ICES Marine Data
Stock Assessment Graphs
 
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Herring (Clupea harengus) in subdivisions 20-24, spring spawners (Skagerrak, Kattegat, and western Baltic)
Species: Stock Assessment Graphs
Stock code: her.27.20-24
Assessment Year: 2019
Key: 12592
   
   
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 150000  
FMSY 0.31  
Precautionary approach Blim 120000  
Bpa 150000  
Flim 0.45  
Fpa 0.35  
       
Age and Length      
       
Recruitment 0  
F 3-6  
       
       
 
Fish data
YearLow RecruitmentRecruitmentHigh RecruitmentLow TBiomassTBiomassHigh TBiomassLow SSBSSBHigh SSBLandingsCatchesLow FFHigh F
19913840771499462064951105010325933767027392431372977433646141915731915730.390.490.617
19922823683354222844436214333035063855917952435762923633509211944081944080.4380.5230.624
19932344313300421538498743748554384325127932300372747893282471850101850100.4770.560.656
19943472205445635057194373145143659594258201863912215152632591724391724390.5070.5920.692
19953270593413220152207932676813108823610561601501908742274911508201508200.5260.6140.717
19963325467418667252709072377832743983166521109881311221549081212601212600.5340.6260.733
19972685029347471144966432420932802063243201252191480641750781155851155850.5260.6140.718
19983659476462304658403332310212665553075541024961208781425561070331070330.5170.6020.702
199939352344896152609170923668727203431266110321412171114352397234972340.4930.5760.674
20002324862292127436706892232692564102944701043501226771442241099131099130.4980.580.676
20012298761282264934659302419212776963187631169821368181600171058061058060.4860.5680.664
20022183779269443633245052562792944393382821410561649491928901061951061950.4530.5330.625
200323492072894969356752019437322293225568611035612913815111878310783100.4280.5060.6
200415850861976097246356519351222174925410611117512994015187376813768130.4250.4990.588
200514262971747738214162218182420859723931110238211935213913588404884040.4370.5090.593
200610985531352125166422819488822378125695911319313211115419190548905480.4470.520.605
20071180408144672617731301489651713711971468958010483912269768179681790.4560.5310.619
200896719611899591464028133355152469174324744028664610090569489694890.4490.5310.628
20099335721155814143096312382714130816125869388808339416667259672590.4270.5050.597
201012726941593242199452611062712660614489365286759738840842214422140.3680.4370.519
201111465181403676171851410036211501813181659508692998070027771277710.3010.3680.45
20129169881152037144733510825512424214259060753708218255838646386460.3020.3610.432
201312984271743986234243912142214017016181270988830449714843827438270.2950.3540.426
201497704212470451591663128372148422171603758318945910553837358373580.2840.3450.419
201577836710145051322280129126150846176219759059010910697237490374900.2980.3670.451
201676903410540351444655113683135468161426732468844310679351299512990.3150.4020.513
201770246410578491593028105897130734161398666038389510567646340463400.3110.4160.557
201851221595439117782798801611495715014555092741329975141058410580.2970.4160.584
2019 1223484     69743      
 
 
 
 
Custom reference points
CustomRefPointNameCustomRefPointValueCustomRefPointNotes
custom1  
custom2  
custom3  
custom4  
custom5  
 
Custom fish data column names
 
Custom fish data
 
 
 
 
Sensivity data