Measure change.
Marine populations are dynamic. Indicators and models should preserve their temporal and spatial structure.
ELMER QUISPE-SALAZAR
Quantitative Marine Ecology
& Fisheries Science
Marine quantitative ecologist · Fisheries scientist · Scientific computing
Measure change. Model uncertainty. Inform fisheries decisions.
I connect ecological theory, marine observations, statistical modelling, and reproducible computing to understand changing populations and fisheries. My main study system is the Humboldt Current, with particular emphasis on pelagic fish and Peruvian anchovy.
EQS
Marine ecology · Fisheries
Humboldt Current · Pelagic fisheries · Reproducible science
RESEARCH
From marine observations to reproducible evidence
Connecting ecology, data, and decisions in dynamic marine systems.
Model uncertainty.
Evidence is more useful when uncertainty, alternative mechanisms, and model limitations are explicit.
Inform decisions.
Analytical complexity matters when it improves interpretation, reproducibility, and fisheries decisions.
Population dynamics & stock assessmentRecruitment, growth, selectivity, demographic structure, uncertainty, and management-oriented assessment.
Spatio-temporal marine ecologyHabitat, distribution shifts, accessibility, hotspots, fleet behaviour, and spatial models.
Environmental variability & ecosystem responsesOceanographic and climatic drivers, ecosystem regimes, and pressure–state relationships.
Statistical ecology & scientific computingHierarchical, additive, multivariate, machine-learning, and reproducible modelling workflows.
CURRENT RESEARCH
Manuscripts and analyses in development
Diagnosing stock-assessment misspecification with machine learning
Testing whether multivariate assessment diagnostics can identify the structural process responsible for model misspecification.
Explore project →Standardizing in-season benchmarking for a highly variable small-pelagic fishery
Comparing active seasons through season day, effective fishing day, quota progress, historical envelopes, and environmental adjustment.
Explore project →Long-term reorganization of Peruvian pelagic fisheries
Evaluating changes in composition, effort, efficiency, seasonality, spatial footprint, and their relationship with environmental variability.
Explore project →SCIENTIFIC ECOSYSTEM
Research, build, teach, and communicate
Repositories remain the source of truth. This website connects work in development with formal outputs, software, teaching, and reusable data sources.
01ResearchScientific questions and research programme
02ProjectsManuscripts and collaborative work in development
03PublicationsPeer-reviewed and formal scholarly outputs
04ConferencesPresentations, posters, and conference contributions
05SoftwareScientific packages, applications, and computational tools
06TeachingStructured classes, training, and reusable learning material
07BlogExtended explanations derived from teaching themes
08DataCurated external marine and fisheries data resources
“Better fisheries evidence begins with better questions, transparent models, and reproducible analysis.”