life-history traits of fishes: a review with application for mangement of data-poor stocks rainer...

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Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, [email protected] XIV European Congress of Ichthyology 04 July 2012, Liège, Belgium

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Page 1: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Life-History Traits of Fishes:A Review with Application for

Mangement of Data-Poor Stocks

Rainer FroeseGEOMAR, Kiel, [email protected]

XIV European Congress of Ichthyology04 July 2012, Liège, Belgium

Page 2: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Overview

• Status of global fish stocks• Rio+20 and the CFP Reform• Principles of ecosystem-based fisheries

management• Growth and Mortality• New method for MSY• Conclusions

Page 3: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

‚Stability‘ in world catches masks decline of fish stocks

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Page 4: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Global Catches are Stagnating

Pauly and Froese, 2012

Page 5: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Global Effort Keeps Increasing

Pauly and Froese, 2012

Page 6: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Global Fish Stocks are Shrinking

If catches are stagnating

while effort is increasing

then fish stocks must be shrinking

Pauly and Froese, 2012

Page 7: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

• The method to assess all global stocks proposed by Froese & Kesner-Reyes (2002), subsequently used by others, including Worm et al. (2006) for their 2048 prediction, is sound

• Global overfishing continues

• FAO, by using a subset of well-researched stocks, severely underestimates global overfishing

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Page 8: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Status of Global Fish Stocks 2009

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Neue Bestände

Zusammengebrochen

Undeveloped

Developing

Fully exploited

Overexploited

Collapsed

Froese et al. Marine Biology 2012

Page 9: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

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Page 10: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

European Stocks and Fisheries

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Page 11: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Status of all European Stocks

11

Neue Bestände

Zusammengebrochen

Developing

Fully exploited

Undeveloped

Overexploited

Collapsed

Froese et al. Marine Biology 2012

Page 12: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Status of European Fish Stocks

12Landings from ICES 2010, MSY from Froese and Proelß 2010

Page 13: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Politics

Page 14: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

News from Rio +20

Article 168 of the The Future We Want: Outcome of the Conference deals with fisheries:•Governments commit to intensify efforts to restore stocks at least to MSY levels•They commit to urgent measures, „including by reducing or suspending fishing...“•They commit to ecosystem-based fisheries management

Page 15: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

News from the CFP Reform

• The Commission (Maria Damanaki) has presented a reasonable CFP reform proposal (although less than Rio +20)

• The Council of Agriculture Ministers has recently decided upon its ‚compromise‘ position

• The European Parlament will present its position in October, then a new compromise has to be negotiated

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Page 16: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

The Council Compromise

• Postpones sustainable fishing for stocks without Fmsy estimates until 2020

• Proposes an administrative monster for reduction of discards until 2020

• Introduces lots of loopholes for continued overfishing, e.g. of not „significant“ species in mixed fisheries

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Page 17: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

The General Problem

• Over 4,000 species of fishes are harvested from the wild globally (FishBase 02/2012)

• Full stock assessments are available for only a few hundred species

Page 18: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

The Solution

• General principles combined with incomplete knowledge are sufficient for reasonable management

(Lessons learned after 30+ years of managing the

Great Barrier Reef, Josh Gibson, pers. comm., 21.6.2012)

Page 19: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

The Fisheries Question

• How much can we safely take from a fish population?

• How much mortality can we add without destroying the stock?

Page 20: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

The Answer

Principles of Ecosystem-based Fisheries Management•Never take more than all other predators combined•To avoid collapse with high certainty, take less

– For regular fish, take ¾ of natural mortality– For forage fish, take ½ of natural mortality

Pikitch et al. 2012

Page 21: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

How to Estimate Natural Mortality?

• From decrease of numbers by age class (only about 200 studies in FishBase; Z = F +M)

• From growth parameters• From longevity• From maximum size

Page 22: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Most Species Grow Forever(Exception: birds and mammals)

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0 1 2 3 4 5 6

Age (in units of mean adult life expectancy)

We

igh

t (r

ela

tiv

e t

o m

ax

imu

m w

eig

ht)

Fishes Bivalve Euphausiid Trees Newt Squid

Wt=W∞(1-e-(K t))3

Page 23: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Growth, Mortality and Reproduction

Froese & Pauly, in press

Reproductive outputis maximized ifM <= 1.5 K

Maturation dependson parental care

Page 24: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Reproductive Strategies and Maturation

0.0

0.2

0.4

0.6

0.8

1.0

1-spawners bearer&guarders nonguarders

Le

ng

th a

t fir

st m

atu

rity

A B C

Froese & Pauly, in press; FishBase 04/2011

Page 25: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

M = 1.5 K

Plot of mortality M predicted from growth parameter K over observed mortality, for 294 growth and mortality studies of 192 species of fishes. Data from FishBase

Page 26: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

How to Estimate Natural Mortality?

• From growth parameters: M = 1.5 K• From longevity

Page 27: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Taylor‘s (1958) Maximum Age

Taylor’s maximum age at 95% L∞ = 3/K plotted over observed maximum age, based on 510 growth studies for 391 species of fishes. FishBase 02/2012

Page 28: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

M = 4.5 / max. Age

Page 29: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

How to Estimate Natural Mortality?

• From growth parameters: M = 1.5 K• From longevity: M = 4.5 / tmax

• From maximum size

Page 30: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

If No Growth Studies are Available

Scatterplot of von Bertalanffy growth parameters K over W∞ from 4,021 growth studies of 1,020 species of iteroparous fishes. A robust regression (bold line) accounts for 48% of the variability in the data. FishBase 02/2012

Page 31: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Add More Knowledge

Estimating K as a function of max weight, climate zone, resilience, and habitat explained 68% of the variability in the data.

Page 32: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

How about Data-Poor Stocks?

• Knowing the fraction of the stock that can be fished is fine, but what about the many stocks for which no abundance is known?

• New method (Martell & Froese 2012) estimates the maximum sustainable yield from catch data and resilience

Page 33: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de
Page 34: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Excellent Agreement

Plot of MSY estimated by the Catch-MSY method versus full stock assessments for 48 stocksfrom the Northeast Atlantic. The broken line indicates the 1:1 relation while the dotted lines indicate ratios of 0.5 and 1.5, respectively.

Page 35: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

MSY-only Management (next study)

If the stock size is above 50% of unfished level•take 75% of MSY from ‚regular‘ fish stocks•take 50% of MSY from forage fishIf there is doubt about the stock size•stop fishing•resume fishing at 25% of MSY after signs of recovery•increase fishing slowly to 50% or 75% of MSY

Page 36: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Conclusions

• Overfishing is ongoing and increasing globally• International agreements for sustainable

fishing are in place but need to be implemented

• Life-history traits can help with reasonable, simple management

Page 37: Life-History Traits of Fishes: A Review with Application for Mangement of Data-Poor Stocks Rainer Froese GEOMAR, Kiel, rfroese@geomar.derfroese@geomar.de

Thank You

Rainer FroeseGEOMAR, Kiel, Germany

[email protected]

P.S. Please send you results (growth, reproduction, maturity, fecundity, spawning, food items, diet, ...) and photos to

FishBase.