FN Archimer Export Format
PT J
TI A state-space model to derive bluefin tuna movement and habitat from archival tags
BT 
AF ROYER, Francois
   FROMENTIN, Jean-Marc
   GASPAR, P
AS 1:1;2:1;3:2;
FF 1:PDG-DOP-DCM-HMT-RHSETE;2:PDG-DOP-DCM-HMT-RHSETE;3:;
C1 IFREMER, Ctr Rech Halieut Mediterraneen & Trop, FR-34203 Sete, France.
   CLS, Div Oceanog Spatiale, FR-31526 Ramonville St Agne, France.
C2 IFREMER, FRANCE
   CLS, FRANCE
SI SETE
SE PDG-DOP-DCM-HMT-RHSETE
IN WOS Ifremer jusqu'en 2018
   copubli-france
IF 3.309
TC 70
UR https://archimer.ifremer.fr/doc/2005/publication-671.pdf
LA English
DT Article
DE ;Tag;Archival;Habitat;Movement;Bluefin tuna
AB Archival tagging provides a unique way to study the spatial dynamics and habitat of pelagic fish. This technique generates lagrangian data of a particular type in marine ecology: although highly informative about processes at different scales (e.g. horizontal movements versus diving behaviour), such data are impaired by location errors and the lack of combination with actual environmental variability. The present paper introduces a framework for modelling bluefin tuna movement in relation to its habitat, using records of light, depth and temperature from archival tags. Based on data assimilation concepts and methods, we show how an explicit formulation of the observation process and the statistics of external variables (e.g. ambient temperature) can improve precision in geolocation. The proposed method is tested on synthetic data: significant reduction (40 to 50%) in the initial root-mean square error is achieved under different noise scenarios. Assimilating sea surface temperature also allows to perform on-line estimation of a range of observation biases. The performance of the model greatly benefits from the adequate formalisation of different variability sources, and allows potentially to reveal interactions between the fish and its habitat. Using this probabilistic approach, we, however, show that some patterns of interest (e.g. foraging in surface fronts) can hardly be retrieved in a context of large observational and environmental noise.
PY 2005
PD JUL
SO Oikos
SN 0030-1299
PU Blackwell science
VL 109
IS 3
UT 000227722400006
BP 473
EP 484
DI 10.1111/j.0030-1299.2005.13777.x
ID 671
ER

EF