Skip to main content

Multidimensional state of the north-central Peruvian anchovy stock

anchovy
stock assessment
ecosystem variability
multivariate indicators
Integrating population magnitude, condition, reproduction, demographic structure, spatial distribution, and environmental and fishing pressures.
Published

July 15, 2026

Status: Active · Type: Research programme

Scientific question

How has the multidimensional state of the north-central Peruvian anchovy stock changed in response to natural variability and fishing pressure within the Humboldt Current System?

Study system

The programme focuses on the north-central stock of Peruvian anchovy (Engraulis ringens) and treats stock condition as a multidimensional ecological state rather than a single biomass signal.

Evidence base

The analytical framework integrates acoustic surveys, fishery-dependent observations, biological sampling, demographic information, spatial indicators, and environmental information from oceanographic and satellite sources.

Analytical framework

  • Dimension-specific indicators of population magnitude, condition, reproduction, demographic structure, spatial distribution, and size structure.
  • Multivariate integration and latent-state approaches.
  • Trend, breakpoint, regime, and threshold diagnostics.
  • Pressure–state relationships involving environmental and fishing variables.
  • Spatio-temporal analyses of abundance, distribution, and habitat conditions.
  • Sensitivity analysis to indicator composition and integration choices.

Current status

Active research programme supporting complementary manuscripts on multidimensional stock state, pressure–response relationships, structural changes, and adaptive fisheries assessment.

Expected outputs

  • Multidimensional stock-state framework.
  • Peer-reviewed manuscripts and conference contributions.
  • Reproducible analytical workflows.
  • Diagnostic indicators for monitoring and adaptive management.

Repository architecture

This is a programme-level page. Individual manuscripts and analytical components should link to dedicated canonical repositories as those repositories are finalized and audited; the website will not duplicate their source code or analysis files.