@article{fdi:010091278, title = {{E}arly-life dispersal traits of coastal fishes : an extensive database combining observations and growth models}, author = {{D}i {S}tefano, {M}. and {N}erini, {D}. and {A}lvarez, {I}. and {A}rdizzone, {G}. and {A}struch, {P}. and {B}asterretxea, {G}. and {B}lanfun{\'e}, {A}. and {B}onhomme, {D}. and {C}alò, {A}. and {C}atalan, {I}. and {C}attano, {C}. and {C}hemin{\'e}e, {A}. and {C}rec'hriou, {R}. and {C}uadros, {A}. and {D}i {F}ranco, {A}. and {D}iaz-{G}il, {C}. and {E}staque, {T}. and {F}aillettaz, {R}. and {F}{\'e}lix-{H}ackradt, {F}. {C}. and {G}arcia-{C}harton, {J}. {A}. and {G}uidetti, {P}. and {G}uilloux, {L}. and {H}armelin, {J}. {G}. and {H}armelin-{V}ivien, {M}. and {H}idalgo, {M}. and {H}inz, {H}. and {I}risson, {J}. {O}. and {L}a {M}esa, {G}. and {L}e {D}ir{\'e}ach, {L}. and {L}enfant, {P}. and {M}acpherson, {E}. and {M}atic-{S}koko, {S}. and {M}ercader, {M}. and {M}ilazzo, {M}. and {M}onfort, {T}. and {M}oranta, {J}. and {M}untoni, {M}. and {M}urenu, {M}. and {N}unez, {L}. and {O}livar, {M}. {P}. and {P}astor, {J}. and {P}{\'e}rez-{R}uzafa, {A}. and {P}lanes, {S}. and {R}aventos, {N}. and {R}ichaume, {J}. and {R}ouanet, {E}. and {R}oussel, {E}. and {R}uitton, {S}. and {S}abat{\'e}s, {A}. and {T}hibaut, {T}. and {V}entura, {D}. and {V}igliola, {L}aurent and {V}rdoljak, {D}. and {R}ossi, {V}.}, editor = {}, language = {{ENG}}, abstract = {{E}arly-life stages play a key role in the dynamics of bipartite life cycle marine fish populations. {D}ifficult to monitor, observations of these stages are often scattered in space and time. {W}hile {M}editerranean coastlines have often been surveyed, no effort has been made to assemble historical observations. {H}ere we build an exhaustive compilation of dispersal traits for coastal fish species, considering in situ observations and growth models ({D}i {S}tefano et al., 2023; https://doi.org/10.17882/91148). {O}ur database contains over 110 000 entries collected from 1993 to 2021 in various subregions. {A}ll observations are harmonized to provide information on dates and geolocations of both spawning and settlement, along with pelagic larval durations. {W}hen applicable, missing data and associated confidence intervals are reconstructed from dynamic energy budget theory. {S}tatistical analyses allow traits' variability to be revisited and sampling biases to be revealed across taxa, space and time, hence providing recommendations for future studies and sampling. {C}omparison of observed and modelled entries provides suggestions to improve the feed of observations into models. {O}verall, this extensive database is a crucial step to investigate how marine fish populations respond to global changes across environmental gradients.}, keywords = {{MEDITERRANEE}}, booktitle = {}, journal = {{E}arth {S}ystem {S}cience {D}ata}, volume = {16}, numero = {8}, pages = {3851--3871}, ISSN = {1866-3508}, year = {2024}, DOI = {10.5194/essd-16-3851-2024}, URL = {https://www.documentation.ird.fr/hor/fdi:010091278}, }