@inproceedings{fdi:010072120,
  title = {{E}ffect of climate variability on decadal changes in small pelagic fisheries in the {W}est {A}frican upwelling {E}cosystem : the case of {S}ardinella aurita in {S}enegal [r{\'e}sum{\'e}]},
  author = {{T}hiaw, {M}. and {F}aye, {S}. and {A}uger, {P}ierre-{A}ma{\¨e}l and {B}rochier, {T}imoth{\'e}e and {B}rehmer, {P}atrice},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n {N}orthwest {A}frican upwelling system, the populations of {S}ardinella aurita show evidence of important log-term natural fluctuations in their abundance, which have implications for medium and long-term forecasting of catches. {T}hese fluctuations seem to be related, among other factor, to large-scale climatic variability, raising important scientific and economics concerns. {U}nderstanding the processes affecting recruitment/abundance is a fundamental objective of fisheries biology. {T}hus, this study assesses the effect of climatic variability on the abundance of {S}. aurita in {N}orthwest {A}frican upwelling system. {M}onthly data indicating the abundance of sardinella were first estimated from commercial statistics, using {G}eneralized {L}inear {M}odel techniques over the period 1966- 2011. {A}bundance indices were then compared with environmental indices, at the local scale, a {C}oastal {U}pwelling {I}ndex ({CUI}) and a coastal {S}ea {S}urface {T}emperature ({SST}) index, and on a large scale, the {N}orth {A}tlantic {O}scillation ({NAO}), the {A}tlantic {M}ultidecadal {O}scillation ({AMO}) and the {M}ultivariate {E}l {N}iño {S}outhern {O}scillation {I}ndex ({MEI}), using times series analyses, linear models and generalized additive models. {T}he results showed that the abundance of sardinella is determined by a strong seasonal pattern and inter-annual fluctuations. {T}he abundance of {S}. aurita peaked in spring and in autumn. {T}he trend of the sardinella abundance was significantly correlated with the {CUI}, especially in autumn and spring. {I}nterannual fluctuations of {S}. aurita abundance are respectively driven by the precocity and the duration of the upwelling season that is attributed to distinct migration patterns. {S}ardinella species also respond with a delay of around 4 years to the winter {NAO} index and the autumn {CUI}, and the {AMO} index respectively, either related to migration patterns. {T}he wide variations in sardinella biomass are caused by variations in environmental conditions, which should be considered in the implementation of an ecosystem-based approach in sardinella stocks management.},
  keywords = {{AFRIQUE} {DE} {L}'{OUEST} ; {SENEGAL} ; {ATLANTIQUE}},
  numero = {},
  pages = {61--62},
  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:010072120},
}