Braham C.B., Bez Nicolas. (2017). Robust estimation of acoustic abundance indices [résumé]. In :
Brehmer Patrice (ed.), Ba B. (ed.), Kraus G. (ed.). International conference ICAWA 2016 : extended book of abstract : the AWA project : ecosystem approach to the management of fisheries and the marine environment in West African waters. Dakar : SRFC/CSRP ; IRD, p. 58. ICAWA : International Conference AWA, 3., Dakar (SEN), 2016/12/13-15. ISBN 978-2-9553602-0-5.
Titre du document
Robust estimation of acoustic abundance indices [résumé]
Année de publication
2017
Type de document
Colloque
Auteurs
Braham C.B., Bez Nicolas
In
Brehmer Patrice (ed.), Ba B. (ed.), Kraus G. (ed.) International conference ICAWA 2016 : extended book of abstract : the AWA project : ecosystem approach to the management of fisheries and the marine environment in West African waters
Source
Dakar : SRFC/CSRP ; IRD, 2017,
p. 58 ISBN 978-2-9553602-0-5
Colloque
ICAWA : International Conference AWA, 3., Dakar (SEN), 2016/12/13-15
In Northwest Africa, pelagic fisheries are a key economic sector. However, 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. The 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. Acoustic 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 Sardinella aurita. The data used in this work are those of the Fridtjof Nansen research vessel surveys and the Mauritanian research vessel Al-Awam (2007-2010). The results obtained on the distribution of sardinella show a strong distribution of acoustic densities from one year to the next. The indices of abundance defined in this work were tested in the fit of an overall stock assessment model of round sardinella.
Plan de classement
Sciences du milieu [021]
;
Ressources halieutiques [040]
;
Télédétection [126]
