Interim report of the HELCOM CORESET project

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180 Technical data Metadata This is an indicator to estimate the cumulative impact of anthropogenic pressures on benthic habitats. It measures the amount of each habitat type being signifi cantly impacted by cumulative impacts. The indicator is targeted to be used in the HELCOM biodiversity assessments and to assess the EU MSFD GES criteria 1.6 and 6.1. Description of data Metadata and the maps of each of the pressure data layers are available in the HELCOM Data and Map Service (http://maps.helcom.fi ). The benthic habitats are from the EUSeaMap project: http://jncc.defra.gov.uk/page-5020. Data source EUSeaMap (raster, cell size/resolution 276m) Relevant anthropogenic (physical) pressure data from prior projects (HELCOM HOLAS) were selected: Dredging, Dumping, Windfarms, Oil rigs, cables and pipelines, coastal defense structures, bridges and dams, bathing sites, coastal shipping
Methodology of data analyses – The main tool used for data preparation and analyses are version ArcGIS 9.3.1 with Spatial Analyst extension. – In case the original pressure layers had point or polyline feature characteristics they were converted to polygon shapefi les using an individual buffer for each pressure layer: – shipping in shallow water (
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Baltic Sea Environment Proceedings
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2 Helsinki Commission Katajanokanla
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4 4.16. Cumulative impact on benthi
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6 descriptions of the indicators. T
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8 The CORESET expert group on biodi
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10 fi sh stocks and change in diet,
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12 Figure 2.3. The prevalence of pr
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14 Seasonal changes in blubber thic
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16 Blubber thickness suggestions Bl
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18 Weaknesses/gaps Monitoring of th
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20 2.3. Population growth rate of m
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22 Annual adult survival 1 0,95 0,9
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24 Existing monitoring data Informa
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26 References Bäcklin, B. M. 2011.
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28 Reproduction in the Baltic eagle
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30 Breeding success The proportion
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32 of the real number of nestlings
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34 Gaps and weaknesses Minimum dete
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36 2.5. Abundance of wintering popu
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38 Table 2.10. Pressures affecting
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40 Refrences Skov et al. (2000) Bir
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42 termined by application of the 7
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44 Approach for defi ning GES All s
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46 Sampling It is suggested to incl
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48 2.7. Fish population abundance 2
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50 Coastal Fish - Community Abundan
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52 When a reference data set cannot
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54 well, but were not included in t
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56 Weighting For Nordic Costal mult
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58 12. Current monitoring Monitored
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60 Błeńska M., Osowiecki A., Kra
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62 10. Spatial considerations Fucus
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64 2.15. Trend in the arrival of ne
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66 jectives is to reach “No intro
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68 Sweden Figure 2.23 shows the rat
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70 Strengths and weaknesses of data
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72 need to be revisited in light of
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74 Considering the data set availab
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76 In Denmark, the highest contamin
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78 Status of a compound on internat
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80 A temporal analysis (EU-RAR 2006
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82 Pathways of PFOS to the Baltic e
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84 In regions less affected by anth
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86 3.4. Polychlorinated biphenyls a
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88 actions related to the environme
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90 The CORESET expert group decided
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92 pheric deposition pattern (lowes
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94 3.5. Polyaromatic hydrocarbons (
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96 GES boundaries and matrix Existi
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98 Quality Assurance of PAH metabol
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100 Ariese F, Burgers I, Oudhoff K,
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102 GES boundaries and matrices Exi
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104 3.7. Cesium-137 Authors: Jürge
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106 Figure 3.5. Average surface lev
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108 Temporal trends in concentratio
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110 Other important sources are glo
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112 Conceptual model of the sources
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114 3.8 Tributyltin (TBT) and the i
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116 GES boundaries and matrix Exist
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118 Monitoring the compound Status
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120 Recommendation TBT measurements
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122 3. Frogs have been shown to app
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124 not fi sh (Köhler et al. 2002;
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126 The use of different fi sh spec
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128 Kirchin, M.A. Moore, M.N. Dean,
Page 132 and 133: 130 3.11. Fish Disease Index: Exter
Page 134 and 135: 132 Confounding factors The multifa
Page 136 and 137: 134 analyses ICES data from various
Page 138 and 139: 136 An EAC is the threshold beyond
Page 140 and 141: 138 3.12. Micronucleus test Authors
Page 142 and 143: 140 main nuclei were not counted as
Page 144 and 145: 142 ing national data sets. Note: t
Page 146 and 147: 144 Baršienė J. Rybakovas A. 2006
Page 148 and 149: 146 3.13 A. Reproductive disorders
Page 150 and 151: 148 dead larvae can be induced by s
Page 152 and 153: 150 Strand, J, Dahllöf, I. (2005).
Page 154 and 155: 152 of contaminants in sediments wi
Page 156 and 157: 154 Eriksson Wiklund, A-K., and Sun
Page 158 and 159: 156 4. Candidate indicators for bio
Page 160 and 161: 158 Zooplankton-phytoplankton bioma
Page 162 and 163: 160 4.2. By-catch of marine mammals
Page 164 and 165: 162 4.3. Impacts of anthropogenic u
Page 166 and 167: 164 4.4. Fatty-acid composition of
Page 168 and 169: 166 7. Use of the indicator in prev
Page 170 and 171: 168 10. Spatial considerations Balt
Page 172 and 173: 170 4.10. Large fi sh individuals f
Page 174 and 175: 172 11. Temporal considerations Sam
Page 180 and 181: 178 A proposal for an approach to a
Page 184 and 185: 182 F igure 4.1. Map showing the cu
Page 186 and 187: 184 4.17. Biomass of copepods 1. Wo
Page 188 and 189: 186 4.19. Zooplankton species diver
Page 190 and 191: 188 indirectly impacted by eutrophi
Page 192 and 193: 190 Notes for the GES boundary The
Page 194 and 195: 192 Step 3: Prepare a list of speci
Page 196 and 197: 194 4.22. Phytoplankton diversity 1
Page 198 and 199: 196 4. Policy relevance Nonylphenol
Page 200 and 201: 198 among different studies/measure
Page 202 and 203: 200 4.27. EROD/CYP1A induction The
Page 204 and 205: 202 5.1. Summary of all supplementa
Page 206 and 207: 204 Table 5.1. (continues) Suppleme
Page 208 and 209: 206 5.5. Biopollution level index 1
Page 210 and 211: 208 NIS for aquaculture purposes. O
Page 212 and 213: 210 Balanus improvisus Baltic Katte
Page 214 and 215: 212 Figure 5.3. The scheme for asse
Page 216 and 217: 214 5.6. Organochlorine compounds G
Page 218 and 219: 216 EU Directive 2008/105/ EC Daugh
Page 220 and 221: 218 Table 5.4. Monitoring of HCB, H
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