ICES Marine Data
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: 2019
Key: 10367
   
   
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 SSBMP  
FMP  
MSY approach MSYBtrigger 9900  
FMSY 0.6  
Precautionary approach Blim 6300  
Bpa 9900  
Flim 1  
Fpa 0.68  
       
Age and Length      
       
Recruitment 0  
F 1-3  
       
       
 
Fish data
YearLow RecruitmentRecruitmentHigh RecruitmentLow SSBSSBHigh SSBLandingsCatchesDiscardsLow FFHigh F
19886652587.61171493892915011984768.08965279794.3781513924.218054.021851217712177 0.2518215528493470.5845003333333330.908178447150653
19899588222.360998051289980017355129.42595956061.68849305.7612549.83161124911249 0.3371730533282280.7146776666666671.08282694667177
19909831394.368138341351060018566675.84728014563.07267573.6210584.16741023910239 0.1566788447178040.5372250.923321155282196
19916707835.55713245973654014132757.18585546987.4834511158.215328.916551159511595 0.0347771011599370.4176350.805222898840063
199213294539.46003671787990024046776.87188719953.3121515943.321933.287851308113081 0.01397625123238420.412230.806023748767616
19936556631.99206953924582013037972.47974239751.020116509.723268.37991275312753 -0.01278176533705590.3845370.772781765337056
19947951367.238563441105820015378963.588417211821.5043518929.526037.495651154911549 -0.06987811703252290.2850260.649878117032523
199510484702.5293971415340019105809.725964814363.470722204.130044.72931336113361 -0.00171092392142480.3734246666666670.741710923921425
199611425629.73985041507170019881279.724803611479.0025518121.224763.397451414914149 0.05094239415794080.4239793333333330.789057605842059
19975475654.95033306782761011189799.004477611285.894517612.423938.90551507415074 0.08595893421520810.4182470.754041065784792
19987580377.945265081040250014275278.492887412940.0299519460.325980.570051550415504 0.09042930711051110.4486086666666670.809570692889489
19997245844.74115747994122013639245.473622110503.719716837.223170.68031125411254 0.009930672029269010.4026050.790069327970731
20006759937.27403791952554013422596.7806068795.551514354.519913.44851103811038 0.01142883317301490.4025803333333330.788571166826985
200112496517.17901361667890022261058.91945468888.066714450.720013.33331135011350 0.01503953712632590.4220546666666670.824960462873674
20027732390.084534251094280015486139.54170598305.226613912.919520.57341248412484 0.05422181970182530.4258090.805778180298175
200310773135.15345641432260019041520.210965110594.059351661822641.940651384513845 0.03440542409100910.3870033333333330.745594575908991
20047227029.66898043997014013754432.480920412297.3087519081.725866.091251595615956 0.1088840459936680.4708346666666670.831115954006332
200514045040.96604081842840024179774.72483910982.9876517446.923910.812351420714207 0.05584041626783920.4263270.804159583732161
20069118725.514705631194420015645159.338322910460.834516997.923534.96551426814268 0.06211841855160620.4277290.797881581448394
20078693467.759280271094340013775630.953730612160.823718732.525304.17631355513555 0.01041712974581440.3311126666666670.649582870254186
20083794807.0451310250754206788194.4641827315276.853522468.329659.746513014135545400.07719658606928460.3520573333333330.622803413930715
20093461898.586402245943806097326.9602149114243.658519939.825635.941511069115374670.082590938972280.3646833333333330.63740906102772
20103895451.9696055950524406553064.9980481111043.3726515248.719454.02735775483285730.08995488605979250.3889823333333330.690045113940208
20116588954.39096446822064010256395.47638587060.43469986.112911.7654816990438740.3339383044722020.6451050.966061695527798
20124713322.7494938361617708055338.356996124001.89516143.068284.22497827887810510.4203412655992190.7276383333333331.03965873440078
201312590581.3597841565200019457807.1495984230.53236198.388166.2277839693069090.3780208150909410.6900733333333331.00197918490906
20145706196.84320899767789010330872.99157184240.543156555.938871.3168599521234023880.4590954464388820.7553166666666671.06090455356112
20155234268.9512576269771309300313.661796816781.54059573.2712364.9995111611216610050.2410966399642660.5135226666666670.778903360035734
20165802563.0521731175949309940945.266126348593.076312286.215979.323712397126802840.3626538373847280.6529503333333330.937346162615272
20173627605.1203088552703607657033.665018945834.269658732.4811630.6903510586110044190.3610196542191630.7168953333333331.07898034578084
20187204433.486979841149160018329945.13706864395.10847185.169975.2116873089712410.1784344184388740.6610761.14156558156113
2019 7339340 2964.106556376.849789.57345      
 
 
 
 
Custom reference points
CustomRefPointNameCustomRefPointValueCustomRefPointNotes
custom1  
custom2  
custom3  
custom4  
custom5  
 
Custom fish data column names
 
Custom fish data
 
 
 
 
Sensivity data