Mark N. Maunder, John R. Sibert, Alain Fonteneau, John Hampton, Pierre Kleiber, and Shelton J. Harley Problems with interpreting catch-per-unit-of-effort.

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Presentation transcript:

Mark N. Maunder, John R. Sibert, Alain Fonteneau, John Hampton, Pierre Kleiber, and Shelton J. Harley Problems with interpreting catch-per-unit-of-effort data to assess the status of individual stocks and communities: is integrated stock assessment, ecosystem modeling, management strategy evaluation, or adaptive management the solution?

The importance of appropriate interpretation and analysis of data “… by the illogic of the old paradigms … yet another randomized trial … was performed … and resulted in 25 more infant deaths …” Royal 1997

“…large predatory fish biomass today is only about 10% of pre- industrial levels.” Myers and Worm 2003

Pacific Ocean Tuna Catch Data By species By method By area Myers and Worm data

Spatial expansion of the longline fishery

Change in targeting: from albacore to bigeye Blue is total catch, green is Taiwan CPUE, red is Japan CPUE

CPUE is inconsistent with catch and population dynamics Blue is total catch, red is CPUE

One species dominates CPUE

More often than not community CPUE declines faster than abundance

Integrated stock assessment models Uses all data Determine if data is consistent Fishery versus environment Fishery impact by gear Use more information for longer predictions Estimate management quantities Determine yield efficiency of gear Investigate management options Can be combined to calculate community abundance

Is data consistent Catchability higher in the early period to describe rapid decline in CPUE

Fishery versus environment for yellowfin tuna in the EPO

Fishery Impact on EPO bigeye tuna

Relative abundance of bigeye tuna in the EPO

Estimate management quantities (how useful they are?)

Determine increase in yield by changing fishing methods: Yellowfin tuna in the EPO MethodMSY (`000 t) All285 Floating Object194 Unassociated243 Dolphin associated320 longline386

Predict effects of management

Abundance of tunas in the Pacific Ocean

Management of fish stocks Sustainable fisheries management is based on surplus production Surplus production increases as the abundance falls towards B MSY B MSY is often much less than half the unexploited level B MSY and MSY are dependent on many factors CPUE alone tells us nothing about the above

Management of communities and ecosystems Cannot maximize yield of two species caught simultaneously by the same gear because their productivities and catchabilities differ What would be the impact on the ecosystem if all commercially valuable stocks were fished at their single species MSY

Adaptive management, management strategy evaluation, and ecosystem models Adaptive management provides information for integrated stock assessments and has been used for yellowfin tuna in the EPO Management strategy evaluation can be used to compare integrated stock assessments to other approaches (e.g. raw CPUE). Operating model is often based on integrated stock assessment Multispecies and ecosystem models can be used to investigate how species interactions may influence single species integrated stock assessments and management

Conclusions Integrated stock assessment provides a much broader picture than simple CPUE Integrated stock assessment can provide many insights into managing a fishery Integrated stock assessment is not the answer to everything, other methods may provide alternative perspectives Management strategy evaluation provides a method to compare Integrated stock assessment with alternatives

The End