@article{fdi:010082151, title = {{U}nderstanding connectivity of pearl oyster populations within {T}uamotu atoll semi-closed lagoons : cumulative insight from genetics and biophysical modelling approaches}, author = {{A}ndr{\'e}fou{\¨e}t, {S}erge and {L}e {G}endre, {R}. and {T}homas, {Y}oann and {L}o-{Y}at, {A}. and {R}eisser, {C}. {M}. {O}.}, editor = {}, language = {{ENG}}, abstract = {{C}onnectivity affects species demography, (meta)population dynamics, evolution, phylogeny and biogeography. {V}arious methodological approaches are applied to measure connectivity. {B}iophysical modelling can explore systematically the influence of atmospheric, oceanic and ecological forcing, while genetics measures connectivity patterns within the sampling strategy limit. {I}n the {P}acific {O}cean pearl farming lagoons, the activity relies on spat collecting of the black lipped pearl oyster {P}inctada margaritifera occurring after the larval dispersal phase, which follows spawning from wild or farmed populations. {B}iophysical 3{D} modelling and genomic studies have both separately brought insights on within-lagoon connectivity and on the origin of spats. {H}ere, we combined previous genetics results with new realistic biophysical modelling scenarios to elucidate connectivity in {A}he {A}toll lagoon. {W}hen combined, we identified the weather sequence likely explaining the realized connectivity observations. {W}e discuss the strengths, weaknesses, opportunities and threats of combining these two approaches considering specific pearl farming demographic connectivity questions.}, keywords = {{C}onnectivity matrix ; {P}opulation genomics ; {L}agoon hydrodynamics ; {D}ispersal modelling ; {P}inctada margaritifera ; {POLYNESIE} {FRANCAISE} ; {TUAMOTU} {ATOLL} ; {AHE} {ATOLL}}, booktitle = {}, journal = {{M}arine {P}ollution {B}ulletin}, volume = {167}, numero = {}, pages = {112324 [13 p.]}, ISSN = {0025-326{X}}, year = {2021}, DOI = {10.1016/j.marpolbul.2021.112324}, URL = {https://www.documentation.ird.fr/hor/fdi:010082151}, }