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QUANTIFYING CAUSES OF
             DISCARD VARIABILITY
    An indispensable assistance to discard estimation
        and a paramount need for policy measures

                  Jochen Depestele1,2 (presenter), Sofie Vandemaele1,3,
          Willy Vanhee1, Hans Polet1, Els Torreele1, Herwig Leirs3, Magda Vincx2

                                      25 August 2010
                          Fishery Dependent Information Conference

               Institute for Agricultural and Fisheries Research
                                                                Animal Sciences Unit
1     2              3
                                                             www.ilvo.vlaanderen.be
                                                Agriculture and Fisheries Policy Area
Objective

Can we predict discards of commercial
 fish species, based on gear selectivity?
Introduction

• Why?
Introduction

• Why?
• Prediction of fish discards based
  on gear selectivity:
  – Target species       probably ok

  – By-catch species      probably
                          other
                          factors of
                          variability
Material and methods
BELGIAN DISCARDS OBSERVER PROGRAMME

• Beam trawl (80mm)
• Southern North Sea
• Landings (%)
         Sole   Plaice   Cod Whiting
  2006   21.3   22.7     6.3   1.5
  2007   24.3   19.0     6.2   0.8
  2008   23.1   20.5     8.6   1.6

                                       (c) ILVO
Material and methods
                  ANALYSIS I
                                               ������������������������
• Observed discard rate: ������������������������     =
                                        (������������������������ + ������������������������ )

• LFD       high-grading?

                                               ������������������������
          No               ������������������������   =
                                        (������������������������ + ������������������������ )
Material and methods
                  ANALYSIS I
                                             ������������������������
• Observed discard rate: ������������������������   =
                                      (������������������������ + ������������������������ )

• LFD       high-grading?

          No             Yes

                 Discard variability factors?
Material and methods
                    ANALYSIS II

Discard variability factors? (Rochet & Trenkel, 2005)
   – Resource availability
   – Fishing operation
   – Catch and discards
   – Market incentives                          ������������������������
   – Technical constraints          ������ =
                                         ������������������������ + ������������������������
   – Quota regulations
Results
DISCARD RATES & LFD (SOLE & PLAICE)
           Sole (Dobs = 0.13)                 Plaice (Dobs = 0.27)
            6000                                2500

            5000                                2000
 Numbers




            4000
                                                1500
            3000
                                                1000
            2000

            1000                                 500

              0                                   0
                   15
                   17
                   19
                   21
                   23
                   25
                   27
                   29
                   31
                   33
                   35
                   37
                   39
                   41
                   43
                   45




                                                       15
                                                       18
                                                       21
                                                       24
                                                       27
                                                       30
                                                       33
                                                       36
                                                       39
                                                       42
                                                       45
                                                       48
                                                       51
                                                       54
                                                       58
                                      Total length (cm)


                            DObs               DMLS            Difference

           Sole         0.13 (0.11)        0.11 (0.10)         0.02 (0.03)
       Plaice           0.27 (0.21)        0.25 (0.18)         0.03 (0.10)
Discussion
PREDICTION OF DISCARD RATES (SOLE & PLAICE)

  • Sole
    - “true” target (~50% landed value)
  • Plaice as a target?
    ~12% value            match landings and catch?
       Redirecting fishing effort on micro-scale
       Reduced fishing effort in springtime
       Misreporting (no formal figures)
       High-grading in NE-SE North Sea (Rijnsdorp et al. 2007)
               fishery-specific!
Results
DISCARD RATES & LFD (COD & WHITING)
           Cod (Dobs = 0.47)                  Whiting (Dobs = 0.61)
            300                                 1500
            250
                                                1200
            200
 Numbers




                                                 900
            150
            100                                  600

             50                                  300
              0
                                                  0
                  57
                  63
                  69
                  15
                  21
                  27
                  33
                  39
                  45
                  51




                  75
                  81
                  92




                                                       17




                                                       27
                                                       15

                                                       19
                                                       21
                                                       23
                                                       25

                                                       29
                                                       31
                                                       33
                                                       35
                                                       37
                                                       39
                                                       41
                                                       43
                                                       45
                                      Total length (cm)

                           DObs                DMLS           Difference

           Cod          0.47 (0.31)        0.36 (0.31)        0.12 (0.24)
   Whiting              0.61 (0.33)        0.46 (0.27)        0.15 (0.16)
Results & discussion
  DISCARD VARIABILITY FACTORS? (COD)

Discard variability factors? (GAMM)
  – Response:                                                   Adj R² = 0.28




                               Te(trip quotum, 1.49)
                ������������������������
    ������ =
         ������������������������ + ������������������������

  – Explained by
      Fish price
      Catch composition
      Quota                                           Trip quotum
Results & discussion
 PREDICTION OF DISCARD RATE? (COD)
  Quotum
                  DObs            DMLS         Difference
 (kg / day)
   <200       0.571 (0.268)   0.183 (0.200)   0.391 (0.285)
  >=200       0.374 (0.332)   0.376 (0.331)   0.038 (0.082)


• Non-limiting quotum: predictions are ok
• Limiting quotum: NOT ok!
      Resource availability
Results & discussion
DISCARD VARIABILITY FACTORS? (WHITING)

Discard variability factors? Non-significant
                      1

                     0,9

                     0,8
 Response variable




                     0,7

                     0,6

                     0,5

                     0,4

                     0,3
                           Correction factor?
                     0,2
                           -   Fishing behaviour
                     0,1
                           -   Resource availability, incl. catch composition
                      0
Conclusion

• Objective: Can we predict discards of
  commercial fish species, based on gear
  selectivity?
  – Yes, for target species
    Be fishery-specific!
  – Unlikely for by-catch species
    • High-value (e.g. cod): quota!
    • Low-value (e.g.whiting): correction factor?
• Indication of management implications
Thank you for your attention

                              Jochen Depestele1,2 (presenter), Sofie Vandemaele1,3,
                      Willy Vanhee1, Hans Polet1, Els Torreele1, Herwig Leirs3, Magda Vincx2
                                 Contact: Jochen.Depestele@ilvo.vlaanderen.be

    Financially supported by




                           Institute for Agricultural and Fisheries Research
                                                                           Animal Sciences Unit
1                 2              3
                                                                        www.ilvo.vlaanderen.be
                                                           Agriculture and Fisheries Policy Area

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2011 depestele fdi_ijms_quantifying-causes-of-discard-variability

  • 1. QUANTIFYING CAUSES OF DISCARD VARIABILITY An indispensable assistance to discard estimation and a paramount need for policy measures Jochen Depestele1,2 (presenter), Sofie Vandemaele1,3, Willy Vanhee1, Hans Polet1, Els Torreele1, Herwig Leirs3, Magda Vincx2 25 August 2010 Fishery Dependent Information Conference Institute for Agricultural and Fisheries Research Animal Sciences Unit 1 2 3 www.ilvo.vlaanderen.be Agriculture and Fisheries Policy Area
  • 2. Objective Can we predict discards of commercial fish species, based on gear selectivity?
  • 4. Introduction • Why? • Prediction of fish discards based on gear selectivity: – Target species probably ok – By-catch species probably other factors of variability
  • 5. Material and methods BELGIAN DISCARDS OBSERVER PROGRAMME • Beam trawl (80mm) • Southern North Sea • Landings (%) Sole Plaice Cod Whiting 2006 21.3 22.7 6.3 1.5 2007 24.3 19.0 6.2 0.8 2008 23.1 20.5 8.6 1.6 (c) ILVO
  • 6. Material and methods ANALYSIS I ������������������������ • Observed discard rate: ������������������������ = (������������������������ + ������������������������ ) • LFD high-grading? ������������������������ No ������������������������ = (������������������������ + ������������������������ )
  • 7. Material and methods ANALYSIS I ������������������������ • Observed discard rate: ������������������������ = (������������������������ + ������������������������ ) • LFD high-grading? No Yes Discard variability factors?
  • 8. Material and methods ANALYSIS II Discard variability factors? (Rochet & Trenkel, 2005) – Resource availability – Fishing operation – Catch and discards – Market incentives ������������������������ – Technical constraints ������ = ������������������������ + ������������������������ – Quota regulations
  • 9. Results DISCARD RATES & LFD (SOLE & PLAICE) Sole (Dobs = 0.13) Plaice (Dobs = 0.27) 6000 2500 5000 2000 Numbers 4000 1500 3000 1000 2000 1000 500 0 0 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 15 18 21 24 27 30 33 36 39 42 45 48 51 54 58 Total length (cm) DObs DMLS Difference Sole 0.13 (0.11) 0.11 (0.10) 0.02 (0.03) Plaice 0.27 (0.21) 0.25 (0.18) 0.03 (0.10)
  • 10. Discussion PREDICTION OF DISCARD RATES (SOLE & PLAICE) • Sole - “true” target (~50% landed value) • Plaice as a target? ~12% value match landings and catch?  Redirecting fishing effort on micro-scale  Reduced fishing effort in springtime  Misreporting (no formal figures)  High-grading in NE-SE North Sea (Rijnsdorp et al. 2007) fishery-specific!
  • 11. Results DISCARD RATES & LFD (COD & WHITING) Cod (Dobs = 0.47) Whiting (Dobs = 0.61) 300 1500 250 1200 200 Numbers 900 150 100 600 50 300 0 0 57 63 69 15 21 27 33 39 45 51 75 81 92 17 27 15 19 21 23 25 29 31 33 35 37 39 41 43 45 Total length (cm) DObs DMLS Difference Cod 0.47 (0.31) 0.36 (0.31) 0.12 (0.24) Whiting 0.61 (0.33) 0.46 (0.27) 0.15 (0.16)
  • 12. Results & discussion DISCARD VARIABILITY FACTORS? (COD) Discard variability factors? (GAMM) – Response: Adj R² = 0.28 Te(trip quotum, 1.49) ������������������������ ������ = ������������������������ + ������������������������ – Explained by  Fish price  Catch composition  Quota Trip quotum
  • 13. Results & discussion PREDICTION OF DISCARD RATE? (COD) Quotum DObs DMLS Difference (kg / day) <200 0.571 (0.268) 0.183 (0.200) 0.391 (0.285) >=200 0.374 (0.332) 0.376 (0.331) 0.038 (0.082) • Non-limiting quotum: predictions are ok • Limiting quotum: NOT ok! Resource availability
  • 14. Results & discussion DISCARD VARIABILITY FACTORS? (WHITING) Discard variability factors? Non-significant 1 0,9 0,8 Response variable 0,7 0,6 0,5 0,4 0,3 Correction factor? 0,2 - Fishing behaviour 0,1 - Resource availability, incl. catch composition 0
  • 15. Conclusion • Objective: Can we predict discards of commercial fish species, based on gear selectivity? – Yes, for target species Be fishery-specific! – Unlikely for by-catch species • High-value (e.g. cod): quota! • Low-value (e.g.whiting): correction factor? • Indication of management implications
  • 16. Thank you for your attention Jochen Depestele1,2 (presenter), Sofie Vandemaele1,3, Willy Vanhee1, Hans Polet1, Els Torreele1, Herwig Leirs3, Magda Vincx2 Contact: Jochen.Depestele@ilvo.vlaanderen.be Financially supported by Institute for Agricultural and Fisheries Research Animal Sciences Unit 1 2 3 www.ilvo.vlaanderen.be Agriculture and Fisheries Policy Area