ICES Marine Data
Stock Assessment Graphs
 
  Stock assessment graphs > View list of published graphs and tables > View published graphs and tables > View source data
 
 
Norway lobster (Nephrops norvegicus) in Division 8.c, Functional Unit 31 (southern Bay of Biscay and Cantabrian Sea)
Species: Stock Assessment Graphs
Stock code: nep.fu.31
Assessment Year: 2021
Key: 15633
   
   
Unit weights tonnes
Unit recruitment thousands
Fishing pressure description F/Fmsy
Fishing pressure units ratio
Stock size description B/Bmsy
Stock size units
       
Fish reference points      
       
Management plan SSBMP  
FMP  
MSY approach MSYBtrigger 0.5  
FMSY 1  
Precautionary approach Blim 0.3  
Bpa  
Flim 1.7  
Fpa  
       
Age and Length      
       
Recruitment 0  
F  
       
       
 
Fish data
YearLow SSBSSBHigh SSBLandingsCatchesLow FFHigh F
19830.7704790591.2063170131.88869602463630.5009839361.1236569792.520250479
19840.6891685651.282242062.3856931141001000.6750601571.5668093923.636552451
19850.6400023691.3575527952.8795980771281280.6686487211.6403358654.024088679
19860.5878585521.4427639253.5409329931271270.5599171121.4533464073.772372257
19870.5444127841.4753553.9982021741181180.5790402731.5684193674.248304345
19880.5211383941.5328090854.5084064431511510.6817921831.951595515.586343066
19890.4844197131.5368729584.8758925871771770.7905279362.3600729467.045853857
19900.425278161.4563253284.9870500291741740.6815780432.0359367116.081531434
19910.358601411.1739194243.8429486761091090.561951481.6499090354.844190148
19920.3276805731.0669440923.47402253794940.5664339691.6443835594.773720212
19930.3145005421.0135529013.266415621011010.8219892452.3914081966.957308981
19940.3017508731.0098813823.3798092991481480.8663868322.5028918977.230566784
19950.2518098090.8240844572.6969370194941.0395732912.8513737327.820835942
19960.2283779080.6922324362.0982140911291291.389557633.84656692310.64804854
19970.1847285120.566238311.73565964598981.1289770213.1925992849.028253006
19980.1493373360.4470830331.33846795572720.7774385852.3542538257.129194744
19990.1350889540.4527960351.51769810248480.5201233951.6155104845.017797988
20000.1294017870.4331110821.4496338434340.3812349881.1895225433.711526808
20010.1324257260.4501422741.53012615727270.3037638030.9511833612.978464776
20020.1402090770.4750495921.6095399826260.3493884661.0960490133.438360325
20030.1510572230.5278040271.8441825335350.3326942431.0480823133.301759976
20040.152504540.5216559221.78437245229290.3785735211.2251068273.964584565
20050.1562805630.5649901812.04256945448480.4313296661.4585242214.931942017
20060.1437520360.5496523572.10165866737370.4072807231.3533132764.49679231
20070.1262477610.4630792831.69858396632320.3598184911.1912101313.94360382
20080.1091286880.3913906481.40372473520200.2205582630.7089010762.278494263
20090.0952834690.332272941.1587036810100.1937143050.5938253321.820353563
20100.0883952310.2826043570.903501484990.1827265790.540487311.598708486
20110.0847736290.255382750.769347143770.1808733210.5330675321.571049794
20120.0904954350.2666829810.78589392810100.1826289840.5660361461.754359642
20130.1088532260.3706423911.26202766410100.0761930950.2466118530.798201022
20140.1186970990.4203822871.488842341440.0377274730.1268713810.426647909
20150.1293185910.4885226251.845475997330.020769240.0722528710.251356212
20160.1345373420.5174816261.990430533330.016102890.0530819090.174980339
20170.1330869060.4886567661.794206828000.0285667480.0881881120.272244606
20180.1313639830.4129073811.297863396030.0644371910.1907583880.56471677
20190.1342257320.4082820591.241894811160.1138939560.3411430551.021815272
20200.1414848820.4402994941.3702074831100.13221720.4415701911.474726696
20210.1442832230.443505911.363273489     
 
 
 
 
Custom reference points
CustomRefPointNameCustomRefPointValueCustomRefPointNotes
custom1  
custom2  
custom3  
custom4  
custom5  
 
Custom fish data column names
 
Custom fish data
 
 
 
 
Sensivity data