THE EXPERIENCE OF USING GIS TECHNOLOGY FOR STOCK ASSESSMENTS OF MARINE FISHES

Transcription

1 THE EXPERIENCE OF USING GIS TECHNOLOGY FOR STOCK ASSESSMENTS OF MARINE FISHES Oleg Bulatov, Georgiy Moiseenko (VNIRO, Moscow, Russia) XYIII PICES Annual Meeting Jeju, Republic of Korea, 29, 2009 O.A. Булатов, Г.С.Моисеенко Republic of Korea, October 29, X Всероссийская конференция

2 GOAL to assess the fishable biomass of main commercial marine fishes by use GIS technology

3 VESSELS DAILY REPORT (VDR) INCLUDE FOLLOW INFORMATION: SPECIES: WALLEYE POLLOCK, NORTH-EAST ARCTIC COD, GREENLAND HALIBUT DATE OF REPORT LATITUDE LONGITUDE TARGET SPECIES CATCH AMOUNT TYPE OF FISHING VESSELS (large and medium) TYPE OF FISHING GEARS(bottom and midwater) TIME OF THE FISHING OPERATION

4 SPATIAL CELLS ½ LATITUDE X 1 LONGITUDE STUDY AREA North Western Kamchatka Kamchatsko- Kuril

5 SPATIAL CELLS ½ LATITUDE X 2 LONGITUDE STUDY STUDY AREA AREA Spitsbergen Barents Sea террводы Norvegian Норвегии waters сетка полигонов

6 SPECIES REGION YEARS NUMBER OF VDR Walleye pollock The Sea of Okhotsk ,000 Arctic Cod Barents Sea ,000 Greenland Halibut Barents Sea >2,400

7 P Qi ( q P - is the fishable biomass, tons; Q(i) - is the spatial cell square (i), km²; x(i) - is the mean actual catch in each cell (i), t/h of trawling; q - is the area of trawling (determined through multiplication of the trawl horizontal opening by the distance covered), km² k - is the catchability coefficient (0,2 for Greenland halibut, 0,3 for Arctic cod and 0,4 for Walleye pollock) Areas of spatial cells were determined with the GIS software ArcView 3.2 (ESRI) The monthly biomass was found as the arithmetic mean biomass for 15-days (cod, GH) and 10-days (walleye pollock) The annually biomass was found as the arithmetic mean biomass for each month (Walleye Pollock-January-April, Arctic Cod-April-August, Greenland Halibut-September-December) x n i i = 1 k = );

8 DENSITY DISTRIBUTION OF WALLEYE POLLOCK IN MARCH TON/HOUR

9 DENSITY DISTRIBUTION OF ARCTIC COD CATCHES IN Barents Sea Barents Sea th July 1-15th July Barents Sea Barents Sea th July th July

10 DENSITY DISTRIBUTION OF GREENLAND HALIBUT IN SEPTEMBER-DECEMBER Norvay Spitsbergen Barents Sea Russia Spitsbergen Barents Sea Russia 1-15 th Norvay September 1-15 th October Norvay Spitsbergen Barents Sea Russia 1-15 th November Spitsbergen Barents Sea Russia Norvay 1-15 th December

11 FREEQUENCY DISRIBUTION OF WALLEYE POLLOCK AND ARCTIC COD IN COMMERCIAL CATCHES (logarithm scale, ton/hour) WALLEYE POLLOCK ARCTIC COD

12 FISHABLE Оценка запаса BIOMASS минтая OF в Охотском POLLOCK море IN в THE 1999 SEA году OF OKHOTSK OBTAINED BY GIS METHOD, ,0 8000,0 FISHABLE Оценка BIOMASS биомассы OF минтая POLLOCK в Камчатско-Курильской IN KURIL-KAMCHATKA KAMCHATKA REGION OBTAINED подзоне BY в 1999 GIS г. METHOD, ,0 7000,0 6000,0 2000,0 тыс. тонн 5000,0 4000,0 3000,0 min ave max тыс. тонн 1500,0 1000,0 min ave max 2000,0 500,0 1000,0 0, month месяц 0, месяц month Оценка биомассы минтая в Западно-Камчатской FISHABLE BIOMASS OF POLLOCK IN THE WEST подзоне в 1999 г. KAMCHATKA REGION OBTAINED BY GIS METHOD, 1999 Оценка биомассы минтая в Северо-Охотоморской подзоне в 1999 г. FISHABLE BIOMASS OF POLLOCK IN THE NORTH REGION OBTAINED BY GIS METHOD, ,0 5000,0 тыс. тонн 1600,0 1400,0 1200,0 1000,0 800,0 600,0 400,0 200,0 min ave max тыс. тонн 4500,0 4000,0 3500,0 3000,0 2500,0 2000,0 1500,0 1000,0 500,0 min ave max 0, month месяц 0, month месяц

13 FISHABLE BIOMASS OF ARCTIC COD IN BARENTS SEA OBTAINED BY GIS METHOD, 2007 Date, month

14 900,0 FISHABLE BIOMASS OF GREENLAND HALIBUT IN BARENTS SEA OBTAINED BY GIS METHOD 800,0 800,0 700,0 700,0 600,0 600,0 500, ton 500,0 400, ton minimum average 400,0 maximum minimum average maximum 300,0 300,0 200,0 200,0 100,0 100, , date 0, date 700,0 600,0 600,0 500,0 500,0 400, ton 400,0 300, ton minimum 300,0 average maximum minimum average maximum 200,0 200,0 100, , , date 0, date

15 BIOMASS OF WALLEYE POLLOCK IN THE SEA OF OKHOTSK, (THOUS.T) FISHABLE BIOMASS, GIS METHOD (Bulatov, Moiseenko, 2008) SPAWNING BIOMASS, EGGS SURVEY (Avdeev et al., 2008) TOTAL BIOMASS, TRAWL SURVEYS (TINRO-Center data)

16 BIOMASS OF WALLEYE POLLOCK IN THE SEA OF OKHOTSK, thous. t FISHABLE BIOMASS, GIS METHOD (Bulatov, Moiseenko, 2008) FISHABLE BIOMASS, DYNAMIC MODEL(Babayan et al., in press) TOTAL BIOMASS, SYNTHESIS (KamchatNIRO data)

17 ASSESSMENT OF FISHABLE BIOMASS OF WALLEYE POLLOCK IN THE NORTH OF OKHOTSK SEA BY DIFFERENT METHODS (thousands ton) DYNAMIC MODEL (BABAYAN, VASILYEV DATA) GIS (AUTHORS DATA) XSA (MAGADANNIRO DATA) Bulatov, Moiseenko,, 2008 Voprosy Rybolovstva, Vol.9, 4 4 (36)

18 STOCK ASSESSMENT BIOMASS OF COD OBTAINED BY GIS AND XSA, THOUS.T GIS (Bulatov et al., 2008) XSA (ICES AFWG,2008) FSB = 2,662 mil.t FSB = 1,526 mil.t

19 Greenland Halibut biomass value obtained by XSA, GIS and trawl surveys data FSB = 300 thous.t FSB = 163 thous.t FSB = 119 thous.t

20 CATCHABILITY COEFFICIENT VALUES ACCORDING TO THEORETICAL AND OBSERVED APPROACHES theoretical observed average

21 STOCK ASSESSMENT FISHABLE BIOMASS OF ARCTIC COD ACCORDING GIS-1 1 AND GIS-2 2 VERSIONS, thous.. tons

22 Conclusions Comparison of GIS with trawl and ichthyoplankton surveys demonstrated that the results of stock assessment biomass were very close. Comparison of GIS with analytical approaches XSA and TISVPA shows that the biomass estimate for GIS is much larger. However, the comparison of GIS with analytical approaches dynamic model and SYNTHESIS, shows that the results of stock assessment biomass were very close. The improved GIS version,, which includes catchability coefficient based on the group size of cod, shows higher accuracy in results compare to the 1-st 1 version of GIS. Applying the GIS technology allows us to do the stock assessment estimates not only for Walleye pollock,, Arctic cod and Greenland halibut, but also for other commercial fishes.

23 THANK YOU FOR YOUR ATTENTION