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Data evaluation of data limited stocks: Dab, Flounder, Witch, Lemon Sole, Brill, Turbot and Horse mackerel Tessa van der
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Data evaluation of data limited stocks: Dab, Flounder, Witch, Lemon Sole, Brill, Turbot and Horse mackerel Tessa van der Hammen & Jan Jaap Poos Report number C110/12
IMARES
Wageningen UR
(IMARES - Institute for Marine Resources & Ecosystem Studies)
Client:
Ministry of EL&I Attn. Henk Offringa PO box 20401 2500 EK Den Haag
BAS code: 12.04.001.036
Publication date:
10 oktober 2012
IMARES is:
an independent, objective and authoritative institute that provides knowledge necessary for an integrated sustainable protection, exploitation and spatial use of the sea and coastal zones;
an institute that provides knowledge necessary for an integrated sustainable protection, exploitation and spatial use of the sea and coastal zones;
a key, proactive player in national and international marine networks (including ICES and EFARO).
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A_4_3_2-V12.3
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Contents Contents................................................................................................................... 3 Summary ................................................................................................................. 4 1
Introduction ..................................................................................................... 4
2
Assignment ...................................................................................................... 4
3
Methods .......................................................................................................... 5
4
Dab ................................................................................................................ 8
5
European Flounder .......................................................................................... 17
6
Witch Flounder ............................................................................................... 21
7
Lemon Sole .................................................................................................... 25
8
Brill .............................................................................................................. 29
9
Turbot ........................................................................................................... 33
10
Horse mackerel .............................................................................................. 37
11
Conclusions and Interpretation ......................................................................... 42
References .............................................................................................................. 45
Appendix A
48
Appendix B
50
Appendix C
57
Appendix D
58
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Summary Several commercially important demersal fish stocks for the North Sea fisheries are classified by ICES (International Council for the Exploration of the Sea) as “data limited” stocks, which are stocks for which the data are insufficient to perform a full analytical assessment and forecast (ICES 2012b). Until 2012 for most of these ‘data-limited’ stocks , there was no quantitative management advice that is based on the status of the stock, because the status is unknown. In this report catch per unit of effort (CPUE) indices, spatial distributions, length frequencies and agelength relationships are analysed for 7 species that have commercial importance for Dutch fisheries: dab, flounder, witch flounder, lemon sole, brill, turbot and North Sea horse mackerel. The data in this report may be used in future for catch advice by the International Council for Exploration of the Sea (ICES).
1
Introduction
Several commercially important fish stocks for the North Sea fisheries are classified as “data limited” stocks in the light of the EU policy paper on fisheries management (17 May 2010, COM(2010) 241). For stocks in this category, there is no STECF (Scientific, technical and economic committee for fisheries) management advice, due to the unknown status of the stocks. The reason for this is that the data and information available to perform analytical stock assessments are highly uncertain or lacking. For species of these stocks, the European Commission adjusts the TAC (Total Allowable Catch) towards recent catch levels, but the TAC should not be changed by more than 15% per year. Alternatively, if Member States can develop an implementation plan to provide advice within a short time, the European Commission can set the TAC on the basis of that plan.
Table 1-1 Data limited stocks of economic importance for the Netherlands Area
Species
ICES advice for 2012
North Sea
Turbot
Do not increase catches
Brill
Do not increase catches
Dab
Do not increase catches
Flounder
Do not increase catches
Lemon sole
Do not increase catches
Witch flounder
Reduce catches
Horse mackerel
Reduce catches
2
Assignment
The Ministry of EL&I asked to collate and analyse the data on these species in order to provide an assessment of the status of the category 11 species (Table 1-1). These analyses can be used by the Ministry for giving advice. Also, the analyses can be used by ICES for its advice on these data limited stocks.
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3
Methods
Several data sources were used in the analyses described below. This included data from 2 surveys and data from the commercial fleet from EU logbooks and from market sampling. Each data source is shortly described below.
3.1
Survey Data
BTS An extensive description of the Beam Trawl Survey (BTS) can be found at http://datras.ices.dk/Documents/Manuals/Manuals.aspx. In short, the Dutch offshore beam trawl survey started in 1985 by the research vessel “Isis”. The main goal of the survey was to create fisheries independent indices for plaice and sole in the South‐eastern North Sea to be used in the ICES North Sea demersal working group (WGNSSK). Because the focus of the survey was on flatfish, the gear used was the beam trawl. Although the first focus was on plaice and sole, all fish species were measured. Otoliths have been collected for plaice, sole, dab, brill, turbot and cod since 1985. These otoliths can be used to determine the age of fish. Some otoliths are stored and the ages have not been read (see Appendix D for the number of otolith age readings per species per year). In 1996, the research vessel “Tridens” started carrying out a beam trawl survey in the Central North Sea (ICES 2009: WGBEAM Manual). Figure 3-1 shows the covered area of the BTS for both research vessels and the number of years with at least one haul in a specific rectangle. The BTS survey data used in this report were extracted from the ICES database DATRAS (http://datras.ices.dk/Data_products). This DATRAS database is publicly available. However, not all biological data such as age, weight and length measurements were added to the DATRAS database. Therefore we used data from IMARES Frisbe database for analyses on biological data.
Figure 3-1 Number of years sampled by ICES rectangle in the BTS. Left: research vessel Isis, right: research vessel Tridens. Source: DATRAS Report number C110/12
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IBTS Q1 and Q3 The North Sea International Bottom Trawl survey (IBTS) survey aims to collect data on the distribution, relative abundance and biological information on a range of round- and flatfish species in ICES area IIIa and IV and VIId. The survey is executed during day-time and a bottom trawl is used (GOV: Grand Ouverture Verticale). A CTD (conductivity, temperature and depth) sampler was deployed at most trawl stations to collect temperature and salinity profiles. Age data are collected for cod, haddock, whiting, saithe, norway pout, herring, mackerel, and sprat, and a number of additional species (Appendix B). The survey takes place in quarter 1 (IBTS Q1) and quarter 3 (IBTS Q3). At present, seven countries participate in the quarter 1 survey: Sweden, Denmark, Norway, Scotland, France, Netherlands and Germany. Six countries participate in the quarter 3 survey: Denmark, Germany, Sweden, Norway, England and Scotland (ICES 2011, IBTSWG). The IBTS covers most of the North sea (Figure 3-2). IBTS survey data used in this report were extracted from the ICES database DATRAS (http://datras.ices.dk/Data_products). In quarter 1 most rectangles were sampled and present in DATRAS for 30-45 years, in quarter 3 most rectangles were sampled for 20 years (Figure 3-2, ICES 2011, IBTSWG). Age, weight and length measurements were not added to the DATRAS database by most countries.
Figure 3-2 Number of years sampled by ICES rectangle by the research vessels IBTS quarter 1 (left) and 3 (right). Source: DATRAS
3.1.1
CPUE estimation
BTS The CPUE is calculated as the number per hectare. Isis rectangles were included in the analysis only if no more than 5 (out of 25) years were missing in the time series (see Appendix A). Tridens rectangles were included if no more than 3 (out of 16) years were missing. For each year and vessel, the hauls were first averaged per selected ICES rectangle and consequently over the rectangles.
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IBTS The CPUE is calculated as the number per hour. ICES rectangles were included in the analysis only if no more than 3 (out of 20) years were missing in the time series (see Appendix A). For each year the hauls were first averaged per selected ICES rectangle and consequently over the rectangles.
3.2
Commercial fisheries data
Landings and effort data from the commercial fleet were obtained from the EU logbooks; market category composition of landings was obtained from the auction data (sale slips); and a characterisation of the relation between size and age was derived from age-length sampling data. The methods for deriving landings per unit effort indices from the commercial data are described by Van der Hammen et al. (2011) in a report on data availability for the evaluation of stock status of species without catch advice. EU logbook data Official EU logbook data of the entire Dutch fleet are maintained by the NVWA (formerly known as the General Inspection Service, AID). IMARES has access to these logbooks and stores the data in a database called VISSTAT. EU logbook data contain information on:
landings (kg): by vessel, trip, ICES statistical rectangle and species;
effort (days absent from port): by vessel, trip and ICES statistical rectangle, calculated from trip departure and arrival time; and
vessel information: length, engine power and gear used.
Logbook data are available of the entire Dutch fishing fleet and of foreign vessels landing their catches in the Netherlands. Auction data: landings by market category Auction data cover both the total Dutch fishing fleet and foreign vessels landing their catches on Dutch auctions. These data are also stored in VISSTAT and contain information on:
landings by market category (kg): by vessel, trip (landing date) and species
Market sampling data In the IMARES market sampling data on length, age, sex and weight are collected for several commercially important species. This is often done on an irregular basis and for several species many years are missing (see Appendix B). In recent years, sampling was executed more regularly. Discard sampling In the IMARES discard sampling, data on length, age, sex and weight are collected for several commercially important species (see Appendix B).
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4
Dab
Dab (Limanda limanda) is an abundant, widespread demersal species on the Northeast Atlantic shelf and distributed from the Bay of Biscay to Iceland and Norway; including the Barents Sea and the Baltic. Its centre of distribution in the North Sea is located in the southern North Sea (Lozán 1988; Daan et al. 1990, ICES 2010). Their diet consists mainly of crustaceans and echinoderms (Piet et al. 1998).
4.1
BTS
The BTS Isis and Tridens surveys in autumn catch substantial numbers of dab as a result of it being a very abundant species, and the BTS gear being designed to catch flatfish (Figure 4-1). There is considerable variability in the numbers of dab per hectare in BTS hauls for both vessels (Figure 4-1). The average BTS Isis CPUE is higher than the average CPUE in the BTS Tridens for almost all years in the dataset (Figure 4-2). A combined index for the two survey index series is available since 1996. From 1996 onwards, the combined index decreased until 2005, and increased since. In the BTS Tridens and the combined time-series, the index in 2011 has the highest observed value. The BTS survey catches of dab are mainly done in the South-eastern part of the North Sea (Figure 4-3). In addition, dab is caught in the Moray Firth. As a result, most of the North-eastern hauls of the BTS Tridens catch less dab (< 100 n/ha). Plotting the spatial distribution of the CPUE series for the BTS surveys since 1995 reveals no distinctive changes over time (Figure 4-4).
Figure 4-1 box and whisker plot of number of dab per hectare per year and ICES rectangle for the research vessels Isis (left) and Tridens (right). The plot shows the lower quartile (underside of the small blue boxes), median (black dot), upper quartile (upper side of the blue box). The whiskers are defined as the greatest value of the data points excluding outliers. The blue dots are outliers, which are data points that are no more than 1.5 times the length of the blue box away from the box.
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Figure 4-2 Dab CPUE series: number caught per hectare. ‘Combined’ includes both surveys.
Figure 4-3 Mean CPUE (nha) for the period 2009-2011 per rectangle and vessel. Left: Isis, right: Tridens.
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Figure 4-4 mean CPUE (number per hectare) for 5 year periods. Time periods: 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011
4.1.1
Length distribution and growth
The main length classes caught in the BTS surveys are between 8 and 25 cm. Visual inspection does not reveal a shift in length frequency distribution in the period from 1987-2011 (Figure 4-6). The relationship between the length and weight of a fish is used for two main purposes. First, the relationship is used to predict the weight from the length of a fish. Second, the parameter estimates of the relationship for a sub-selection of fish can be compared to average parameters or parameter estimates from previous years, or parameter estimates among groups of fish to identify the relative condition of the population. Length-weight relationships are estimated by fitting the equation W=a*Lb to the data, where W is weight, L is length and a and b are constant parameters that differ per species.
The length-weight relationship for dab is very similar for males and females (Figure 4-6). The combined estimate for a in the length-weight relationship is 0.0095, and the estimate for b is 3.01 (Figure 4-6, Appendix C). Growth (age length relationships) are estimated by fitting the Von Bertalanffy growth curve, L = Linf (1-eK(t-t0)
) to the age-length data, where L is length, t is age, Linf is the ultimate length, K is the growth
coefficient and t0 is the time at which in theory the fish has a weight of 0.
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For dab, as is common in flatfish species, the growth of the two sexes is different. The females grow larger than the males, with Linf for females being 25.9 cm and Linf for males being 21.5 cm (Figure 4-6, Appendix C).
Figure 4-5 CPUE (number per hectare) per length class over time. Time periods: 1985 = 1987-1989, 1990 = 1990-1994, 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011
Figure 4-6 Left: Length Weight relationship for DAB (source FRISBE-BTS). Red females (a=0.0103, b=2.98), blue: males (a=0.0071, b=3.10). Black line: combined (a=0.0095, b=3.01). Right: Length age relationship for DAB (source FRISBE-BTS). Red: females (Linf=25.89, K= 0.50, t0=-0.46), blue: males (Linf=21.48, K= 0.41, t0=-1.31). Lines: von Bertalanffy fit.
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4.2
Commercial Data
Almost all (~90%) dab is landed in only one market category (2, 23-30 cm) and for that reason is not sorted (Appendix D, Table D-1, Table D-2). Therefore, for this document no distinction between market categories was made. Tables of the data are listed in Appendix D. 4.2.1
Fishing Effort
Engine power has an effect on LPUE. With higher engine power, a vessel can trawl heavier gear or fish at higher speed, which likely results in higher landing rates. The majority of the Dutch beam trawl fleet consists of vessels with engine powers around 1471 kW (=2000 hp). The analyses have been restricted to the large cutters with engine power above 221 kW. To correct the effort for engine power, data were standardized to a vessel with a 1471 kW engine by applying the following relationship (Rijnsdorp et al. 2006, Quirijns et al. 2008):
Effort(1471) Effort * kW 1471
where L are landings in kilograms; Effort is effort in days at sea; kW is engine power in kW; and β is a constant that varies between species. As the value of β for dab is unknown, β is set at 1. Figure 4-7 shows that effort of TBB > 221 kW has more than halved in the period 1995 -2011. This decrease is the result of fisheries management, low profitability in the fleet and decommissioning. In the last 4 years, the level of fishing effort has remained relatively stable at a level of approximately 16 000 days at sea, adjusted to the fishing efficiency of a 1471 kW vessel.
Figure 4-7 “Adjusted” Effort (days at sea per 1471 kW vessel) over time by Dutch large beam trawlers (< 221 kW).
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Figure 4-8 Annual fishing effort by the Dutch large beam trawling fleet operating in the North Sea. Source: Visstat.
4.2.2
Landings
Dab landings fluctuate between 6086 tonnes in 1999 and 2856 tonnes in 2009 (Figure 4-9).
Figure 4-9 Dab landings by Dutch trawlers (TBB > 221 kW)
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Figure 4-10 Average Dab landings (tonnes) per year per ICES rectangle (average 2009-2011) for large Dutch beam trawlers (>221 kW).
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4.2.3
LPUE
This paragraph describes trends in Landings per Unit Effort (LPUE). Data from large Dutch trawlers are included. In the Dutch fleet average LPUE of dab is relatively stable since 1998, fluctuating around 175 kg per day at sea (Figure 4-11). No real interpretable cohort signal can be found in the age structured LPUE time series. (Figure 4-12).
Figure 4-11 Dab LPUE of Dutch beam trawlers. Source: VISSTAT.
Figure 4-12 Age composition of Dab LPUE. Left in kg per day, right in percentage. Age and length data from 2008 are missing, because in 2008 no age sampling (market sampling) was done (Appendix B, Table B1).
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Figure 4-13 Mean LPUE per ICES rectangle (average 2009-2011). Source: Visstat
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European Flounder
European Flounder (Platichthys flesus) occurs in the Eastern Atlantic in coastal and brackish waters including the white sea, black sea and the Mediterranean Sea. the smaller size classes of flounder feed mainly on polychaetes, the larger size classes feed on crustaceans (Piet et al 1998).
5.1
BTS
Flounder occurs mainly in coastal areas. For this reason it is caught regularly by the BTS Isis, whereas the BTS Tridens barely catches flounder (Figure 5-2). Data from the Isis show considerable variability in CPUE, ranging from 0 to over 60 individuals per hectare (Figure 5-1, the black dots show the medians and the blue dots show the outliers). The CPUE index for the Isis is available since 1987 and shows high numbers per hectare in the last two years (Figure 5-2). The average catch probability over the time series by the Isis is 20%, which means that in one out of five hauls flounder is caught. The catch probability shows a gradual increase since 1987 (Figure 5-2). Plotting the spatial distribution of the CPUE series for the BTS Isis surveys shows high variability over time, but does not show an obvious change in the spatial distribution (Figure 5-3).
Figure 5-1 box and whisker plot of number of flounder per hectare per year and ICES rectangle for the research vessels Isis (left) and Tridens (right). The plot shows the lower quartile (underside of the small blue boxes), median (black dot), upper quartile (upper side of the blue box). The whiskers are defined as the greatest value of the data points excluding outliers. The blue dots are outliers, which are data points that are no more than 1.5 times the length of the blue box away from the box.
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Figure 5-2 Flounder CPUE series. Left: number caught per hectare. Right: catch probability: the chance that a flounder is caught. For each year and survey, the hauls were first averaged per selected ICES rectangle and consequently over the rectangles. ‘Combined’ includes both surveys.
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Figure 5-3 mean CPUE (number per hectare) for 5 year periods. Time periods: 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011.
5.1.1
Length distribution and growth
Especially in the period around 2010, many small individuals of 3 to 8 cm were caught by the Isis. This can bean indication of strong recruitment. Overall, the length distribution is variable and does not show a clear trend (Figure 5-4). The length-weight relationship is similar for males and females (Figure 5-5). The combined estimate for a in the LW relationship W=aLb is 0.012, and the estimate for b is 2.98 (Figure 5-5). The growth of the two sexes is different, as is common in flatfish species. The females grow larger than the males, with the estimated Linf for females being 44.9 cm and Linf for males 35.7 cm (Figure 5-5, Appendix C). Do note that otolith sampling and reading in the BTS started only recently, resulting in a small amount of data points (Figure 5-5). The extreme difference in estimated length for small individuals is likely the result of a lack of data, rather than differences in growth.
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Figure 5-4 CPUE (number per hectare) per length class over time. Left: equal y-axis scales, right: variable scales. Time periods: 1985 = 1987-1989, 1990 = 1990-1994, 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011
Figure 5-5 Left: Length Weight relationship for European flounder (source FRISBE-BTS). Red: females (a=0.016, b=2.89), blue: males (a=0.024, b=2.75). Black line: combined (a=0.012, b=2.98). Right: Length age relationship for European flounder (source FRISBE-BTS). Red: females (Linf = 44.87, K = 0.27, t0 = 2.58), blue: males (Linf = 35.67 , K = 0.73, t0 = -0.16). Lines: von Bertalanffy fit.
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Witch Flounder
Witch flounder (Glyptocephalus cynoglossus) is common in the northern North Sea, west of the British Isles, in Icelandic waters and along the North American east coast. This species is mainly found on soft bottoms, mostly clay, but in some cases on clean sandy bottoms (Molander, 1935, in ICES 2012). In the North Sea, witch flounder live at depths between 100 and 200 meters primarily in the Norwegian trench and in the northern parts of the North Sea. The main diet consists of crustaceans, polychaetes, brittle stars and fishes.
6.1
BTS
The BTS Isis catches virtually no witch flounder (Figure 6-1, Figure 6-2). The BTS Tridens survey catches some witch flounder (Figure 6-1, Figure 6-2), mainly in its north-western sampling area (Figure 6-3). The combined survey index fluctuates without a clear trend (Figure 6-2). The spatial distribution of witch flounder shows a an increase in the southern range (ICES rectangles 40F0-40F2) in the last time period (Figure 6-4).
Figure 6-1 box and whisker plot of number of witch flounder per hectare per year and ICES rectangle for the research vessels Isis (left) and Tridens (right).
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Figure 6-2 Witch flounder CPUE series. Left: number caught per hectare. Right: catch probability: chance that witch flounder is caught in the survey. ‘Combined’ includes both surveys.
Figure 6-3 Mean CPUE (nha) for the period 2009-2011 per rectangle (Tridens).
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Figure 6-4 mean CPUE (number per hectare) for 5 year periods. Time periods: 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011.
6.1.1
Length and growth
In the period around 1995 and 2000 relatively many small individuals were caught by the Tridens. Overall, the length distribution is variable and does not show a clear trend (Figure 6-5). The lengthweight relationship is similar for males and females (Figure 6-6). The combined estimate for a in the LW relationship W=aLb is 0.0020, and the estimate for b is 3.33 (Figure 6-6, Appendix C). Otholith sampling and age reading has not been done for witch flounder.
Figure 6-5 CPUE (number per hectare) per length class over time. Time periods: 1985 = 1987-1989, 1990 = 1990-1994, 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011.
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Figure 6-6 Length Weight relationship for witch flounder (source FRISBE-BTS). Red females (a=0.0024 , b=3.28) , blue: males (a=0.0031, b=3.19). Black line: combined (a=0.0020, b=3.33).
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Lemon Sole
Lemon sole (Microstomus kitt) occurs in the Northeast Atlantic from the Bay of Biscay to the White Sea and off Iceland. Lemon sole mainly feeds on polychaetes (Fishbase).
7.1
BTS
Lemon sole is caught frequently by the BTS Isis and BTS Tridens. CPUE ranges between 0 to around 55 individuals per hectare (Figure 7-1). The CPUE index for the Isis shows an moderate increase in lemon sole catches, the BTS Tridens is available since 1996 and shows a stronger increase (Figure 7-1). The probability of catching lemon sole shows similar increasing trends for both the Isis as the Tridens (Figure 7-2). Plotting the spatial distribution of the CPUE series for the BTS surveys indicates an offshore move of the species: both in the BTS-ISIS and the BTS-Tridens (Figure 7-4).
Figure 7-1 box and whisker plot of number of lemon sole per hectare per year and ICES rectangle for the research vessels Isis (left) and Tridens (right).
Figure 7-2 Lemon sole CPUE series. Left: number caught per hectare. Right: catch probability. ‘Combined’ includes both surveys. Report number C110/12
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Figure 7-3 Mean CPUE (nha) for the period 2009-2011 per rectangle and vessel. Left: Isis, right: Tridens.
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Figure 7-4 mean CPUE (number per hectare) for 5 year periods. Time periods: 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011.
7.1.1
Length distribution and growth
Both the BTS Tridens and the Isis indicate a decreasing trend in the average length in the catch (Figure 7-5). In the Tridens, the CPUE has increased over all length classes. The length-weight relationship is similar for males and females (Figure 7-6). The combined estimate for a in the LW relationship W=aLb is 0.0077, and the estimate for b is 3.08 (Appendix C). The growth of the two sexes differs: the females grow larger than the males, with Linf for females being 29.8cm and Linf for males 26.11cm (Figure 7-6, Appendix C).
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Figure 7-5 CPUE (number per hectare) per length class over time. Time periods: 1985 = 1987-1989, 1990 = 1990-1994, 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011
Figure 7-6 Left: Length-Weight relationship for lemon sole (source FRISBE-BTS). Red: females (a=0.0098, b=3.02), blue: males (a=0.0077, b=3.07). Black line: combined (a=0.0077, b=3.08). Right: length-age relationship (source FRISBE-BTS). Red: females (Linf=29.83, K= 0.39, t0=-0.85), blue: males (Linf=26.11, K= 0.37, t0=-1.35). Lines: von Bertalanffy fit.
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Brill
The biogeographical range of brill (Scophthalmus rhombus) extends from the Mediterranean and North Atlantic Ocean in the south of the Irish Sea, North Sea, Skagerrak and Kattegat in the north. Brill is a demersal species that usually lives in sandy habitat and can reach a maximum length of 75 cm. Spawning is between March and August. Juvenile brill lives in the shallow coastal areas during the first two years, after which it moves to deeper water. Brill is a piscivorous species (from Teal and van Keeken 2011).
8.1
BTS
The BTS Isis survey in autumn often catches brill in low numbers, whereas the BTS Tridens only occasionally catches brill (Figure 8-1). The number caught per hectare lay between 0 and just above 3. Neither the CPUE in number per hectare nor the probability of catching brill in the Isis has changed much in the time-series. The highest average CPUE in the time-series is around 0.6 brill per hectare by the Isis in 1992 and 1993 (Figure 8-2). The Tridens has a low probability of catching brill. Although the combined index (in numbers per ha) shows an increase since 2007 (Figure 8-2) this increase is smaller than the inter-annual variation in the time series. The BTS survey catches brill primarily in the Dutch and Danish coastal areas (Figure 8-3). Plotting the spatial distribution of the CPUE series for the BTS surveys since 1995 reveals no distinctive changes in its distribution over time (Figure 8-4).
Figure 8-1 box and whisker plot of number of brill per hectare per year and ICES rectangle for the research vessels Isis (left) and Tridens (right).
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Figure 8-2 Brill CPUE series. Left: number caught per hectare. Right: probability per haul. ‘Combined’ includes both surveys.
Figure 8-3 Mean CPUE (nha) for 2009:2011 per rectangle and vessel.
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Figure 8-4 mean CPUE (number per hectare) for 5 year periods. Time periods: 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011
8.1.1
Length distribution and growth
The main length classes caught in the BTS-Isis surveys are between 20 and 40 cm. Overall, the length distribution does not show a clear trend, which is probably caused by the low occurrences of brill catches (Figure 8-5). The length-weight relationship is very similar for males and females (Figure 8-6). The combined estimate for a in the LW relationship W=aLb is 0.014 and the estimate for b is 2.99. Age readings for brill in the BTS are available from 2001 (Appendix B). The females grow larger than the males, with Linf for females being 56.6 cm and Linf for males 38.8 cm (Figure 8-6, Appendix C). Brill is a fast growing species that reaches large sizes (fishbase indicates Linf ≈ 75 cm). The large difference between the Linf estimated from the BTS survey samples and the fishbase estimate may result from the low towing speed of the BTS (4 knots).This low towing speed reduces the catchability for larger specimens. This lack of large specimens in the sample likely causes a bias in the estimated growth curves.
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Figure 8-5 CPUE (number per hectare) per length class over time. Time periods: 1985 = 1987-1989, 1990 = 1990-1994, 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011
Figure 8-6 Left: Length-weight relationship for brill (source FRISBE-BTS). Red females (a=0.016, b=2.97) , blue: males (a=0.013, b=3.01). Black line: combined (a=0.014, b=2.99). Right: length-age relationship (source FRISBE-BTS). Red: females (Linf=56.62 , K= 0.32, t0=-1.19), blue: males (Linf=38.84, K= 0.59, t0=-0.94). Lines: von Bertalanffy fit.
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9
Turbot
The geographical range of turbot extends from the Mediterranean and North Atlantic Ocean in the south to the Irish Sea, North Sea, Skagerrak and Kattegat in the north. Turbot is a demersal boreal species that lives in sandy and rocky habitat. Turbot spawns between April and August at 10-80 meters depth. Like brill, turbot is a piscivorous flatfish species (source: Teal and van Keeken 2011).
9.1
BTS
The BTS Isis survey in autumn frequently catches turbot in low numbers, whereas the BTS Tridens only occasionally catches turbot (Figure 9-1). The number caught per hectare in a rectangle lay between 0 and just above 8. Neither the CPUE in number per hectare nor the probability of catching turbot in the Isis has changed much in the time-series. The highest average number in the time-series are around 1 turbot per hectare by the Isis between 1990 and 1994 and in 2000 (Figure 9-2). The Tridens has a low probability of catching turbot over the whole time series, but similar to brill, the trend seems to be upwards (Figure 9-2). The BTS survey catches turbot primarily in the Dutch and Danish coastal areas (Figure 9-3). Plotting the spatial distribution of the CPUE series for the BTS surveys since 1995 reveals no distinctive changes in its distribution over time (Figure 9-4).
Figure 9-1 box and whisker plot of number of turbot per hectare per year and ICES rectangle for the research vessels Isis (left) and Tridens (right).
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Figure 9-2 Turbot CPUE series. Left: number caught per hectare. Right: probability per haul. For each year and survey, the hauls were first averaged per selected ICES rectangle and consequently over the rectangles. ‘Combined’ includes both surveys.
Figure 9-3 Mean CPUE (nha) for the period 2009-2011 per rectangle by research vessel Isis.
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Figure 9-4 mean CPUE (number per hectare) for 5 year periods. Time periods: 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011.
9.1.1
Length distribution and growth
The main length classes caught in the BTS-Isis surveys are between 15 and 40 cm. Overall, the length distribution does not show a clear trend, which is probably caused by the low occurrences of turbot catches (Figure 8-5). The length-weight relationship is very similar for males and females (Figure 8-6). The combined estimate for a in the LW relationship W=aLb is 0.014 and the estimate for b is 2.99 (Appendix C). Age readings for brill in the BTS are available from 2001 (Appendix B). The females grow larger than the males, with Linf for females being 56.62 cm and Linf for males 38.84 cm (Figure 8-6, Appendix C). Like brill, turbot is a fast growing species that reaches large sizes (fishbase indicates Linf ≈ 100 cm). The large difference between the Linf estimated from the BTS survey samples and the fishbase estimate may result from the low towing speed of the BTS (4 knots).This low towing speed reduces the catchability for larger specimens. This lack of large specimens in the sample likely causes a bias in the estimated growth curves.
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Figure 9-5 CPUE (number per hectare) per length class over time. Time periods: 1985 = 1987-1989, 1990 = 1990-1994, 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011
Figure 9-6 Left: Length weight relationship for turbot (source FRISBE-BTS). Red females (a=0.013, b=3.11) , blue: males (a=0.022, b=2.95). Black line: combined (a=0.012, b=3.13). Right: length-age relationship (source FRISBE-BTS). Red: females (Linf=54.74 , K= 0.39, t0=-0.39), blue: males (Linf=36.71, K= 0.56, t0=0.58). Lines: von Bertalanffy fit.
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10 Horse mackerel
Horse mackerel is widely distributed, occurring in the Eastern Atlantic from Norway to South Africa, as well as in the Mediterranean Sea (ICES 2011b). In the list of species described in this report, horse mackerel is the only pelagic species. ICES distinguishes 3 stocks, the Southern, the Western and the North Sea stock, the last two being of importance for the Netherlands (Figure 10-1). The Western stock consists of ICES divisions IIIa and IVa in quarter 3 and 4 and of ICES divisions IIa, Vb, VIa, VIIa–c,e–k and VIIIa-e for all quarters. The North Sea stock consists of divisions IIIa and IVa in quarter 1 and 2 and of divisions IVb,c and VIId for all quarters. In the Eastern part of the North Sea (off Jutland), horse mackerel were found to forage predominantly on fish (Dahl and Kirkegaard, 1987), with 0-group whiting being the most important prey item, followed by other gadoids and herring (www.homsir.com/biology/biology.html). The ICES advice for the North Sea mackerel stock in the period 2002 – 2010 was to not increase the catches, in order to avoid an expansion of the fishery. For 2011 there was no ICES advice, and for 2012 the advice was to reduce catches (ICES 2011b). For the North Sea stock, fisheries independent indices are scarce and debated by the working group (ICES WGWIDE). Opinions differ whether IBTS data is representative for the North sea horse mackerel stock given that this survey uses a bottom trawl gear; although with a very wide opening. During the third and fourth quarters, the commercial catches are taken by pelagic fisheries (pelagic trawlers and purse seiners) and it is therefore questioned how well horse mackerel are represented in the IBTS data.However, Ruckert et. al. (2002) argue that horse mackerel of 2 years and older are predominantly demersal in habit (Eaton 1983). In addition, the species apparently stays very close to the seabed during daylight and migrates upwards during the night (Barange et al. 1998). This would mean that for older ages, CPUE data from IBTS may be used as an abundance index (ICES 2011). For the Western stock, ICES uses an egg survey to estimate the SSB (standing stock biomass), which is used in the stock assessment models. However, there is also discussion about the use of egg surveys for an index for horse mackerel. An assumption of the use of the egg survey is that horse mackerel is a determinate spawner. This means that fecundity can be determined prior to spawning. However, horse mackerel is now considered to be an indeterminate spawner, where the eggs to be spawned are not all present in the ovary at the start of the spawning season, and fecundity can therefore not be assessed at the start of the spawning season, whereas earlier, horse mackerel was assumed to be a determinate spawner. In addition, no egg surveys for horse mackerel were carried out in the North Sea since 1991 and the mackerel egg survey in the North Sea does not cover the spawning area of horse mackerel. Egg surveys for horse mackerel were carried out only during the period 1988-1991 (from ICES 2011b).
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Figure 10-1 Distribution of Horse Mackerel in the Northeast-Atlantic and stock definitions. Map source: GEBCO, polar projection, 200 m depth contour drawn. (ICES WGWIDE 2011b)
10.1 IBTS Q3 Horse mackerel data from the IBTS Q3 shows very high variability in CPUE per haul, ranging from 0 to over 150.000 individuals per hour (Figure 10-2). The CPUE index is available since 1991 and also shows high variability per year in horse mackerel catches per hour. Since 2004, variability seems to have ceased, and the CPUE is also lower since 2004. The probability of catching horse mackerel in a haul shows a slowly declining trend over time (Figure 10-3). Horse mackerel CPUE in quarter 3 is highest in the Dutch and Danish coastal areas (Figure 10-4).
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Figure 10-2 box and whisker plot of number of horse mackerel per hour per year and ICES rectangle in IBTS Quarter 3.
HOM 1.0
HOM
0.6
0.8
IBTS Q3
0.0
0.2
0.4
probability
500 1000 0
Nr/hour
2000
IBTS Q3
1995
2000 Year
2005
2010
1995
2000
2005
2010
year
Figure 10-3 Horse mackerel CPUE series. Left: number caught per hour in the IBTS Q3 survey. Right: probability per haul in the IBTS Q3 survey. For each year the hauls were first averaged per selected ICES rectangle and consequently over the rectangles.
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Figure 10-4 Mean CPUE (number per hour) for 2009:2011 per rectangle and vessel.
Length distribution and growth The North Sea horse mackerel CPUE by length shows a peak at small individuals till 10 cm and a smaller peak at individuals between 20 and 25 cm. In the period between 2005 and 2009, the catches were very low. In 2010 and 2011 the CPUE of the older ages are also very low, but the CPUE of the younger ages has increased again. The length-weight relationship is similar for males and females (Figure 10-6). The combined estimate for a in the LW relationship W=aLb is 0.019, and the estimate for b is 2.82 (Figure 10-6). The two sexes have similar growth (Figure 10-6); females grow to similar sizes as the males, with Linf for females being 36.8 cm and Linf for males 36.3 cm. Because there were no horse mackerel age readings present in the DATRAS database and otoliths from horse mackerel IBTS- Tridens catches are not analysed either, market samples are used to estimate the growth of horse mackerel.
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Figure 10-5 CPUE (number per hour) per length class over time. Time periods: 1990 = 1990-1994, 1995 = 1995-1999, 2000 = 2000-2004, 2005 = 2005-2009, 2010 = 2010-2011
Figure 10-6 Left: Length weight relationship for horse mackerel (source Frisbe-IBTS). Red females (a=0.0032, b=3.29), blue: males (a=0.0044, b=3.19). Black line: combined (a=0.0039, b=3.23). Right: length-age relationship (source FRISBE-IBTS). Red: females (Linf=34.29, K= 0.16, t0=-4.27), blue: males (Linf=34.52 , K= 0.15, t0=-4.43). Lines: von Bertalanffy fit.
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11 Conclusions and Interpretation Time series such as the CPUE indices presented in this report only show how the state of the stock is relative to the other years in the time series. The starting point of the series is often the first year of the surveys. When interpreting the CPUE series, it is therefore essential to realize that the starting point of the series should not be interpreted as the unfished state of the stock. The length frequency distribution presented here, does not only depend on the occurrence of the species, but also on the catchability of the gear used. Selectivity of the gear and catchability heavily influence our perception of the size composition and abundance. For example, because the towing speed and the gear of the BTS vessels results in relatively high catchability for the intermediate size-classes compared to the larger and very small size classes. It is therefore likely that there is an underestimation of the larger size classes relative to the smaller size classes. Likewise, very small size classes may also be underrepresented, because the mesh size used may be too large to catch them. The spatial distribution of stocks may change over time. For example, plaice juveniles have moved offshore, away from coastal areas (van Keeken et al. 2007). This affects the indices as independent estimates of the overall stock size. We have visually inspected the spatial distribution of the survey CPUEs for such changes. Only in the case of lemon sole we detected off shore movement, and a possible southwards movement of witch flounder. The effects of changes in spatial distribution on the interpretation of survey indices should be studied. Dab
Commercial LPUE is stable over the time series. The catch cohort signal is difficult to track. Dab is of commercially low value and mainly caught as bycatch in the sole and plaice targeting fisheries and it is therefore discarded substantially (Helmond et al. 2011). Because of the high discard rate, LPUE has to be interpreted carefully.
CPUE BTS-Isis decreases since beginning of time series, but increases in recent years.
CPUE BTS-Tridens increases since beginning of time series.
No shift in length frequency distribution is observed.
No shift in spatial distribution is observed.
European Flounder
CPUE BTS-Isis shows high numbers per hectare in the last two years.
The average catch probability shows a gradual increase.
The length distribution is variable and does not show a clear trend.
No shift in spatial distribution is observed.
Witch Flounder
The survey indices fluctuate without a clear trend.
The length distribution is variable without a clear trend.
The spatial distribution of witch flounder shows an increase in the southern range (ICES rectangles 40F0-40F2) in the last time period.
Lemon Sole
The CPUE index for the BTS-Isis and BTS-Tridens show increasing trends.
There is an offshore move of lemon sole, based on data from the BTS-ISIS and the BTS-Tridens.
Both the BTS Tridens as the Isis indicate a weak decreasing trend in the average length in the catch.
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Brill
Neither the CPUE nor the probability of catching brill in the BTS-Isis has changed much.
No changes in spatial distribution over the years.
The length frequency distribution does not show a clear trend.
Turbot
Neither the CPUE in number per hectare nor the probability of catching turbot in the BTS-Isis have changed much in the time-series.
No changes in spatial distribution over the years.
The length frequency distribution does not show a clear trend.
Horse Mackerel
CPUE per haul in the IBTS is highly variable.
The probability of catching horse mackerel in a survey haul shows a slowly declining trend over time.
The length frequency distribution shows a peak at small individuals till 10 cm and a smaller peak at individuals between 20 and 25 cm, but no clear trend over the years
Lack of fisheries independent indices. Opinions differ whether IBTS data is representative for the North sea horse mackerel stock.
11.1 Future management advice For this report the authors collated the data available for ‘data limited’ fish stocks such as the flatfish species described in this report and horse mackerel in the North Sea. For those ‘data limited’ stocks for which a TAC is defined, the future TACs depend on the management objectives and the harvest control rules supporting these objectives. At this moment there are no stock assessments for these stocks. In 2012, the methodology for advice on these stocks is being finalized. One approach for formulation of advice, is to use survey trends. In short, trends in research vessel surveys are used to look at the trends in stocks. The survey index of the last two years is compared with the survey index of the three preceding years. Based on the outcome of the comparison, an increase or decrease in catch is advised. As such, our analysis can be used as input for the ICES advice. If the described method is applied to the stocks under consideration, the future catch advice depends on the trends in the surveys. Some of the species for which the stocks are described in this report are bycatch species in the fishery targeting plaice and sole (the so called ‘associated stocks’). For that reason, the measures applied for management of plaice and sole influence the development of the associated stocks. Sole and plaice are managed under a long term management plan (Council Regulation (EC) No 676/2007). The aim of the long term management plan for sole and plaice is to fish these stock at fishing mortality levels associated with high long term yields. If fishing mortalities are above the target of the plan, they should be gradually reduced. For plaice, fishing mortality is currently below the target in the plan (ICES WGNSSK 2012). As a result, the stock has increased, as have the TACs. For sole however, the current fishing mortality is estimated to be above the target, and further cuts in TACs and fishing effort are to be expected. Given the expected reductions of fishing effort in the long term management plan for sole and plaice, one could expect that the stock sizes of the associated stocks increase. However, the stock size of these associated stocks does not only depend on the fishing mortality. They also depend on the future recruitment and future growth of individuals, both are currently unknown. The recruitment of marine fish especially is highly variable. In addition, the spatial distribution differs per species. This may cause fishing fleets to change their fishing patterns as a result of fisheries management, and increasingly target the bycatch species. This would counteract the expected reductions in fishing mortality as a result of the Report number C110/12
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sole and plaice management plan. In conclusion, the advised TACs by ICES for the associated species will unlikely follow the TACs for sole and plaice.
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References Barange, M., Pillar, S. C., and Hampton, I. (1998) Distribution patterns, stock size and life-history strategies of Cape horse mackerel Trachurus trachurus capensis, based on bottom trawl and acoustic surveys. South African Journal of Marine Science, 19: 433–447. Daan, N. Bromley, PJ. Hislop, JRG. (1990) Ecology of North Sea Fish. Netherlands Journal of Sea Research, 26: 343–386 Dahl, K. and Kirkegaard, E. (1987) The diet and consumption of horse mackerel (Trachurus trachurus) in the Eastern North Sea. ICES CM 1987/H:43.Eaton, D. R. 1983. Scad in the North-East Atlantic. Laboratory Leaflet, Ministry of Agriculture, Fisheries and Food, Directorate of Fisheries Research, Lowestoft, 56: 20 pp. Hammen, T. van der; Poos, J.J.; Quirijns, F.J. (2011). Data availability for the evaluation of stock status of species without catch advice: Case study: turbot (Psetta maxima) and Brill (Scophthalmus rhombus). IJmuiden : IMARES, (Report C109/11) - p. 35. Handboek bestandsopnamen en routinematige bemonsteringen op het water. Versie 6, februari 2012 Helmond, A.T.M. van; Uhlmann, S.S.; Overzee, H.M.J. van; Bierman, S.M.; Bol, R.A.; Nijman, R.R. (2011) Discard sampling of Dutch bottom-trawl fisheries in 2009 and 2010. IJmuiden : Centrum voor Visserijonderzoek, (CVO report 11.008) - p. 101. ICES (2009) Manual for the Offshore Beam Trawl Surveys, Revision 1.2, June 2009, Working Group on Beam Trawl Surveys. 30 pp. ICES (2010) Report of the Working Group on Beam Trawl Surveys (WGBEAM), ICES CM 2001/SSGESST:17 ICES (2011) Report of the International Bottom Trawl Survey Working Group (IBTSWG), 28 March – 1 April 2011, ICES Headquarters, Copenhagen. ICES CM 2011/SSGESST:06. 237 pp. ICES (2011b) Report of the Working Group on Widely Distributed Stocks (WGWIDE), 23 - 29 August 2011, ICES Headquarters, Copenhagen, Denmark. ICES CM 2011/ACOM:15. 642 pp. ICES (2012) Report of the Working Group on Assessment of New MoU Species (WGNEW), 5 - 9 March 2012, ICES CM 2012/ACOM:20. 258 pp. ICES (2012b) Report of the Workshop on the Development of Assessments based on LIFE history traits and Exploitation Characteristics (WKLIFE), 13–17 February 2012, Lisbon, Portugal . ICES CM 2012/ACOM:36. 122 pp. Keeken, O.A. van, van Hoppe, M., Grift, R.E., Rijnsdorp, A.D. (2007) Changes in the spatial distribution of North Sea plaice (Pleuronectes platessa) and implications for fisheries management. Journal of Sea Research, 57: 187-197 Lozán, JL. (1988) Verbreitung, Dichte, und Struktur der Population der Klieschen (Limanda limanda L.) in der Nordsee mit Vergleichen zu Popualtionen um Island und in der Ostsee anhand meristischer Merkmale. Arch. Fischereiwiss, 38: 165–189 Molander, A. (1935) Further data concerning the witch (Pleuronectes cynoglossus L.). Svenska HydrografiskaBiologiska Kommissionens Skrifter. Ny serie Biologi. Band I. NR 6. 1935. Tryckeriaktiebolaget Tiden, Stockholm. Piet, G.J., Pfisterer, A.B., Rijnsdorp, A.D. (1998) On factors structuring the flatfish assemblage in the southern North Sea. Journal of sea research, 40(1-2): 143 -152
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Punt, A. E., Smith, D. C., and Smith, A. D. M. (2011) Among-stock comparisons for improving stock assessments of data-poor stocks: the “Robin Hood” approach. – ICES Journal of Marine Science, 68: 972–981. Rijnsdorp, A. D., W. Dekker, and N. Daan. 2006. Partial fishing mortality per fishing trip: a useful indicator for effective fishing effort in management of mixed demersal fisheries. ICES Journal of Marine Science 63:556-566. Quirijns F.J., Poos J.J., Rijnsdorp AD (2008) Standardizing commercial CPUE data in monitoring stock dynamics: Accounting for targeting behaviour in mixed fisheries. Fisheries Research89:1-8 Rückert, C., Floeter, J., A. Temming. (2002) An estimate of horse mackerel biomass in the North Sea, 19911997. - ICES Journal of Marine Science, 59: 120-130. Teal, L.R.; Keeken, O.A. van (2011) The importance of the surf zone for fish and brown shrimp in The Netherlands. IMARES, (Report C054/11).
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Justification Rapport C110/12 Project Number:
4308601031
The scientific quality of this report has been peer reviewed by the a colleague scientist and the head of the department of IMARES.
Approved:
Floor Quirijns Senior Fisheries Scientist
Signature:
Date:
10 October 2012
Approved:
Dr. ir. T.P. Bult Head of Fisheries department
Signature:
Date:
Report number C110/12
10 October 2012
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Appendix A. Number of years sampled per research vessel
Table A-1 BTS: Number of years sampled per ship. Grey areas represent the rectangles that are included in the analysis. AREA_CODE 32F1 32F2 32F3 33F1 33F2 33F3 33F4 34F1 34F2 34F3 34F4 35F0 35F1 35F2 35F3 35F4 35F5 36F0 36F1 36F2 36F3 36F4 36F5 36F6 36F7 37F0 37F1 37F2 37F3 37F4 37F5 37F6 37F7 37F8 38E9 38F0 38F1 38F2 38F3 38F4 38F5 38F6 38F7 38F8 39E9 39F0 39F1 39F2 39F3 39F4 39F5 39F6 39F7 39F8 40E9 40F0 40F1 40F2 40F3 40F4 40F5
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ISI 9 11 24 10 12 24 25 0 12 25 25 0 0 4 23 25 11 0 1 3 21 24 25 24 24 0 0 1 19 22 25 24 25 21 0 0 0 0 20 22 25 24 25 11 0 0 0 0 0 21 25 24 24 22 0 0 0 0 0 0 8
TRI2 5 4 0 1 5 0 1 7 9 0 1 7 15 16 9 0 0 14 15 15 8 2 0 1 0 16 15 15 15 2 0 1 0 0 6 16 15 16 16 16 0 1 1 0 16 16 9 3 6 16 3 1 1 1 16 16 16 14 15 16 16
AREA_CODE 40F6 40F7 41E8 41E9 41F0 41F1 41F2 41F3 41F4 41F5 41F6 42E8 42E9 42F0 42F1 42F2 42F3 42F4 42F5 42F6 43E8 43E9 43F0 43F1 43F2 43F3 43F4 43F5 43F6 43F7 44E6 44E7 44E8 44E9 44F0 44F1 44F2 44F3 44F4 44F5 45E6 45E7 45E8 45E9 45F0 45F1 45F2 45F3 45F4 45F5 46E8 46E9 46F2 47E9 47F3 48E9 48F2 49E9 49F2 50E9 50F2
ISI 10 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
TRI2 16 1 9 16 16 2 9 3 16 16 16 8 16 16 15 16 16 15 16 16 8 15 15 6 11 2 13 15 15 1 13 13 13 14 14 14 12 12 11 6 13 12 8 9 6 5 4 4 1 1 1 2 1 1 1 1 1 1 1 1 1
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Table A-2 IBTS Q3: Number of years sampled. Grey areas represent the rectangles that are included in the analysis. AREA_CODE 31F1 31F2 32F1 32F2 32F3 33F1 33F2 33F3 33F4 34F1 34F2 34F3 34F4 35F0 35F1 35F2 35F3 35F4 36F0 36F1 36F2 36F3 36F4 36F5 36F6 36F7 37F0 37F1 37F2 37F3 37F4 37F5 37F6 37F7 37F8 38E9 38F0 38F1 38F2 38F3 38F4 38F5 38F6 38F7 38F8 39E8 39E9 39F0
IBTS Q3 1 4 20 20 20 5 20 20 19 4 20 20 20 14 20 20 20 20 20 20 20 20 20 20 19 5 19 19 19 20 20 20 20 20 9 20 20 20 20 20 20 20 20 20 7 3 20 20
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AREA_CODE 39F1 39F2 39F3 39F4 39F5 39F6 39F7 39F8 40E8 40E9 40F0 40F1 40F2 40F3 40F4 40F5 40F6 40F7 40G2 41E7 41E8 41E9 41F0 41F1 41F2 41F3 41F4 41F5 41F6 41F7 41G0 41G1 41G2 42E7 42E8 42E9 42F0 42F1 42F2 42F3 42F4 42F5 42F6 42F7 42G1 42G2 43E8 43E9
IBTS Q3 20 20 20 20 20 20 19 7 20 20 20 20 20 20 20 20 20 20 5 20 20 20 20 20 20 20 20 18 18 19 18 19 19 20 20 20 20 20 20 20 20 20 20 18 19 19 20 20
AREA_CODE 43F0 43F1 43F2 43F3 43F4 43F5 43F6 43F7 43F8 43F9 43G0 43G1 43G2 44E6 44E7 44E8 44E9 44F0 44F1 44F2 44F3 44F4 44F5 44F8 44F9 44G0 44G1 45E6 45E7 45E8 45E9 45F0 45F1 45F2 45F3 45F4 45F9 45G0 45G1 46E6 46E7 46E8 46E9 46F0 46F1 46F2 46F3 46G0
IBTS Q3 20 20 20 20 20 17 17 15 19 12 19 19 19 20 20 20 20 20 20 20 20 20 20 19 19 19 19 19 20 20 20 20 20 20 20 20 17 19 19 3 20 20 20 20 20 20 20 17
AREA_CODE 47E6 47E7 47E8 47E9 47F0 47F1 47F2 47F3 48E6 48E7 48E8 48E9 48F0 48F1 48F2 48F3 49E6 49E7 49E8 49E9 49F0 49F1 49F2 49F3 50E7 50E8 50E9 50F0 50F1 50F2 50F3 51E8 51E9 51F0 51F1 51F2 37E9 44F6 52E9 52F0 52F1 38G2 46G1 36F8 38E8
IBTS Q3 3 20 20 20 20 20 20 20 4 20 20 20 20 20 20 13 4 19 20 20 20 20 20 20 5 18 20 19 20 20 10 19 20 20 20 19 2 3 8 10 12 1 7 1 1
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Appendix B. Age and length samples by species Table B-1 Number of length and age samples per survey per year (nr samples taken) DAB
BTS
DISCARDS_BT
OTHER
length
age
length
DFS age
length
IBTS age
length
SNS Age
length
MARKET age
length
age
length
age
1966
0
0
0
0
384
0
0
0
0
0
0
0
0
0
1967
0
0
0
0
277
0
0
0
0
0
0
0
0
0
1968
0
0
0
0
256
0
0
0
0
0
0
0
0
0
1969
0
0
0
0
467
0
450
0
0
0
0
0
0
0
1970
0
0
1674
0
594
0
1076
0
0
0
0
0
0
0
1971
0
0
1307
0
421
0
487
0
0
0
0
0
0
0
1972
0
0
1725
0
281
0
997
0
0
0
0
0
0
0
1973
0
0
2398
0
416
0
833
0
0
0
0
0
0
0
1974
0
0
3189
0
546
0
1450
0
0
0
0
0
99
0
1975
0
0
3481
0
591
0
1520
0
0
0
0
0
216
0
1976
0
0
2040
0
537
0
1560
0
0
0
851
0
98
0
1977
0
0
3083
0
693
0
1768
0
0
0
348
0
319
0
1978
0
0
3512
713
559
0
3684
958
0
0
894
0
28
0
1979
0
0
3938
0
251
0
3071
0
0
0
0
0
34
0
1980
0
0
5173
165
2049
0
2856
0
0
0
1560
0
49
0
1981
0
0
4833
164
2510
0
3675
0
0
0
0
0
247
0
1982
0
0
6430
169
1777
0
3335
0
0
0
363
0
378
0
1983
549
0
7182
192
1424
0
3701
0
0
0
212
0
83
0
1984
0
0
5404
271
1838
0
3534
0
0
0
0
0
0
0
1985
1683
392
4704
105
2231
0
3817
0
0
0
0
0
13
0
1986
1774
212
3715
170
2935
0
4025
0
0
0
0
0
0
0
1987
1407
111
2487
189
3431
0
3265
0
0
0
0
0
0
0
1988
2379
215
3939
288
1843
0
3389
0
0
0
0
0
0
0
1989
1223
249
3022
295
2086
0
3595
0
0
0
627
0
0
0
1990
1563
371
2281
294
2344
0
1307
0
0
0
918
0
0
0
1991
1463
325
1553
300
2943
0
1244
0
0
0
0
0
0
0
1992
1542
343
1614
283
2355
0
1218
0
0
0
0
0
15
0
1993
1652
361
1179
262
3237
0
1155
574
0
0
0
0
386
0
1994
1421
249
1002
0
2509
0
1602
0
0
0
0
0
376
0
1995
1306
257
1414
203
1683
0
1107
0
0
0
0
0
0
0
1996
2341
252
1382
184
765
0
931
0
0
0
0
0
769
0
1997
2190
249
1137
220
1362
0
600
0
0
0
0
0
1360
0
1998
2453
255
602
0
838
0
673
0
0
0
0
0
1308
0
1999
2717
0
534
0
740
0
564
0
0
0
1488
122
82
0
2000
2745
0
639
0
802
0
574
0
0
0
5643
406
2696
34
2001
2302
0
884
0
770
0
425
0
0
0
1815
0
2974
0
2002
3449
0
736
0
768
0
406
0
300
300
2285
221
3239
28
2003
3868
1234
670
149
912
0
1570
557
300
298
4131
349
2291
0
2004
5123
0
2086
0
1746
0
2626
0
538
275
3937
280
1519
0
2005
6372
1820
1744
14
1792
0
2082
0
581
297
4771
224
4681
330
2006
5250
1648
1344
558
1822
0
1832
0
576
296
5209
138
241
0
2007
6102
1836
1820
395
1628
0
1618
686
551
299
3613
217
8650
0
2008
5480
1606
2336
786
1809
0
2376
0
0
0
5268
298
8978
0
2009
5840
1618
3864
1034
2134
0
2588
0
1235
717
6327
1383
5264
645
2010
4432
1392
2636
866
1592
0
2608
0
1335
776
9687
2318
27744
998
2011
6086
1329
798
9112
579
12583
575
50 of 62
1640
2516
Report number C110/12
Flounder
BTS
DFS
IBTS
SNS
MARKET
DISBT
OTHER
length
age
length
age
length
age
length
age
length
age
length
age
length
1966
0
0
0
0
20
0
0
0
0
0
0
0
0
0
1967
0
0
0
0
2
0
0
0
0
0
0
0
0
0
1968
0
0
0
0
6
0
0
0
0
0
0
0
0
0
1969
0
0
0
0
46
0
32
0
0
0
0
0
0
0
1970
0
0
246
0
32
0
78
0
0
0
0
0
0
0
1971
0
0
258
0
23
0
42
0
0
0
0
0
0
0
1972
0
0
238
0
7
0
110
0
0
0
0
0
0
0
1973
0
0
324
0
74
0
65
0
0
0
0
0
0
0
1974
0
0
554
0
72
0
82
0
0
0
0
0
9
0
1975
0
0
631
0
80
0
77
0
0
0
0
0
6
0
1976
0
0
796
0
54
0
70
0
0
0
0
0
8
0
1977
0
0
656
0
34
0
115
0
0
0
0
0
11
0
1978
0
0
427
0
45
0
179
0
0
0
30
0
0
0
1979
0
0
807
0
18
0
190
0
0
0
0
0
12
0
1980
0
0
1367
0
126
0
225
0
0
0
360
0
14
0
1981
0
0
1206
0
183
0
196
0
0
0
0
0
4
0
1982
0
0
1164
0
92
0
271
0
0
0
0
0
24
0
1983
0
0
1200
0
187
0
248
0
0
0
0
0
12
0
1984
0
0
784
0
181
0
79
0
0
0
0
0
0
0
1985
111
0
537
0
176
0
245
0
0
0
0
0
1
0
1986
30
0
527
0
260
0
228
0
0
0
0
0
0
0
1987
25
0
273
0
332
0
99
0
0
0
0
0
0
0
1988
44
0
293
0
220
0
107
0
0
0
0
0
0
0
1989
54
0
275
0
188
0
105
0
912
911
0
0
129
0
1990
144
0
252
0
192
0
45
0
425
0
7
0
53
0
1991
111
0
260
0
206
0
40
0
0
0
0
0
166
0
1992
80
0
308
0
154
0
40
0
0
0
0
0
877
15
1993
83
0
213
0
159
0
36
0
0
0
0
0
646
19
1994
110
0
355
0
133
0
74
0
0
0
0
0
1011
20
1995
165
0
541
0
75
0
75
0
0
0
0
0
851
45
1996
186
0
371
0
18
0
65
0
0
0
0
0
2877
0
1997
182
0
258
0
62
0
78
0
0
0
0
0
2454
0
1998
134
0
212
0
49
0
29
0
0
0
0
0
1706
76
1999
67
0
272
0
22
0
13
0
0
0
0
0
744
0
2000
107
0
479
0
26
0
15
0
0
0
153
0
1416
49
2001
101
0
462
0
21
0
36
0
0
0
134
0
2173
42
2002
143
0
529
0
38
0
25
0
0
0
13
0
2481
125
2003
105
0
340
0
33
0
50
0
0
0
27
0
3601
0
2004
284
0
736
0
106
0
242
0
0
0
61
0
2237
0
2005
384
90
1038
9
114
0
62
0
0
0
49
0
5497
78
2006
172
2
1172
552
88
0
142
0
0
0
169
0
1760
36
2007
340
0
1271
481
98
0
150
78
0
0
30
0
4726
46
2008
422
12
1924
790
271
0
176
74
0
0
107
0
5570
18
2009
310
4
1680
734
234
0
152
0
1663
849
38
0
5868
342
2010
282
14
1778
748
129
0
178
0
1716
900
256
0
4241
174
2011
458
0
NA
0
96
0
204
0
1489
900
112
0
1718
62
Report number C110/12
age
51 of 62
Lemon sole
BTS
DFS
IBTS
SNS
MARKET
DISBT
OTHER
length
age
length
age
length
age
length
age
length
age
length
age
length
age
1966
0
0
0
0
8
0
0
0
0
0
0
0
0
0
1967
0
0
0
0
7
0
0
0
0
0
0
0
0
0
1968
0
0
0
0
13
0
0
0
0
0
0
0
0
0
1969
0
0
0
0
72
0
4
0
0
0
0
0
0
0
1970
0
0
3
0
32
0
3
0
0
0
0
0
0
0
1971
0
0
5
0
9
0
2
0
0
0
0
0
0
0
1972
0
0
11
0
7
0
8
0
0
0
0
0
0
0
1973
0
0
17
0
66
0
12
0
0
0
0
0
0
0
1974
0
0
9
0
18
0
31
0
0
0
0
0
0
0
1975
0
0
16
0
63
0
24
0
0
0
0
0
0
0
1976
0
0
12
0
59
0
30
0
0
0
20
0
0
0
1977
0
0
21
0
32
0
37
0
0
0
20
0
0
0
1978
0
0
6
0
52
0
60
0
0
0
6
0
0
0
1979
0
0
10
0
54
0
65
0
0
0
0
0
0
0
1980
0
0
33
0
158
0
44
0
0
0
0
0
0
0
1981
0
0
35
0
346
0
89
0
0
0
0
0
0
0
1982
0
0
19
0
174
0
89
0
0
0
0
0
0
0
1983
272
0
5
0
124
0
69
0
0
0
0
0
0
0
1984
0
0
10
0
145
0
47
0
0
0
0
0
0
0
1985
149
0
8
0
135
0
62
0
0
0
0
0
0
0
1986
90
0
11
0
376
0
51
0
0
0
0
0
0
0
1987
102
0
14
0
397
0
41
0
0
0
0
0
0
0
1988
94
0
12
0
81
0
42
0
0
0
0
0
0
0
1989
86
0
23
0
142
0
54
0
0
0
1
0
0
0
1990
77
0
16
0
220
0
33
0
0
0
0
0
0
0
1991
77
0
1
0
559
0
8
0
0
0
0
0
0
0
1992
30
0
3
0
456
0
7
0
0
0
0
0
0
0
1993
19
0
13
0
415
0
15
0
0
0
0
0
0
0
1994
98
0
9
0
358
0
80
0
0
0
0
0
1
0
1995
87
0
12
0
252
0
59
0
0
0
0
0
0
0
1996
489
0
15
0
85
0
33
0
0
0
0
0
23
0
1997
415
0
7
0
141
0
42
0
0
0
0
0
49
0
1998
568
0
7
0
103
0
26
0
0
0
0
0
69
0
1999
649
0
10
0
90
0
18
0
0
0
32
0
16
0
2000
745
0
54
0
118
0
33
0
0
0
267
0
60
0
2001
780
0
37
0
61
0
14
0
0
0
44
0
34
0
2002
955
0
26
0
104
0
15
0
136
133
22
0
23
0
2003
1545
0
12
0
123
0
22
0
437
437
222
0
31
0
2004
2012
0
13
0
252
0
94
0
417
415
119
0
18
0
2005
1974
852
7
0
186
0
34
0
394
387
141
0
19
0
2006
1908
764
66
0
178
0
28
0
211
205
83
0
21
0
2007
2408
898
1
0
202
42
54
0
220
215
93
0
218
0
2008
2404
946
12
0
534
0
18
0
216
210
219
0
150
0
2009
2310
886
118
0
268
0
34
0
461
0
127
0
160
0
2010
2122
890
98
0
186
0
60
0
396
0
364
0
384
0
2011
2762
0
0
0
174
0
64
0
729
153
716
0
555
0
52 of 62
Report number C110/12
Witch Flounder
BTS length
DFS age
length
IBTS age
length
SNS age
length
length 0
DISBT age
length 0
OTHER age
length
1969
0
0
2
1970
0
0
47
0
0
0
0
1972
0
0
1
0
0
0
0
1973
0
0
10
0
0
0
0
1974
0
0
3
0
0
0
0
1975
0
0
33
0
0
0
0
1976
0
0
44
5
0
0
0
1977
0
1
5
0
0
0
0
1978
0
0
7
0
0
0
0
1979
0
2
3
0
0
0
0
1980
0
0
16
0
0
0
0
1981
0
0
52
0
0
0
0
1982
0
0
17
0
0
0
0
1983
124
0
75
0
0
0
0
1984
0
0
7
0
0
0
0
1985
44
0
33
0
0
0
0
1986
22
0
69
1
0
0
0
1987
23
0
57
0
0
0
0
1988
1
0
31
0
0
0
0
1989
0
0
40
0
0
0
0
1991
0
0
53
0
0
0
0
1992
0
0
44
0
0
0
0
1993
0
0
54
0
0
0
0
1994
1
2
4
0
0
0
0
1995
1
0
12
0
0
0
0
1996
38
2
3
0
0
0
0
1997
69
0
5
0
0
0
0
1998
120
0
6
2
0
0
2
1999
148
0
9
0
0
8
8
2000
226
0
2
0
0
17
6
2001
332
0
1
0
0
18
6
2002
158
0
3
0
0
0
6
2003
915
0
8
0
0
0
9
2004
598
0
6
0
0
1
2
2005
672
0
30
0
0
0
1
2006
660
0
8
0
0
1
6
2007
240
0
2
0
0
0
20
2008
216
0
16
0
0
0
58
2009
238
0
6
0
0
1
3
2010
240
0
2
0
0
3
30
2011
382
0
4
0
0
16
20
Report number C110/12
0
MARKET age
age
0
53 of 62
Turbot
BTS
DFS
IBTS
SNS
MARKET
DISBT
OTHER
length
age
length
age
length
age
length
age
length
age
length
age
length
age
1966
0
0
0
0
1
0
0
0
0
0
0
0
0
0
1967
0
0
0
0
1
0
0
0
0
0
0
0
0
0
1969
0
0
0
0
1
0
13
0
0
0
0
0
0
0
1970
0
0
20
0
5
0
24
0
0
0
0
0
0
0
1971
0
0
17
0
0
0
13
0
0
0
0
0
0
0
1972
0
0
3
0
1
0
17
0
0
0
0
0
0
0
1973
0
0
11
0
0
0
10
0
0
0
0
0
0
0
1974
0
0
35
0
2
0
39
0
0
0
0
0
11
0
1975
0
0
9
0
5
0
40
0
0
0
0
0
6
0
1976
0
0
17
0
3
0
35
0
0
0
201
0
33
0
1977
0
0
35
0
6
0
97
0
0
0
31
0
31
0
1978
0
0
26
0
1
0
77
0
0
0
112
0
15
0
1979
0
0
14
0
2
0
42
0
0
0
0
0
4
0
1980
0
0
72
0
39
0
27
0
0
0
322
0
0
0
1981
0
0
71
0
32
0
43
0
316
315
0
0
52
0
1982
0
0
161
0
20
0
35
0
1181
1181
142
0
58
0
1983
11
0
155
0
44
0
78
0
1535
1535
10
0
12
0
1984
0
0
110
0
22
0
70
0
1509
1509
0
0
0
0
1985
70
0
60
0
51
0
51
0
1499
1499
0
0
3
0
1986
100
0
27
0
42
0
20
0
1240
1240
0
0
0
0
1987
93
0
37
0
28
0
14
0
423
423
0
0
0
0
1988
106
0
26
0
35
0
44
0
398
397
0
0
0
0
1989
87
0
51
0
49
0
48
0
477
477
41
0
0
0
1990
212
0
27
0
75
0
54
0
599
599
169
0
0
0
1991
214
0
36
0
51
0
24
0
0
0
0
0
0
0
1992
178
0
48
0
35
0
30
0
0
0
0
0
0
0
1993
225
0
63
0
65
0
41
0
0
0
0
0
17
0
1994
230
0
19
0
19
0
39
0
0
0
0
0
8
0
1995
172
0
39
0
19
0
42
0
0
0
0
0
0
0
1996
182
0
37
0
1
0
21
0
0
0
0
0
30
0
1997
183
0
18
0
8
0
14
0
0
0
0
0
24
0
1998
114
0
9
0
4
0
18
0
542
542
0
0
28
0
1999
126
0
24
0
2
0
42
0
0
0
12
0
0
0
2000
172
0
6
0
0
0
30
0
0
0
155
0
97
0
2001
245
112
31
0
1
0
13
0
0
0
37
0
47
0
2002
149
30
16
0
3
0
27
0
2378
2346
0
0
64
0
2003
343
212
46
19
3
0
10
0
2442
2421
70
0
58
6
2004
663
388
78
0
8
0
200
76
1020
1004
22
0
4
0
2005
564
288
78
16
4
0
122
52
1150
1138
253
0
231
0
2006
516
240
56
10
6
0
160
76
1178
1160
158
0
8
0
2007
642
342
35
16
24
12
92
56
1147
1139
232
0
1115
0
2008
592
324
114
38
32
0
136
92
949
927
62
0
954
0
2009
470
242
58
22
22
0
54
36
2030
875
1752
0
226
2
2010
422
228
94
40
4
0
90
0
1967
878
2309
6
952
0
2011
534
0
NA
0
4
0
96
54
2535
888
2042
0
1119
0
54 of 62
Report number C110/12
Brill
BTS
DFS
IBTS
SNS
MARKET
DISBT
OTHER
length
age
length
age
length
age
length
age
length
age
length
age
length
1970
0
0
18
0
0
0
26
0
0
0
0
0
0
0
1971
0
0
17
0
2
0
7
0
0
0
0
0
0
0
1972
0
0
11
0
0
0
13
0
0
0
0
0
0
0
1973
0
0
19
0
0
0
10
0
0
0
0
0
0
0
1974
0
0
18
0
7
0
18
0
0
0
0
0
7
0
1975
0
0
20
0
2
0
21
0
0
0
0
0
0
0
1976
0
0
31
0
2
0
17
0
0
0
32
0
5
0
1977
0
0
13
0
6
0
40
0
0
0
6
0
6
0
1978
0
0
16
0
0
0
50
0
0
0
38
0
0
0
1979
0
0
33
0
3
0
21
0
0
0
0
0
15
0
1980
0
0
120
0
10
0
29
0
0
0
159
0
0
0
1981
0
0
89
0
14
0
33
0
241
241
0
0
18
0
1982
0
0
119
0
10
0
24
0
559
559
40
0
22
0
1983
2
0
99
0
6
0
26
0
1311
1311
8
0
15
0
1984
0
0
45
0
9
0
34
0
1540
1540
0
0
0
0
1985
13
0
13
0
10
0
17
0
1185
1184
0
0
2
0
1986
17
0
9
0
13
0
9
0
1371
1371
0
0
0
0
1987
54
0
21
0
11
0
8
0
380
380
0
0
0
0
1988
41
0
12
0
4
0
12
0
318
318
0
0
0
0
1989
31
0
54
0
14
0
26
0
358
358
1
0
0
0
1990
96
0
24
0
27
0
15
0
442
441
78
0
0
0
1991
74
0
29
0
20
0
13
0
0
0
0
0
0
0
1992
133
0
58
0
29
0
28
0
0
0
0
0
0
0
1993
151
0
18
0
24
0
14
0
0
0
0
0
40
0
1994
102
0
36
0
2
0
14
0
0
0
0
0
15
0
1995
77
0
14
0
4
0
4
0
0
0
0
0
0
0
1996
42
0
13
0
2
0
2
0
0
0
0
0
21
0
1997
89
0
13
0
3
0
14
0
0
0
0
0
23
0
1998
54
0
14
0
0
0
1
0
458
458
0
0
42
0
1999
38
0
26
0
1
0
11
0
0
0
0
0
2
0
2000
88
0
32
0
1
0
15
0
0
0
94
0
162
0
2001
64
38
16
0
1
0
16
0
0
0
51
0
123
0
2002
60
4
22
0
2
0
13
0
2044
2026
3
0
91
0
2003
211
108
52
17
0
0
45
0
2042
2023
14
0
59
17
2004
217
109
58
0
10
0
46
12
746
737
15
0
44
10
2005
160
78
170
14
2
0
28
10
658
644
71
0
380
0
2006
190
90
50
12
0
0
66
32
731
713
85
0
14
0
2007
258
140
28
9
0
0
32
20
845
830
168
0
501
0
2008
122
74
208
102
0
0
94
56
997
978
60
0
537
4
2009
242
134
100
44
4
0
108
30
1719
752
524
0
194
0
2010
342
182
148
66
10
0
56
0
1712
781
1439
0
346
0
2011
444
0
0
0
0
0
98
60
2167
736
1492
0
770
0
Report number C110/12
age
55 of 62
Horse Mackerel
BTS
DFS
IBTS
SNS
MARKET
DISBT
OTHER
length
age
length
age
length
age
length
age
length
age
length
age
length
age
1969
0
0
0
0
0
0
13
0
0
0
0
0
0
0
1970
0
0
63
0
0
0
17
0
0
0
0
0
0
0
1971
0
0
78
0
0
0
4
0
0
0
0
0
0
0
1972
0
0
104
0
2
0
10
0
0
0
0
0
0
0
1973
0
0
80
0
7
0
10
0
0
0
0
0
0
0
1974
0
0
55
0
4
0
10
0
0
0
0
0
1
0
1975
0
0
160
0
7
0
48
0
0
0
0
0
0
0
1976
0
0
116
0
16
0
59
0
0
0
0
0
0
0
1977
0
0
112
0
12
0
38
0
0
0
0
0
27
0
1978
0
0
99
0
7
0
39
0
0
0
9
0
0
0
1979
0
0
102
0
3
0
59
0
0
0
0
0
10
0
1980
0
0
268
0
490
0
53
0
25
25
6
0
14
0
1981
0
0
196
0
524
0
84
0
0
0
0
0
11
0
1982
0
0
264
0
488
0
58
0
500
500
0
0
0
0
1983
26
0
66
0
245
0
42
0
700
700
11
0
0
0
1984
0
0
144
0
496
0
31
0
950
950
0
0
0
0
1985
20
0
103
0
786
0
23
0
1400
1400
0
0
0
0
1986
13
0
105
0
695
0
43
0
1050
1050
0
0
0
0
1987
27
0
95
0
891
0
21
0
1300
1300
0
0
0
0
1988
19
0
48
0
398
0
8
0
1498
1498
0
0
0
0
1989
32
0
68
0
357
0
24
0
1525
1525
0
0
0
0
1990
33
0
40
0
523
0
42
0
1775
1775
57
0
0
0
1991
25
0
96
0
1638
526
36
0
2049
2049
0
0
0
0
1992
69
0
96
0
656
45
66
0
1525
1525
0
0
0
0
1993
19
0
28
0
930
231
31
0
2775
2775
0
0
556
0
1994
63
0
17
0
805
201
43
0
2775
2775
0
0
1133
0
1995
55
0
22
0
290
0
96
0
1875
1875
0
0
314
0
1996
17
0
114
0
158
0
32
0
1900
1900
0
0
741
0
1997
85
0
42
0
285
0
48
0
2449
2449
0
0
0
0
1998
31
0
21
0
111
0
35
0
2825
2825
0
0
2
0
1999
63
0
35
0
4
0
10
0
3025
3025
13
0
5
0
2000
97
0
75
0
5
0
24
0
1950
1950
76
0
85
0
2001
84
0
70
0
19
0
55
0
3350
3350
1
0
136
0
2002
134
0
26
0
18
0
42
0
3125
3125
42
0
1641
0
2003
137
0
88
0
89
0
0
0
2225
2225
32
0
1195
0
2004
121
0
66
0
214
0
78
0
3046
2500
48
0
1111
0
2005
132
0
131
0
80
0
118
0
3646
2664
16
0
2706
0
2006
136
0
202
0
256
0
54
0
3089
2268
45
0
1981
0
2007
24
0
13
0
258
0
20
0
2531
1822
89
0
2957
0
2008
40
0
36
0
84
0
58
0
3545
2559
3
0
4415
0
2009
68
0
54
0
48
0
56
0
3519
2493
31
0
5377
0
2010
72
0
114
0
102
0
94
0
3387
2497
87
0
8642
0
2011
14
0
0
0
12
0
50
0
3903
2798
31
0
3932
0
56 of 62
Report number C110/12
Appendix C. Parameters of length-weight relationships and growth Table C-1 Length weight parameters Species Dab
European Flounder
Witch Flounder
Lemon Sole
Brill
Turbot
Horse Mackerel
a
b
Source
female
0.0103
2.98
DATRAS BTS
male
0.0071
3.10
all
0.0095
3.01
female
0.016
2.89
male
0.024
2.75
all
0.012
2.98
female
0.0024
3.28
male
0.0031
3.19
all
0.002
3.33
female
0.0098
3.02
male
0.0077
3.07
all
0.0077
3.08
female
0.016
2.97
male
0.013
3.01
all
0.014
2.99
female
0.013
3.11
male
0.022
2.95
all
0.012
3.13
female
0.0032
3.29
male
0.0044
3.19
all
0.0039
3.23
DATRAS BTS
DATRAS BTS
DATRAS BTS
DATRAS BTS
DATRAS BTS
FRISBE IBTS Q3
Table C-2 Estimated Von Bertalanffy parameters Species Dab European Flounder Lemon Sole Brill Turbot Horse Mackerel
Report number C110/12
Linf
K
t0
Source
female
25.9
0.50
-0.46
BTS (FRISBE)
male
21.5
0.41
-1.31
female
44.9
0.27
-2.58
male
35.7
0.73
-0.16
female
29.8
0.39
-0.85
male
26.1
0.37
-1.35
female
56.6
0.32
-1.19
male
38.8
0.59
-0.94
female
54.7
0.39
-0.39
male
36.7
0.56
-0.58
female
34.3
0.16
-4.27
male
34.5
0.15
-4.43
BTS (FRISBE) BTS (FRISBE) BTS (FRISBE) BTS (FRISBE) IBTS (FRISBE)
57 of 62
Appendix D. Commercial data on dab Table D-1 Dab market sampling per category. Source: Frisbe 2002
2003
2004
2005
2006
2007
2009
2010
2011
0
225
275
465
438
505
475
898
1181
1282
2
0
0
0
0
0
0
0
0
32
Table D-2 Total Dutch landings in tonnes per market category. Source: Visstat 1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011*
0
1426
2261
1584
1811
0
0
0
0
0
0
0
0
0
1
1
73
2
2
4
9
11
6
5
11
3
4
11
14
2
2
3802
4595
3484
3262
4010
4424
4341
4829
4455
5561
4906
4831
4281
1860
*2011 market categories data are not yet complete
Table D-3 Effort and landings estimation for Dutch beam trawlers (> 221kW). Corrected data: days at sea by 1471 kW vessel (equation 1). Uncorrected: days at sea. Landings in tonnes. Source: Visstat year
corrected effort
uncorrected effort
Landings (tonnes)
1998
33841
30273
5172
1999
33002
29502
6086
2000
32661
29258
4497
2001
30949
27800
3860
2002
28654
25705
3032
2003
26572
23949
3068
2004
24882
22754
3163
2005
25081
22973
3777
2006
22488
20974
3652
2007
21725
20398
4960
2008
15958
15654
3703
2009
16625
16375
2856
2010
16635
16164
2994
2011
15956
15429
2914
Table D-4 Dab landings (kg) per rectangle and year (TBB >221 kW) 1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
31F1
73596
55025
43990
33480
10595
9030
11395
10295
7410
14060
9971
9102
18495
8470
31F2
265439
271057
303034
366037
354015
316373
343541
302734
293640
453318
619098
482414
333549
255857
31F3
11563
2556
2080
6260
2975
5245
8813
4413
4180
17500
6820
2340
1638
1400
31F5
0
0
40
0
0
0
0
0
0
0
0
0
0
0
31F6
400
0
0
0
0
0
1200
0
0
0
0
0
0
0
32F0
0
0
0
0
0
0
0
900
0
0
0
0
0
0
32F1
4440
6490
5790
3735
5540
19650
11510
5090
1830
6710
4145
4662
1855
12601
32F2
282096
346635
372025
491025
404480
363818
345519
316004
217676
493304
446215
388649
262731
263240
32F3
228164
171593
233876
195704
217779
111933
125775
98907
89013
278309
327864
114417
93624
111400
32F4
15993
1850
14090
6810
5590
2340
2278
1275
770
1950
1325
0
0
165
32F5
0
0
0
0
0
40
0
0
0
0
0
0
0
0
33F1
200
260
0
150
1350
980
0
1200
150
0
0
25
0
355
33F2
110892
76311
135835
55194
69693
82615
85548
92440
65140
87207
80807
107205
100591
87425
33F3
396286
341133
402144
255892
230809
198811
239373
230442
203371
405847
326990
166922
203869
263031
33F4
23813
21992
13063
31098
22620
21469
23345
36097
19193
59966
48185
27954
15528
13220
33F5
300
0
0
0
870
0
0
95
0
0
0
0
0
0
34F0
0
0
40
108
0
650
0
0
0
0
0
0
0
0
34F1
980
620
2430
1019
1500
3862
1688
330
160
0
0
0
88
415
34F2
111940
150911
168197
191133
153922
185403
108377
123089
132441
183256
98530
185684
237845
142152
34F3
201933
199914
146381
111809
128137
140915
151552
225675
218625
226651
132191
109010
196878
151362
34F4
71233
60795
72987
54917
55059
78771
90022
115838
134901
140205
85035
55253
55790
63085
34F5
0
200
100
520
2024
0
625
2170
50
480
0
50
0
411
34F6
200
0
100
2500
100
0
200
0
0
0
0
0
0
0
34F7
0
0
0
0
0
0
0
0
0
0
0
0
0
39
58 of 62
Report number C110/12
35F0
0
400
50
150
280
400
520
0
0
0
200
0
140
0
35F1
8471
4629
4991
25566
9168
8430
7332
8883
5449
7562
4020
3833
5447
6234
35F2
129245
133157
75349
114339
108074
99654
100604
83137
87345
118987
70888
87834
85307
46269
35F3
200092
223307
143920
157058
103231
111691
152901
211911
168586
262296
101996
93701
89388
67308
35F4
104088
103329
66114
58975
45974
62817
64569
102682
108830
83151
53815
32189
28726
40198
35F5
3578
2050
2100
1195
1488
1830
883
1267
2520
775
1142
553
340
242
35F6
0
0
0
250
1090
260
259
0
250
0
2545
0
0
0
36F0
9675
8045
17199
17750
18654
8265
10779
14434
15625
2650
5113
5042
13399
10476
36F1
39825
54688
34966
62019
42458
31019
30227
28596
42120
21852
13381
19904
21740
35142
36F2
70708
125574
72090
73935
33959
28819
39102
54649
54848
62712
18462
25067
23323
26218
36F3
80032
106011
43023
49332
26253
34878
44074
93313
64093
70133
39099
53824
63309
44712
36F4
103672
205247
60024
98118
68318
99702
157285
216273
184578
174848
140084
90634
73012
55089
36F5
45558
79728
34772
60811
42974
49038
57985
103463
79569
102281
75773
33878
37939
20459
36F6
12505
14529
13686
12594
5130
1950
7435
9849
5820
12051
5499
8179
6656
3602
36F7
4010
6275
3800
3360
790
1110
4150
4707
2879
3132
6896
3619
14982
280
36F8
40
0
0
0
0
200
0
0
0
0
0
0
0
0
37E9
0
0
250
0
0
0
0
0
0
0
0
0
0
0
37F0
79222
99740
78928
62205
30985
19201
16896
23756
21382
12744
5306
10028
14899
18030
37F1
155504
209709
157248
99310
61535
51354
51514
58008
61938
50406
15395
23309
30699
41025
37F2
192771
346595
166552
46898
48713
51218
47535
44750
18949
30602
4256
8460
11218
19285
37F3
82475
112285
34375
26737
14195
13070
11925
10781
10018
8999
3395
4975
4332
22529
37F4
91618
97170
41521
35374
33430
26181
34742
36453
24788
34055
9996
16383
37928
44217
37F5
95656
109511
51128
70514
32949
44848
74777
94629
94748
131100
61543
64589
104525
126436
37F6
343629
293909
305882
252931
106136
115793
202453
339159
400799
445610
243438
216459
220650
285527
37F7
302072
284359
175201
214145
80994
78907
151340
223589
220319
400674
330958
188099
196304
239591
37F8
120
0
0
0
250
0
0
0
0
0
960
0
760
80
38E8
0
0
0
980
0
0
0
0
0
0
0
0
0
0
38E9
190
175
240
930
1960
40
810
1365
0
120
0
0
0
0
38F0
14169
16138
17313
9645
7630
5720
1295
4220
750
2154
675
40
261
1798
38F1
47670
68520
24200
6027
3020
9280
7605
1375
750
600
0
0
200
133
38F2
335190
542889
213999
30600
30995
46915
43875
15720
9430
11746
2757
1046
1320
3581
38F3
177733
261876
41852
14709
12935
18425
1952
3128
2455
2475
1960
180
822
3517
38F4
38371
61997
21023
9835
14220
14588
4110
7330
2435
5856
2320
1938
7267
15259
38F5
30087
46293
34847
20691
20651
25065
20879
23703
31113
27531
18655
15362
24820
24425
38F6
110958
175141
150377
71322
74137
64886
49465
102301
126349
162368
95112
79716
149554
117538
38F7
4025
22845
5965
11880
5200
2260
1585
3900
26529
16205
9440
2909
410
340
38F8
0
100
500
550
810
0
0
0
0
200
0
0
0
0
39F0
2265
1380
140
0
200
0
0
0
80
0
0
0
0
0
39F1
11356
6100
790
1640
680
3980
2760
700
100
80
0
0
0
467
39F2
78845
51332
26155
7615
10785
26435
9545
14095
10700
300
0
1226
1730
4725
39F3
94945
102337
92190
37784
20063
32181
13298
13360
28225
4555
6075
2987
10163
6544
39F4
57879
108388
56232
33711
28856
30255
6490
18295
7675
420
6221
4022
23857
9518
39F5
14357
20665
18238
19286
35420
25954
12059
24306
10381
6126
3507
5319
7303
6527
39F6
58927
68848
78228
52609
67424
84005
24709
55425
65483
52659
50116
26576
68846
66293
39F7
4065
4835
19185
32801
36641
22395
17708
23530
37102
41610
11860
3949
7783
6200
39F8
0
0
0
0
100
0
0
0
0
0
0
0
0
0
40E9
150
0
0
0
0
0
0
0
0
0
0
0
0
0
40F0
80
0
0
0
0
0
0
40
0
0
0
0
0
0
40F1
1290
300
0
0
0
0
0
0
0
0
0
0
0
180
40F2
13200
3770
1405
900
1030
2270
1320
1790
678
40
0
80
0
989
40F3
18806
15766
27037
8645
8707
4760
4920
3350
12580
160
800
4853
1005
8958
40F4
51180
91624
86746
42175
15031
60109
35990
28765
34049
1710
39846
4577
14136
37630
40F5
5195
18716
18656
9090
14512
22651
13550
6790
5960
5756
12528
949
3770
9087
40F6
11195
21775
26922
26047
16122
36415
9531
19355
31077
27072
7085
14031
21671
28722
40F7
1750
5520
15100
26110
7220
8940
2040
24654
24620
132580
6200
9202
23983
19274
41F1
240
600
0
0
0
0
0
0
0
0
0
0
0
0
41F2
3315
20
0
0
0
0
0
0
0
0
0
0
0
0
41F3
378
585
0
0
0
800
0
25
0
340
0
0
0
0
41F4
1120
7581
1370
2160
1760
1875
1380
2455
2880
1445
735
0
1259
320
41F5
3448
6745
2295
5768
1070
2760
5560
4350
9663
3851
2620
4759
2730
1974
41F6
5555
4370
6850
12819
7220
6545
16770
9155
33210
10757
100
11536
4506
2395
41F7
320
480
640
7085
0
1300
2790
2460
5610
7450
80
776
2630
560
42F2
0
80
140
0
70
25
0
0
40
70
0
0
0
0
42F3
1014
753
226
35
130
1360
1900
0
950
300
500
0
0
0
42F4
955
2557
2030
2780
365
650
0
580
3596
835
1235
0
0
0
42F5
2193
2315
225
780
550
760
3615
90
1055
940
0
636
80
160
42F6
3520
3590
735
1100
1755
4710
12260
2800
17097
5480
680
9760
3241
3001
42F7
5350
80
0
120
0
280
100
1860
6800
1825
3117
940
974
1609
42F8
0
0
0
0
0
0
1000
0
0
0
0
0
170
0
43E8
0
0
0
0
0
0
320
0
0
0
0
0
0
0
43F2
130
900
660
0
60
30
0
0
0
0
0
0
0
0
43F3
2236
4016
1509
360
125
1890
40
0
230
130
0
0
0
0
43F4
540
1892
190
0
345
240
375
910
1060
2235
180
65
0
0
43F5
215
2230
825
5
0
300
1095
405
45
1080
2110
5
0
0
43F6
225
130
1640
40
80
1580
540
3700
7080
1050
2621
1254
48
80
43F7
2426
370
360
365
0
11715
8953
17864
25253
13420
10523
3057
2199
4636
Report number C110/12
59 of 62
44F2
270
400
455
40
20
140
0
30
170
0
0
0
0
0
44F3
780
730
310
0
0
1000
5
90
1500
0
0
0
0
0
44F4
20
335
100
0
60
0
315
120
560
290
1545
460
0
0
44F5
0
280
40
0
0
0
0
20
250
470
150
10
0
0
44F6
0
40
0
0
0
0
0
0
0
0
0
0
0
0
45F2
0
0
0
0
0
40
0
40
0
0
0
0
0
0
45F3
40
140
40
0
0
0
110
90
225
0
25
0
0
0
45F4
0
0
0
25
0
0
0
0
0
86
0
0
0
0
45F5
0
80
0
0
0
0
0
0
2625
0
0
0
0
0
46F5
0
120
0
0
0
0
0
0
0
0
0
0
0
0
46F6
0
0
0
285
0
0
0
0
0
0
0
0
0
0
49F4
0
0
0
0
0
0
0
760
0
0
0
0
0
0
49F5
0
0
0
0
0
0
0
400
0
0
0
0
0
0
52F3
0
0
0
0
0
0
0
365
0
0
0
0
0
0
Table D-5 DAB LPUE (kg landings/days at sea by 1471 kW vessel, see equation 1). First LPUE calculated by rectangle, subsequently averaged over the rectangles (for Dutch beam trawlers > 221kW). Source: VISSTAT Year
1998 173
LPUE
1999 201
2000 154
2001 143
2002 133
2003 141
2004 145
2005 177
2006 185
2007 232
2008 202
2009 160
2010 194
2011 157
Table D-6 NL Dab LPUE (kg/day at sea by 1471kW vessel) per age and year. No market sampling was done in 2008. age
year
2002
2003
2004
2005
2006
2007
2009
2010
2011
2
0.6
13.9
15.4
1.8
17
12.1
4.2
0.5
9.7
3
16
28.9
31.5
31.1
69.5
37.3
25.6
15.8
21.2
4
33.2
32
34.1
43.5
36.2
61.5
25.3
39
34
5
36.8
33
29.6
33.7
36.2
42.9
32.4
44.1
39.4
6
27.9
18
19.3
32.9
5.9
42
43.5
38.4
23.9
7
9.5
11.9
9.0
24
11.8
4.7
8.4
35.2
14.9
8
6.5
1.6
5.8
4.4
6.7
18.7
16.2
8.0
10.9
9
2.4
0.5
0
5.3
0
2.8
2.3
8.5
0.4
10
0
0.5
0
0
1.5
0
2.0
1.3
2.1
11
0.6
0
0
0
0
10.3
0
2.9
0
12
0
0.5
0
0
0
0
0
0
0.2
13
0
0
0
0
0
0
0.3
0
0
15
0
0
0
0
0
0
0
0
0.2
19
0
0
0
0
0
0
0
0.3
0
2004 183 217 106 0 0 0 0 194 194 137 214 0 0 128 109 159 0 0 109 93 98
2005 160 187 206 0 0 0 89 134 168 118 178 0 174 123 106 164 36 0 67 95 126
Table D-7 Dab LPUE by rectangle (kg per day). 31F1 31F2 31F3 31F4 31F5 31F6 32F0 32F1 32F2 32F3 32F4 32F5 33F1 33F2 33F3 33F4 33F5 34F0 34F1 34F2 34F3
60 of 62
1998 152 156 271 0 0 213 0 160 155 212 151 0 143 141 182 189 0 0 103 99 134
1999 150 173 154 0 0 0 0 165 179 182 241 0 65 127 181 202 0 0 79 131 182
2000 176 179 114 0 22 0 0 136 176 223 667 0 0 132 150 137 0 34 96 131 107
2001 166 219 275 0 0 0 0 153 199 206 384 0 144 95 124 183 0 106 119 140 84
2002 126 217 111 0 0 0 0 83 178 212 411 0 112 120 100 149 298 0 100 105 70
2003 145 197 195 0 0 0 0 227 177 153 345 13 107 116 104 149 0 185 110 114 83
2006 146 182 159 0 0 0 0 119 137 134 80 0 78 102 126 158 0 0 154 100 149
2007 203 377 357 0 0 0 0 141 259 400 181 0 0 151 273 377 0 0 0 142 198
2008 291 567 342 0 0 0 0 162 348 426 384 0 0 166 256 389 0 0 0 100 144
2009 173 445 243 0 0 0 0 202 271 279 0 0 28 147 142 551 0 0 0 117 122
2010 245 314 621 0 0 0 0 103 201 292 0 0 0 155 178 361 0 0 19 159 173
2011 0 252 0 0 0 0 0 44 179 316 0 0 166 108 208 208 0 0 66 87 158
Report number C110/12
34F4 34F5 34F6 34F7 35F0 35F1 35F2 35F3 35F4 35F5 35F6 36F0 36F1 36F2 36F3 36F4 36F5 36F6 36F7 36F8 37E9 37F0 37F1 37F2 37F3 37F4 37F5 37F6 37F7 37F8 38E8 38E9 38F0 38F1 38F2 38F3 38F4 38F5 38F6 38F7 38F8 39F0 39F1 39F2 39F3 39F4 39F5 39F6 39F7 39F8 40E9 40F0 40F1 40F2 40F3 40F4 40F5 40F6 40F7 41F1 41F2 41F3 41F4 41F5 41F6 41F7 42F1 42F2 42F3 42F4 42F5 42F6 42F7 42F8 43E8 43F2
126 0 69 0 0 66 102 116 115 77 0 133 102 116 112 86 98 116 208 37 0 115 145 197 125 66 79 170 394 95 0 94 54 354 590 438 112 92 156 189 0 40 132 349 346 237 164 152 388 0 29 49 49 142 341 298 157 165 148 0 316 105 223 178 87 114 0 0 39 79 127 88 153 0 0 17
151 214 0 0 287 130 120 156 142 88 0 244 147 151 137 135 103 133 171 0 0 248 252 265 164 99 89 141 309 0 0 35 130 471 509 411 110 80 147 271 75 63 189 413 484 364 171 211 162 0 0 0 83 148 548 421 259 183 236 82 10 31 127 261 111 241 0 29 37 84 78 97 69 0 0 279
Report number C110/12
93 85 145 0 61 111 102 99 91 76 0 202 171 163 79 59 51 118 199 0 125 220 211 287 124 54 44 123 182 0 0 36 160 313 586 386 56 58 113 146 36 128 166 344 371 291 90 104 176 0 0 0 0 179 256 294 177 72 163 0 0 0 137 52 73 241 0 46 38 32 54 48 0 0 0 59
91 143 2783 0 165 141 102 88 73 53 59 184 156 110 65 55 57 119 115 0 0 194 143 91 73 56 67 123 294 0 93 45 90 150 237 176 52 63 88 194 81 0 160 201 249 198 99 100 166 0 0 0 0 83 219 274 187 108 346 0 0 0 174 203 100 252 0 0 10 87 207 73 58 0 0 0
73 52 87 0 61 87 78 74 61 84 163 142 102 73 46 52 49 69 59 0 0 109 88 92 51 56 50 79 130 313 0 106 91 86 329 181 81 70 110 141 85 175 87 268 227 303 226 142 193 124 0 0 0 265 263 289 513 143 190 0 0 0 149 105 89 0 0 15 7 36 42 99 0 0 0 46
81 0 0 0 59 64 81 90 81 104 57 121 90 69 61 67 72 93 140 53 0 120 88 78 46 58 66 125 179 0 0 35 112 121 174 190 68 87 136 173 0 0 224 200 178 178 183 232 221 0 0 0 0 163 211 275 346 237 323 0 0 90 120 128 165 606 0 9 100 14 140 180 0 0 0 0
104 48 122 0 96 73 82 104 102 71 216 146 97 85 84 111 100 123 186 0 0 118 90 109 69 89 105 153 201 0 0 58 57 95 172 129 141 102 141 233 0 0 115 137 177 199 196 186 237 0 0 0 0 114 114 188 435 137 188 0 0 0 141 239 156 57 0 0 190 0 215 173 40 748 172 0
141 227 0 0 0 77 101 163 151 159 0 231 127 133 153 156 166 156 276 0 0 162 121 130 96 100 127 234 307 0 0 76 135 163 131 145 113 138 196 219 0 0 73 183 178 277 296 234 270 0 0 9 0 157 183 314 311 231 402 0 0 24 39 261 241 167 0 0 0 24 32 92 61 0 0 0
157 62 0 0 0 68 93 156 159 144 49 227 165 146 152 162 164 174 275 0 0 133 126 117 131 115 133 274 386 0 0 0 38 71 142 118 118 151 206 661 0 11 69 204 276 170 246 210 386 0 0 0 0 173 273 301 214 183 320 0 0 0 74 186 171 179 0 40 43 39 73 201 219 0 0 0
181 116 0 0 0 77 143 189 137 161 0 154 157 144 149 134 167 197 233 0 0 152 170 118 93 89 155 297 559 0 0 68 50 93 126 164 66 141 259 562 246 0 16 98 413 190 194 297 530 0 0 0 0 29 0 219 499 277 632 0 0 107 69 173 235 209 0 0 250 43 240 125 92 0 0 0
146 0 0 0 179 64 112 138 128 104 493 173 112 95 132 139 182 355 570 0 0 142 124 44 53 51 119 279 350 1176 0 0 79 0 63 84 35 69 241 182 0 0 0 0 148 221 89 287 535 0 0 0 0 0 315 509 381 159 446 0 0 0 184 118 118 78 0 0 480 80 0 70 325 0 0 0
130 53 0 0 0 64 96 110 98 83 0 137 98 68 106 87 114 208 281 0 0 175 121 69 47 55 110 240 323 0 0 0 41 0 34 12 64 74 192 250 0 0 0 57 84 162 119 151 246 0 0 0 0 90 136 142 116 168 287 0 0 0 0 123 308 164 0 0 0 0 243 266 151 0 0 0
100 0 0 0 124 54 115 133 90 46 0 202 108 74 107 95 124 228 472 0 0 162 148 68 47 116 128 276 427 825 0 0 96 90 88 75 165 131 289 120 0 0 0 123 456 491 262 302 414 0 0 0 0 0 63 171 145 203 485 0 0 0 128 99 146 180 0 0 0 0 41 142 75 61 0 0
127 0 0 0 0 35 59 112 110 42 0 347 159 65 69 138 202 160 0 0 0 480 157 62 36 126 277 391 357 0 0 0 475 66 62 17 196 139 303 0 0 0 0 0 0 153 134 249 206 0 0 0 36 0 75 127 197 241 260 0 0 0 0 101 0 0 0 0 0 0 0 0 0 0 0 0
61 of 62
43F3 43F4 43F5 43F6 43F7 44F2 44F3 44F4 44F5 44F6 45F2 45F3 45F4 45F5 46F5 46F6 49F4 49F5 52F3
62 of 62
26 25 16 49 51 20 37 8 0 0 0 17 0 0 0 0 0 0 0
84 93 63 19 24 91 48 9 7 4 0 18 0 18 16 0 0 0 0
30 20 40 40 24 27 20 2 1 0 0 4 0 0 0 0 0 0 0
54 0 1 46 48 17 0 0 0 0 0 0 4 0 0 132 0 0 0
10 13 0 22 0 8 0 4 0 0 0 0 0 0 0 0 0 0 0
79 73 293 217 187 7 68 0 0 0 39 0 0 0 0 0 0 0 0
30 52 63 59 162 0 0 5 0 0 0 15 0 0 0 0 0 0 0
0 62 26 242 162 2 11 5 4 0 10 13 0 0 0 0 209 220 84
48 41 7 262 175 20 61 27 16 0 0 11 0 0 0 0 0 0 0
39 75 57 62 120 0 0 6 23 0 0 0 15 0 0 0 0 0 0
0 0 113 464 189 0 0 43 28 0 0 11 0 0 0 0 0 0 0
0 31 5 316 102 0 0 24 3 0 0 0 0 0 0 0 0 0 0
0 0 0 44 91 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Report number C110/12