@article{fdi:010090356,
  title = {{A} multivariate approach to synthetize large amount of connectivity matrices for management decisions : application to oyster population restocking in the pearl farming context of {T}uamotu {A}rchipelago semi-closed atolls},
  author = {{V}iolette, {C}. and {L}e {G}endre, {R}. and {C}hauveau, {M}. and {A}ndr{\'e}fou{\¨e}t, {S}erge},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n applied ecology, numerical biophysical modelling allows running numerous simulations of spatial connectivity between source and destination locations. {T}o characterize population connectivity, larval dispersal and resulting connectivity matrices can

be computed for various forcing conditions of wind, density of spawners, or pelagic larval durations. {H}ere, we investigate a methodology to synthetize meaningfully all numerical experiments performed for three atoll lagoons in the {T}uamotu {A}rchipelago

pearl farming context. {T}he objective is to identify the best restocking locations that consistently maximize the spread of pearl oyster larval dispersal, considering all forcing conditions. {A} multivariate generic approach is used to process and synthesize time-series of connectivity matrices and identify afterward with contextual criteria the spawning locations that match a variety of specific connectivity, logistical and ecological criteria. {S}imilar synthesis of large volume of connectivity matrices will likely gain momentum considering the increasing use of numerical models for applied science and population management.},
  keywords = {{TUAMOTU} {ATOLL}},
  booktitle = {},
  journal = {{M}arine {P}ollution {B}ulletin},
  volume = {189},
  numero = {},
  pages = {114748 [14 ]},
  ISSN = {0025-326{X}},
  year = {2023},
  DOI = {10.1016/j.marpolbul.2023.114748},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090356},
}