About me
I am a Peruvian quantitative fisheries scientist currently based in the beautiful Basque Country. I work on the assessment of tropical and temperate tunas in the Atlantic and Indian Oceans. My experience mainly comes from using statistical methods and population dynamic models to analyze ecological and fishery data in the Humboldt Current System, Gulf of Alaska, eastern Bering Sea, and open oceans. I am always looking for opportunities to expand my research experience to new areas in quantitative ecology!
Download my resumé.
Interests
- Statistical modeling
- Stock assessment models
- Spatial ecology
- Community ecology
- Online teaching
Education
Ph.D. in Ocean Ecology and Biogeochemistry. Statistics., 2018-2022
Oregon State University
M.S. (c) in Applied Mathematics, 2015-2017
Universidad Nacional Mayor de San Marcos
B.Sc. in Biological Sciences, 2009-2013
Universidad Nacional Mayor de San Marcos
Experience
Postdoctoral Fellow
University of Washington
Research in state-space stock assessment models (Woods Hole Assessment Model - WHAM).
Researcher
Cousteau Consultant Group
Research in fisheries and marine ecology. Instructor in ecology and statistics courses.
Graduate Teaching Assistant
Oregon State University
Statistical modelling applied to fisheries and marine ecology.
Graduate Research Assistant
Oregon State University
Research, population dynamic and ecology of the Pacific cod in the eastern Bering Sea.
Researcher
Marine Institute of Peru
Stock assessment and spatial ecology of small pelagic fish, community ecology of pelagic communities.
Projects
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.
Presentations
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 …
Accounting for temporal variability in somatic growth improves state-space assessment model for walleye pollock in the Gulf of Alaska
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 …
Publications
Visit my ResearchGate or Google Scholar to see my publications.
Contact
- gmoron@azti.es
- +34671750079
- Txatxarramendi ugartea z/g, Sukarrieta, Bizkaia 48395
- AZTI
- Monday - Friday 8:30 to 16:30
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