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Preparation data base to krill length structure in 48.1 subarea CCAMLR to core analysis

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MauroMardones/Krill_Length_Cor

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Krill Length Correlation Analysis

Overview

This repository contains an analysis of the spatial and environmental variability in krill (Euphausia superba) length. The study evaluates different mixed-effects models incorporating spatial strata (ID) as a fixed effect and year (ANO) as a random effect. Environmental covariates such as chlorophyll-a (Chla), sea surface temperature (TSM), and sea ice cover are included to assess their influence on krill growth dynamics.

Analysis Goals

  • Investigate spatial variability in krill length (LENGTH) and the 75th percentile length (LENGTH_P75).
  • Test different statistical models to determine how environmental factors influence krill growth across different strata.
  • Identify the best-fitting model to support krill growth scenario testing within the LBSPR framework.

Results

The full results, including model comparisons, visualizations, and conclusions, are available in the HTML report:

View the Results

Reproducibility

This analysis was conducted in R, using the lme4 package for mixed-effects modeling and performance for model comparison. The R Markdown file (index.Rmd) compiles the entire workflow and generates the HTML report.

Repository Structure

├── data/               # Raw and processed data files (upon request)
├── scripts/            # R scripts for data processing and modeling  
├── index_files/        # figures and Outputs from the analysis  
├── index.Rmd           # R Markdown file for the report  
├── README.md           # Project description and instructions  

How to Cite

If you use or reference this analysis, please cite appropriately:
Mardones, M. (2025). Krill Length Analysis: Environmental and Spatial Influences.

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Preparation data base to krill length structure in 48.1 subarea CCAMLR to core analysis

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