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Building Blocks of Sustainability in Marine Fisheries Stakeholders, objectives, and strategies Dorothy J. Dankel
Introduction ,[object Object]
Why be concerned about fisheries? FAO SOFIA 2008
Describing the fisheries problem “ The alarming trends in the world’s fisheries demand a fundamental change in management and fishing practices.” “ An integrated solution to the complexity of managing wild resources seems not to have been achieved.”
What is fisheries management? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Describing the fisheries problem “ I believe that rocket scientists have it easy... The USA was able to put a man on the moon within a decade of setting that goal. Achieving  biological and economically sustainable fisheries  has proven more elusive.”
The  fishery system  Charles 2001 ,[object Object],[object Object],Interdisciplinary  science Natural ecosystem Human system Management system
What are we dealing with?  Scientific paradigms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Visualizing scientific paradigms Not exactly a scientific revolution, but more a response to mgmt questions Normal science Post-normal science Academic Academic & social Mono-disciplinary Trans-disciplinary Technocratic Participative Certain Uncertain Predictive Exploratory
[object Object],[object Object],Motivations for fisheries management How can we manage for sustainability? Why should we be concerned about fisheries?
Outline of presentation: Builiding blocks of fisheries sustainability (I) Fisheries management in practice: review of 13 stocks (II) Can we reconcile stakeholder conflicts? (III) Generic properties of harvest rules (IV) Can we increase  haddock yield & save the by-catch for later?
EVALUATING CURRENT MANAGEMENT PRACTICES ,[object Object]
Evaluating fisheries management ( I )
Evaluating fisheries management ( I )
Conclusions: learning from the past ( I ) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Conclusions: learning from the past ( I )
INTEGRATING STAKEHOLDER OBJECTIVES ,[object Object]
Stakeholders are diverse
Yield Profit Ecosystem  Employment Examples of utility components
Stakeholders & diverse preferences Yield Profit Ecosystem  Employment
ecosystem preservation Fishing Effort Benefits (utility) employment yield profit 0 population crash Motivation for Paper II Hilborn, R. (2007). "Defining success in fisheries and conflicts in objectives."  Marine Policy  31: 153-158. Can we quantify this zone of consensus? ,[object Object],[object Object],[object Object],[object Object],zone of new consensus zone of traditional fisheries management WHY??
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Quantifying the zone of consensus: ( II )
Stakeholder preferences assumption: stakeholder group consensus YIELD  EMPLOYMENT PROFIT  STOCK LEVEL (spawning stock biomass) FISHERMEN ” industrial” 0.3 0 0.7 0 ” artisanal” 0.5 0.1 0.1 0.3 SOCIETY ” employment-oriented” 0.2 0.5 0 0.3 ” profit-oriented” 0.2 0 0.6 0.2 CONSERVATIONISTS 0.1 0.2 0.2 0.5
Quantifying stakeholder utilities
Quantifying the zone of consensus Area of joint satisfaction Most likely zone of consensus Stakeholder A Stakeholder B
Harvest proportion  (%) Minimum size (cm) status quo Zone of Consensus Capelin Cod 70%consensus 90%consensus
HARVEST RULES AS A TOOL TOWARDS A MANAGEMENT STRATEGY ,[object Object]
Harvest control rule (HCR) ,[object Object],[object Object],[object Object],[object Object]
Generic examples of HCRs Biomass Fishing mortality constant F proportional  threshold escapement =   parameter
Empirical example:  North Sea herring ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Biomass (tons) Fishing mortality B lim   800 000 900 000 1.3 mill 0.25 0.13
Tips & tricks for HCRs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Understanding harvest control rules for modern management ( III ) ,[object Object],[object Object],[object Object],[object Object]
HCR parameter variation Biomass  at time,  t C 0 1:1 trigger biomass,  B trigger constant catch  α   = 0 constant F  α   = C 0 /B trig constant escapement  α   = 1
[object Object],[object Object],Evaluating generic HCRs:  output according to parameter levels
Evaluating generic HCRs:  output according to parameter levels Lowest CV  Lowest biol. risk All rules the same Lowest CV Highest catch
Preliminary summary ( III ) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
PUTTING IT TOGETHER:  MAPPING OUT MANAGEMENT SCENARIOS FOR GEORGES BANK ,[object Object]
Study area: Georges Bank, NW Atlantic
Fig. 2.  Status of 19 groundfish stocks in 2007 with respect to F MSY  and B MSY  or their proxies based on the GARM III review (NOAA 2008). 2007 Status of Northeast groundfish Georges Bank
Separator trawl Ruhle trawl Otter trawl Trawl types for NE groundfishery
[object Object],[object Object],[object Object],Jacobson  et al.  Mixed-species yield model
An interdisciplinary aid to inform decision makers ( IV ) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Scenario results for haddock ( IV ) $$
Summary: Building blocks of sustainability for fisheries management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Take home messages ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Acknowledgements ,[object Object],[object Object],[object Object]
 
Stakeholder utility results using 2 regulations Zone of consensus Harvest proportion  (%) Minimum sIze (cm) Zone of consensus  = minimum stakeholder whinge Use more imaginary example
Ruhle trawl results  from Beutel et al. 2006
HCR parameter variation Biomass  at time,  t C 0 1:1 similar constant catch  α   = 0 constant F  α   = C 0 /B trig constant escapement  α   = 1 trigger biomass,  B trigger
HCR parameter variation Biomass  at time,  t C 0 1:1 similar similar constant catch  α   = 0 constant F  α   = C 0 /B trig constant escapement  α   = 1 trigger biomass,  B trigger
Not a simple task to visualize 4 dimensions Over from a scientific to a stakeholder presentation Evaluating generic HCRs:  output according to parameter levels Lowest CV  Lowest biol. risk compromise btwn building up stock and protecting with thres. B All rules the same Lowest CV Highest catch Too much protection that it is hard for B to >  thres. B
Scenario results for all species ( IV ) $$

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Dorothy's fisheries management dissertation

  • 1. Building Blocks of Sustainability in Marine Fisheries Stakeholders, objectives, and strategies Dorothy J. Dankel
  • 2.
  • 3. Why be concerned about fisheries? FAO SOFIA 2008
  • 4. Describing the fisheries problem “ The alarming trends in the world’s fisheries demand a fundamental change in management and fishing practices.” “ An integrated solution to the complexity of managing wild resources seems not to have been achieved.”
  • 5.
  • 6. Describing the fisheries problem “ I believe that rocket scientists have it easy... The USA was able to put a man on the moon within a decade of setting that goal. Achieving biological and economically sustainable fisheries has proven more elusive.”
  • 7.
  • 8.
  • 9. Visualizing scientific paradigms Not exactly a scientific revolution, but more a response to mgmt questions Normal science Post-normal science Academic Academic & social Mono-disciplinary Trans-disciplinary Technocratic Participative Certain Uncertain Predictive Exploratory
  • 10.
  • 11. Outline of presentation: Builiding blocks of fisheries sustainability (I) Fisheries management in practice: review of 13 stocks (II) Can we reconcile stakeholder conflicts? (III) Generic properties of harvest rules (IV) Can we increase haddock yield & save the by-catch for later?
  • 12.
  • 15.
  • 16.
  • 17.
  • 19. Yield Profit Ecosystem Employment Examples of utility components
  • 20. Stakeholders & diverse preferences Yield Profit Ecosystem Employment
  • 21.
  • 22.
  • 23. Stakeholder preferences assumption: stakeholder group consensus YIELD EMPLOYMENT PROFIT STOCK LEVEL (spawning stock biomass) FISHERMEN ” industrial” 0.3 0 0.7 0 ” artisanal” 0.5 0.1 0.1 0.3 SOCIETY ” employment-oriented” 0.2 0.5 0 0.3 ” profit-oriented” 0.2 0 0.6 0.2 CONSERVATIONISTS 0.1 0.2 0.2 0.5
  • 25. Quantifying the zone of consensus Area of joint satisfaction Most likely zone of consensus Stakeholder A Stakeholder B
  • 26. Harvest proportion (%) Minimum size (cm) status quo Zone of Consensus Capelin Cod 70%consensus 90%consensus
  • 27.
  • 28.
  • 29. Generic examples of HCRs Biomass Fishing mortality constant F proportional threshold escapement = parameter
  • 30.
  • 31.
  • 32.
  • 33. HCR parameter variation Biomass at time, t C 0 1:1 trigger biomass, B trigger constant catch α = 0 constant F α = C 0 /B trig constant escapement α = 1
  • 34.
  • 35. Evaluating generic HCRs: output according to parameter levels Lowest CV Lowest biol. risk All rules the same Lowest CV Highest catch
  • 36.
  • 37.
  • 38. Study area: Georges Bank, NW Atlantic
  • 39. Fig. 2. Status of 19 groundfish stocks in 2007 with respect to F MSY and B MSY or their proxies based on the GARM III review (NOAA 2008). 2007 Status of Northeast groundfish Georges Bank
  • 40. Separator trawl Ruhle trawl Otter trawl Trawl types for NE groundfishery
  • 41.
  • 42.
  • 43. Scenario results for haddock ( IV ) $$
  • 44.
  • 45.
  • 46.
  • 47.  
  • 48. Stakeholder utility results using 2 regulations Zone of consensus Harvest proportion (%) Minimum sIze (cm) Zone of consensus = minimum stakeholder whinge Use more imaginary example
  • 49. Ruhle trawl results from Beutel et al. 2006
  • 50. HCR parameter variation Biomass at time, t C 0 1:1 similar constant catch α = 0 constant F α = C 0 /B trig constant escapement α = 1 trigger biomass, B trigger
  • 51. HCR parameter variation Biomass at time, t C 0 1:1 similar similar constant catch α = 0 constant F α = C 0 /B trig constant escapement α = 1 trigger biomass, B trigger
  • 52. Not a simple task to visualize 4 dimensions Over from a scientific to a stakeholder presentation Evaluating generic HCRs: output according to parameter levels Lowest CV Lowest biol. risk compromise btwn building up stock and protecting with thres. B All rules the same Lowest CV Highest catch Too much protection that it is hard for B to > thres. B
  • 53. Scenario results for all species ( IV ) $$