modeling mpas in regulated fisheries: assessing the role of larval dispersal distance

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Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance Carey McGilliard and Ray Hilborn July 12, 2006

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Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance. Carey McGilliard and Ray Hilborn July 12, 2006. Outline. Motivation for the study A review of the model Long vs. short dispersal distance The unregulated fishery The fishery at MSY - PowerPoint PPT Presentation

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Page 1: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Modeling MPAs in regulated fisheries: assessing the role of larval dispersal

distance

Carey McGilliard and Ray Hilborn

July 12, 2006

Page 2: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Outline

• Motivation for the study

• A review of the model

• Long vs. short dispersal distance– The unregulated fishery– The fishery at MSY– The fishery recovering from an overfished

state

• Conclusions

Page 3: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Motivation

• Most previous research focuses on MPAs in otherwise unregulated fisheries

• Some MPAs are introduced into managed fisheries, sometimes fisheries that are not heavily overfished.

• Hilborn et al. (2006) use a one-stage spatial model to show that an MPA does not always improve abundance and catch.

Page 4: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Hilborn et al. (2006) is a one-stage model with short movement distances

What is the role of larval dispersal when an MPA is implemented in a regulated

fishery?

Page 5: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

One Stage Model

BirthFishing

MovementNatural

Mortality

Larval stage Adult stage

Recruitment

Births

FishingBehavior

FishingRegulations

Page 6: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Movement occurs in one dimension: e.g. along the coastline and not between offshore and coastal environments

How is the Marine Protected Area implemented?

Page 7: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Previously unregulated fishery(Post-dispersal density dependent mortality)

Long Distance Larval Dispersal Short Distance Larval Dispersal

Page 8: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Fishery at MSY

Long Distance Larval Dispersal Short Distance Larval Dispersal

Page 9: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Fishery recovering from an overfished state

Long Distance Larval Dispersal Short Distance Larval Dispersal

Page 10: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Fishery recovering from an overfished state (II): Lower TAC only

Only MPA (Long distance dispersal) Only lower TAC

Page 11: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Fishery recovering from an overfished state (III): Implement MPA & lower TAC

Long Distance Larval Dispersal Short Distance Larval Dispersal

Page 12: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Why doesn’t population abundance increase more significantly in scenarios with an MPA?

Long Distance Larval Dispersal Short Distance Larval Dispersal

Page 13: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

What happens to CPUE?

Long distance dispersal

At MSY

Recovering, Lower TAC +MPA

Recovering, MPA

Unregulated

Page 14: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Short distance dispersal

Page 15: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Conclusions: Abundance• An MPA improves population abundance in an

unregulated fishery with declining abundance for both long and short larval dispersal distances

• Applying an MPA to a regulated stock does not always improve stock status and sometimes causes population decreases (as in the scenario starting at MSY).

• Abundance in stocks with long larval dispersal distances will fare as well as or better than abundance for stocks with short larval dispersal distances when an MPA is implemented.

Page 16: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Conclusions: Catch and CPUE

• Catch and CPUE collapse when dispersal distances are short, regardless of initial stock state

• CPUE is a little more than ½ of CPUE at MSY conditions in all scenarios with an MPA

Page 17: Modeling MPAs in regulated fisheries: assessing the role of larval dispersal distance

Acknowledgements

• SAFS fellowship funding

• ARCS Foundation

• Other committee members: Andre Punt & Tim Essington

• Hilborn lab members, Punt lab members