Progress Reports: FY 2012, FY 2011
Extensive electronic and conventional tagging data sets exists for tuna species however the information available is not fully utilised in the tuna stock assessment models. The project outlined in this proposal aims to maximize the utilization of movement information contained in tagging data. A one-year work program is proposed that will integrate electronic and conventional tagging data into the stock assessment models used in the Pacific and Indian Oceans. This research program is based on the four key elements of the tagging data that could directly or indirectly inform stock assessment and management advice:
Stock assessments undertaken in 2012 are expected to benefit from this development thereby assisting RFMO with the sustainable management of tuna resources.
The main objective is to improve the available management advice for Regional Fishery Management Organizations (RFMOs), and others concerned with fisheries management, by enhancing the used of electronic and conventional tagging data in current stock assessment models for highly migratory species.
To improve the stock assessment models used in the Pacific Ocean (and in the Indian Ocean) a one-year work program is proposed that will integrate electronic and conventional tagging data into the stock assessment models. This research program is based on the four key elements of the tagging data that could directly or indirectly inform stock assessment and management advice:
SPC, NOAA and IATTC are also currently responsible for undertaking stock status assessments for the equatorial tuna species in the Pacific Ocean and have been at the forefront of developing and applying integrated stock assessment models. They are well placed to further develop these models to fully utilize the tagging data available for the management of tuna stocks in the Pacific Ocean
Whilst ADR estimates can be obtained by different methods the significant challenge of integrating the different spatial and temporal scales of the independent ADR estimates into block transfer rates remains. The project will address this issue by conducting an expert workshop on this topic which will develop the necessary method.
The results of these analyses will be presented to relevant RFMOs and scientific bodies and will be published in the scientific literature. The key expected outcomes of this part of the project will be improvements in management advice based on stock assessment models that will:
Funding for this project to be available late 2010.
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Principal Investigators |
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Dr. Simon Nicol |
Dr. Mark Maunder |
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Dr. Pierre Kleiber |
Collaborators: |
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