A visualization framework for fisheries exploitation status with life-history-specific threshold calibration
Kafkas M. Caprazli
📧 caprazli@gmail.com
🆔 ORCID: 0000-0002-5744-8944
The Caprazli Fisheries Mortality Index (FMI) plots fishing mortality (F) against natural mortality (M) on log-log axes. Unlike the traditional Exploitation Rate (E = F/Z), which compresses information into a single dimension, FMI preserves two independent dimensions:
- Status — Position relative to the F=M isocline (Gulland threshold)
- Magnitude — Distance from origin representing biological turnover
The F=M line is mathematically equivalent to E=0.5:
F = M → E = F/(F+M) = 0.5
This anchors FMI to the Gulland (1971) heuristic while providing superior visual discrimination across life histories.
Validated on 209 stocks (10,565 stock-years) from the RAM Legacy Database.
| Approach | Sensitivity | Specificity | PPV | AUC |
|---|---|---|---|---|
| Universal (threshold 1.25) | 89% | 39% | 54% | 0.72 |
| Stratified | 76% | 69% | 66% | 0.71–0.85 |
| Life History | M Range | Optimal Threshold | AUC |
|---|---|---|---|
| Long-lived | < 0.2 | 4.91 | 0.79 |
| Medium | 0.2–0.4 | 2.15 | 0.79 |
| Moderate turnover | 0.4–0.8 | 2.45 | 0.85 |
| Fast turnover | ≥ 0.8 | 0.45 | 0.71 |
Key finding: Stratification improves specificity from 39% to 69% (+30 percentage points).
install.packages(c("dplyr", "tidyr", "ggplot2", "purrr", "pROC", "cli"))& "C:\Program Files\R\R-4.5.1\bin\x64\Rscript.exe" R\sliding_window_validation.R
& "C:\Program Files\R\R-4.5.1\bin\x64\Rscript.exe" R\stratified_roc_analysis.RcaprazliFMI/
├── R/
│ ├── RAM_validation_candidates.R # Extract F+M stocks
│ ├── sliding_window_validation.R # Main validation
│ ├── stratified_roc_analysis.R # Life-history ROC
│ └── investigate_false_negatives.R # Diagnostic analysis
├── output/
│ ├── sliding_window/ # Validation results
│ └── stratified_roc/ # Stratified analysis
├── docs/
│ ├── VALIDATION_sliding_window.md # Results documentation
│ ├── FUTURE_dynamic_FMI.md # Paper 2 roadmap
│ └── FUTURE_life_history_thresholds.md
├── data/ # RAM Legacy (not in git)
├── CLAUDE.md # Project intelligence
└── README.md
RAM Legacy Stock Assessment Database v4.65
DOI: 10.5281/zenodo.7708834
Ricard, D., Minto, C., Jensen, O.P., and Baum, J.K. (2012). Examining the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database. Fish and Fisheries 13(4): 380-398.
@software{caprazli_fmi_2025,
author = {Caprazli, Kafkas M.},
title = {Caprazli Fisheries Mortality Index (FMI)},
year = {2025},
publisher = {Zenodo},
doi = {10.5281/zenodo.17844169},
url = {https://github.com/capraCoder/caprazliFMI}
}MIT License — see LICENSE for details.
Kafkas M. Caprazli
📧 caprazli@gmail.com
🆔 ORCID: 0000-0002-5744-8944