stock units. A large-scale climatic index and local open-ocean convection were associated with both stocks while other variables exhibited stock-specific effects. We also revealed spatially structured density dynamics within the examined management units. This suggests a metapopulation structure and supports the future implementation of a spatial stock assessment. Considering the common assumptions of panmictic structure and absence of connectivity with neighbouring stock units, our methodology can be applied to other species and systems with putative spatial complexity to inform a more accurate structure of biological populations. 
PY 2024
PD MAR
SO Canadian Journal Of Fisheries And Aquatic Sciences
SN 0706-652X
PU Canadian Science Publishing
VL 81
IS 3
UT 001159863800001
BP 268
EP 284
DI 10.1139/cjfas-2023-0120
ID 97653
ER

EF