@article{fdi:010061951,
  title = {{I}ndicator variables for a robust estimation of an acoustic index of abundance},
  author = {{B}ez, {N}icolas and {B}raham, {C}. {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n {N}orth {W}est {A}frica, pelagic fisheries are an essential economic sector. {H}owever, the scientific community fails to perform satisfactory assessments of key pelagic species like sardinella, owing to a lack of relevant indices of abundance to tune the model. {T}his paper provides an alternative acoustic index based on a semiquantitative modelisation of acoustic densities. {A}coustic energy is split into binomial variables coding for null, low, medium, large, and very large densities. {A} multivariate geostatistical approach allows (i) mapping the spatial distribution of classes of densities and (ii) computing a new acoustic index of abundance for {S}ardinella aurita and {S}ardinella maderensis. {W}e used the surveys of {RV} {F}ridtjof {N}ansen (1995-2006) and {RV} {A}l-{A}wam (2007-2010). {O}ur results indicated that empirical spatial structures were highly stable over time for both between areas and surveys. {C}o-kriging maps also showed that sardinella had stable hot spots of distribution. {T}he indices of abundance developed in the present study were tested in an assessment procedure and outperformed all the indices used routinely by the {FAO}-{CECAF} ({F}ishery {C}ommittee for the {E}astern {C}entral {A}tlantic) assessment working group.},
  keywords = {{ATLANTIQUE} ; {MAROC} ; {MAURITANIE} ; {SENEGAL}},
  booktitle = {},
  journal = {{C}anadian {J}ournal of {F}isheries and {A}quatic {S}ciences},
  volume = {71},
  numero = {5},
  pages = {709--718},
  ISSN = {0706-652{X}},
  year = {2014},
  DOI = {10.1139/cjfas-2013-0437},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061951},
}