64Recovery rate comparis<strong>on</strong>s - 1999Data from 1999 were c<strong>on</strong>sistent with our initial predicti<strong>on</strong>, in that recovery rate estimates forc<strong>on</strong>trol sites exceeded point estimates for outbreak sites in five <str<strong>on</strong>g>of</str<strong>on</strong>g> six separate comparis<strong>on</strong>s(Figure 2). However, similar to 1998, <strong>the</strong> initial logistic regressi<strong>on</strong> model suggested aninteracti<strong>on</strong> effect between treatment <str<strong>on</strong>g>and</str<strong>on</strong>g> regi<strong>on</strong> (χ 2 = 4.57, df = 2, P = 0.102). Inspecti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong>actual recovery rates indicated that <strong>the</strong> interacti<strong>on</strong> was largely attributable to an anomalouspattern in <strong>the</strong> data from AB. Specifically, whereas recovery rate estimates for outbreak sites inSK <str<strong>on</strong>g>and</str<strong>on</strong>g> MB were c<strong>on</strong>sistently lower than corresp<strong>on</strong>ding estimates obtained from c<strong>on</strong>trol sites,results from AB were mixed (Figure 2). Accordingly, when recovery data from AB wereanalyzed separately from data obtained from <strong>the</strong> o<strong>the</strong>r two provinces, a significant effect <str<strong>on</strong>g>of</str<strong>on</strong>g>botulism was found for SK <str<strong>on</strong>g>and</str<strong>on</strong>g> MB, but not for AB (Table 3, Figure 2). Recovery rates <str<strong>on</strong>g>of</str<strong>on</strong>g> birdsb<str<strong>on</strong>g>and</str<strong>on</strong>g>ed at outbreak sites in SK <str<strong>on</strong>g>and</str<strong>on</strong>g> MB were, respectively, 44 <str<strong>on</strong>g>and</str<strong>on</strong>g> 18% lower (sexes pooled)than expected based <strong>on</strong> comparis<strong>on</strong>s with c<strong>on</strong>trol data (Figure 2).Recovery rate comparis<strong>on</strong>s - 2000Results from <strong>the</strong> 2000 field seas<strong>on</strong> were similar to those obtained in 1999: <strong>the</strong> initial logisticregressi<strong>on</strong> model revealed a significant treatment-by-regi<strong>on</strong> interacti<strong>on</strong> (χ 2 = 7.48, df = 2, P =0.024) <str<strong>on</strong>g>and</str<strong>on</strong>g> inspecti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> recovery rate estimates suggested that <strong>the</strong> interactive effect was largelydue to <strong>the</strong> pattern in AB differing from that observed in <strong>the</strong> o<strong>the</strong>r two provinces (Figure 3).Thus, we again treated data from AB separately in <strong>the</strong> final analysis. Results indicated a highlysignificant treatment effect in SK <str<strong>on</strong>g>and</str<strong>on</strong>g> MB (Table 4), with recovery rates <str<strong>on</strong>g>of</str<strong>on</strong>g> birds b<str<strong>on</strong>g>and</str<strong>on</strong>g>ed atoutbreak sites being 14-35% lower (sexes pooled) than expected based <strong>on</strong> comparis<strong>on</strong>s withc<strong>on</strong>trol data (Figure 3). Interestingly, <strong>the</strong> opposite pattern was evident in AB (Figure 3),although recovery rate differences between outbreak <str<strong>on</strong>g>and</str<strong>on</strong>g> c<strong>on</strong>trol sites in that province were <strong>on</strong>lymarginally significant (Table 4).Clean-up versus no clean-up <strong>on</strong> botulism-pr<strong>on</strong>e wetl<str<strong>on</strong>g>and</str<strong>on</strong>g>sOver all years, field crews working at botulism outbreaks sites trapped <str<strong>on</strong>g>and</str<strong>on</strong>g> released 6,594 adultsmallards (annual totals for 1998, 1999, <str<strong>on</strong>g>and</str<strong>on</strong>g> 2000 were 1,057, 1,679, <str<strong>on</strong>g>and</str<strong>on</strong>g> 3,858, respectively;Table 5). Partiti<strong>on</strong>ing data by sex <str<strong>on</strong>g>and</str<strong>on</strong>g> site, direct recovery rates ranged from 0-5.7% in 1998, 0-8.0% in 1999, <str<strong>on</strong>g>and</str<strong>on</strong>g> 0-16.7% in 2000 (Table 5). For reas<strong>on</strong>s explained above, recovery rates <str<strong>on</strong>g>of</str<strong>on</strong>g>males almost invariably exceeded those <str<strong>on</strong>g>of</str<strong>on</strong>g> females (Table 5).If carcass removal is effective at reducing botulism-related mortality, <strong>on</strong>e would expect recoveryrates <str<strong>on</strong>g>of</str<strong>on</strong>g> birds b<str<strong>on</strong>g>and</str<strong>on</strong>g>ed at managed sites to be greater than those <str<strong>on</strong>g>of</str<strong>on</strong>g> birds b<str<strong>on</strong>g>and</str<strong>on</strong>g>ed at unmanagedsites. Results from 1998 were c<strong>on</strong>sistent with this expectati<strong>on</strong>, in that recovery rates <str<strong>on</strong>g>of</str<strong>on</strong>g> birdsb<str<strong>on</strong>g>and</str<strong>on</strong>g>ed at Pakowki Lake, AB (a removal site) exceeded those <str<strong>on</strong>g>of</str<strong>on</strong>g> birds b<str<strong>on</strong>g>and</str<strong>on</strong>g>ed at Old WivesLake, SK (a n<strong>on</strong>-removal site; Table 5). However, formal analysis indicated that, afterc<strong>on</strong>trolling effects <str<strong>on</strong>g>of</str<strong>on</strong>g> sex <str<strong>on</strong>g>and</str<strong>on</strong>g> date <str<strong>on</strong>g>of</str<strong>on</strong>g> b<str<strong>on</strong>g>and</str<strong>on</strong>g>ing, differences between <strong>the</strong> two sites were no greaterthan expected based <strong>on</strong> sampling error (P = 0.651; Table 6). Similar results were obtained for1999 (Tables 5 <str<strong>on</strong>g>and</str<strong>on</strong>g> 6).
65Results from <strong>the</strong> 2000 field seas<strong>on</strong> were slightly more complex, in that <strong>the</strong> initial logisticanalysis revealed a significant sex-by-site interacti<strong>on</strong> (P = 0.008; Table 6). Accordingly, for thatyear, we assessed am<strong>on</strong>g-site variati<strong>on</strong> in recovery probability separately by sex. With respect toour central objective, results were mixed <str<strong>on</strong>g>and</str<strong>on</strong>g> generally did not support <strong>the</strong> predicted associati<strong>on</strong>between carcass removal <str<strong>on</strong>g>and</str<strong>on</strong>g> direct recovery rate. Am<strong>on</strong>g males, <strong>the</strong> recovery rate <str<strong>on</strong>g>of</str<strong>on</strong>g> birdsb<str<strong>on</strong>g>and</str<strong>on</strong>g>ed at <strong>on</strong>e removal site (Frank Lake, AB) was <strong>the</strong> highest observed in that year (Table 5), but<strong>the</strong> opposite was true <str<strong>on</strong>g>of</str<strong>on</strong>g> a sec<strong>on</strong>d removal site (Paysen Lake, SK; Table 5). Fur<strong>the</strong>r, logisticanalysis indicated that, overall, variati<strong>on</strong> am<strong>on</strong>g sites was no greater than expected (P = 0.23;Table 6), despite reas<strong>on</strong>ably large samples <str<strong>on</strong>g>of</str<strong>on</strong>g> b<str<strong>on</strong>g>and</str<strong>on</strong>g>ed individuals. Am<strong>on</strong>g females, <strong>the</strong> pattern <str<strong>on</strong>g>of</str<strong>on</strong>g>recovery rate variati<strong>on</strong> was c<strong>on</strong>sistent with our original predicti<strong>on</strong> (Table 5), but sample sizes inthis instance were extremely limited (e.g., <strong>on</strong>ly five recoveries from removal sites). Perhaps notsurprisingly, formal analysis again failed to distinguish am<strong>on</strong>g-site variati<strong>on</strong> from r<str<strong>on</strong>g>and</str<strong>on</strong>g>omsampling error (P = 0.20; Table 6).DISCUSSIONOur results lend c<strong>on</strong>siderable support to <strong>the</strong> suggesti<strong>on</strong> that, for mallards, exposure to botulismduring <strong>the</strong> post-breeding seas<strong>on</strong> can have a measurable impact <strong>on</strong> survival at <strong>the</strong> populati<strong>on</strong>level. In particular, analyses <str<strong>on</strong>g>of</str<strong>on</strong>g> b<str<strong>on</strong>g>and</str<strong>on</strong>g>ing data from SK <str<strong>on</strong>g>and</str<strong>on</strong>g> MB were uniformly c<strong>on</strong>sistent insupporting <strong>the</strong> predicted associati<strong>on</strong> between exposure to botulism <str<strong>on</strong>g>and</str<strong>on</strong>g> direct recoveryprobability. To <strong>the</strong> extent that recovery probability provides a relative index <str<strong>on</strong>g>of</str<strong>on</strong>g> late-summersurvival, data from SK <str<strong>on</strong>g>and</str<strong>on</strong>g> MB suggested a 14-44% reducti<strong>on</strong> in survival am<strong>on</strong>g mallards usingbotulism outbreak sites. This finding seems especially significant given that, in <strong>the</strong> absence <str<strong>on</strong>g>of</str<strong>on</strong>g>disease, late-summer survival rates <str<strong>on</strong>g>of</str<strong>on</strong>g> post-breeding mallards are thought to approach unity.In c<strong>on</strong>trast to <strong>the</strong> pattern observed in SK <str<strong>on</strong>g>and</str<strong>on</strong>g> MB, results from AB were mixed <str<strong>on</strong>g>and</str<strong>on</strong>g> generally didnot support <strong>the</strong> predicti<strong>on</strong> that mallards b<str<strong>on</strong>g>and</str<strong>on</strong>g>ed at outbreak sites would show reduced rates <str<strong>on</strong>g>of</str<strong>on</strong>g>direct recovery. Reas<strong>on</strong>s for this discrepancy are unclear. C<strong>on</strong>ceivably, differences in resultsobtained from <strong>the</strong> two areas might be attributable to regi<strong>on</strong>al variati<strong>on</strong> in factors such as timing<str<strong>on</strong>g>of</str<strong>on</strong>g> post-breeding activities <str<strong>on</strong>g>and</str<strong>on</strong>g>/or timing <str<strong>on</strong>g>and</str<strong>on</strong>g> extent <str<strong>on</strong>g>of</str<strong>on</strong>g> post-breeding movements. For instance, ifmallards in AB had, <strong>on</strong> average, completed post-breeding activities earlier in <strong>the</strong> seas<strong>on</strong>(resulting in a disproporti<strong>on</strong>ately high number <str<strong>on</strong>g>of</str<strong>on</strong>g> post wing-moult individuals in <strong>the</strong> b<str<strong>on</strong>g>and</str<strong>on</strong>g>edsample), many b<str<strong>on</strong>g>and</str<strong>on</strong>g>ed individuals might have emigrated from botulism study areas before <strong>the</strong><strong>on</strong>set <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> propagati<strong>on</strong> phase <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> disease, thus reducing <strong>the</strong>ir overall level <str<strong>on</strong>g>of</str<strong>on</strong>g> exposure.Alternatively, botulism outbreaks at <strong>the</strong> AB study sites may have been less severe than thoseoccurring at study sites in <strong>the</strong> o<strong>the</strong>r two provinces. It is possible that outbreaks at Kimiwan Lake<str<strong>on</strong>g>and</str<strong>on</strong>g> Frank Lake (both in AB) might have been less severe than initially assumed.To our knowledge, <strong>on</strong>ly <strong>on</strong>e o<strong>the</strong>r study has attempted to quantify effects <str<strong>on</strong>g>of</str<strong>on</strong>g> exposure tobotulism <strong>on</strong> rates <str<strong>on</strong>g>of</str<strong>on</strong>g> late-summer survival in waterfowl. Evelsizer et al. (Part II) deployed radiomarkedmallards <strong>on</strong> <strong>the</strong> same botulism outbreak sites as those used in <strong>the</strong> present study, <str<strong>on</strong>g>and</str<strong>on</strong>g>m<strong>on</strong>itored individual survival for a period <str<strong>on</strong>g>of</str<strong>on</strong>g> 30 days. They found that 30-day survival ratesranged from ~0.15 to >0.70, depending <strong>on</strong> <strong>the</strong> wetl<str<strong>on</strong>g>and</str<strong>on</strong>g> examined. An important distincti<strong>on</strong>
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Ecology an
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iiThe model of bot
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ivTABLE OF CONTENTSEXECUTIVE SUMMAR
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2Research from the 1970s supported
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4(Coburn and Quort
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6could potentially serve as substra
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8additional lakes and</stro
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10challenge because management assu
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12Rocke TE, Bollinger TK. 2007. <st
- Page 20 and 21: 14Table 1. Names and</stron
- Page 22 and 23: 16PART IEFFICACY OF CARCASS CLEAN-U
- Page 24 and 25: 18Our objectives were to determine:
- Page 26 and 27: 20marked carcasses potentially avai
- Page 28 and 29: 22Intensive search studyOn 18 Augus
- Page 30 and 31: 24if extrapolated to Whitewater Lak
- Page 32 and 33: 26Table 1. Characteristics
- Page 34 and 35: 28Table 3. Number of</stron
- Page 36 and 37: 30Table 5. Estimates of</st
- Page 38 and 39: Figure 2. Map of W
- Page 40 and 41: Figure 4. Variation of</str
- Page 42 and 43: 36PART IISURVIVAL OF RADIO-MARKED M
- Page 44 and 45: 38two lakes were subjected to carca
- Page 46 and 47: 40NecropsiesDead birds were include
- Page 48 and 49: 42were right censored. One hundred
- Page 50 and 51: 44design, possibly with a treatment
- Page 52 and 53: 46Rocke TE, Bollinger TK. 2007. <st
- Page 54 and 55: 48Table 2. Models used to assess ef
- Page 56 and 57: 50Table 4. Models used to evaluate
- Page 58 and 59: 52INTRODUCTIONMaggot-laden carcasse
- Page 60 and 61: 54among categories after creating a
- Page 62 and 63: 56LITERATURE CITEDBurnham KP, Ander
- Page 64 and 65: 58Table 2. Candida
- Page 66 and 67: 60PART IVLATE-SUMMER SURVIVAL OF MA
- Page 68 and 69: 62In each year of
- Page 72 and 73: 66between the present study <strong
- Page 74 and 75: 68Table 1. Number of</stron
- Page 76 and 77: 70Table 3. Logistic analyses evalua
- Page 78 and 79: 72Table 5. Direct recovery rates <s
- Page 80 and 81: 741210ControlBotulism</stro
- Page 82 and 83: 761614ControlBotulism</stro
- Page 84 and 85: 78INTRODUCTIONAvian</strong
- Page 86 and 87: 80(GPS) receivers (eTrex Venture, e
- Page 88 and 89: 82mortality rate was calculated by
- Page 90 and 91: 84samples from FG carcasses collect
- Page 92 and 93: 86outbreaks in waterfowl (Table 4;
- Page 94 and 95: 88birds and toxic
- Page 96 and 97: 90LITERATURE CITEDBall G, Bollinger
- Page 98 and 99: 92Williamson JL, Rocke TE, Aiken JM
- Page 100 and 101: 94Table 2. Species composition <str
- Page 102 and 103: 96Table 4. Estimates of</st
- Page 104 and 105: 98iiviiiii1 0 1 2 km1 0 1 21 0 1 21
- Page 106 and 107: 100PART VIVARIABILITY OF TYPE C CLO
- Page 108 and 109: 102seasonal wetland</strong
- Page 110 and 111: 104clinical signs of</stron
- Page 112 and 113: 106RESULTSThe proportion of
- Page 114 and 115: 108sediments in basins of</
- Page 116 and 117: 110Williamson JL, Rocke TE, Aiken J
- Page 118 and 119: 112Chaplin, SK botulism 3/5 (60) 1/
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114Table 3. Annual and</str
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116MAIN CONCLUSIONS AND RECOMMENDAT
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Recommendation 8:The model
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120APPENDIX 1AVIAN BOTULISM IN ALBE
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122July 15, 2002ISBN: 0-7785-0962-1
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1242BackgroundMunro (1927) provides
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1264SUMMARY OF ALBERTA BOTULISM OUT
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128Moyles, D. 1989. Avian</
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13081) 1980 (Calverley 1980)Appendi
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1321010) 1990 (F&W files)LakeDetect
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134123 probable blue-green algal po
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136APPENDIX 2EXPOSURE OF MALLARD DU
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138Toxin was administered orally us
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140LITERATURE CITEDCarmichael WW, B