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Status of Exploited Marine Fishes and Invertebrates in German Marine Waters Rainer Froese, GEOMAR Cluster Meeting ökosystemgerechte Fischerei Bundesamt.

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Presentation on theme: "Status of Exploited Marine Fishes and Invertebrates in German Marine Waters Rainer Froese, GEOMAR Cluster Meeting ökosystemgerechte Fischerei Bundesamt."— Presentation transcript:

1 Status of Exploited Marine Fishes and Invertebrates in German Marine Waters Rainer Froese, GEOMAR Cluster Meeting ökosystemgerechte Fischerei Bundesamt für Naturschutz, Insel Vilm, 11.11.13

2 MSFD Descriptor 3 1.The level of pressure of the fishing activity, measured either as fishing mortality F relative to the one associated with the maximum sustainable yield (F msy ) or, if F is unknown, the ratio between catch and biomass, with a reference point that is compatible with F msy. 2.The spawning stock biomass SSB relative to the one that can produce the maximum sustainable yield (SSB msy ) or other suitable biomass indices. 3.The age and size distribution within the population, with the sub- indicators i.Proportion of fish larger than the mean size of first sexual maturation; ii.Mean maximum length across all species found in research vessel surveys; iii.95 % percentile of the fish length distribution observed in research vessel surveys; iv.Size at first sexual maturation [relative to historic sizes], which may reflect the extent of undesirable genetic effects of exploitation.

3 MSFD Descriptor 3.1: F F and Fmsy available only for fully assessed stocks (most stocks are data-limited) Natural mortality M is a proxy for Fmsy M can be estimated for all stocks Total mortality Z can be estimated from DATRAS survey data F = Z – M M / F is the chosen 3.1 indicator (positive if F < M)

4 How to Estimate Z Number of cohort members declines with age due to total mortality rate Z DATRAS gives CPUE by length class Get CPUE of first fully selected length class Determine length in 1, 2, 3 subsequent years Get CPUE in subsequent years for these lengths Fit regression line to ln(CPUE) Absolute slope of line is Z

5 Example of Estimating Z BfN_11_11_13.xlsx

6 Example North Sea Dab

7 MSFD Descriptor 3.2: SSB SSB only available for fully assessed stocks SSBmsy not given by ICES 2 * SSBpa is reasonable proxy for SSBmsy CPUE from DATRAS can be used as a proxy for SSB Proxy SSBpa can be derived as CPUE below which number of young fish in survey declines SSB / SSBmsy or the respective proxies are the chosen 3.2 indicator

8 Example North Sea Dab

9 Example of Estimating SSBpa

10 Example North Sea Dab

11 MSFD Descriptor 3.3: Age and Size Age and size distribution within the population, with the sub-indicators i.Proportion of fish larger than the mean size of first sexual maturation; ii.Mean maximum length across all species found in research vessel surveys; iii.95 % percentile of the fish length distribution observed in research vessel surveys; iv.Size at first sexual maturation [relative to historic sizes], which may reflect the extent of undesirable genetic effects of exploitation. ‘Across all species’ not suitable for population status

12 MSFD Descriptor 3.3: Age and Size Age and size distribution within the population, with the sub-indicators i.Proportion of fish larger than the mean size of first sexual maturation; ii.--- iii.95 % percentile of the fish length distribution observed in research vessel surveys; iv.Size at first sexual maturation [relative to historic sizes], which may reflect the extent of undesirable genetic effects of exploitation. Not visible in short time series

13 MSFD Descriptor 3.3: Age and Size Age and size distribution within the population, with the sub-indicators i.Proportion of fish larger than the mean size of first sexual maturation; ii.--- iii.95 % percentile of the fish length distribution observed in research vessel surveys; iv.--- Inversely sensitive to recruitment DATRAS biased towards large fish

14 MSFD Descriptor 3.3: Age and Size Age and size distribution within the population, with the sub-indicators i.Proportion of fish larger than the mean size of first sexual maturation; ii.-- iii.-- iv.-- Mean length in commercial catches relative to length where 90% of the females have reached maturity is the chosen indicator

15 Abundance in German Marine Waters Indicators selected so far operate for the stock as a whole Abundance in German marine waters is therefore selected as fourth sub-indicator for stock status Such abundance can be derived as CPUE-by- area from DATRAS Mean CPUE in time series is only available reference point

16 Example North Sea Cod

17 How Good are the Proxies? SpeciesStockNS / BS SSB / pSSB msy proxySSB / proxySSB msy M / F 2M / Z Codcod-347d*NS0.150.170.430.68 cod-2224*BS0.440.470.360.30 cod-2532*BS0.43 0.680.44 Herringher-47d3*NS0.710.463.47NA her-3a22*BS0.540.570.620.54 Plaiceple-nsea*NS0.870.440.430.69 Solesol-nsea*NS0.440.540.28NA Spratspr-2232*BS0.830.370.97NA Most results are very similar. All proxies are on the correct side of the threshold.

18 Getting Summary Indicators for every Stock

19 Getting an Overall Indicator The overall indicator is the percentage of stocks that obtained a score >= 1

20 Overall Indicator

21 Sub-Indicator for Stock Size Low stock size determines low overall status

22 Sub-Indicator for Fishing Mortality Continuing overfishing prevents recovery

23 Sub-Indicator for Size & Age Positive bias because of reduced size & age at maturity

24 Sub-Indicator for Abundance Positive bias because of low reference point

25 Next Steps Publish results to highlight overfished status of most data-limited stocks Combine proxy indicators with analysis of catch data Establish robust system to classify relative stock size of data-limited stocks Devise simple, precautionary, ecosystem- based harvest control rules for data-limited stocks


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