Field | Value |
---|---|
Fishery | Example Data |
Location | Example Location |
Species | Octopus cyanea |
Common_Name | Day octopus |
Author | A. Hordyk (adrian@bluematterscience.com |
Date | June 2023 |
Figure 1. a) The mean weight-at-age, with 10th and 90th percentiles., b) The natural mortality-at-age schedule. c) The maturity-at-age schedule. d)The post-spawning mortality-at-age schedule.
Age | Mean_Weight | 10th | 90th | Maturity | M.x | M.y |
---|---|---|---|---|---|---|
0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.15 | 0.15 |
1 | 0.01 | 0.00 | 0.02 | 0.00 | 0.15 | 0.15 |
2 | 0.05 | 0.02 | 0.08 | 0.00 | 0.15 | 0.15 |
3 | 0.12 | 0.06 | 0.20 | 0.00 | 0.15 | 0.15 |
4 | 0.23 | 0.11 | 0.38 | 0.00 | 0.15 | 0.15 |
5 | 0.40 | 0.19 | 0.66 | 0.00 | 0.15 | 0.15 |
6 | 0.60 | 0.29 | 0.99 | 0.00 | 0.15 | 0.15 |
7 | 0.86 | 0.41 | 1.42 | 0.00 | 0.15 | 0.15 |
8 | 1.17 | 0.56 | 1.93 | 0.00 | 0.15 | 0.15 |
9 | 1.54 | 0.74 | 2.54 | 0.00 | 0.15 | 0.15 |
10 | 1.96 | 0.94 | 3.23 | 0.00 | 0.15 | 0.15 |
11 | 2.44 | 1.18 | 4.02 | 0.05 | 0.15 | 0.15 |
12 | 2.99 | 1.44 | 4.93 | 0.95 | 0.15 | 0.15 |
13 | 3.60 | 1.73 | 5.94 | 1.00 | 0.15 | 0.15 |
14 | 4.27 | 2.06 | 7.04 | 1.00 | 0.15 | 0.15 |
Figure 2. The catch-at-weight data with the model fit shown as a blue line. Each plot is standardised to sum to 1 across the weight classes. The sample size is shown in the top left corner.
Figure 3. a) The indices of vulnerable biomass, b) effort, and c) catch, with 10 and 90th percentiles. The blue dashed line indicates the model fit. Empty plots mean no data was provided.
Parameter | Value | Description |
---|---|---|
h | 0.85 | Assumed steepness of stock-recruit curve |
sigmaR | 0.40 | Standard deviation of log-normal recruitment deviations |
use_F_pen | 1.00 | Use the penalty for random walk in F? |
sigmaF_m | 0.40 | Standard deviation for random walk penalty for F |
use_R0_pen | 1.00 | Use the penalty for random walk in seasonal recruitment? |
sigmaR0 | 0.30 | Standard deviation for random walk penalty for seasonal recruitment |
Figure 4. The estimated seasonal recruitment pattern.
Figure 5. The estimated selectivity pattern.
Figure 6. The estimated spawning potential ratio.
Figure 7. The estimated fishing mortality.
Figure 8. The mean monthly F and SPR (red lines) and the optimal values calculated from the HARA utility model with two values for the exponent (rows). Lower values of the HARA exponent mean higher utility for lower variance in catches throughout the year. Higher values of the HARA exponent mean greater utilty on the overall annual catch.