fisheries models: methods, data requirements, environmental linkages

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Fisheries Models: Methods, Data Requirements, Environmental Linkages. Richard Methot NOAA Fisheries Science & Technology. PRESENTATION OUTLINE. Assessment Goals What is a “Stock Assessment”? Data Inputs Assessment Methods Role of Environmental Data. Stock Assessment. - PowerPoint PPT Presentation

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  • Fisheries Models:Methods, Data Requirements, Environmental LinkagesRichard MethotNOAA FisheriesScience & Technology

    Stock Assessment Overview

  • PRESENTATION OUTLINEAssessment GoalsWhat is a Stock Assessment?Data InputsAssessment MethodsRole of Environmental Data

    Stock Assessment Overview

  • Stock AssessmentCollecting, analyzing, and reporting demographic information for the purpose of determining the effects of fishing on fish populations.Key Concepts / JargonStock; Population; UnitAbundance; Biomass; Spawning BiomassRecruitment; Yearclass; CohortFisheryFishing mortality (F); Exploitation Rate

    Stock Assessment Overview

  • STOCK ASSESSMENT PROCESSPOPULATION MODEL:(Abundance, mortality)STOCK STATUSOPTIMUM YIELDCATCHLOGBOOKS,OBSERVERS,AGE/SIZE DATABIOLOGY AGE, GROWTH, MATURITYABUNDANCE TREND RESOURCE SURVEY,FISHERY CPUE, AGE/SIZE DATAADVANCED MODELS HABITAT CLIMATE ECOSYSTEM MANMADE STRESSSOCIOECONOMICS

    Stock Assessment Overview

  • STOCK ASSESSMENT & ECOSYSTEMOPTIMUM YIELDSINGLE SPECIESASSESSMENTMODELTIME SERIESOF RESULTS BIOMASS,RECRUITMENT,GROWTH,MORTALITYHOLISTIC ECOSYSTEM MODEL CUMULATIVE EFFECTS OF ALL FISHERIES AND OTHER FACTORSINDICATORS ENVIRONMENTAL,ECOSYSTEM,OCEANOGRAPHICRESEARCH ONINDICATOREFFECTS

    Stock Assessment Overview

  • Assessment ResultsUsed in Fishery ManagementMonitoring / ReactiveExploitation rate is higher than a maximum limit:overfishing is occurring and must be eliminated;biomass is below a minimum level:the stock is overfished (depleted). A rebuilding plan must be prepared to rebuild the stock in as short a time as possible;ProactiveAssessment forecasts provide the technical basis (operational model) for setting and adjusting fishery quotas and other management measures to:implement harvest policiesRebuild depleted stocks

    Stock Assessment Overview

  • HARVEST CONTROL RULE= OPERATIONAL MODELWhat is the current stock abundance relative to historical and target levels?What level of fishing mortality (F) is the limit (RED) and target (GREEN)?What level of short-term future catch would achieve target?

    Stock Assessment Overview

    Chart3

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    Widow

    POPSpOutputchili-spawnsable(98) Q=.5

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    196961190306641763919690.98027907270.77993692140.9297875705

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    1973268413137147480155305165221.1347919730.42999951940.79791942210.98894003460.98523151880.87090822830.4405736671

    1974251573209646404153984149121.2285419740.40302141910.81635975180.96652850390.97685129380.78604185340.4769713982

    1975230733329845502150836147731.1955519750.36963521890.84693254650.94774114270.95688085620.77871488060.4641632793

    1976212303525444499146592144211.164619760.34010989890.89668328420.92685009690.92995755960.76016024460.452147175

    1977197463773143872136605142941.0431419770.31633584850.95968562420.91379058970.86660153650.75346581620.4049912451

    1978192363918943959133090137570.94703919780.30816552120.99676976290.91560267440.84430290610.72515945390.367680756

    1979184933931644093128211129121.0061419790.296262475810.91839370140.81335126530.6806177850.3906262739

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    1981175333225339778117963106001.1742219810.28088303620.82035303690.82851846450.74833949740.55874756210.4558820675

    198217131253293691511594998011.172219820.27444289580.64424153020.76888629690.73556298490.51663064680.4550978177

    198316464194573420111212382981.8473119830.26375738930.49488757760.71235758470.71129141740.43740445940.7172041884

    198415572175923089310924469952.3093919840.24946732670.44745141930.64345670780.69302747520.36872067890.8966032667

    198514873170552786610595368732.1599519850.23826917220.43379285790.58040865630.67214986710.36228981080.8385843127

    198614388166652395510074366962.0869319860.23049935120.42387323230.49894815770.63909841210.35295978070.8102348479

    19871352816481218379495966132.5757119870.21672193650.41919320380.45483326740.60240558770.34858468191

    19881280115782227228980760652.4356719880.20507521510.40141418250.47326654310.5697220760.31969848720.9456305252

    19891224314978244548536354972.2088619890.19613591580.38096449280.50934160920.54153000960.28975805180.8575732516

    19901181413019257078204647342.0181719900.18926322870.33113745040.5354397950.52048746140.24953876970.783539296

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    1994112509860278497450019621.1970819940.18022780790.25078848310.58005457080.47261677440.1034210110.4647572902

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    POP

    WIDOW

    CHILI

    SABLEFISH

    CANARY

    HAKE

  • FISHING REDUCES LIFETIME EGG PRODUCTION

    Stock Assessment Overview

  • DIRECT FISHING EFFECTSYield per Recruit and Eggs (Spawning Biomass) per Recruit

    Stock Assessment Overview

  • Assessment InputsSTOCK STRUCTURE: Spatial limits of demographic unitTOTAL CATCH: total removals due to human activities (due to fishery landings, discarded bycatch, and cryptic mortality due to encounters with fishing gear);SURVEYS: the relative or absolute magnitude of a fish population (by age);LIFE HISTORY: growth, maturation, fecundity, natural mortality, and other characteristics of individual fish.

    Stock Assessment Overview

  • STOCK ASSESSMENT PROCESS

    POPULATION MODEL:(Abundance, mortality)

    STOCK STATUS

    OPTIMUM YIELD

    CATCHLOGBOOKS,OBSERVERS,AGE/SIZE DATA

    BIOLOGY AGE, GROWTH, MATURITY

    ABUNDANCE TREND RESOURCE SURVEY,FISHERY CPUE, AGE/SIZE DATA

    ADVANCED MODELS HABITAT CLIMATE ECOSYSTEM MANMADE STRESS

    SOCIOECONOMICS

    Stock Assessment Overview

  • What is a Stock?A group of individuals of the same species that:inhabit the same geographic region;interbreed when mature;have sufficiently high levels of diffusion/mixingNorthern StockSouthern StockHigh mixing withinLow mixing between

    Stock Assessment Overview

  • Pillar I - Catch DataFisheries Information SystemCommercial fishing effort, catch, and valueDealer reports Vessel trip reportsRecreational fishing effort and catchTelephone surveysShoreside sampling surveysSize and age structure of catchCommercial catch sampling surveysRecreational catch sampling surveys Electronic dissemination of dataServes stock assessment, economic analysis, and fishery monitoring needs

    Stock Assessment Overview

  • Fishery ObserversSince 1972 NOAA Fisheries has deployed fishery observers to collect catch and bycatch data from US and foreign commercial fishing and processing vessels.Today, 42 fisheries all around the nation are monitored by observer programs logging over 60,000 observer days at sea.Data support fish stock assessment, fishery monitoring, protected species mortality monitoring, and other conservation and management programs.

    Stock Assessment Overview

  • Pillar II - Abundance IndexFishery-Independent SurveysCatch/Effort = q * AbundanceSurvey sampling units (effort) is highly standardized;Sampling follows a statistical design;Assert that q is sufficiently constant;Sometimes, q can be measured directly, so survey catch rate can be transformed directly to measure of abundance

    Stock Assessment Overview

  • Fishery-Independent Surveys10 NOAA ShipsPlus 1768 charter DAS

    Stock Assessment Overview

  • Fishery CPUE as Abundance IndexFishery Catch = q * Effort * AbundanceSoCatch/Effort = q * Abundance

    Unfortunately,Fishing effort is very hard to standardize, so the effective q may not be constant;Fishing tends to occur where abundance is high, not where abundance is average.

    Stock Assessment Overview

  • Advanced TechnologyAutonomous Underwater VehicleContains cameras, sensors, acousticsReach into habitats inaccessible to other survey tools

    Stock Assessment Overview

  • Pillar III - Fish Biology / Life HistoryEase: Length > Weight >> Age > Eggs & Maturity >>> Mortality

    Stock Assessment Overview

  • STOCK ASSESSMENT LOGICEstimating AbundanceHow big must stock have been if:We saw a relative decline of X% per year in the survey index;While Y tons of catch were removed per year;And the stocks biology indicates that natural changes in abundance are only +/-Z% per year

    Stock Assessment Overview

  • BASIC ASSESSMENT APPROACHESIndex MethodsIs stock abundance:Increasing, decreasing, or stable?Equilibrium MethodsOn average, is fishing mortality: too high, too low, or just right?Dynamic Population MethodsEstimates time series of stock abundance and mortalityForecast stock abundance and catch level that maintains mortality targetCan be biomass-based, but age & size structure provide more detail, especially for forecastingChoice depends on data availability and complexity of management questions

    Stock Assessment Overview

  • Trend in Survey Abundance IndexLack of fit due to:Sampling variability of the observationsEnvironmental data can improve stratification and adaptive samplingUnknown changes in the calibration, qEnvironmental data can inform about changes in availability of fish to the surveyOther Data in Model:Recruitment index for some yearsProportion at each age in the fisheryTotal catch

    Stock Assessment Overview

  • INTEGRATED ANALYSISAbility to use various age, length, abundance data to calibrate modelSmoothly transitions from pre-data era, to data-rich era, to forecast.Produces estimates of model uncertainty

    Stock Assessment Overview

  • MODEL PROCESSESCONSTANT

    Assert, Believe!, Hope!! To Be Stable Over TimeTraditional Data Provide Little Information To Estimate VariabilityExamples:Natural MortalitySurvey CatchabilityAverage Spawner-Recruitment RelationshipVARIABLE

    Expected To Vary Over TimeData Are Informative About FluctuationsExamples:Fishing MortalityAnnual RecruitmentGrowth and Maturity Changes

    Stock Assessment Overview

  • PRODUCTIVITYHigh productivity stocks maintain high recruitment levels even as stock abundance declines. They rebuild quickly as fishing mortality is reduced.Low productivity stocks can sustain only low fishing mortality rates. They require multiple generations to rebuild from low biomass levels.Short-term (annual) environmental variability obscures these ecological relationshipsLong-term (decadal) environmental and ecosystem shifts are confounded with relationships

    Stock Assessment Overview

  • ENVIRONMENTAL DATA &VARIABLE PROCESSESIncluding environmental component in model can:Reduce alias in estimate of biomass linkage caused by long-term environmental patterns;Provide additional information on historical fluctuations during data-poor periods;Provide early indicators of upcoming fluctuations.Similar situation for environmental effects on body growthEcosystem effects are harder!Recruitment = f(biomass, environment, ecosystem) + e

    Stock Assessment Overview

  • ENVIRONMENTAL DATA &CONSTANT PROCESSESNew Information About Changes In Constant ProcessesNeed Validation Outside ModelEXAMPLES:Predators Affect Natural MortalitySpatial Distribution Affects CatchabilityThermocline Depth Affects CatchabilityPDO Regime Affects Average Recruitment

    Stock Assessment Overview

  • Fisheries And The Environment

    FATEA NOAA Fisheries Oceanographic Program

    Supporting NOAAs mission to ensure the sustainable use of US fishery resources under a changing climate

    Stock Assessment Overview

  • A FATE Ecosystem Indicator Peterson et al.; Northwest Fisheries Science CenterThis function can be used to predict returns of salmon the following year; copepod anomalies from 2001 predict that about 10% of the juvenile salmon that went to sea in spring 2001 will return to spawn in fall 2002.

    Stock Assessment Overview

  • Sablefish Recruitment VariabilityMichael J. Schirripa and Jim J. ColbertNorthwest Fisheries Science Center, Oregon State University

    Recruitment is fit to stock biomass as well as annual deviations in the Spring sea level anomalies. This made possible estimates of current year-class strengths

    Stock Assessment Overview

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    2003

    1999

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    Rec Dev

    Iy = (SL*0.393)-0.016

    Sheet1

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    19451.31867-0.3425412600.4053317194010.136125219451412600.410.2019941.30075-0.03941-0.2003470.109328665.880.127292415-0.167588

    194618194110.70881691946140.000.2019951.305420.053160.2581380.1124513558.30.08695010830.269711

    19471.397000.661806027.1420019194211.28150851947146027.140.2019961.339420.72764-1.123870.154913338.87-0.2069724117-1.17832

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    19521.376400.397687755.7704024194710.66180491952147755.770.2020011.22950-1.452850.7271640.2660718545.30.743232990.503645

    19531.387670.542146810.3393325194813.02950021953146810.340.2020021.23400-1.36358-0.07505360.384898102.180.70433148-0.24085

    19541.412300.857974743.2578026194912.40552271954144743.260.2020031.327500.49124-2.48680.88807729.974-0.10395545-1.64832

    19551.33900-0.0818410894.154002719501-0.174154019551410894.150.2020041.30050-0.044370.129453610.12945361

    19561.420500.963114055.1630028195110.70026921956144055.160.2020051.367801.29074-0.4523573736-0.4523573736

    19571.393900.622066287.2754029195210.39768291957146287.280.20

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    19751.22000-1.6075920879.92000-1.674974719701-2.022152919751420879.920.20

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    19801.29992-0.5829414173.79283-0.081985219751-1.607592619801414173.790.20

    19811.30350-0.5370013873.10100-0.010555319761-0.825127719811413873.100.20

    19821.31667-0.3681912768.233330.251915419771-1.581949719821412768.230.20

    19831.371830.339138138.977671.351555519781-0.45508631983148138.980.20

    19841.33083-0.1865511579.451670.534295619791-1.363984919841411579.450.20

    19851.26750-0.9985716894.00500-0.728145719801-0.582944719851416894.010.20

    19861.29083-0.6994114936.01167-0.263045819811-0.537001119861414936.010.20

    19871.27250-0.9344716474.43500-0.628485919821-0.368185319871416474.440.20

    19881.30933-0.4622113383.602670.1057360198310.339131619881413383.600.20

    19891.29442-0.6534614635.31983-0.191616119841-0.186548019891414635.320.20

    19901.30817-0.4771713481.502330.082476219851-0.998573519901413481.500.20

    19911.26358-1.0487917222.66817-0.806216319861-0.699406219911417222.670.20

    19921.33025-0.1940311628.401500.522666419871-0.934466219921411628.400.20

    19931.448001.315701747.528002.869806519881-0.46220931993141747.530.20

    19941.30075-0.5722614103.86450-0.065366619891-0.653462719941414103.860.20

    19951.30542-0.5124313712.265830.027666719901-0.477167719951413712.270.20

    19961.33942-0.0765010859.189830.705396819911-1.048790919961410859.190.20

    19971.399830.698135789.385671.909686919921-0.19402721997145789.390.20

    19981.33158-0.1769311516.516170.5492470199311.315699119981411516.520.20

    19991.25208-1.1962418187.67917-1.035457119941-0.572260119991418187.680.20

    20001.30942-0.4611413376.609830.107397219951-0.512426720001413376.610.20

    20011.22950-1.4857920082.73700-1.485607319961-0.076497220011420082.740.20

    20021.23400-1.4280919705.12400-1.3959074199710.698132320021419705.120.20

    20031.32750-0.2292911859.165000.467857519981-0.176931920031411859.170.20

    20041.30050-0.5754714124.84300-0.070357619991-1.196237620041414124.840.20

    20051.3678020.287448477.262971.271197720001-0.4611409

    7820011-1.4857888

    1.345387920021-1.4280922

    8020031-0.2292862

    8120041-0.5754655

    200510.2874440

    Sheet1

    0

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    Year

    Sea Level Z-Score

    Sheet2

    0

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    Sea Level

    Number of Recruits

    Sheet3

    0

    0

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    0

    Year

    Number of Recruits

    00

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    00

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    00

    00

    RecDev = 11.37 + (SL*-8.64)P < 0.0001R-squared = 0.436

    1997 El Nino

    2003

    1999

    Q2 North Sea Level (m)

    Rec Dev

    0

    0

    0

    0

    0

    0

    0

    0

    0

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    0

    0

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    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    Sea Level Z-score

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

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    0

    0

    0

    0

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    0

    0

    0

    0

    0

    0

    0

    0

    0

    Sea Level Z-score

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    RecDev = (SL*-0.3933)-0.0163P < 0.0001R-squared = 0.436

    1997 El Nino

    2003

    1999

    Q2 North Sea Level (Z-score)

    Rec Dev

    HEREARENEWANDIMPROVEDESTIMATES

    X1X2X3Estimated

    YearMissingMoApr-MayMay-JunApr&JunQ2

    192761.3915

    1.384548

    19295

    1.41151.406714

    19324

    1.469

    1.44956

    19334

    1.384

    1.379392

    193861.3995

    1.392013

    194361.4465

    1.435874

    19464thru6

    DISCUSS

    195061.335

    1.331822

    19525

    1.37951.3764

    19545

    1.41751.412398

    195661.43

    1.420476

    195751.3981.393925

  • Evan Howell and Jeff Polovina, Pacific Islands Fishery Science Center

    Stock Assessment Overview

  • 1981 cohortSTD Growth rateGrowth yearUsing variables related to oceanic conditions* we can fit growth rates for individual California cohorts and the probability that a cohort will mature after the third ocean winter at sea.

    *e.g. Wind Turbulence,Upwelling, Sea Level Height, Sea Surface Temperature.

    Proportion maturing after 3 OWBrood year (cohort)CA Chinook Growth and Maturation Vary with the EnvironmentB. Wells, C. Grimes, J. Field, C. Reiss; Southwest Fisheries Science Center

    Stock Assessment Overview

    Chart3

    -0.068218606-0.172669218

    0.07633170940.0727257414

    -0.284557147-0.370439794

    0.02983462760.1119483415

    Predicted

    MODELEDGROWTHRATE

    these are built from age and environment models uses data title modeledgrowthrate.txt

    systembroodyrgrowthyr_TYPE__FREQ__STAT_GROWTHRATEannuluswidth

    REDW1978197803MEAN0-0.142239811

    REDW1978197903MEAN-0.051906354-0.105150937

    REDW1978198003MEAN-0.021589851-0.453028729

    REDW1978198103MEAN0-0.113273188

    REDW1978198201MEAN0-0.157317646

    REDW19791979018MEAN00.0248490778

    REDW19791980017MEAN0.05428576770.0647274948

    REDW19791981017MEAN0.02169024790.0234418595

    REDW1979198201MEAN00.1063268124

    REDW19801980014MEAN00.0529601889

    REDW19801981015MEAN0.08424539020.0414290634

    REDW1980198209MEAN-0.121953631-0.071984284

    REDW1980198302MEAN0-0.291723188

    REDW19811981016MEAN0-0.127639811

    REDW19811982016MEAN0.0458598939-0.06690927

    REDW19811983010MEAN-0.049794878-0.176478729

    REDW19811984010MEAN00.0574968124

    REDW19821982037MEAN00.0052574862

    REDW19821983037MEAN0.0090959436-0.038727513

    REDW19821984036MEAN0.04622625310.1894629379

    REDW1983198308MEAN0-0.058502311

    REDW1983198408MEAN-0.0041799980.01095323

    REDW1983198503MEAN0.0072002434-0.055795395

    REDW1983198603MEAN00.1359268124

    REDW19841984037MEAN0-0.003772244

    REDW19841985035MEAN0.00905221540.1026814443

    REDW19841986035MEAN-0.0073264860.0626969855

    REDW1984198702MEAN0-0.093823188

    REDW19851985011MEAN00.0491783707

    REDW19851986011MEAN0.04131362580.0238611846

    REDW1985198705MEAN-0.005170442-0.157908729

    REDW1985198804MEAN0-0.042573188

    REDW19861986029MEAN00.0339912234

    REDW19861987028MEAN0.0194897382-0.01225927

    REDW19861988027MEAN0.018299464-0.084162062

    REDW1986198906MEAN0-0.023123188

    REDW19871987022MEAN0-0.039089811

    REDW19871988022MEAN0.0229537236-0.027806997

    REDW19871989019MEAN-0.012025299-0.133028729

    REDW1987199002MEAN0-0.101773188

    REDW1987199102MEAN0-0.005117646

    REDW19881988022MEAN00.0716647343

    REDW19881989021MEAN-0.039220363-0.111493794

    REDW19881990016MEAN-0.025691567-0.069491229

    REDW19881991014MEAN00.1039053838

    REDW19891989014MEAN00.0211101889

    REDW19891990015MEAN-0.062415424-0.18006427

    REDW19891991015MEAN-0.035518575-0.004862062

    REDW1989199206MEAN0-0.071806521

    REDW1989199301MEAN0-0.016517646

    REDW1990199005MEAN0-0.081339811

    REDW1990199105MEAN0.0083186824-0.03776427

    REDW1990199203MEAN0.0370869795-0.139128729

    REDW1990199301MEAN0-0.219673188

    REDW1991199104MEAN00.0331601889

    REDW1991199204MEAN0.09078103670.06961573

    REDW1991199302MEAN-0.0299615220.2870712712

    REDW1992199202MEAN00.4269101889

    REDW1992199302MEAN0.010485060.28536573

    Mill1977197704MEAN0.0473106859-0.060529218

    Mill1977197804MEAN-0.377576759

    Mill1977197904MEAN-0.081623128

    Mill1977198004MEAN0.06838018660.0110566748

    Mill19781978029MEAN-0.020590425

    Mill19781979029MEAN-0.095842276

    Mill19781980029MEAN0.0953178719-0.022018817

    Mill1978198104MEAN0.09401666970.1226316748

    Mill1978198201MEAN00.1765126491

    Mill19791979031MEAN-0.104675186MILL

    Mill19791980031MEAN0.12344074130.1277587252

    Mill19791981029MEAN-0.0216201020.0463501481

    Mill1979198204MEAN0.11161089240.1567816748

    Mill19801980020MEAN0.13883422850.0836607822

    Mill19801981020MEAN0.07273386420.1122432414

    Mill19801982018MEAN-0.10507703-0.176987017

    Mill1980198303MEAN-0.107897292-0.374534992

    Mill19811981040MEAN-0.068218606-0.172669218

    Mill19811982040MEAN0.07633170940.0727257414

    Mill19811983036MEAN-0.284557147-0.370439794

    Mill19811984012MEAN0.02983462760.1119483415

    Mill19821982055MEAN-0.061940082-0.113909672

    Mill19821983055MEAN-0.124995997-0.14376585

    Mill19821984053MEAN0.08878833580.1862377213

    Mill1982198505MEAN0.11536346590.2953116748

    Mill19831983026MEAN-0.132912897-0.135192679

    Mill19831984026MEAN0.13363421440.1386847798

    Mill19831985026MEAN-0.0146786050.1045826415

    Mill1983198601MEAN0.0549146185-0.067268325

    Mill19841984044MEAN0.0846962760.1509753277

    Mill19841985044MEAN0.04777859460.1371391505

    Mill19841986037MEAN0.0355019160.0839478182

    Mill1984198708MEAN0.03699600720.0124191748

    Mill19851985078MEAN0.08547562890.1673611668

    Mill19851986078MEAN0.09848037840.1122104209

    Mill19851987073MEAN-0.005362946-0.065741963

    Mill1985198808MEAN0.0227380822-0.063268325

    Mill19861986013MEAN0.09969622830.2570265514

    Mill19861987013MEAN0.07079613560.014438626

    Mill1986198809MEAN0.0441878573-0.146431461

    Mill1987198707MEAN0.0583871408-0.008118504

    Mill1987198806MEAN0.0281363044-0.098343425

    Mill1987198906MEAN0.0220883385-0.277081461

    Mill1987199004MEAN-0.001799888-0.276843325

    Mill1987199101MEAN0-0.349587351

    Mill19881988015MEAN0.14832635650.0473957822

    Mill19881989015MEAN0.0145576077-0.043476759

    Mill19881990015MEAN-0.072310221-0.283218128

    Mill1988199106MEAN0.08838970760.1829483415

    Mill19891989023MEAN0.1254959349-0.015939

    Mill19891990023MEAN-0.05120175-0.246924585

    Mill19891991020MEAN0.03455688760.2832668722

    Mill1989199203MEAN0.0262808636-0.179534992

    Mill1989199301MEAN0-0.073387351

    Mill1990199007MEAN0.1186822214-0.198218504

    Mill1990199107MEAN0.11301549310.0627232414

    Mill1990199205MEAN-0.338433556-0.136918128

    Mill1990199303MEAN-0.113357541-0.165268325

    Mill19911991018MEAN0.0588278429-0.047598662

    Mill19911992018MEAN-0.100848049-0.102815648

    Mill19911993018MEAN-0.095781176-0.085614794

    Mill1991199405MEAN0.09478457160.3679316748

    Mill19921992013MEAN-0.120034871-0.147181141

    Mill19921993013MEAN-0.0324058560.0898617029

    Mill19921994012MEAN-0.072401030.1287102056

    Mill19931993028MEAN-0.009283176-0.006647075

    Mill19931994028MEAN0.02659110410.1173518128

    Mill19931995026MEAN-0.158640567-0.119713512

    Mill19931996012MEAN0.0658169070.0740733415

    Mill19941994024MEAN0.01526921650.1886999489

    Mill19941995024MEAN-0.001522987-0.072401759

    Mill19941996024MEAN-0.004488167-0.124381461

    Mill1994199706MEAN-0.1276829240.0862816748

    Mill19951995027MEAN-0.047689481-0.083378292

    Mill19951996027MEAN0.06211185180.0963602784

    Mill19951997024MEAN-0.169963578-0.060039794

    Mill1995199806MEAN0.0452623045-0.016718325

    Mill1995199901MEAN0-0.124587351

    Mill19961996022MEAN0.054078525-0.037690581

    Mill19961997022MEAN-0.120210082-0.054904031

    Mill19961998020MEAN-0.117676376-0.182558128

    Mill1996199908MEAN0.17805244960.0357441748

    Mill19971997037MEAN-0.065154709-0.066160975

    Mill19971998037MEAN0.01679389580.0116529711

    Mill19971999035MEAN0.0762889529-0.059658128

    Mill1997200002MEAN0.04911572360.0849816748

    Mill19981998025MEAN-0.068102266-0.072084218

    Mill19981999025MEAN0.17833002260.0718672414

    Mill19982000014MEAN-0.0063463030.077816158

    Mill1998200103MEAN0.0836869670.0292650081

    Mill19991999026MEAN-0.147807828-0.064358064

    Mill19992000026MEAN0.08849352630.084188626

    Mill19992001017MEAN-0.0257116080.1180842252

    Mill2000200001MEAN-0.091001162-0.059404218

    Mill2000200101MEAN0.0526954840.4391232414

    MODELEDGROWTHRATE

    00

    00

    00

    00

    Predicted

    1980

    00

    00

    00

    00

    Predicted

    00

    00

    00

    00

    Predicted

    1982

    00

    00

    00

    00

    Predicted

    1983

    00

    00

    00

    00

    Predicted

    1984

    00

    00

    00

    00

    Predicted

    1985

    00

    00

    00

    Predicted

    1986

    00

    00

    00

    00

    00

    Predicted

    1987

    00

    00

    00

    00

    Predicted

    1988

    00

    00

    00

    00

    00

    Predicted

    1989

    00

    00

    00

    00

    Predicted

    1990

    00

    00

    00

    00

    Predicted

    1991

    00

    00

    00

    Predicted

    1992

    00

    00

    00

    00

    Predicted

    1994

    00

    00

    00

    00

    00

    Predicted

    1995

    00

    00

    00

    00

    Predicted

    00

    00

    00

    00

    Predicted

    1997

    0-0.142239811

    -0.051906354-0.105150937

    -0.021589851-0.453028729

    0-0.113273188

    0-0.157317646

    Predicted

    1978

    00.0248490778

    0.05428576770.0647274948

    0.02169024790.0234418595

    00.1063268124

    Predicted

    1979

    00.0529601889

    0.08424539020.0414290634

    -0.121953631-0.071984284

    0-0.291723188

    Predicted

    1980

    00

    00

    00

    00

    Predicted

    1981

    00.0052574862

    0.0090959436-0.038727513

    0.04622625310.1894629379

    Predicted

    1982

    0-0.058502311

    -0.0041799980.01095323

    0.0072002434-0.055795395

    00.1359268124

    Predicted

    1983

    0-0.003772244

    0.00905221540.1026814443

    -0.0073264860.0626969855

    0-0.093823188

    Predicted

    1984

    00

    00

    00

    00

    Predicted

    1985

    00.0339912234

    0.0194897382-0.01225927

    0.018299464-0.084162062

    0-0.023123188

    Predicted

    1986

    0-0.039089811

    0.0229537236-0.027806997

    -0.012025299-0.133028729

    0-0.101773188

    0-0.005117646

    Predicted

    1987

    00.0716647343

    -0.039220363-0.111493794

    -0.025691567-0.069491229

    00.1039053838

    Predicted

    1988

    00

    00

    00

    00

    00

    Predicted

    1989

    0-0.081339811

    0.0083186824-0.03776427

    0.0370869795-0.139128729

    0-0.219673188

    Predicted

    1990

    00.0331601889

    0.09078103670.06961573

    -0.0299615220.2870712712

    Predicted

    1991

    00

    00

    00

    00

    Predicted

    1992

    00

    00

    00

    00

    Predicted

    1997

    MBD000301FD.xls

    Chart8

    -0.053314819-0.08482216

    0.0659507970.0863556233

    0.12585564850.0980796919

    0.10523222520.0338525224

    Predicted

    MODELEDGROWTHRATE

    these are built from age and environment models uses data title modeledgrowthrate.txt

    systembroodyrgrowthyr_TYPE__FREQ__STAT_GROWTHRATEannuluswidth

    REDW1978197803MEAN0-0.142239811

    REDW1978197903MEAN-0.051906354-0.105150937

    REDW1978198003MEAN-0.021589851-0.453028729

    REDW1978198103MEAN0-0.113273188

    REDW1978198201MEAN0-0.157317646

    REDW19791979018MEAN00.0248490778

    REDW19791980017MEAN0.05428576770.0647274948

    REDW19791981017MEAN0.02169024790.0234418595

    REDW1979198201MEAN00.1063268124

    REDW19801980014MEAN00.0529601889

    REDW19801981015MEAN0.08424539020.0414290634

    REDW1980198209MEAN-0.121953631-0.071984284

    REDW1980198302MEAN0-0.291723188

    REDW19811981016MEAN0-0.127639811

    REDW19811982016MEAN0.0458598939-0.06690927

    REDW19811983010MEAN-0.049794878-0.176478729

    REDW19811984010MEAN00.0574968124

    REDW19821982037MEAN00.0052574862

    REDW19821983037MEAN0.0090959436-0.038727513

    REDW19821984036MEAN0.04622625310.1894629379

    REDW1983198308MEAN0-0.058502311

    REDW1983198408MEAN-0.0041799980.01095323

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    REDW1983198603MEAN00.1359268124

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    REDW19841985035MEAN0.00905221540.1026814443

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    REDW1984198702MEAN0-0.093823188

    REDW19851985011MEAN00.0491783707

    REDW19851986011MEAN0.04131362580.0238611846

    REDW1985198705MEAN-0.005170442-0.157908729

    REDW1985198804MEAN0-0.042573188

    REDW19861986029MEAN00.0339912234

    REDW19861987028MEAN0.0194897382-0.01225927

    REDW19861988027MEAN0.018299464-0.084162062

    REDW1986198906MEAN0-0.023123188

    REDW19871987022MEAN0-0.039089811

    REDW19871988022MEAN0.0229537236-0.027806997

    REDW19871989019MEAN-0.012025299-0.133028729

    REDW1987199002MEAN0-0.101773188

    REDW1987199102MEAN0-0.005117646

    REDW19881988022MEAN00.0716647343

    REDW19881989021MEAN-0.039220363-0.111493794

    REDW19881990016MEAN-0.025691567-0.069491229

    REDW19881991014MEAN00.1039053838

    REDW19891989014MEAN00.0211101889

    REDW19891990015MEAN-0.062415424-0.18006427

    REDW19891991015MEAN-0.035518575-0.004862062

    REDW1989199206MEAN0-0.071806521

    REDW1989199301MEAN0-0.016517646

    REDW1990199005MEAN0-0.081339811

    REDW1990199105MEAN0.0083186824-0.03776427

    REDW1990199203MEAN0.0370869795-0.139128729

    REDW1990199301MEAN0-0.219673188

    REDW1991199104MEAN00.0331601889

    REDW1991199204MEAN0.09078103670.06961573

    REDW1991199302MEAN-0.0299615220.2870712712

    REDW1992199202MEAN00.4269101889

    REDW1992199302MEAN0.010485060.28536573

    Mill1977197704MEAN0.0307706327-0.07326716

    Mill1977197804MEAN-0.363088377

    Mill1977197904MEAN-0.025436865-0.061359594

    Mill1977198004MEAN0.19612126330.0156441891

    Mill19781978030MEAN-0.043975493

    Mill19781979030MEAN0.0273365159-0.07606171

    Mill19781980030MEAN0.0349128927-0.033684594

    Mill1978198105MEAN0.24624148080.1445191891

    Mill1978198201MEAN00.143972972

    Mill19791979031MEAN-0.041582573-0.117413127MILL

    Mill19791980031MEAN0.18427876610.1422471071

    Mill19791981029MEAN0.1464047930.066613682

    Mill1979198204MEAN-0.1931803720.1613691891

    Mill19801980021MEAN-0.0590992490.0665197451

    Mill19801981021MEAN0.17395050.139225909

    Mill19801982019MEAN-0.213914002-0.167313541

    Mill1980198304MEAN-0.232377421-0.471155811

    Mill1980198401MEAN00.076172972

    Mill19811981041MEAN-0.076566757-0.181947038

    Mill19811982042MEAN0.00325745840.078775909

    Mill19811983038MEAN-0.294971615-0.333450383

    Mill19811984014MEAN0.05986745410.0521334748

    Mill19821982056MEAN-0.087856342-0.129143945

    Mill19821983055MEAN-0.074018398-0.129277468

    Mill19821984053MEAN0.08580865790.2065012552

    Mill1982198505MEAN-0.0136546630.2998991891

    Mill19831983027MEAN-0.097973945-0.149579197

    Mill19831984027MEAN0.00799326750.1535005122

    Mill19831985027MEAN0.06131183170.123317258

    Mill1983198602MEAN-0.093608849-0.415280811

    Mill1983198701MEAN00.034772972

    Mill19841984049MEAN0.04300223220.1243721261

    Mill19841985049MEAN0.04336198060.1262340722

    Mill19841986042MEAN-0.0529883390.0518439776

    Mill19841987013MEAN-0.069717529-0.225680811

    Mill19851985079MEAN0.10338761490.15480341

    Mill19851986079MEAN0.07085911010.1288002309

    Mill19851987074MEAN-0.000435199-0.046606215

    Mill1985198809MEAN0.0322843499-0.1375697

    Mill19861986014MEAN0.07377428560.2384506975

    Mill19861987014MEAN0.03407631830.0198473376

    Mill19861988010MEAN0.099175427-0.104114594

    Mill1986198901MEAN-0.046581149-0.774880811

    Mill1987198707MEAN0.0813385474-0.020856445

    Mill1987198806MEAN0.1069398037-0.083855043

    Mill1987198906MEAN0.0172217703-0.256817927

    Mill1987199004MEAN-0.136537909-0.272255811

    Mill1987199101MEAN0-0.382127028

    Mill19881988015MEAN0.14173151540.0346578404

    Mill19881989015MEAN-0.02384533-0.028988377

    Mill19881990015MEAN-0.055807584-0.262954594

    Mill1988199106MEAN0.06464610160.1875358557

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    Mill1998200103MEAN0.10523222520.0338525224

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    Mill2000200101MEAN0.18349133560.4536116233

    MODELEDGROWTHRATE

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    1981

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    1982

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    1983

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    1984

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    1985

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    1986

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    1987

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    1988

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    1990

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    1991

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    1992

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    1994

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    1995

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    1996

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    1997

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    1978

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    1979

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    1980

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    1981

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    1982

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    1983

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    1984

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    1985

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    1986

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    1987

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    1988

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    1989

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    1990

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    1991

    Chart1

    0.8333333330.8438591269

    0.6666666670.596626707

    0.9056603770.8659000356

    0.9615384620.8592621374

    0.7837837840.8494425575

    0.8904109590.8326431925

    10.8153035899

    0.3333333330.8573579599

    0.60.834581045

    0.850.8761986272

    0.40.5302070585

    0.7222222220.6783999191

    10.7865543135

    0.5384615380.6787403856

    0.750.7955721504

    0.750.7447664222

    0.60.652641875

    0.9428571430.9539767356

    Observed

    predicted

    Sheet1

    GrowthZonebroodyrratio3_totratio4_totratio5_totratio3_no_2predRESIDpred2RESIDbroodyrLengthOceanTotalLengthReturnYrOceanTotalGrowthZoneGROUPyearBPrin1Prin2Prin3Prin4Prin5predRESIDbrood year

    319800.750.1500.8333333330.60444785380.2288854792896.9772941217.4227058851978914.431977219773.6110910003-1.370984850.5756061557-0.3593327-0.750534699

    319810.60.300.6666666670.56335201010.1033146569896.9772941230.1227058851978927.13197821978

    319820.8727272730.09090909100.9056603770.86975389280.0359064842896.9772941242.8227058851978939.831979219791.6128470721-0.4584376181.7295064991-2.0723232931.4636383264

    319830.9615384620.03846153800.9615384620.7926701970.168868265896.97729412-7.977294115197888931980219803.1081024303-0.7653210474.97356965980.4908464317-0.373348483

    319840.6590909090.18181818200.7837837840.70884284760.0749409364896.97729412-33.377294121978863.63914.4198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.6488238427.7511761651978

    319850.8333333330.10256410300.8904109590.73389151790.1565194411896.97729412-33.377294121978863.63927.1198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.6488238440.4511761651978

    319860.6923076920010.84083460020.1591653998896.9772941242.8227058851978939.83939.8198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.6488238453.1511761651978

    319870.3333333330.50.1666666670.3333333330.7581486773-0.424815344896.97729412-7.97729411519788893889198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.648823842.35117616481978

    319880.60.400.60.6638342067-0.063834207896.9772941268.2227058851978965.23863.6198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.64882384-23.048823841978

    319890.7391304350.0869565220.0434782610.850.8747640289-0.024764029896.9772941268.2227058851978965.23863.6198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.64882384-23.048823841978

    319900.2857142860.42857142900.40.5133631394-0.113363139896.97729412-33.377294121978863.63939.8198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.6488238453.1511761651978

    319910.7222222220.27777777800.7222222220.70494942330.0172727987896.97729412-7.97729411519788893889198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.648823842.35117616481978

    319920.9230769230010.99152822040.0084717796896.97729412-160.37729411978736.63965.2198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.6488238478.5511761651978

    319930.50.42857142900.5384615380.6819552582-0.14349372896.9772941242.8227058851978939.83965.2198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.6488238478.5511761651978

    319940.750.2500.750.8715222475-0.121522247896.97729412-33.377294121978863.63863.6198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.64882384-23.048823841978

    319950.6666666670.1851851850.0370370370.750.8113213249-0.061321325896.97729412-7.97729411519788893889198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.648823842.35117616481978

    319960.5454545450.36363636400.60.6667609713-0.066760971896.9772941217.4227058851978914.43736.6198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.64882384-150.04882381978

    319970.8918918920.05405405400.9428571430.87632740070.0665297423896.97729412-7.97729411519788893939.8198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.6488238453.1511761651978

    896.97729412-33.377294121978863.63863.6198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.64882384-23.048823841978

    896.9772941217.4227058851978914.43889198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.648823842.35117616481978

    896.97729412-33.377294121978863.63914.4198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.6488238427.7511761651978

    896.97729412-122.27729411978774.73889198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.648823842.35117616481978

    896.97729412-109.57729411978787.43863.6198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.64882384-23.048823841978

    896.97729412-109.57729411978787.43914.4198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.6488238427.7511761651978

    896.9772941268.2227058851978965.23863.6198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.64882384-23.048823841978

    918.5839363621.2160636381979939.83774.7198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.64882384-111.94882381978

    918.58393636-105.78393641979812.83787.4198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.64882384-99.248823841978

    918.58393636-42.283936361979876.331978884787.4198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.64882384-99.248823841978

    918.58393636-42.283936361979876.331979922965.2198133219813.9024006468-1.4680125511.77458825471.2139847993-0.406521039886.6488238478.5511761651978

    918.5839363646.6160636381979965.231980854939.819823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.9122024327.8877975731979

    918.58393636-29.58393636197988931981826812.819823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.91220243-99.112202431979

    lastfulllastseason918.58393636-4.1839363621979914.431982901876.319823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.91220243-35.612202431979

    0.83333333318lastf0.843859126919800.8113968542918.58393636-54.983936361979863.631983909876.319823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.91220243-35.612202431979

    0.66666666736lastf0.59662670719810.723983858918.58393636122.8160636419791041.431984889965.219823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.9122024353.2877975731979

    0.90566037753lastf0.865900035619820.8602446404918.5839363621.2160636381979939.83198589188919823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.91220243-22.912202431979

    0.96153846226lastf0.859262137419830.7888256906918.5839363672.0160636381979990.631986847914.419823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.912202432.48779757261979

    0.78378378437lastf0.849442557519840.7983044622918.5839363646.6160636381979965.231987787863.619823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.91220243-48.312202431979

    0.89041095973lastf0.832643192519850.831729364918.5839363621.2160636381979939.8319888951041.419823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.91220243129.487797571979

    19lastf0.815303589919860.8326087662918.5839363646.6160636381979965.231989905939.819823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.9122024327.8877975731979

    0.3333333336lastf0.857357959919870.8662496111918.5839363672.0160636381979990.631990921990.619823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.9122024378.6877975731979

    0.615lastf0.83458104519880.820812507918.58393636-29.58393636197988931991785965.219823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.9122024353.2877975731979

    0.8520lastf0.876198627219890.8113051894918.5839363621.2160636381979939.831992851939.819823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.9122024327.8877975731979

    0.45lastf0.530207058519900.7532478508918.5839363646.6160636381979965.231993865965.219823321982-3.061495587-2.4986255020.35636278710.28747028471.8317292433911.9122024353.2877975731979

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