Edgar Josymar Torrejón Magallanes

Edgar Josymar Torrejón Magallanes

Ph.D. Fisheries and Aquaculture Bioeconomics

Centro Interdisciplinario de Ciencias Marinas (CICIMAR)

Biography

I am from Lima, Peru, and thanks to my career I have been able to know many places and live in some of them, such as Ensenada (Baja California, México), Bilbao (Basque Country), La Paz (Baja California Sur, México). I received a BSc in Fishery Biology at the Universidad Nacional Mayor de San Marcos (UNMSM). After that, I worked at the Instituto del Mar del Perú (IMARPE) from 2010 - 2012 and 2014 - 2018 as a fishery scientist. I was researching and working on population dynamics, stock assessment models of straddling and highly migratory species such as dolphinfish (Coryphaena hyppurus), horse mackerel (Trachurus murphyi), Pacific chub mackerel (Scomber japonicus), in the development and improvement of software tools for stock assessment and technical reports. Also, I was part of the Peruvian anchovy (Engraulis ringens) stock assessment group.

In 2014 I received a MSc in Marine Ecology at CICESE. In August 2022, I received a Ph.D. at the Centro Interdisciplinario de Ciencias Marinas (CICIMAR, Mexico), where I was researching on the bio-economic impact assessment of different management strategies in the Peruvian industrial fisheries.

Download my CV.

Interests

  • Fisheries Bioeconomics
  • Fish Population Dynamics
  • Quantitative Analysis of Fisheries
  • Species Distribution Modeling
  • Development of R packages

Education

  • Ph.D. in Fisheries and Aquaculture Bioeconomics, 2018 - 2022

    Centro Interdisciplinario de Ciencias Marinas (CICIMAR - IPN, México)

  • MSc in Marine Ecology, 2012 - 2014

    Centro de Investigación Científica y Educación Superior Ensenada (CICESE, Mexico)

  • BSc in Biology (Hidrobiology and Fisheries Science), 2005 - 2009

    Universidad Nacional Mayor de San Marcos (UNMSM, Perú)

Skills

R/RStudio

100%

Population dynamics

80%

WHAM / FLBEIA

75%

Distribution modeling

75%

RMarkdown / LaTeX

70%

Bayesian statistics (INLA)

50%

Experience

Professional and Research

 
 
 
 
 

Scientific advisor

Sustainable Fisheries Partnership (SFP)

May 2022 – Dec 2022 Lima, Perú

Responsibilities:

  • Conduct scientific analysis and targeted research supporting SFP’s strategy to improve fisheries management in different fisheries of interest to the Global Fisheries Program.
 
 
 
 
 

Associated scientific researcher

Cousteau Consultant Group

Sep 2020 – Present Lima, Perú

Responsibilities:

  • Instructor in fish populations dynamics, stock assessment, species distribution modeling and statistics using R.
  • Organize scientific talks.
 
 
 
 
 

Research intership

AZTI

Oct 2019 – Dec 2019 Bilbao, Basque Country
Working on the bioeconomic impact assessment of different management strategies in the Pacific chub mackerel fishery using the FLBEIA simulation model.
 
 
 
 
 

Research intership

Inter American Tropical Tunna Commision (IATTC)

Feb 2016 – Mar 2016 La Jolla, California, USA
Invited to work on the stock assessment of dolphinfish (Coryphaena hyppurus) using the stock assessment program Stock Synthesis (SS).
 
 
 
 
 

Researcher

Instituto del Mar del Perú (IMARPE)

Oct 2014 – Aug 2018 Callao, Perú
Researching and working on population dynamics, stock assessment and spatio-temporal distribution modeling of straddling and highly migratory species.
 
 
 
 
 

Researcher

Instituto del Mar del Perú (IMARPE)

May 2010 – Jul 2012 Callao, Perú
Use of models to estimate the direct impact of discards and bycatch on individual populations (mainly on anchovy - Engraulis ringens) and indirect impact on the surrounding ecosystem.

Scientific Events

Coming soon

Projects

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Ecological Niche models (ENM)

Ecological Niche models (ENM)

This project is focus on the Ecological Niche Modeling (ENM) using different tools such as kuenm and ntbox R packages. I am working with Luis Enrique Ángeles-González from UNAM (Mexico). We are projecting climate change scenarios to assess the vulnerability of commercially important marine species, such as red octopus (Octopus maya) in Mexico and Pacific chub mackerel (Scomber japonicus) in Peru.

Species Distribution Models (SDM)

Species Distribution Models (SDM)

This project is focus on the Species Distribution Modeling (SDM) of pelagic species. I am working applying a Hierarchical Bayesian models (HBM) to incorporate the spatiotemporal correlation, which can improve both the models and predictions of the species distribution pattern than traditional SDMs methods. We are using a large time series fishery-dependent database to predict the habitat distribution of different pelagic species in the northern Peruvian Current system.

Natural mortality estimation (alternative to metapopulation analysis)

Natural mortality estimation (alternative to metapopulation analysis)

This is an R-package to estimate Natural Mortality (M) throughout the life history of species, mainly for fish and invertebrates, based on the gnomonic interval approach (Caddy, 1991, 1996; Martínez-Aguilar et al., 2005). I have included improvements modifying some equations and the estimation procedure.

Estimate Size at Sexual Maturity

Estimate Size at Sexual Maturity

This is an R-package to estimate Size at Morphometric and Gonadal Maturity for organisms, usually fish and invertebrates. It includes methods for classification based on relative growth (principal components analysis, hierarchical clustering, discriminant analysis), logistic regression (frequentist or Bayes), parameters estimation and some basic plots. The estimation of morphometric maturity used two allometric variables and is based on the relative growth. On the other hand, the estimation of gonadal maturity used one allometric variable and the stage of sexual maturity (gonad maturation stage).

WHAM a state-space age-structured assessment model

WHAM a state-space age-structured assessment model

The Woods Hole Assessment Model (WHAM) is a general state-space age-structured stock assessment framework developed by Tim Miller and Brian Stock from NOAA. This model is designed to include environmental effects on population processes. The state-space framework is attractive because it can estimate observation and process error, as well as naturally propagate random effect parameters in stock projections. WHAM has many similarities to ASAP (Age Structured Assessment Program) (Legault and Restrepo 1998), including the input data file structure. Currently, the stock assessment of my thesis research follows the WHAM framework.

FLBEIA Bioeconomic Impact Assessment using FLR

FLBEIA Bioeconomic Impact Assessment using FLR

Simulation model developed by Dorleta Garcia from AZTI focus on the bio-economic impact assessment of the different fisheries management strategies. FLBEIA is a free and open software that covers the entire cycle of the fisheries management process, data collection, stock assessment, advice (based on TAC or effort), and implementation. Thus, FLBEIA makes it possible to evaluate management strategies, both from a biological and economic point of view, to facilitate management decisions in the medium and long term. Currently, I am using this simulation model and the Management Strategy Evaluation (MSE) approach in my thesis research.

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