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Elmer Quispe-Salazar

Elmer Quispe-Salazar

Marine quantitative ecologist · Fisheries scientist

I study changing marine populations and fisheries using statistical modelling, stock assessment, spatio-temporal analysis, and reproducible scientific computing.

Peru · Humboldt Current

Pelagic fisheries · Statistical ecology

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ORCID and OpenAlex · updated 07 Sep 2026. Google Scholar is linked for discovery and is not scraped.

Reproducible marine data systems

Building reproducible systems for acquiring, harmonizing, documenting, analysing, and updating fisheries and oceanographic data.

Status: Active · Type: Methods and software programme

Scientific question

How can complex fisheries, biological, acoustic, and oceanographic data be transformed into reproducible analytical systems that remain traceable, updateable, and suitable for scientific assessment?

Scope

The programme covers data acquisition, quality control, harmonization, metadata, provenance, version control, analytical pipelines, automated outputs, and computational environments for marine research.

Data and tools

Applications include satellite and reanalysis products, fisheries-dependent observations, acoustic-survey information, biological sampling, environmental time series, and multidimensional spatial data.

Methods

• Programmatic data acquisition and validation.
• Standardized data schemas and variable dictionaries.
• Reproducible pipelines in R, Python, Julia, Git, and GitHub.
• Dependency and environment management.
• Automated figures, tables, reports, and quality-control summaries.
• Documentation, testing, and provenance tracking.

Current status

Active software and workflow-development programme supporting fisheries, anchovy, tuna, environmental, and ecosystem-indicator projects.

Related public repositories

• oceancube — multidimensional marine environmental data acquisition, harmonization, subsetting, validation, and organization.
• seasignals — representation of climate phase, magnitude, persistence, and transitions for marine ecological analyses.

These repositories remain the canonical sources for their respective software. Their detailed website records will be migrated during the Software phase.

Expected outputs

• Reusable data-processing workflows.
• Scientific packages and analytical utilities.
• Documented environmental and fisheries data products.
• Training material on reproducible quantitative marine science.