FN Archimer Export Format
PT J
TI The ZooScan and the ZooCAM zooplankton imaging systems are intercomparable: A benchmark on the Bay of Biscay zooplankton
BT 
AF GRANDREMY, Nina
   Dupuy, Christine
   PETITGAS, Pierre
   LE MESTRE, Sophie
   BOURRIAU, Paul
   Nowaczyk, Antoine
   FOREST, Bertrand
   ROMAGNAN, Jean-Baptiste
AS 1:1;2:2;3:3;4:4;5:1;6:5;7:6;8:1;
FF 1:PDG-RBE-HALGO-EMH;2:;3:PDG-RBE;4:PDG-RBE-HALGO-LBH;5:PDG-RBE-HALGO-EMH;6:;7:PDG-REM-RDT-LHYMAR;8:PDG-RBE-HALGO-EMH;
C1 DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Centre Atlantique, Rue de l’Ile d’Yeu - BP 21105, Nantes, 44311, France
   BIOFEEL, UMRi LIENSs, La Rochelle Université/CNRS, La Rochelle, France
   IFREMER, RBE, Centre Atlantique, Rue de l’Ile d’Yeu, Nantes, France
   DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Plouzané, France
   UMR CNRS 5805 EPOC–OASU, Station Marine d’Arcachon, Université de Bordeaux, Arcachon, France
   IFREMER, RDT-LHYMAR, Centre Bretagne-ZI de la Pointe du Diable, Plouzané, France
C2 IFREMER, FRANCE
   UNIV LA ROCHELLE, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
   UNIV BORDEAUX, FRANCE
   IFREMER, FRANCE
SI NANTES
   BREST
SE PDG-RBE-HALGO-EMH
   PDG-RBE
   PDG-RBE-HALGO-LBH
   PDG-REM-RDT-LHYMAR
UM DECOD
IN WOS Ifremer UPR
   WOS Ifremer UMR
   copubli-france
   copubli-univ-france
IF 2.7
TC 0
UR https://archimer.ifremer.fr/doc/00855/96671/105138.pdf
   https://archimer.ifremer.fr/doc/00855/96671/105139.jpeg
   https://archimer.ifremer.fr/doc/00855/96671/105140.pptx
   https://archimer.ifremer.fr/doc/00855/96671/105141.pptx
   https://archimer.ifremer.fr/doc/00855/96671/105142.jpeg
   https://archimer.ifremer.fr/doc/00855/96671/105143.jpeg
   https://archimer.ifremer.fr/doc/00855/96671/105144.jpeg
   https://archimer.ifremer.fr/doc/00855/96671/105145.jpeg
   https://archimer.ifremer.fr/doc/00855/96671/105146.jpeg
   https://archimer.ifremer.fr/doc/00855/96671/105147.pdf
LA English
DT Article
CR PELGAS
AB Zooplankton analysis represents a bottleneck in marine ecology studies due to the difficulty to obtain zooplankton data. The last decades have seen the intense development of zooplankton imaging systems, to increase the zooplankton data spatio-temporal resolution as well as enabling the combination of size, taxonomy, and functional traits in aquatic ecology studies. Here, we propose a benchmark between the ZooScan, a commercially available, laboratory-based scanner, which analyses zooplankton preserved samples, and the ZooCAM, an in-flow imaging system designed for on-board live zooplankton imaging. Sixty-one zooplankton samples collected over the Bay of Biscay in environments ranging from estuarine to offshore blue waters were imaged with both instruments. Zooplankton Normalized Biovolume-Size Spectra slopes, mean sizes, abundances, and zooplankton community biogeographical patterns were computed for each instrument and compared at the taxonomic group, the sampling stations and the Bay of Biscay scales. Both instruments produced similar zooplankton variables by stations and by taxa and described similar zooplankton community compositions and biogeographical patterns, on the large mesozooplankton size range, i.e., [0.3–3.39] mm ESD. We conclude that the ZooCAM and the ZooScan data can be combined to generate long term or spatially resolved zooplankton time series. Our study shows that benchmarking imaging instruments or techniques (1) offers a robust assessment of interoperability between instruments, mitigating possible instrumental biases, and (2) may be of great interest in the case of instrumental obsolescence or breakdown, to choose the most conservative replacement solution in a long term time series framework 
PY 2023
PD NOV
SO Limnology And Oceanography-methods
SN 1541-5856
PU ASLO
VL 21
IS 11
UT 001075053600001
BP 718
EP 733
DI 10.1002/lom3.10577
ID 96671
ER

EF