Acoustic seascape partitioning through functional data analysis

Type Article
Date 2023-09
Language English
Author(s) Ariza AlejandroORCID1, Lebourges-Dhaussy Anne2, Nerini David3, Pauthenet Etienne4, Roudaut Gildas2, Assunção Ramilla5, Tosetto EvertonORCID5, Bertrand Arnaud1
Affiliation(s) 1 : MARBEC, Univ Montpellier, CNRS, Ifremer, IRD Sète ,France
2 : LEMAR, UBO, CNRS, IRD, Ifremer Plouzané ,France
3 : Mediterranean Institute of Oceanography Aix‐Marseille Université, CNRS/INSU, Université de Toulon, IRD Marseille ,France
4 : Sorbonne Universités, UPMC Université Paris, France
5 : Laboratório de Oceanografia Física Estuarina e Costeira, Depto. Oceanografia, UFPE Recife, Brazil
Source Journal Of Biogeography (0305-0270) (Wiley), 2023-09 , Vol. 50 , N. 9 , P. 1546-1560
DOI 10.1111/jbi.14534
WOS© Times Cited 3
Keyword(s) biogeography, echoregions, Fernando de Noronha, mesopelagic, micronekton, northeastern Brazil, sound-scattering layers, soundscape
Abstract

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.

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How to cite 

Ariza Alejandro, Lebourges-Dhaussy Anne, Nerini David, Pauthenet Etienne, Roudaut Gildas, Assunção Ramilla, Tosetto Everton, Bertrand Arnaud (2023). Acoustic seascape partitioning through functional data analysis. Journal Of Biogeography, 50(9), 1546-1560. Publisher's official version : https://doi.org/10.1111/jbi.14534 , Open Access version : https://archimer.ifremer.fr/doc/00807/91875/