Size Composition Data Approach in Stock Assessment

generalized approach to size composition data n.w
1 / 16
Embed
Share

Explore a comprehensive approach to analyzing size composition data in stock assessment, including growth patterns, population distribution, expected catch calculation, sampling processes, and discard analysis.

  • Size Composition
  • Stock Assessment
  • Growth Patterns
  • Sampling
  • Discard Analysis

Uploaded on | 0 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.

E N D

Presentation Transcript


  1. Generalized Approach to Size Composition Data in SS

  2. Possible Size Data Size by fine, even categories: mm Size by cruder categories, inches Mean body weight = bin weight / N fish Catch weight sold by processor category A model can calculate the expected value for any of these from an estimate of the size composition of the catch

  3. Growth 250 Carapace Length (mm) 200 150 100 Female with +/- 2sd 50 Male 0 0 5 10 15 20 Age (months) Start point is the growth curve

  4. Size Distribution at - Age POPULATION Step 2 is the population size-at- age matrix, ALK Step 3 uses population numbers-at-age to scale the ALK to get population numbers at age and length at time t 22 20 17 15 13 AGE 11 9 7 5 3 101 60 52 46 40 34 SIZE 28 22 16

  5. Create the Expected Catch Step 5: apply selectivity at age and length and catchability to get the expected sample as a matrix of age x length This matrix has a particular length bin structure as defined in the input files and is the foundation on which transformations create expected values for the available data

  6. Sampling & Observation Processes 1.0 0.8 SELECTIVITY 0.6 CATCH AT TRUE AGE 0.4 0.2 23 0.0 21 25 30 35 40 45 19 SIZE 17 15 13 AGE 11 9 7 5 3 101 60 52 46 40 34 SIZE 28 22 16

  7. Discard and Retained Catch 0.09 Optionally, a retention function partitions the total catch into discarded and retained portions Each can then be compared to corresponding data 0.08 obs exp Retained 0.07 0.06 Est & Obs 0.05 0.04 0.03 0.30 0.02 obs exp 0.01 0.25 0.00 Discard 0.20 20 40 60 80 Est & Obs 0.15 0.10 0.05 0.00 20 40 60 80

  8. Size Composition Options In earlier SS versions, the size composition data needed to represent proportions at length in these same length bins Now, the length bin structure can differ from the population length bin structure But it cannot be finer And, a generalized size structure approach adds ability to define multiple size structure methods

  9. Generalized Size Composition For each size composition (here labeled WtFreq) method, enter the following: 2 25 4 2 1 3 2 0.00001 -1 40 5 # N WtFreq methods nbins per method units per each method (1=biomass; 2=numbers) scale per each method ((1=kg; 2=lbs; 3=cm; 4=inches) mincomp to add to each obs (entry for each method) N observations per wtFreq method

  10. Example: Gulf of Mexico Pink Shrimp Catch weight categories for shrimp Early analyses used growth curve to slice these data into monthly age composition for use in a VPA With SS the process is reversed: estimated population age comp and selectivity produce estimate of catch size composition which is accumulated into the data categories

  11. Shrimp Catch Size Categories Size Bin 1 2 3 4 5 6 7 8 Shrimp/lb Lower edge of bin in lbs. >67 1E-06 1E-06 51-67 1/67 0.015 41-50 1/50 0.020 31-40 1/40 0.025 26-30 1/30 0.033 21-25 1/25 0.040 15-20 1/20 0.050 <15 1/14 0.071 Bins defined in terms of heads-off shrimp count per pound Data are pounds landed in each category Nearly 500 months of data available since 1960

  12. From Age to Weight Bins 0.18 25 Normal Dist. Shown for age 20 0.16 20 0.14 Mean Size- at-Age >67 shrimp tails per lb. 0.12 Body weight (tails - lbs) 51-67 15 Age at Size 41-50 0.10 31-40 26-30 0.08 21-25 10 Body Weight- at-Length 15-20 0.06 <15 Female age-at-size 0.04 5 Size at age 20 Apportion body weight at each 5 mm size bin into 1 of 8 weight categories 0.02 0.00 0 0 50 100 150 200 250 Carapace Length (mm)

  13. Population N-at-Length and Selectivity 100 Population Numbers 1.0 Total Female Selectivity 80 0.8 Selectivity 60 0.6 40 0.4 20 0.2 0 0.0 110 125 140 155 170 185 200 215 5 20 35 50 65 80 95 Carapace Length (mm) Dimorphic growth Selection at age 3 months for females and 4 months for males, but all data are combined gender

  14. Catch Numbers-at-Length 50 40 Catch Numbers 30 Total Female 20 10 0 110 125 140 155 170 185 200 215 5 20 35 50 65 80 95 Carapace Length (mm)

  15. Catch Weight by Category 300 >67 shrimp tails per lb. 51-67 250 41-50 31-40 26-30 200 Catch weight (tails - lbs) 21-25 15-20 <15 150 100 50 0 5 15 25 35 45 55 65 75 85 95 105 115 125 135 145 155 165 175 185 195 205 215 Body Size (mm)

  16. Compare to Observation 0.35 0.30 fraction of catch (by weight) 0.25 Obs Exp 0.20 0.15 0.10 0.05 0.00 >67 51-67 41-50 31-40 26-30 21-25 15-20 <15 Shrimp tails per pound

Related


More Related Content