@article{fdi:010091325,
  title = {{A}ssessment of growth and stock status of data-limited {E}thmalosa fimbriata fishery in {T}he {G}ambia},
  author = {{J}allow, {M}. {S}. and {B}ald{\'e}, {B}. {S}. and {S}idibeh, {M}. and {B}rehmer, {P}atrice},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he stock status in many small scale fisheries is often unknown, usually because of limited or absence of data, particularly in the global south. {M}any data-limited assessments are oriented toward an assessment of fishing pressure. {A}ssessments are often limited by the processes involved in quantifying the uncertainties associated with process and observation errors. {U}sing catch and length data, we evaluated and compared the performance of stock assessment models for {E}thmalosa fimbriata in {T}he {G}ambia. {A}s catch-based models, we used an extension of the {M}aximum {S}ustainable {Y}ield "{MSY}" catch ({CMSY}++) and a {B}ayesian length-based model ({LBB}). {B}oth {LBB} and {CMSY}++ models provided good results. {I}ndeed, this case study provides guidelines to consider when using length- and catch-based pseudo-cohort models for data-poor fisheries. {C}onsequently, the indicators estimated for {E}. fimbriata in {T}he {G}ambia can be used for sustainable management. {B}oth models showed that the {E}. fimbriata stock was in a state of recovery with reduced fishing pressure. {R}educing fishing efforts could, therefore, help improve stock management. {F}inally, we advocate further investigation of simple empirical management procedures, irrespective of data limitations, because of their ability to achieve fisheries management objectives when the data context requires such an approach.},
  keywords = {{S}mall pelagics ; {S}mall scale fisheries ; {L}ength-{B}ased {B}ayesian ; {D}ata limited fisheries ; {W}est {A}frica ; {GAMBIE}},
  booktitle = {},
  journal = {{R}egional {S}tudies in {M}arine {S}cience},
  volume = {78},
  numero = {},
  pages = {103786 [10 ]},
  ISSN = {2352-4855},
  year = {2024},
  DOI = {10.1016/j.rsma.2024.103786},
  URL = {https://www.documentation.ird.fr/hor/fdi:010091325},
}