FN Archimer Export Format
PT J
TI Optimizing image-based protocol to monitor macroepibenthic communities colonizing artificial structures
BT 
AF Taormina, Bastien
   Marzloff, Martin
   Desroy, Nicolas
   Caisey, Xavier
   Dugornay, Olivier
   METRAL THIESSE, Emmanuelle
   Tancray, Aurelien
   Carlier, Antoine
AS 1:1,2;2:2;3:3;4:2;5:4;6:2;7:5;8:2;
FF 1:;2:PDG-ODE-DYNECO-LEBCO;3:PDG-ODE-LITTORAL-LERBN;4:PDG-ODE-DYNECO-LEBCO;5:PDG-DCOM-COMDIR-AUDIOVISUEL;6:;7:PDG-REM-RDT-LCSM;8:PDG-ODE-DYNECO-LEBCO;
C1 France Energies Marines, 525 Avenue Alexis de Rochon, 29280 Plouzané, France
   Ifremer, Centre de Bretagne, DYNECO—Laboratoire d’écologie benthique, ZI de la Pointe du Diable, CS 10070, 29280 Plouzané, France
   Ifremer, Laboratoire Environnement Ressources Bretagne Nord, 38 rue du Port Blanc, 35801 Dinard, France
   Ifremer, Centre de Bretagne, Direction de la Communication—Pôle audiovisuel, ZI de la Pointe du Diable, CS 10070, 29280 Plouzané, France
   Ifremer, Centre de Bretagne, Laboratoire Comportement des Structures en Mer, ZI de la Pointe du Diable, CS 10070, 29280 Plouzané, France
C2 FRANCE ENERGIES MARINES, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
SI BREST
   DINARD
SE PDG-ODE-DYNECO-LEBCO
   PDG-ODE-LITTORAL-LERBN
   PDG-DCOM-COMDIR-AUDIOVISUEL
   PDG-REM-RDT-LCSM
IN WOS Ifremer UPR
   copubli-france
IF 3.593
TC 13
UR https://archimer.ifremer.fr/doc/00599/71160/69550.pdf
LA English
DT Article
CR 16TH08 (BREBENT-05)
BO Thalia
DE ;benthic monitoring;fouling community;sampling design;taxonomic resolution;underwater imagery
AB Underwater imagery is increasingly used as an effective and repeatable method to monitor benthic ecosystems. Nevertheless, extracting ecologically relevant information from a large amount of raw images remains a time-consuming and somewhat laborious challenge. Thus, underwater imagery processing needs to strike a compromise between time-efficient image annotation and accuracy in quantifying benthic community composition. Designing and implementing robust image sampling and image annotation protocols are therefore critical to rationally address these trade-offs between ecological accuracy and processing time. The aim of this study was to develop and to optimize a reliable image scoring strategy based on the point count method using imagery data acquired on tide-swept macroepibenthic communities. Using a stepwise approach, we define an underwater imagery processing protocol that is effective in terms of (i) time allocated to overall image, (ii) reaching a satisfactory accuracy to estimate the occurrence of dominant benthic taxa, and (iii) adopting a sufficient taxonomic resolution to describe changes in community composition. We believe that our method is well adapted to investigate the composition of epibenthic communities on artificial reefs and can be useful in surveying colonization of other human structures (wind turbine foundations, pipelines, etc.) in coastal areas. Our strategy meets the increasing demand for inexpensive and time-effective tools for monitoring changes in benthic communities in a context of increasing coastal artificialization pressures. 
PY 2020
PD MAR
SO Ices Journal Of Marine Science
SN 1054-3139
PU Oxford University Press (OUP)
VL 77
IS 2
UT 000536430100033
BP 835
EP 845
DI 10.1093/icesjms/fsz249
ID 71160
ER

EF