FN Archimer Export Format
PT J
TI Acoustic seascape partitioning through functional data analysis
BT 
AF Ariza, Alejandro
   LEBOURGES-DHAUSSY, Anne
   Nerini, David
   Pauthenet, Etienne
   Roudaut, Gildas
   Assunção, Ramilla
   Tosetto, Everton
   Bertrand, Arnaud
AS 1:1;2:2;3:3;4:4;5:2;6:5;7:5;8:1;
FF 1:;2:;3:;4:;5:;6:;7:;8:;
C1 MARBEC, Univ Montpellier, CNRS, Ifremer, IRD Sète ,France
   LEMAR, UBO, CNRS, IRD, Ifremer Plouzané ,France
   Mediterranean Institute of Oceanography Aix‐Marseille Université, CNRS/INSU, Université de Toulon, IRD Marseille ,France
   Sorbonne Universités, UPMC Université Paris, France
   Laboratório de Oceanografia Física Estuarina e Costeira, Depto. Oceanografia, UFPE Recife, Brazil
C2 IRD, FRANCE
   UBO, FRANCE
   UNIV AIX MARSEILLE, FRANCE
   UNIV SORBONNE, FRANCE
   UNIV FED PERNAMBUCO UFPE, BRAZIL
UM LEMAR
   MARBEC
IN WOS Cotutelle UMR
   copubli-france
   copubli-univ-france
   copubli-int-hors-europe
   copubli-sud
IF 3.9
TC 3
UR https://archimer.ifremer.fr/doc/00807/91875/97829.pdf
   https://archimer.ifremer.fr/doc/00807/91875/97830.pdf
LA English
DT Article
CR ABRACOS
   ABRACOS 2
BO Antea
DE ;biogeography;echoregions;Fernando de Noronha;mesopelagic;micronekton;northeastern Brazil;sound-scattering layers;soundscape
AB Aim Water column acoustic backscatter is regularly registered during oceanographic surveys, providing valuable information on the composition and distribution of pelagic life in the ocean. We propose an objective approach based on functional data analysis to classify these acoustic seascapes into biogeographical regions. Location Tropical South Atlantic Ocean off northeastern Brazil. Taxon Sound-scattering pelagic fauna detected with acoustic echosounders, principally small fish, crustaceans, squid and diverse gelatinous life-forms. Methods We use acoustic backscatter as a function of depth, simultaneously at three frequencies, to numerically describe the vertical distribution and composition of sound-scattering organisms in the water column. This information is used to classify the acoustic seascape through functional principal component analysis. The analysis routine is tested and illustrated with data collected at 38, 70 and 120 kHz in waters affected by contrasting environmental conditions. Results Acoustic seascape partitioning mirrored the distribution of current systems, fronts and taxonomically based regionalization. The study area was divided between slope-boundary and open-ocean waters, and between spring and fall hydrological regimes. Main Conclusions The acoustic seascape consistency and the spatiotemporal coherence of the regions classified show that the method is efficient at identifying homogeneous and cohesive sound-scattering communities. Comparisons against hydrological and biological regionalization prove that the method is reliable at delineating distinct pelagic ecosystems in a cost-efficient and non-intrusive way. 
PY 2023
PD SEP
SO Journal Of Biogeography
SN 0305-0270
PU Wiley
VL 50
IS 9
UT 000888936900001
BP 1546
EP 1560
DI 10.1111/jbi.14534
ID 91875
ER

EF