Sei Ichi SAITOH 1, 2 Robinson M. Mugo 1,3,

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1 Sei Ichi SAITOH 1, 2 Robinson M. Mugo 1,3, Mukti Zainuddin 4 and Fumihiro Takahashi 2 ssaitoh@salmon.fish.hokudai.ac.jp 1 Faculty of Fisheries Sciences. Hokkaido University 2 Green & Life Innovation, Inc. 3 Kenya Marine and Fisheries Research Institute 4 Faculty of Marine Science and Fishery, Hasanuddin University

2 Outline Introduction (Tuna Production) How to get Potential Fishing Zone Operational Fisheries Oceanography Commercial Fisheries Services (TOREDAS) VMS application for understanding fishing activities Global Warming Scenarios Concluding Remarks

3 Albacore Skipjack

4 10 3 Tuna catch Skipjack Tonnes Albacore Year

5 Skipjack tuna ranks 3 rd in catch volumes Anchoveta Alaska pollock Skipjack tuna Atlantic herring Blue whiting Chub mackerel Chilean J. mackerel Japanese anchovy Largehead hairtail Yellowfin tuna FAO, 2009 Million tonnes

6 Catch of skipjack tune in the western and central Pacific Catch(10 4 ) Purse seine Pole-and-line

7 Skipjack pole and line fisheries Miyojin-Suisan Kochi, Japan More ecological method MSC eco-label

8 Fisheries How to get PFZ Hot spots JAFIC DATA BASE NASA,RSS and AVISO Satellite RS Classification 1. Detection ArcGIS: Spatial analyst 2. Identification ArcGIS: Spatial analyst 3. Prediction ArcGIS: geostatistical analyst preferred environmental conditions Simple prediction map & contour map Environmental Probability map Prediction of habitat Hot spots map Potential habitat Hot spots TRMM/TMI AVHRR SST SeaWiFS Chl a AVISO SSHA Migration model

9 Detection of potential habitat Histogram high catch data (mean one SST Oceanographic variables Using preferred ranges Chl-a Simple prediction map Contour map Output map

10 Simple prediction map

11 Simple prediction map CPUE

12 Contour map

13 Relationship between CPUE and distance of contour lines of SST and chl a (Zainuddin et al., FO 2008)

14 Dynamics of albacore fishing ground in relation to the movement of ocean hot spots by contour map

15 Affect to Albacore PFZ Hot spots El Niño 1998 and La Niña 1999 Contour Map Jan-Jun 1998 Suitable Ocean Variables SST 20 SSC 0.3mgm -3 Jan-Jun 1999 PFZ La Niña Well developed High CPUE (Zainuddin et al., GRL 2004)

16 The interconnection: albacore fishery and environments

17 The interconnection: albacore fishery and environments Habitat hotspot

18 The interconnection: albacore fishery and environments Habitat hotspot Statistical model Habitat hot spot

19 Operational Fisheries Oceanography -Models -Technology (Observing/sampling) Research and Development -Raw data -Statistics -etc Operational Fisheries Oceanography -Measurements: systematic, long-term, routine -Interpretation of data: fast(near real-time) -Dissemination of results: rapid, e.g. internet -Products -Funding -Data USERS -Application Governments, Regulatory Authorities, Commercial Enterprises, Research Institutes

20 GPS Satellite Earth Observing Satellite TOREDAS Communication Satellite ICT Climate Change Potential Fishing Ground/Zone VMS Suitable Aquaculture Site Vessel Monitoring System

21 TOREDAS: start to fish G&LI Green & Life Innovation, Inc Traceable Operational Resources Environment Data Acquisition System

22 Overview of Information Transfer Communication satellite MODIS Database Analysis Internet WIDE- STAR(64Kbps) SUPERBIRD(6Mbps) JSAT(3Mbps) Inmarsat(64Kbps) GPS Display Overlay Measure WebTOREDAS(Land) Onboard TOREDAS (Offshore)

23 OnBoard TOREDAS G&LI Green & Life Innovation, Inc -Heavy Duty -Touch Panel -Water Proof

24 Distribution of Easy use satellite Information to Laptop PC onboard G&LI Green & Life Innovation, Inc Touch-panel

25 G&LI Green & Life Innovation, Inc

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27 Position Information Market Price TOREDAS Two-way Communication D D C C A A Fisheries Management Traceability (IC tag) VMS: Vessel Monitoring System

28 Skipjack tuna Northern migration off the east coast of Japan (Nihira, 1996)

29 A trajectory of skipjack tuna fishing boat (Sept Sept. 2009)

30 Definition of fishing ground knot (Mullowney and Dawe 2009) Day time (Sun rise - Sun set) Continuous Within 60 min. Over 10km from land (Saitoh et al., ICES JMS 2008)

31 Definition of fishing ground 10 8 Frequency( Speed(Knot (Saitoh et al., ICES JMS 2008)

32 Positions and speed: June 19 23, 2008 June 19, 2008 Start from port Speed(knot Time(hour) (Saitoh et al., ICES JMS 2008)

33 Positions and speed: June 19 23, 2008 June 20, 2008!!!!!!!!!!!!!! Speed(knot Time(hour) (Saitoh et al., ICES JMS 2008)

34 Positions and speed: June 19 23, 2008 June 21, 2008 Speed(knot Time(hour) (Saitoh et al., ICES JMS 2008)

35 Positions and speed: June 19 23, 2008 June 22, 2008 decide to return Speed(knot Time(hour) (Saitoh et al., ICES JMS 2008)

36 Positions and speed: June 19 23, 2008 June 23, 2008 Enter to port Speed(knot Time(hour) (Saitoh et al., ICES JMS 2008)

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47 Day of fishing = 366 / 25 months Fishing activities = 4064 / 25 months Mean fishing activities in a day = 11.1

48 Visit to TOREDAS user Photo by S. Matsumura

49 Fishing Activities of Skipjack Tuna Fishing Boats

50 Global Warming Scenarios DESIGN SKIPJACK 0.25 o GRIDDED SATELLITE 0.25 o ENFA BASE MODELS PREDICTIONS GLOBAL WARMING SCENARIOS SST VARIED USING HIRES MIROC ; 2050; 2100

51 Global Warming Scenarios DESIGN SKIPJACK 0.25 o GRIDDED SATELLITE 0.25 o ENFA BASE MODELS PREDICTIONS GLOBAL WARMING SCENARIOS SST VARIED USING HIRES MIROC ; 2050; 2100

52 Global Warming Scenarios DESIGN SKIPJACK 0.25 o GRIDDED SURFACE HABITAT ENFA BASE MODELS PREDICTIONS SATELLITE 0.25 o SUB SURFACE SURFACE HABITAT GLOBAL WARMING SCENARIOS SST VARIED USING HIRES MIROC ; 2050; 2100

53 Global Warming Scenarios FEB MAR APR MAY JUN JUL AUG SEP OCT NOV BASE LONG TERM PRED Predictions on global warming models using HIRES MIROC 3.2. Patterns show declining habitat quality as temperature rises & also some northward shift of high quality habitat.

54 Global Warming Scenarios

55 Concluding Remarks Multi sensor satellite remotely sensed data is applicable for Prediction of PFZ hotspots We demonstrate TOREDAS as implication of operational fisheries oceanography VMS is useful tool to understand not only fishing activities but also tuna migration patterns Global warming is likely to trigger migration of skipjack tuna to higher latitudes 1 2 months earlier than is observed today.

Impacts of climate change on the distribution of blue marlin (Makaira. nigricans) ) as inferred from data for longline fisheries in the Pacific Ocean

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