@inproceedings{fdi:010088013,
  title = {{S}witching off the sun to observe the twilight zone spatial dynamics across {S}aint-{P}aul and {N}ew-{A}msterdam {I}slands, {S}outhern {I}ndian {O}cean [r{\'e}sum{\'e}]},
  author = {{I}zard, {L}. and {F}onvieille, {N}. and {N}erini, {D}. and {L}ebourges {D}haussy, {A}nne and {R}oudaut, {G}ildas and {H}abasque, {J}{\'e}r{\'e}mie and {C}ott{\'e}, {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}nformation on micronekton (> 1 cm organisms) is globally scarce in the open ocean, and its ver-tical and horizontal distribution in relation to oceanographic structures is poorly known. {T}he complex biodiversity composing micronektonic functional groups lead to even more challenging interpretations of their spatial dynamics. {A}dvanced generations of echosounders emit simulta-neously several acoustic signals (multi-frequency device), allowing a finer view of the micron-ektonic community. {W}hile data becomes more abundant and complex, it is crucial to develop statistical tools aiming to objectively extract key components of its variability. {I}n this study, we analyse data recorded onboard the {R}/{V} {M}arion {D}ufresne from an {EK}80 echosounder emitting at 18, 38, 70, 120 and 200 k{H}z. {W}e developed a {M}ultivariate {F}unctional {D}ata {A}nalysis method to identify patterns in micronekton structures across {S}aint-{P}aul and {N}ew {A}msterdam economic exclusive zone, at the boundary between vast oceanic domains. {T}his approach proposes an ob-jective method to analyse the vertical backscatter distribution and quantify temporal and spatial modes of variability in multivariate acoustic data. {B}y filtering the temporal mode, we uncovered a latitudinal acoustic pattern in concordance with hydrological features and biological samples distribution. {S}uch methods could be implemented at a global or local scale and allow 3-{D} mod-elling of micronekton structuring.},
  keywords = {{OCEAN} {INDIEN} ; {SAINT} {PAUL} {ILE} ; {NEW} {AMSTERDAM} {ILE}},
  volume = {4},
  numero = {54},
  pages = {37},
  booktitle = {{W}orking group of fisheries acoustics, science and technology ({WGFAST})},
  year = {2022},
  ISSN = {2618-1371},
  URL = {https://www.documentation.ird.fr/hor/fdi:010088013},
}