Quantitative Marine Ecology for Fisheries and Ecosystems

Marine quantitative ecologist and fisheries scientist working across observations, data, models, and decision-relevant evidence.

I study how marine populations and fisheries respond to environmental variability, fishing pressure, and ecosystem change. My work integrates ecological theory, biological and fisheries observations, oceanographic information, statistical modelling, and reproducible scientific computing.

My main study system is the Humboldt Current System, with particular emphasis on the north-central stock of Peruvian anchovy (Engraulis ringens). I also work on pelagic fisheries, fleet dynamics, multivariate stock indicators, and spatio-temporal analysis.

Current work

Active · Manuscript development

Multidimensional assessment of the north-central Peruvian anchovy stock

Integrating population magnitude, condition, reproduction, demographic structure, spatial distribution, and pressure–state relationships.

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Active · Analysis and manuscript preparation

Selectivity and demographic change in the anchovy fishery

Evaluating long-term and seasonal changes in length selectivity, selection range, juvenile incidence, and demographic structure.

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Active · Data standardization and modelling

Peruvian tuna purse-seine fishery

Characterizing catch, effort, fishing modes, species composition, standardized CPUE, and environmental associations.

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Research themes

Fisheries population dynamics

Stock assessment, growth, recruitment, selectivity, demographic structure, indicators, uncertainty, and adaptive management.

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Spatio-temporal marine ecology

Distribution shifts, habitat, accessibility, hotspots, fishing-fleet behaviour, and spatially explicit population and fishery models.

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Environmental variability

Responses of marine populations to climate, oceanographic variability, productivity, oxygen, upwelling, and ecosystem regimes.

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Statistical ecology and computing

Hierarchical, additive, mixed, Bayesian, multivariate, and machine-learning methods implemented through reproducible workflows.

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Selected publication

Peer-reviewed article · Scientia Marina

Classification models based on the gonadosomatic index to determine gonadal maturity stages

Machine-learning classification of reproductive maturity stages in Peruvian anchovy and harmonization of historical biological records.

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Selected conferences and presentations

Oral presentation · SPF-2026

Multivariate Health Index of the anchovy

A multidimensional framework for understanding stock condition under strong environmental variability.

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Poster presentation · SPF-2026

Critical points of natural and anthropogenic pressures and stock-state responses

A threshold-oriented diagnostic framework for pressure–state relationships in the north-central Peruvian anchovy stock.

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Software and data systems

R package · Development

seasignals

Representing climate phase, magnitude, persistence, and transitions for marine ecological analyses.

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Data framework · Development

oceancube

Acquiring, harmonizing, subsetting, validating, and organizing multidimensional marine environmental data.

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Analytics platform · Concept development

Pelagytics

Connecting fisheries, biological, environmental, and spatial information through reproducible indicators and decision-support products.

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Collaboration

I am open to academic and technical collaboration in quantitative marine ecology, fisheries science, stock assessment, spatio-temporal modelling, statistical ecology, scientific software, and reproducible data systems.

Contact me · Collaboration & Consulting · GitHub