@article{fdi:010060253,
  title = {{I}nter-ocean asynchrony in whale shark occurrence patterns},
  author = {{S}equieira, {A}.{M}.{M}. and {M}ellin, {C}. and {F}loch, {L}aurent and {W}illiams, {P}.{G}. and {B}radshaw, {C}.{J}.{A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he whale shark ({R}hincodon typus, {S}mith, 1828) is a migratory species (classed as {V}ulnerable by the {IUCN}) with genetic and circumstantial evidence for inter-ocean connectivity. {G}iven this migratory behaviour, populationwide occurrence trends can only be contextualized by examining the synchrony in occurrence patterns among locations where they occur. {W}e present a two-step modelling approach of whale shark spatial and temporal probability of occurrence in the {A}tlantic and {P}acific {O}ceans using generalized linear mixed-effects models. {T}o test the hypothesis that the probability of whale shark occurrence is asynchronous across oceans, as expected if inter-ocean migration occurs, we used long-term datasets of whale shark sightings derived from tuna purseseine logbooks covering most of the central-east {A}tlantic (19802010) and western {P}acific (20002010). {W}e predicted seasonal habitat suitability to produce maps in each area, and then evaluated the relative effect of time (year) on the probability of occurrence to test whether it changed over the study period. {W}e also applied fast {F}ourier transforms to determine if any periodicity was apparent in whale shark occurrences in each ocean. {A}fter partialling out the effects of seasonal patterns in spatial distribution and sampling effort, we found no evidence for a temporal trend inwhale shark occurrence in the {A}tlantic, but therewas aweak trend of increasing probability of occurrence in the {P}acific. {T}he highest-ranked model for the latter included a spatial predictor of occurrence along with fishing effort, a linear term for time, and a random temporal effect (year), explaining 15% of deviance in whale shark probability of occurrence. {F}ast {F}ourier transforms revealed a prominent 15.5-year cycle in the {A}tlantic. {T}he increase in the probability of occurrence in the {P}acific is concurrent with a decrease previously detected in the {I}ndian {O}cean. {C}yclic patterns driven by migratory behaviour would better explain temporal trends in whale shark occurrence at the oceanic scale. {H}owever, despite cycles partially explaining observations of fewer sharks in some years, overall reported sighting rate has been decreasing. {A}s a result, we suggest that the current {IUCN} status of the species should be re-assessed, but more data are needed to examine the flow of individuals across oceans and to identify possible reasons for asynchronous occurrences.},
  keywords = {{POISSON} {MARIN} ; {ESPECE} {MENACEE} ; {DISTRIBUTION} {SPATIALE} ; {MIGRATION} ; {ABONDANCE} ; {VARIATION} {INTERANNUELLE} ; {MODELISATION} ; {REQUIN} {BALEINE} ; {ATLANTIQUE} ; {PACIFIQUE} ; {OCEAN} {INDIEN}},
  booktitle = {{C}harismatic marine mega-fauna},
  journal = {{J}ournal of {E}xperimental {M}arine {B}iology and {E}cology},
  volume = {450},
  numero = {},
  pages = {21--29},
  ISSN = {0022-0981},
  year = {2014},
  DOI = {10.1016/j.jembe.2013.10.019},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060253},
}