Elmer Quispe-Salazar

Elmer Quispe-Salazar

Marine quantitative ecologist.
Fisheries science and stock assessment.
Spatio-temporal modelling.
Scientific computing in C++, R, Python and Julia.

Classification models based on the gonadosomatic index to determine gonadal maturity stages: a case study in the Peruvian anchovy (Engraulis ringens)

Published in Scientia Marina, 2025

Overview

This paper develops classification models to infer gonadal maturity stages from the gonadosomatic index (GSI) in Peruvian anchovy (Engraulis ringens). The study addresses the need to harmonize historical reproductive observations with the maturity scale currently used in biological monitoring.

Main contributions

  • Operational classification of maturity stages from historical monitoring information.
  • Evaluation of machine-learning classifiers for maturity-stage prediction.
  • Harmonization of long reproductive time series under a consistent maturity framework.
  • Support for reproducible assessment of reproductive indicators in fisheries monitoring.

Publication

See Multidimensional state of the north-central Peruvian anchovy stock and Multivariate indicators for fisheries and ecosystem assessment.

Recommended citation: Quispe-Salazar, E., Sánchez, J., & Perea, A. (2025). Classification models based on the gonadosomatic index to determine gonadal maturity stages: a case study in the Peruvian anchovy (Engraulis ringens). Scientia Marina, 89(4), e117. https://doi.org/10.3989/scimar.05636.117
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