Gladstone Fish Health Investigation 2011 - 2012 - Western Basin ...

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3.5 Full categorical dataIn addition to just the binary contrasts (of ‘class zero’ vs. ‘the others’, in Table 3.6), we also looked at thedistributions of counts across all categories. However, these showed little of apparent interest, except thatmost categories were observed at most of the locations (including the reference sites). These overallcounts are summarised in Table 3.7a to 3.7f.Table 3.7a. Skin cat egories – counts by locations.SK0 SK1 SK2 SK3 SK4Fitzroy R 505 1 29 3 0Bundaberg 326 0 8 2 0Hamilton Pt 18 3 6 4 1Calliope R 47 4 5 2 0Harbour 392 1 0 0 0Spoil Grounds 5 0 0 0 0Upper Boyne R 36 0 0 6 0Lower Boyne R 47 1 15 0 3Rodds Bay 24 0 2 1 2Lake Awoonga 5 0 0 0 0Table 3.7b. Lesion categories – counts by locations.L0 L1 L2 L3 L4Fitzroy R 526 2 3 1 6Bundaberg 334 1 1 0 0Hamilton Pt 28 1 3 0 0Calliope R 52 1 4 0 1Harbour 393 0 0 0 0Spoil Grounds 5 0 0 0 0Upper Boyne R 28 3 9 0 2Lower Boyne R 41 0 24 0 1Rodds Bay 27 0 2 0 0Lake Awoonga 5 0 0 0 0Table 3.7c. Gonad c ategories – counts by locations.F1 F2 M1 M2 UnclearFitzroy R 13 3 5 2 36Bundaberg 4 22 3 6 23Hamilton Pt 4 13 0 1 3Calliope R 5 23 0 1 11Harbour 0 0 0 0 0Spoil Grounds 1 1 0 1 2Upper Boyne R 4 11 1 2 18Lower Boyne R 2 14 0 1 24Rodds Bay 8 4 3 0 14Lake Awoonga 0 0 0 0 5111
Table 3.7d. Spleen categories – counts by locations.BlackenlargedBla ckgranularBlac knodula r Othe rRedgranularRednodularFitzroy R 0 40 0 7 11 1Bundaberg 0 42 3 1 12 0Hamilton Pt 0 20 0 1 0 0Calliope R 0 27 0 3 9 1Harbour 0 0 0 0 0 0Spoil Grounds 0 5 0 0 0 0Upper Boyne R 0 26 0 0 10 0Lower Boyne R 1 25 0 0 14 1Rodds Bay 0 8 1 0 20 0Lake Awoonga 0 5 0 0 0 0Table 3.7e. Mesentary fat categories – counts by locations.None 50%CompletelycoveredFitzroy R 37 6 3 3 10Bundaberg 24 20 9 0 5Hamilton Pt 20 1 0 0 0Calliope R 29 5 5 0 1Harbour 0 0 0 0 0Spoil Grounds 3 1 1 0 0Upper Boyne R 22 1 2 0 11Lower Boyne R 29 3 0 1 8Rodds Bay 11 15 1 0 2Lake Awoonga 0 0 0 2 3Table 3.7f. Bile categories – counts by locations.DarkgreenEmpty o rnot visibleLightgreenYellowFitzroy R 12 3 26 18Bundaberg 11 13 19 15Hamilton Pt 1 0 7 13Calliope R 1 4 20 15Harbour 0 0 0 0Spoil Grounds 4 0 1 0Upper Boyne R 7 4 11 14Lower Boyne R 4 1 13 23Rodds Bay 0 0 3 26Lake Awoonga 0 5 0 03.6 Overall (multivariate patterns)Relationships amongst the continuous variables can be measured by the correlation coefficient, r. Table3.8 lists these values for the size measures and the variables in Table 3.6. Correlations between the binaryvariables are indicative only, but do show the direction and relative strength of these relationships.112
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Department of Agriculture, Fisherie
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ContentsTable of tables 1Table of f
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Mullet (Mugilidae) 80Banana prawn (
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Figure 7. Barramundi caught in the
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Figure 38. Sharks caught in the Cal
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Phase 1 (August 2011-February 2012)
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The results in this study support t
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ecognised expertise and research pu
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Mr Mitchell reported high catches u
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Figure 2. Sampling sites within the
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Phase 2: Expanded Gladstone Fish He
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Mud crab (Scylla serrata): Mud crab
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For mud crabs, hepatopancreas, gill
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Table 2. The number of fish, crusta
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Significant findings and discussion
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Commercial barramundi catch and cat
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Figure 6. Eye condition observed in
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Conditions observed in barramundi s
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Figure 12. A barramundi caught in t
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provided another environmental stre
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was somewhat reduced because post-m
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4,000Commercial effort (days fished
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Size structure of mud crabs observe
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Figure 21. Examples of shell abnorm
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Of the 58 crabs observed to have sh
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HistopathologyLipid storage vacuola
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Commercial fishing effort for mulle
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Figure 28. (a) Mullet caught in Rod
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June/July: Mullet samples were coll
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Sharks and raysThe monitoring progr
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Observational findings Phase 1Phase
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Encysted larval parasites were foun
Page 65 and 66: in particular bull sharks, have bee
Page 67 and 68: Commercial banana prawn catch for t
Page 69 and 70: Observational findings Phase 2April
Page 71 and 72: Laboratory testing Phase 1Seven riv
Page 73 and 74: four displayed signs of redness. Th
Page 75 and 76: Conditions observed in pelagic fish
Page 77 and 78: FinfishObservational findingsDuring
Page 79 and 80: ConclusionsIn 2011, a wide range of
Page 81 and 82: Mud crabsFisheries Queensland did n
Page 83 and 84: Owens, L. 1983. Bopyrid isopod Epip
Page 85 and 86: Candidate speciesThe monitoring pro
Page 87 and 88: Table 1: Candidate species for each
Page 89 and 90: Sample processingSample processing
Page 91 and 92: Herring/grinner/Australian threadfi
Page 93 and 94: For example: the third specimen, re
Page 95 and 96: oooGonad - present/absentHepatopanc
Page 97 and 98: Cloudy eye,swollen,redness orhemorr
Page 99 and 100: Red pin pointmarks - nogeneral redn
Page 101 and 102: Lesion photos Description GradeThis
Page 103 and 104: L4continuedoperculumgrazing;cuts or
Page 105 and 106: Appendix A-3: Fish health assessmen
Page 107 and 108: Appendix B - Statistical report: Gl
Page 109 and 110: analyses, but this was not done for
Page 111 and 112: was a significant (P < 0.05) locati
Page 113 and 114: Percentage with fin condition > 015
Page 115: Table 3.6b. Effects of locations an
Page 119 and 120: 32Bundy2Bundy1UpBoyne1UpBoyne2LwBoy
Page 121 and 122: Table 3.9c. Regional group means an
Page 123 and 124: Table 4.2c. Effects of locations an
Page 125 and 126: 4.5 Summarising by regionsThe means
Page 127 and 128: Ta ble 5.2a. Effects of locations a
Page 129 and 130: 5.5 Summarising by regionsThe means
Page 131 and 132: 6.3 ResultsThere was no significant
Page 133 and 134: Table 6.5 lists the mean values whe
Page 135 and 136: Standardized residualsStandardized
Page 137 and 138: Table 2.3f. Muscle lesions.Lake Fit
Page 139 and 140: Table 4. 1f. Muscle lesions.Fitzroy
Page 141 and 142: Table 5.6. Regiona l m eans for the
Page 143 and 144: Contaminants in Tissue ofFish and C
Page 145 and 146: Contaminants in Tissue of Fish and
Page 151 and 152: Department of Science, Information
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Department of Science, Information
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Appendix E - Time line BarraBy John
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friends. Rapidly rising flood water
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To make note - condition loss was e
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May/June- FinsMy initial observatio
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Thes e escapee were now also in awo
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Figure N. Barramundi showing net ma
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September- Deaths and SicknessFigur
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There is numerous distinguishing fe
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Department of Agriculture, Fisherie
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