1 / 6

Reliable and robust indicators for control chart based fisheries management

Reliable and robust indicators for control chart based fisheries management. Deepak George Pazhayamadom 1 , Emer Rogan 1 , Ciaran Kelly 2 , Edward Codling 3. 1 Department of Zoology, Ecology and Plant Science, University College Cork, Ireland 2 Marine Institute, Galway, Ireland

akio
Download Presentation

Reliable and robust indicators for control chart based fisheries management

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Reliable and robust indicators for control chart based fisheries management Deepak George Pazhayamadom 1, Emer Rogan 1, Ciaran Kelly 2, Edward Codling3 1 Department of Zoology, Ecology and Plant Science, University College Cork, Ireland 2 Marine Institute, Galway, Ireland 3 University of Essex, UK PhD : “Application of signal detection methods to fisheries management system” Control chart : Cumulative Sum (CUSUM) Control Chart Indicators : Types of age based catch indicators

  2. Negative Proportions Indicators were calculated from catch data Type 1: Catch numbers (CN) Type 2: Catch weights (CW) Type 3: Positive proportions of CN Type 4: Negative proportions of CN Type 5: Positive proportions of CW Type 6: Negative proportions of CW Type 7: Positive proportions of average CW Type 8: Negative proportions of average CW An operating model that simulates fictional stocks (Iteration used: 1000) Phase 1 : Self-populate and stabilize Phase 2 : Low fishing mortality Phase 3 Scenario – 1 : No management with high fishing mortality Scenario – 2 : Managed using Total Allowable Catch (TAC) Positive Proportions Three fisheries (correlated with SSB) : Celtic Sea and Bay of Biscay Megrim North East Atlantic Mackerel Irish Sea Cod

  3. Boxplots: Indicator correlations with SSB (Scenario – 1 : No Management) Megrim (CS&BB) 1 2 3 4 5 6 7 8 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Type 1: Catch numbers (CN) Type 2: Catch weights (CW) Type 3: Positive proportions of CN Type 4: Negative proportions of CN Type 5: Positive proportions of CW Type 6: Negative proportions of CW Type 7: Positive proportions of average CW Type 8: Negative proportions of average CW Mackerel (NEA) Cod (IS)

  4. Boxplots: Indicator correlations with SSB (Scenario – 2 : TAC Management) Megrim (CS&BB) 1 1 1 2 2 2 3 3 3 4 4 4 5 5 5 6 6 6 7 7 7 8 8 8 Type 1: Catch numbers (CN) Type 2: Catch weights (CW) Type 3: Positive proportions of CN Type 4: Negative proportions of CN Type 5: Positive proportions of CW Type 6: Negative proportions of CW Type 7: Positive proportions of average CW Type 8: Negative proportions of average CW Mackerel (NEA) Cod (IS)

  5. Megrim (CS&BB) Mackerel (NEA) Cod (IS) High High Positive / High Positive Positive Type 1: Catch numbers (CN) Type 2: Catch weights (CW) Type 3: Positive proportions of CN Type 4: Negative proportions of CN Type 5: Positive proportions of CW Type 6: Negative proportions of CW Type 7: Positive proportions of average CW Type 8: Negative proportions of average CW • Scenario 1 : Types 1,2,3,5 • Scenario 2 : Type 3 and 5

  6. THANK YOU

More Related