@inproceedings{fdi:010072117,
  title = {{R}obust estimation of acoustic abundance indices [r{\'e}sum{\'e}]},
  author = {{B}raham, {C}.{B}. and {B}ez, {N}icolas},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n {N}orthwest {A}frica, pelagic fisheries are a key economic sector. {H}owever, the scientific community is struggling to make satisfactory assessments of important pelagic species such as sardinella, due to the absence of relevant indices of abundance to adjust stock assessment models. {T}he present work describes a new geostatistical method applied to acoustic data to estimate a new acoustic index based on the semi-quantitative modeling of acoustic densities. {A}coustic energy is divided into binomial variables representing zero, low, medium, large and very large densities. {A} multidimensional geostatistical approach makes it possible to (i) map the spatial distribution of density classes and (ii) compute a new acoustic index of abundance for {S}ardinella aurita. {T}he data used in this work are those of the {F}ridtjof {N}ansen research vessel surveys and the {M}auritanian research vessel {A}l-{A}wam (2007-2010). {T}he results obtained on the distribution of sardinella show a strong distribution of acoustic densities from one year to the next. {T}he indices of abundance defined in this work were tested in the fit of an overall stock assessment model of round sardinella.},
  keywords = {{AFRIQUE} {DE} {L}'{OUEST} ; {SENEGAL} ; {MAURITANIE} ; {ATLANTIQUE}},
  numero = {},
  pages = {58},
  booktitle = {{I}nternational conference {ICAWA} 2016 : extended book of abstract : the {AWA} project : ecosystem approach to the management of fisheries and the marine environment in {W}est {A}frican waters},
  year = {2017},
  ISBN = {978-2-9553602-0-5},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072117},
}