@article{fdi:010064097, title = {{F}rom forager tracks to prey distributions : an application to tuna vessel monitoring systems ({VMS})}, author = {{W}alker, {E}. and {R}ivoirard, {J}. and {G}aspar, {P}. and {B}ez, {N}icolas}, editor = {}, language = {{ENG}}, abstract = {{I}n the open ocean, movements of migratory fish populations are typically surveyed using tagging methods that are subject to low sample sizes for archive tags, except for a few notable examples, and poor temporal resolution for conventional tags. {A}lternatively, one can infer patterns of movement of migratory fish by tracking movements of their predators, i.e., fishing vessels, whose navigational systems (e.g., {GPS}) provide accurate and frequent {VMS} (vessel monitoring system) records of movement in pursuit of prey. {I}n this paper, we develop a state-space model that infers the foraging activities of fishing vessels from their tracks. {S}econd, we link foraging activities to probabilities of tuna presence. {F}inally, using multivariate geostatistical interpolation (cokriging) we map the probability of tuna presence together with their estimation variances and produce a time series of indices of abundance. {W}hile the segmentation of the trajectories is validated by observers' data, the present {VMS}-index is compared to catch rate and proved to be useful for management perspectives. {T}he approach reported in this manuscript extends beyond the case study considered. {I}t can be applied to any foragers that engage in an attempt of capture when they see prey and for whom this attempt is linked to a tractable change in behavior.}, keywords = {{GPS} ; multivariate geostatistics ; presence index ; spatiotemporal ; distribution ; trajectometry ; tropical tuna ; vessel monitoring system ; ({VMS}) ; {OCEAN} {INDIEN}}, booktitle = {}, journal = {{E}cological {A}pplications}, volume = {25}, numero = {3}, pages = {826--833}, ISSN = {1051-0761}, year = {2015}, DOI = {10.1890/14-0193.1.sm}, URL = {https://www.documentation.ird.fr/hor/fdi:010064097}, }