@article{fdi:010072053,
  title = {{L}ong-term fishing impact on the {S}enegalese coastal demersal resources : diagnosing from stock assessment models},
  author = {{B}a, {K}. and {T}hiaw, {M}. and {F}all, {M}. and {T}hiam, {N}. and {M}eissa, {B}. and {J}ouffre, {D}idier and {T}hiaw, {O}. {T}. and {G}ascuel, {D}.},
  editor = {},
  language = {{ENG}},
  abstract = {{F}or the first time in {S}enegal, assessments based on both stochastic and deterministic production models were used to draw a global diagnosis of the fishing impact on coastal demersal stocks. {B}ased one national fisheries databases and scientific trawl surveys data: (i) trends in landings since 1971 were examined, (ii) abundance indices of 10 stocks were estimated using linear models fitted to surveys data and commercial catch per unit efforts, and (iii) stock assessments were carried out using pseudo-equilibrium {F}ox and {P}ella-{T}omlinson models and a {B}iomass dynamic production model fitted in a {B}ayesian framework to abundance indices. {M}ost stocks have seen their abundance sharply declining over time. {A}ll stocks combined, results of stock assessments suggest a 63% reduction compared to virgin state. {T}hree fifth of demersal stocks are overexploited and excess in fishing effort was estimated until 75% for the worst case. {W}e conclude by suggesting that the fishing of such species must be regulated and an ecosystem approach to fisheries management should be implemented in order to monitor the whole ecosystem.},
  keywords = {{C}oastal demersal species ; delta-{GLM} models ; surplus production models ; {B}ayesian approach ; overexploitation ; {W}est {A}frica ; {SENEGAL}},
  booktitle = {},
  journal = {{A}quatic {L}iving {R}esources},
  volume = {31},
  numero = {},
  pages = {art. 8 [13 p.]},
  ISSN = {0990-7440},
  year = {2018},
  DOI = {10.1051/alr/2017046},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072053},
}