proxies for estimation of relative fishing mortality when biomass is unknown rainer froese, geomar...

20
Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012 ICES CM 2012/G:2815

Upload: colleen-shepherd

Post on 20-Jan-2016

219 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

Proxies for estimation of relative fishing mortality

when biomass is unknown

Rainer Froese, GEOMARArlene Sampang, FIN

ICES ASC, Bergen, 18 September 2012ICES CM 2012/G:2815

Page 2: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

Principles of Ecosystem-Based Fisheries Management

• Overall goal: Extract pretty good catches with least impact on the stocks and on the ecosystem

• Consider species-interactions: – Do not cause more mortality than all other

predators combined (F <= M)– Leave enough biomass of forage fish (F <= 2/3 M)

(Pikitch et al. 2012 )• Do not use destructive gears

2

Page 3: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

Binding MSFD to the Rescue

(Descriptor 3): “Populations of all commercially exploited fish and shellfish are within safe biological limits, exhibiting a population age and size distribution that is indicative of a healthy stock.”•3.1: F <= Fmsy or U <= Umsy

•3.2: SSB >= SSBmsy

•3.3.1: Proportion of fish larger than the mean size of first sexual maturation•3.3.3: 95 % percentile of the fish length distribution

Page 4: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

MSFD Problem: Reference points and data are lacking

• 3.1: F <= Fmsy or U <= Umsy

– If no Fmsy is available, use natural mortality M instead: F <= M

– If no F is available, get F/M proxy from mean length in catch

• 3.2: SSB >= SSBmsy

– If no biomass is known, use mean length in the catch: Lmean >= LF=M

• 3.3.1: Proportion of fish larger than the mean size of first sexual maturation– Use mean length in catch relative to maturity: Lmean >= 1.2 Lm

• 3.3.3: 95 % percentile of the fish length distribution– Use mean length in catch relative to the length where the biomass of

cohorts is maximum: Lmean >= 0.9 Lopt

Page 5: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

Equations

Mean length in catch

Proxy for F/M

Expexted mean length if F = M

Optimum length of capture

t

ttmean N

NLL

MK

MLKLL c

MF 2

2

K

MLLopt

3

3

1)(

)(

cmean

mean

LLM

LLK

M

F

Page 6: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

M observed vs M = 1.5 K

0.01

0.10

1.00

10.00

100.00

0.01 0.1 1 10 100

M from 1.44 K

M o

bse

rved

M from 1.5 K (Jensen 1996)Data from FishBase

Page 7: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

If K/M = 2/3

Proxy for F/M

Expexted mean length if F = M

Optimum length of capture Lopt = 2/3 L∞

4

3

LLL c

MF

1)(3

)(2

cmean

mean

LL

LL

M

F

Page 8: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

M as proxy for Fmsy

Relation between Fmsy and M for eight ICES stocks. On average for 34 stocks, Fmsy = 1.5 M.

Page 9: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

Simple vs Demanding L(F=M)

Mean length where F=M for nine ICES stocks, estimated with (X-axis) and without K and M.

Page 10: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

Simple vs Demanding Lopt

Length where cohort biomass is maximum, for nine ICES stocks, estimated with (X-axis) and without K and M.

Page 11: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

3.1 Fishing pressure F / Fmsy

Mean F2005ff relative to Fmsy for eight ICES stock

Page 12: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

3.1 Fishing pressure F / M

Page 13: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

3.2 Biomass vs 2*SSBpa

Page 14: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

3.2 Stock size from mean length

Page 15: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

3.3 Healthy Age Structure

Numbers and length at age, with reference points, similar to Eastern Baltic cod

Page 16: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

3.3 Healthy Age Structure

Numbers and length at age, with reference points, with optimum fishing: F=M, Lmean = Lopt.Note higher catches.

Page 17: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

3.3.1 Maturity

Page 18: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

3.3.3 Optimum Length, Old Fish

Page 19: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

Summary of MSFD Status

Stock F/Fmsy F/M SSB /(2*SSB pa) L mean/L m L mean/L opt L mean/L (F=M ) MSCspr-2232 1.1 1.4 1.7 1.1 1.1her-30 0.7 0.7 1.0 1.0 1.2her-31 2.0 0.9 1.0 1.1cod-2532 1.6 2.4 1.1 0.6 0.8 Yesple-nsea 1.1 2.9 0.8 1.3 0.7 1.0 Yessai-nsea 1.0 1.5 0.7 0.8 0.7 0.9 Yesher-nsea 0.6 0.4 0.7 1.5 1.2 1.6 Yescod-arct 1.0 1.9 1.1 0.8 0.7 1.0 Yesher-noss 1.0 1.0 0.8 1.3 1.3 1.5 Yes

Page 20: Proxies for estimation of relative fishing mortality when biomass is unknown Rainer Froese, GEOMAR Arlene Sampang, FIN ICES ASC, Bergen, 18 September 2012

Thank You

Rainer Froese, GEOMAR [email protected]