FN Archimer Export Format
PT J
TI The 18.6-year lunar nodal cycle may affect ecosystems on the Northwest Atlantic continental shelves
BT 
AF Poitevin, Pierre
   Lazure, Pascal
   Roy, Virginie
   Donnet, Sébastien
   Chauvaud, Laurent
AS 1:1,2;2:3;3:2;4:4;5:1;
FF 1:;2:PDG-ODE-LOPS-OC;3:;4:;5:;
C1 Université de Bretagne Occidentale, Laboratoire des Sciences de l'Environnement Marin (UMR6539 UBO/CNRS/IRD/Ifremer), 29280 Plouzané, France
   Fisheries and Oceans Canada, Maurice Lamontagne Institute, Mont-Joli, QC, Canada
   IFREMER, Laboratoire d'Océanographie Physique et Spatiale (UMR6523 CNRS/IFREMER/IRD/UBO), 29280 Plouzané, France
   Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, Saint-John's, NL, Canada
C2 CNRS, FRANCE
   MPO INST MAURICE LAMONTAGNE, CANADA
   IFREMER, FRANCE
   MPO, CANADA
SI BREST
SE PDG-ODE-LOPS-OC
UM LOPS
   LEMAR
IN WOS Ifremer UMR
   WOS Cotutelle UMR
   copubli-france
   copubli-int-hors-europe
IF 2.8
TC 1
UR https://archimer.ifremer.fr/doc/00788/89963/97551.pdf
LA English
DT Article
CR SPM2017
BO Antea
DE ;Arctica islandica;Tides;Northwestern Atlantic continental shelf;Sclerochronology;Growth
AB As one of the foremost global forcings, tidal circulation exerts a pervasive influence on biological and physical processes occurring in the world's oceans on hourly to decadal time scales. This research identified the 18.6-year periodic variation in the lunar orbital plane within an annually resolved 140-year (1875 to 2015) shell growth master chronology measured from 21 live collected Arctica islandica, a bivalve known to be one of the longest lived non-colonial animals. The potential ecological implications of this result warranted detailed inventory of underlying physical processes. The absence of long-term in situ hydrological data for the bivalve's habitat was circumvented by the use of satellite data and numerical modeling which show that coastal regions of the Northwest Atlantic shelf clearly record diurnal tidal currents influenced by the 18.6-year nodal lunar cycle. The approach described here demonstrates that combining physical and biological data can help to identify subtle ecological processes over long time-scales for accurately disentangling the latter from variation introduced by anthropogenic climate change. 
PY 2022
PD NOV
SO Journal Of Marine Systems
SN 0924-7963
PU Elsevier BV
VL 235
UT 000929889100001
DI 10.1016/j.jmarsys.2022.103783
ID 89963
ER

EF