FN Archimer Export Format
PT J
TI Environmental drivers of herring growth and how the perception shifts with time series length
BT 
AF Claireaux, Marion
   Zimmermann, Fabian
   Ernande, Bruno
   Heino, Mikko
   Enberg, Katja
AS 1:1,2;2:3;3:4,5;4:5,6,7;5:8;
FF 1:;2:;3:PDG-RBE-MARBEC;4:;5:;
C1 Institute of Marine Research Tromso, 235118, Tromso, Norway
   University of Bergen, 1658, Department of Biological Sciences, Bergen, Norway
   Institute of Marine Research Tromso, 235118, Tromso, Norway
   IFREMER, MARBEC, Univ. Montpellier, Montpellier, France
   IIASA, 31362, Laxenburg, Austria
   University of Bergen, 1658, Department of Biological Sciences, Bergen, Norway
   Institute of Marine Research, Bergen, Norway
   University of Bergen, 1658, Department of Biological Sciences, Bergen, Norway
C2 INST MAR RES (IMR), NORWAY
   UNIV BERGEN, NORWAY
   INST MAR RES (IMR), NORWAY
   IFREMER, FRANCE
   IIASA, AUSTRIA
   UNIV BERGEN, NORWAY
   IMR (BERGEN), NORWAY
   UNIV BERGEN, NORWAY
SI MONTPELLIER
SE PDG-RBE-MARBEC
UM MARBEC
IN WOS Ifremer UMR
   copubli-europe
IF 2.4
TC 3
UR https://archimer.ifremer.fr/doc/00750/86218/91507.pdf
   https://archimer.ifremer.fr/doc/00750/86218/95278.docx
LA English
DT Article
AB Growth is a key component of population dynamics and, thus, fisheries management, yet drivers of its variations are often poorly understood. Using individual data collected over 80 years, we explored how environmental drivers affect growth in a major population of Atlantic herring (Clupea harengus). The results confirm that intrinsic factors (age and maturation) determine growth to a large degree but also that extrinsic factors such as temperature have some influence. While the role of intrinsic factors was independent of time series length, the importance of extrinsic drivers vary strongly with the analysed time period. It remains unclear whether this is caused by data inconsistencies back in time, spurious correlations appearing in shorter time series, shifts in population dynamics, or dynamic interactions between variables that cannot be determined with current data. Generally, environmental effects on growth became less clear and relevant with increasing time series length. What drives variation in growth may therefore change over time, potentially due to impacts such as fishing or climate change. It also underlines that seemingly clear correlations can break down or change their sign over time, hence caution is advised when interpreting results from time series of 20-40 years. 
PY 2022
PD AUG
SO Canadian Journal Of Fisheries And Aquatic Sciences
SN 0706-652X
PU Canadian Science Publishing
VL 79
IS 8
UT 000793148000001
BP 1282
EP 1290
DI 10.1139/cjfas-2021-0176
ID 86218
ER

EF