Sobre mi
Soy un investigador cuantitativo en pesquerías nacido en Perú, pero viviendo actualmente en el hermoso País Vasco. Trabajo en la evaluación de stocks de atunes tropicales y templados en los océanos Atlántico e Índico. Mi experiencia viene principalmente de usar métodos estadísticos y modelos de dinámica poblacional para analizar datos ecologícos y de pesquerías en el ecosistema de la Corriente de Humboldt, Golfo de Alaska, mar de Bering, y océano abierto. Siempre estoy en busca de oportunidades para expandir mi experiencia a nuevas áreas en ecología cuantitativa.
Descarga mi CV.
Intereses
- Modelamiento estadístico
- Modelos de evaluación de stocks
- Ecología espacial
- Ecología de comunidades marinas
- Enseñanza en línea
Educación
Ph.D. en Ecología y Biogeoquímica del Océano. Estadística., 2018-2022
Oregon State University
M.S. (c) en Matemática Aplicada, 2015-2017
Universidad Nacional Mayor de San Marcos
B.Sc. en Ciencias Biológicas, 2009-2013
Universidad Nacional Mayor de San Marcos
Experiencia laboral
Investigador
AZTI
Investigación en modelos de evaluación para stocks de atunes en el Atlántico Norte y Océano Indico.
Investigador Postdoctoral
Universidad de Washington
Investigación en modelos de evaluación de stock estado-espacio de peces (Woods Hole Assessment Model-WHAM)
Miembro científico
Cousteau Consultant Group
Investigación en ecología y pesquerías. Instructor de cursos en ecología, estadística y pesquerías.
Asistente de enseñanza de posgrado
Oregon State University
Curso de análisis de datos provenientes de pesquerías y muestreos en el ámbito marino.
Asistente de investigación de posgrado
Oregon State University
Investigación aplicada al bacalao del Pacífico en la zona este del mar de Bering.
Investigador
Instituto del Mar del Perú
Evaluación de stocks de pequeños pelágicos, ecología espacial de peces pelágicos, ecología de comunidades del ambiente pelágico.
Proyectos
Collected data by onboard observers
Onboard observers provide data useful to evaluate the fishery dynamics. In this project, I implemented a simulation framework to evaluate the data quality collected by onboard observers under different precision scenarios and sampling strategies. This code in R can be applied to any stock and fishery worldwide.
Length information and estimation of growth in WHAM
In this project, I expand the current features of WHAM. Length-structured information (e.g. length compositions) can be input into the model, as well as conditional length-at-age data. Selectivity-at-length options have been added. A length-weight relationship could be modeled in case weight-at-age data is not available. Two strategies to model mean length-at-age can be modeled by using a parametric growth equation or inputting mean length-at-age by the user. Random effects in parameters can be estimated.
Fishing efficiency indicators from VMS data
Vessel monitoring system (VMS) is currently used in many fisheries worldwide. It provides data about the spatial location of fishing vessels with a certain frequency (typically 15 minutes). The stored data can be used to understand the movement and behavior of fishing vessels, and can be potentially used to infer spatial changes in the target stock. This library (VMSIndicators) implements some functions to understand changes in the efficiency of the Peruvian pelagic fleet using VMS data. A vignette is available.
Foraging component in DisMELS
In this project, I expaded the base features of DisMELS, an individual-based model used in the Alaska region. I added a foraging component to be able to model the prey perception, attack, and ingestion by fish larvae. Also, a new survival function was included. ROMS prey fields are required. It is applied to the Pacific cod in the eastern Bering Sea, but may be adapted to any species.
Simulation experiment to evaluate the consequences of misspecification in somatic growth in stock assessment models
ss3sim has been used to implement a simulation experiment to evaluate the computational costs and consequences of considering or ignoring, respectively, spatial or temporal variability in somatic growth. Three types of life history were evaluated (sardine, cod, and rockfish). More details in this repository.
Model-based method to estimate age composition of fish stocks
Continuation ratio logit, a ordinal multinomial model, has been used to model proportions at age of fish individuals in the age subsample using generalized additive models (GAM) for estimation. It can be applied to any fish stock, either using survey or fisheries data. The user can specify the explanatory variables. More details can be found in this repository.
Spatial feature in the ss3sim package
The ss3sim package (v1.0.3), originally developed by Sean Anderson (Anderson et al, 2014), was modified to enable it to simulate spatially explicit operating models (more than 1 area is allowed). The estimation models can have a number of areas equal or less than the operating model. This modification may be useful to evaluate spatial variability in biological parameters or fishing mortality.
Spatial indicators based on large and meso-scale aggregations of fish populations
These indicators were applied to the Peruvian anchovy in the northern Humboldt Current System. A spatial hierarchical model is implemented using acoustic data. Then, both types of indicators (6) are estimated. More details can be found in this repository.
Presentaciones
Best practices for modeling time-varying growth in state-space stock assessments
Temporal variability in biological parameters (i.e., population processes) is common among fish stocks and may substantially impact the …
Responding to climate-driven changes in growth in the modern stock assessment models
Temporal variability in somatic growth is one of the main drivers of biomass fluctuations in fish stocks but is infrequently modeled …
Modeling the multiple action pathways of projected climate change on the Pacific cod (Gadus macrocephalus) early life stages
Ocean acidification (OA) has the potential to significantly affect the production of valuable fishery resources, including gadids and …
Incorporating the impacts of climate variability on growth in fish population dynamics models
Variations in ocean conditions influenced by climate fluctuations may impact fish populations by changing their spatial distribution, …
Publications
Visita mi ResearchGate o Google Scholar para acceder a mis publicaciones.
Contacto
- gmoron@azti.es
- +34671750079
- Txatxarramendi ugartea z/g, Sukarrieta, Bizkaia 48395
- AZTI
- Monday - Friday 8:30 to 16:30
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