dap fisheries reform

Integrating Commercial and Recreational Sectors in Fishery

Management

Steve ChoySean Guerin

Erin MyersMing Ng

Jesse Patterson

Advisor: Chris CostelloClient: Environmental Defense

University of California, Santa BarbaraDonald Bren School of Environmental Science and Management

The Need for Fisheries Reform

Catch Shares

Catch shares allocate the privilege to harvest a percentage share of the total catch to individual fishermen, communities, or associations

-Environmental Defense

“Sustaining America’s Fisheries and Fishing Communities”

Conceptual Model

Fishery Data

Management Scenarios

Economic

Model Analysis

Environmental

Model Analysis

Social

Model Analysis

Political

Model Analysis

Catch Distribution

Social

Score

Political

Score

Environmental

Score

Catch Distribution

Economic Gain


Recreational Industry

Recreational Anglers



Baseline Scenario

Scenario 1 Scenario 2 Scenario 3




Commercial Commercial Commercial


Commercial

Calculating Demand

Commercial



kdsfksdjfk

Demand for Rockfish Tags: Willingness-to-Pay by Sectors and Sub-sectors

0

2

4

6

8

10

12

14

16

0 50,000 100,000 150,000 200,000 250,000 300,000 350,000

Quantity of tags demanded

Pri

ce

pe

r ta

g (

$)

Economic Model – Determine willingness to pay for tags

Commercial Demand

Recreational Angler Demand (Private Boater)

Recreational Angler Demand (Shore)

Aggregate Recreational Angler Demand

Recreational Industry Demand

Baseline Scenario

0

2

4

6

8

10

12

14

16

0 50,000 100,000 150,000 200,000 250,000 300,000 350,000


Pri

ce

pe

r ta

g (

$)

Commercial Demand

Commercial TAC

$8.36

$6.66


Recreational Industry Harvest

Scenario 1

Scenario 2: Tags Tradable Across Commercial and Recreational Industry Sectors

0

2

4

6

8

10

12

14

16

0 100,000 200,000 300,000 400,000 500,000


Pri

ce

pe

r ta

g (

$)

Commercial Demand


Aggregate Comm. and Rec. Industry Demand

Aggregate Comm. and Rec. Industry TAC

$7.32

Commercial TAC

Recreational Industry Harvest

Scenario #2 Distribution of TAGS

Comm.20%

Rec Industry

54%

Rec Angler26%

Comm increases

5%

$7.15

Scenario 3 Summary

Scenario #3 Distribution of TAGS

Comm.21%

Rec Industry

56%

Rec Angler 23%

Economic Analysis – Gains from trade

Annual Welfare Benefits from Trade

$0

$2,000

$4,000

$6,000

$8,000

$10,000

$12,000

$14,000

$16,000

Baseline Scenario 1 Scenario 2 Scenario 3

Wel

fare

e B

enef

its

Commercial


Recreational Angler

Conceptual Model

Fishery Data


Economic

Model Analysis

Environmental

Model Analysis

Social

Model Analysis

Political

Model Analysis

Catch Distribution

Social

Score

Political

Score

Environmental

Score

Catch Distribution

Economic Gain

Environmental, Social and Political Analysis Using Multi-Criteria Analysis (MCA) as a tool

for comparison.

Environmental

Social

Political

Environmental Model

Stakeholders:• Commercial Industry

• Recreational Industry

• Recreational Anglers

Elements:• Biomass

• Size Distribution

• Habitat Impact

• Bycatch

• Discards

Social Model

Aspects:•Jobs

•Access/ Opportunity

•Peripheral Effects

Political Model

Acceptability:• Flexibility• Complexity• Costs• Sustainability• Enforceability• Ecosystem Health

•Readiness:• Trade facilitation • Existing Organization

Final Results

Comparison of Scenarios Across Criteria

$12,073 $14,229

-0.2

-0.1

0

0.1

0.2

0.3

0.4

0.5

0.6


Wei

gh

ted

Sco

re

-$4,600

$400

$5,400

$10,400

$15,400

Do

llar

s

Social Environmental Political Acceptability

Political Readiness Gains From Trade ($)

Recommendation: Scenario 2

Positives

High gains from trade Increase in stewardship

Biomass Compliance

Increases long term sustainability and short term profits in both industries

Generates Essential Fishery Information (EFI)

Scenario 2: A Closer Look

Challenges

Potential size high-grading and discards

Setting accurate recreational and commercial harvest limits for species and species complexes

Increased complexity of regulation

The Wider Scope

A fishery management system that integrates commercial and recreational sectors can result in greater benefits than a system that manages sectors separately.

Special Thanks and Acknowledgements to:

Jeff Barr Kate Bonzon California Department of

Fish and Game Chris Callahan and the Sea

Landing Crew Marc Conte Chuck Cook Chris Costello Jason Diamond and the

Stardust crew Environmental Defense

Rod Fujita Chris Hoeflinger Matt Kotchen Marcus Lebeck Merit McCrea Maggie Ohstahl Tom Raftican David Stoms Sustainable Fisheries Group John Ugoretz Das Williams Oran Young

Sensitivity Analysis

Commercial price/cost Age Tag price Expected catch Annual # of CPFV trips Weights for MCA

Sensitivity Analysis Results –

Low and high range for each demand curve

Sensitivity Analysis- Distribution Comparison- Scenario 2

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

comm cpfv private shore

sectors

Dis

trib

utio

n %

Model

SA8

SA12

Sensitivity Analysis- Distribution Comparison- Scenario 3

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

comm cpfv private shore

sectors

Dis

trib

utio

n %

Model

SA8

SA12

Sensitivity Analysis Results

Environmental Sensitivity Analysis

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0.16

0.18

0.2


Model

SA8

SA12

MCA Results

-0.1

0

0.1

0.2

0.3

0.4

0.5

Social Environmental PoliticalAcceptability

PoliticalReadiness

Weighted Scores by Criteria

Scenario 1

Scenario 2

Scenario 3

Sensitivity Analysis

Economic model was most sensitive to: Commercial Costs Angler Age

Economic Model was run using a high and low estimate to maximize and minimize the effects on distribution and gains from trade

Results then run through the Environmental and Social and then Political Model

Scenario 2 was still the favored scenario

dap fisheries reform

Technology

yearnumber of times

timesfishing magsvalue

manmade structureave

owned boatave

recreational sectors

stardust 19310913yes1male10

chris costelloclient

managementthe need