FN Archimer Export Format
PT J
TI Environmental factors affecting maerl bed structure in Brittany (France)
BT 
AF DUTERTRE, Mickael
   GRALL, Jacques
   EHRHOLD, Axel
   HAMON, Dominique
AS 1:1;2:2;3:3;4:1;
FF 1:;2:;3:PDG-REM-GM-LES;4:PDG-ODE-DYNECO-BENTHOS;
C1 IFREMER, ODE, DYNECO, Lab Ecol Benth, F-29280 Plouzane, France.
   Inst Univ Europeen Mer, UMS 3113, Observ Domaine Cotier, F-29280 Plouzane, France.
   IFREMER, REM, GM, Lab Environm Sedimentaires, F-29280 Plouzane, France.
C2 IFREMER, FRANCE
   UBO, FRANCE
   IFREMER, FRANCE
SI BREST
SE PDG-REM-GM-LES
   PDG-ODE-DYNECO-BENTHOS
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 2.205
TC 21
UR https://archimer.ifremer.fr/doc/00280/39089/37816.pdf
LA English
DT Article
CR HABENT
   REBENT
   REBENT 2014
BO Thalia
DE ;Benthic habitats;Brittany;environmental factors;estuary;large spatial scale;maerl
AB This study used a large spatial scale approach in order to better quantify the relationships between maerl bed structure and a selection of potentially forcing physical factors. Data on maerl bed structure and morpho-sedimentary characteristics were obtained from recent oceanographic surveys using underwater video recording and grab sampling. Considering the difficulties in carrying out real-time monitoring of highly variable hydrodynamic and physicochemical factors, these were generated by three-dimensional numerical models with high spatial and temporal resolution. The BIOENV procedure indicated that variation in the percentage cover of thalli can best be explained (correlation = 0.76) by a combination of annual mean salinity, annual mean nitrate concentration and annual mean current velocity, while the variation in the proportion of living thalli can best be explained (correlation = 0.47) by a combination of depth and mud content. Linear relationships showed that the percentage cover of maerl thalli was positively correlated with nitrate concentration (R2 = 0.78, P < 0.01) and negatively correlated with salinity (R2 = 0.81, P < 0.01), suggesting a strong effect of estuarine discharge on maerl bed structure, and also negatively correlated with current velocity (R2 = 0.81, P < 0.01). When maerl beds were deeper than 10 m, the proportion of living thalli was always below 30% but when they were shallower than 10 m, it varied between 4 and 100%, and was negatively correlated with mud content (R2 = 0.53, P < 0.01). On the other hand, when mud content was below 10%, the proportion of living thalli showed a negative correlation with depth (R2 = 0.84, P < 0.01). This large spatial scale explanation of maerl bed heterogeneity provides a realistic physical characterization of these ecologically interesting benthic habitats and usable findings for their conservation and management.
PY 2015
SO European Journal Of Phycology
SN 0967-0262
PU Taylor & Francis Ltd
VL 50
IS 4
UT 000363951900001
BP 371
EP 383
DI 10.1080/09670262.2015.1063698
ID 39089
ER

EF