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Stock Assessment Graphs
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Northern shrimp (Pandalus borealis) in divisions 3.a and 4.a East (Skagerrak, Kattegat, northern North Sea in the Norwegian Deep)
Species:
Stock Assessment Graphs
Stock code:
pra.27.3a4a
Assessment Year:
2020
Key:
13308
Unit weights
tonnes
Unit recruitment
thousands
Fishing pressure description
F
Fishing pressure units
Year-1
Stock size description
SSB
Stock size units
tonnes
Fish reference points
Management plan
SSB
MP
F
MP
MSY approach
MSYB
trigger
9900
F
MSY
0.6
Precautionary approach
B
lim
6300
B
pa
9900
F
lim
1
F
pa
0.68
Age and Length
Recruitment
0
F
1-3
Fish data
Year
Low Recruitment
Recruitment
High Recruitment
Low SSB
SSB
High SSB
Landings
Catches
Discards
Low F
F
High F
1988
6806287.45235135
9097410
12159766.8754804
9570.9951
13574.3
17577.6049
12177
12177
0.461579247097207
0.601499
0.783833002190425
1989
9535041.36677665
12770000
17102484.795525
5890.6138
9015.39
12140.1662
11249
11249
0.536828156418349
0.723487666666667
0.975050204726718
1990
9847062.31420172
13455800
18387062.8480609
4636.4673
7569.93
10503.3927
10239
10239
0.394407782166475
0.535428
0.726869894932738
1991
6714885.35226768
9709600
14039901.9810758
7114.02855
11224.9
15335.77145
11595
11595
0.30831361140958
0.419024666666667
0.569490495318611
1992
13085457.7802751
17503400
23412937.9884454
10077.38975
15911.3
21745.21025
13081
13081
0.302080833047177
0.414202
0.567938372896391
1993
6415333.63840809
9028310
12705556.1020403
9890.41395
16444.9
22999.38605
12753
12753
0.284244044014626
0.388415666666667
0.530764789232834
1994
7946105.40790159
11000700
15229523.6820874
11840.51035
18713.6
25586.68965
11549
11549
0.218442513139283
0.291245333333333
0.388311977231094
1995
10611671.703031
14302700
19277568.418515
14160.36745
21655.3
29150.23255
13361
13361
0.284942455852941
0.383777666666667
0.516894883183449
1996
11541787.5476106
15232600
20103653.9446644
11256.3328
17598.4
23940.4672
14149
14149
0.321008513855391
0.432027
0.581440431243769
1997
5506423.6545334
7864920
11233601.0607309
11252.6256
17376.5
23500.3744
15074
15074
0.319491162728342
0.419019
0.549551733643069
1998
7579923.03992745
10393500
14251443.1453956
13070.9212
19551.3
26031.6788
15504
15504
0.332328139868939
0.444858
0.595491673506931
1999
7321474.57395735
10040300
13768759.7043053
10677.85225
17050.5
23423.14775
11254
11254
0.290347327155803
0.398243666666667
0.546235502126754
2000
6847845.85097932
9633260
13551662.8509283
8952.07665
14547.1
20142.12335
11038
11038
0.290568383367207
0.39852
0.546577671526267
2001
12425356.5893806
16578800
22120621.4455775
9059.1463
14650.6
20242.0537
11350
11350
0.299612864452355
0.415798666666667
0.577039745999528
2002
7727394.73169928
10954800
15530155.6613519
8535.11215
14196.1
19857.08785
12484
12484
0.309976807315149
0.420188333333333
0.569585308651626
2003
10898303.7678395
14517200
19337788.7357033
10796.3392
16868.1
22939.8608
13845
13845
0.287809537931446
0.384872333333333
0.514669228928498
2004
7359901.25078048
10154100
14009120.9510543
12414.30195
19208.3
26002.29805
15956
15956
0.347496332585817
0.467083333333333
0.627824871285223
2005
14342960.7231731
18859100
24797226.9934039
11135.868
17685.6
24235.332
14207
14207
0.308850417593307
0.418746666666667
0.567746588173123
2006
9082832.51438472
11921500
15647339.3101675
10754.8046
17421.2
24087.5954
14268
14268
0.308055710745793
0.415616
0.56073188527429
2007
8641719.39366186
10889500
13721946.3914752
12676.98335
19439.2
26201.41665
13555
13555
0.247227513292894
0.32088
0.416474578531303
2008
3774441.03846258
5051840
6761554.12828898
15862.9875
23269.6
30676.2125
13014
13554
540
0.275279628803231
0.343903333333333
0.429634053169682
2009
3449929.99340324
4577720
6074187.13958542
14621.70075
20436.2
26250.69925
11069
11537
467
0.286170921366336
0.358968
0.450283433441671
2010
3890751.31662217
5045210
6542218.16628427
11257.087
15500.2
19743.313
7754
8328
573
0.301016997283813
0.384330666666667
0.490703391081854
2011
6607905.25788417
8240710
10276978.6572037
7175.1248
10112.7
13050.2752
8169
9043
874
0.494626330308125
0.639629666666667
0.827141794544679
2012
4738125.40818047
6196570
8103939.10186631
4065.59195
6210.82
8356.04805
7827
8878
1051
0.56157228449035
0.722458333333333
0.92943697154938
2013
12681416.4399926
15785600
19649632.0848009
4297.97215
6274.16
8250.34785
8396
9306
909
0.530181730133125
0.683466
0.881067276759439
2014
5715698.81891781
7713240
10408888.4286006
4331.6952
6658.12
8984.5448
9952
12340
2388
0.582046285107935
0.744566666666667
0.952466385054423
2015
5439451.4603888
7219970
9583313.16687108
6936.56545
9788.65
12640.73455
11161
12166
1005
0.404144987647097
0.504497
0.629767115239461
2016
6396196.35230419
8099140
10255480.7774107
8800.48945
12571.8
16343.11055
12397
12680
284
0.503776126708039
0.634373
0.798825275343438
2017
4032790.14810863
5467730
7413247.4676177
6163.46705
9110.83
12058.19295
10586
11004
419
0.520264057228947
0.671026666666667
0.865477407330542
2018
6531288.44683653
9102400
12685657.1156539
5266.32605
7904.1
10541.87395
8730
8971
241
0.441009279007121
0.591732
0.793966876643306
2019
3339139.94920963
5709390
9762134.76162196
4476.1977
7331.49
10186.7823
7577
7944
368
0.369492020355836
0.527930333333333
0.754307052653086
2020
7442211.64275358
4737.4441
8319.3
11901.1559
Custom reference points
CustomRefPointName
CustomRefPointValue
CustomRefPointNotes
custom1
custom2
custom3
custom4
custom5
Custom fish data column names
Custom fish data
Sensivity data