Rocío Joo


My research is focused on movement ecology; particularly on the development and adaption of statistical methods for the analysis of trajectories of animals and human predators (i.e. fishers). My postdoctoral research, starting on January 2018, focuses on seabirds movement ecology, specifically on how environmental cues such as meteorological conditions or the infrasoundscape shape seabirds spatial behavior. The postdoc is part of a large international SeabirdSound project.

From From

Before this postdoc, I did another one at the French Research Institute for Exploitation of the Sea (IFREMER, Nantes, France), focused on the assessment of collective behavior in ecology. I also worked at the Peruvian Marine Research Institute (IMARPE, Callao, Peru) studying the spatiotemporal dynamics of the Peruvian fishing fleets.

More details on my past and current research projects, groups, publications and students can be found below.

Recent available presentations

  • Workshop on the MomentuHMM package in R for Hidden Markov models. University of Liverpool, May 2018. Check it out here.

  • Metrics for describing dyadic joint movement. International Statistical Ecology Conference, July 2018. Check it out here.

Reseach Experience

2016-2017 Postdoctoral associate at French Research Institute for Exploitation of the Sea (IFREMER; Nantes, France)
Subject Assessing joint-movement behavior in ecology
Supervisor Dr. Stéphanie Mahévas
Description A review of indices from the literature (medicine, physics, computer analysis, ecology, sports, psychology, etc.) for measuring dyad interaction was made and applied to simulated data. Then, a subset of indices was chosen and applied to several sets of fisher trajectories to analyse collective movement behaviour and strategies.
2014-2016 Research associate at Peruvian Marine Research Institute (IMARPE; Callao, Peru)
Subject Spatiotemporal dynamics of the Peruvian fishing fleets
Description Analysis of spatial and temporal dynamics of fishing effort from the industrial anchovy and the multispecific artisanal fleets. Development of spatial indicators for monitoring both the fishery and the state of the resources (acoustic surveys).
2013 Postdoctoral associate at Institute of Research for Development (IRD; Sète, France)
Subject Modelling the trajectories of floating artificial devices and their associations to fishing vessel movement
Supervisor Dr. David Kaplan
Description Identification of at-sea and on-board (of a vessel) patterns in floating artificial devices trajectories through the use of hidden Markov and semi-Markov models, random forests and hybrid discriminative-generative models.
2010-2013 PhD Thesis at University of Montpellier 2 (UM2; Montpellier, France)
Subject Characterizing fishermen spatial behaviour: hidden stories from trajectory data. A 2000-2009 study on the Northern Humboldt Current System.
Supervisors Dr. Sophie Bertrand (IRD) and Dr. Ronan Fablet (Telecom-Bretagne)
Description Trajectory data from fishing trips were analysed for characterizing fisher spatial behaviour at multiple scales. Several generative and discriminative methods were compared for inferring the behavioural mode sequences corresponding to those trajectories. Changes in those behaviours were associated to environmental changes (obtained via acoustic and satellite data), and those associations were quantified. Patterns of spatial behaviour were classified into groups related to particular fishing strategies.
2010 Master Thesis at Montpellier SupAgro and UM2 (Montpellier, France)
Subject Random walk model fitting and selection for fishing trajectories
Supervisors Dr. Sophie Bertrand (IRD) and Dr. Jean-Michel Marin (UM2)
Description Comparison of Brownian and Lévy walks through the tails of their probability distributions. Several tests of goodness-of-fit and model selection criteria were investigated, as well as the sensitivity of model selection and goodness-of-fit results to the definition of the tail of the distribution. The case of study consisted of three fishing vessel trajectories.
2008-2009 Bachelor Thesis at National University of Engineerig (UNI; Lima, Peru)
Subject Artificial neural networks for identifying locations of fishing operations from trajectory data
Supervisors Dr. Sophie Bertrand (IRD)
Description Calibration and sensitivity analysis of neural networks to identify geolocation records corresponding to fishing behaviour.

Research Groups and Projects




  • Joo, Diaz. Optimum sample size for estimating anchovy length distribution and the proportion of juveniles per fishing set for the Peruvian purse-seine fleet. 2017. Revista Peruana de Biologia 24 (059-066).
  • Joo, Grados, Bouchon and Diaz. Optimum sample size for a program of observers on board fishing vessels targetting Peruvian anchovy (Engraulis ringens). 2016. Revista Peruana de Biologia 23 (169-182)
  • Joo, Salcedo, Gutierrez, Fablet and Bertrand. Defining fishing spatial strategies from VMS data: insights from the world’s largest monospecific fishery. 2015. Fisheries Research 164 (223-230)
  • Bertrand, Joo and Fablet. Generalized Pareto for Pattern-Oriented Random Walk Modelling of Organisms’ Movements. 2015. PLOS ONE 10 (e0132231)
  • Maufroy, Chassot, Joo, and Kaplan. First large-scale examination of spatio-temporal patterns of drifting fish aggregating devices from tropical tuna fisheries of the Indian and Atlantic Oceans. 2015. PLOS ONE 10 (e0128023)
  • Joo, Bertrand, Bouchon, Segura, Chaigneau, Demarcq, Tam, Simier, Gutierrez, Gutierrez, Fablet and Bertrand. Ecosystem scenarios shape fishing spatial behaviour. The case of the anchovy fishery in the Northern Humboldt Current System. 2014. Progress in Oceanography 128 (60-73)
  • Joo, Bertrand, Tam and Fablet. Hidden Markov models: the best models for forager movements? 2013. PLOS ONE 8 (e71246)
  • Bertrand, Joo, Arbulu Smet, Tremblay, Barbraud and Weimerskirch. Local depletion by a fishery can affect seabird foraging. 2012. Journal of Applied Ecology 49 (1168-1177)
  • Joo, Bertrand, Chaigneau and Niquen. Optimization of an artificial neural network for identification of fishing event positions from Vessel Monitoring System data. 2011. Ecological Modelling 222 (1048-1059)

Article reviews

Canadian Journal of Fisheries and Aquatic Sciences, Computer Methods and Programs in Biomedicine, Ecological Modelling, Ecology, ICES Journal of Marine Science, IEEE Journal of Oceanic Engineering, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Movement Ecology and PLOS ONE.


  • Pablo Marin. Comparing classification methods for fishing trips in the Peruvian pelagic fishery. Major National University of San Marcos (UNMSM). Lima, Peru. Master in Statistics. 2016-2018.

  • Paul Tacuri. Analysing the spatial behaviour of artisanal fishers through their fishing set locations and species composition. UNMSM. Lima, Peru. Bachelor in Biology. 2016-2018.

  • Icaro Santos Da Silva. Spatial patterns of open sea canoes out of Sergipe waters. Federal University of Sergipe. Sergipe, Brazil. Bachelor in Fisheries Science. Main advisor: M. Thomé de Souza. 2016-2017.

  • Fiorella Vilela. Inter-season variability of the anchovy fishery daily catches from 2002 to 2015. Peruvian University Cayetano Heredia (UPCH). Lima, Peru. Bachelor in Biology. Main advisor: E. Diaz. 2016-2017.

  • Marissela Pozada. Multivariate characterization of the fishing sets in the Peruvian pelagic fishery using on-board observers’ data. National Agrarian University of La Molina. Lima, Peru. Bachelor in Fisheries Science. 2015-2016.

  • Rommy Camasca. Comparing random field patterns modelled under a geostatistical approach: an application to fisheries ecology. UNI. Lima, Peru. Bachelor in Statistics Engineering. 2014-2015.

  • Christian Amao. Spatio-temporal patterns of variability related to El Ni~no Southern Oscillation characterized via Empirical Ortogonal Functions and the time-domain analysis of principal components. UNI. Lima, Peru. Bachelor in Statistics Engineering. Main advisor: S. Camiz (Sapienza Universita di Roma). Other advisors: D. Grados, C. Quispe, J. Tam, A. Ordonez. 2014-2015.

  • Omar Salcedo. Hierarchical and non hierarchical clustering methods and quasi-experimental design for characterizing fishing trip strategies. UNI. Lima, Peru. Bachelor in Statistics Engineering. 2013-2014.


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