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“FORGOTTEN SIGNALS IN FISHERIES MANAGEMENT”�

By, Deepak George Pazhayamadom

Department of Zoology, Ecology and Plant Science (ZEPS)

University College Cork (UCC), Cork, Ireland

Emer Rogan

(Department of ZEPS, University College Cork)

Ciaran Kelly

(Fisheries Science Services, Marine Institute)

Edward Codling

(Lecturer in Mathematical Biology, University of Essex)

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Fisheries Management

(Traditional approach)

DATA

Fisheries Management

(Alternative approach)

SSB, F

[Estimated Indicators]

(Stock abundance and Exploitation)

MODELS (Assumptions)

Monitor with Reference Limits

(Acceptable, Precautionary, Limit)

Regulate with output controls

HCR (Eg: TAC)

Other measures (Eg: Effort)

Next Year

Limit 1000 1.5

Precautionary 1500 0.8

Acceptable 2000 0.5

F

SSB

Statistical Process Control�[Signal Detection Method]

Statistical Signals

[Stock Indicators]

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Indicator Correlation

Spawning Stock Biomass

80202

76328

79513

81415

75314

59943

50442

51140

54575

57047

57825

64478

62176

68199

70223

62100

60945

63634

59247

59088

54698

58995

74582

Year

1984

1985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

Catch Numbers Age 8

7749

8542

6419

4637

6490

8806

5453

3406

3601

2758

1916

2317

3397

3214

3979

4003

3616

4883

2328

2537

1949

3220

1306

Correlation = Degree of relationship

0.7 = Good

0.8 = Better

0.9 = Very good

INDICATORS (Examples)

Catch numbers from age group 1

Catch numbers from age group 2

Catch weights from age group 5

Catch weights from age group 4

Proportion of catch numbers

Proportion of catch weights

CN6 [BAD INDICATOR]

r= 0.09310228

PATTERNS DONT MATCH

CN11 [GOOD INDICATOR]

r= 0.90395651

PATTERNS MATCH

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Y1

Y2

Y3

Y4

Y5

Y6

Y7

Y8

Y9

Y10

Y11

Y12

Y13

Y14

20

17

15

13

10

Acceptable Range (20-10)

Desired Value 15

19

16

18

13

18

15

20

15

12

14

11

10

8

15

5

10

15

20

AVERAGE LENGTH OF FISH FROM CATCH

(Traffic light monitoring)

1

2

3

4

5

6

7

8

9

10

11

12

13

14

GREEN ZONE

PRECAUTION ZONE

PRECAUTION ZONE

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Y1

Y2

Y3

Y4

Y5

Y6

Y7

Y8

Y9

Y10

Y11

Y12

Y13

Y14

Corrective Action

5

10

15

20

1

STATISTICAL PROCESS CONTROL

(SPC)

1

2

3

4

5

6

7

8

9

10

11

12

13

14

This is called a Control Chart

GREEN ZONE

CUMULATIVE SUM CONTROL CHART

(CUSUM)

Limits are statistically defined

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-7

0

(15)

7

POSITIVE DEVIATIONS

NEGATIVE DEVIATIONS

CONSTRUCTION OF

CUSUM CONTROL CHART

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ESTIMATED INDICATOR

Spawning Stock Biomass

STOCK INDICATORS

(Age based catch numbers and weights)

TRADITIONAL APPROACH

ALTERNATIVE APPROACH

COMPARISON

FOR WHICH YEARS ?

1. Cod (IS)

2. Megrim (CS & BB)

Acceptable In Control

Precautionary

Limit Out Control

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68

69

70

71

72

73

74

75

76

77

78

79

80

81

82

83

84

85

86

87

88

89

90

91

92

93

94

95

96

97

98

99

00

01

02

03

04

05

06

GOOD

BAD

Irish Sea Cod (Gadus morhua)

Reference Limits

Bpa

Blim

= 10,000t

= 5000t

CN4

= Catch number from age group 4

CW4

= Catch weight from age group 4

CWABOVE

= Catch weight above age group 4

CNABOVE

= Catch numbers above age group 4

I – 1970

II – 1978

III – 1990

OC 1995

Traditional Approach - Spawning Stock Biomass

CN4

CW4

CWABOVE

CNABOVE

MATCH COLOUR CODES

Traditional Approach - Fishing Mortality

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Irish Sea Cod

I – 1970

II – 1978

III – 1990

OC 1995

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84

85

86

87

88

89

90

91

92

93

94

95

96

97

98

99

00

01

02

03

04

05

06

GOOD

BAD

Celtic Sea and Bay of Biscay Megrim

(Lepidorhombus whiffiagonis, L. boscii)

I – 1990

II – 2004

Traditional Approach - Spawning Stock Biomass

CN8

CNPP6

CNPP7

CNPP8

Reference Limits

Bpa

Blim

= 55,000t

= Not defined

CN8

= Catch number from age group 8

CNPP6

= Proportions of catch numbers from

age group 6 onwards

CNPP7

= Proportions of catch numbers from

age group 7 onwards

CNPP8

= Proportions of catch numbers from

age group 8 onwards

Traditional Approach - Fishing Mortality

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Celtic Sea and Bay of Biscay Megrim

I – 1990

II – 2004

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Pros and Cons

  • Performance of CUSUM was found to be consistent with traditional traffic light approach
  • CUSUM charts as real time monitoring technique for qualitative stock assessments

  • Efficient to detect persistent changes in the system

  • A handy monitoring tool for data limited fisheries

  • Stabilize the catch - Objective
  • Delayed signals occur for quick changes in the system

  • Delayed signals might happen when recruitment to the fishery occurs before maturity

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