2018
DOI: 10.5751/ace-01147-130105
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Detecting capture-related mortality in radio-marked birds following release

Abstract: ABSTRACT. A fundamental assumption of avian survival analysis is that the act of capture, handling, and marking birds does not affect subsequent survival. This assumption is violated when animals experience injury, physiological stress, or disorientation during capture and handling that increases their mortality risk following release. Such capture-related effects must be accounted for during analysis, typically by censoring individuals from the survival history, to avoid biasing the resulting survival estimat… Show more

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Cited by 19 publications
(22 citation statements)
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“…Capture‐related mortality has most commonly been defined as any mortality that occurs within a predetermined number of days after release (Bartsch et al 1977, Harthoorn 1977, Chalmers and Barrett 1982, DelGiudice et al 2005). A common approach to avoid bias caused by capture‐related mortality has been to exclude the first period after capture from the data set completely, but there is limited scientific support for the use of any particular timeframe (Norton et al 2016, Blomberg et al 2018). Underestimating the required timeframe keeps biased information in the data set, whereas overestimating the timeframe reduces precision and eliminates valuable and expensive data (Quinn et al 2012).…”
Section: Discussionmentioning
confidence: 99%
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“…Capture‐related mortality has most commonly been defined as any mortality that occurs within a predetermined number of days after release (Bartsch et al 1977, Harthoorn 1977, Chalmers and Barrett 1982, DelGiudice et al 2005). A common approach to avoid bias caused by capture‐related mortality has been to exclude the first period after capture from the data set completely, but there is limited scientific support for the use of any particular timeframe (Norton et al 2016, Blomberg et al 2018). Underestimating the required timeframe keeps biased information in the data set, whereas overestimating the timeframe reduces precision and eliminates valuable and expensive data (Quinn et al 2012).…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, if captures always take place around the same time of year, information on survival and mortality in the period following captures will be completely missing (Norton et al 2016). Therefore, recent recommendations have been to empirically identify a threshold for censorship (Quinn et al 2012, Norton et al 2016, Blomberg et al 2018). In our study, mortality rates of captured mule deer were twice as high as those of non‐captured deer during the first week following capture.…”
Section: Discussionmentioning
confidence: 99%
“…Marking can, however, have potential negative effects on wildlife, including injury, reduced survival and reproduction rates, and changes to behavior and movement (Baker et al, ; Bodey et al, ; Griesser et al, ; Murray & Fuller, ; Rosen, Gerlinsky, & Trites, ). Many methods also necessitate repeated trapping and handling, which is labor intensive and, despite continued effort being made to minimize impacts on wildlife, each trapping typically induces stress in trapped individuals (Gelling, McLaren, Mathews, Mian, & Macdonald, ; Lynn & Porter, ; Reeder, Kosteczko, Kunz, & Widmaier, ) and has inherent (but low) mortality rates (Blomberg, Davis, Mangelinckx, & Sullivan, ; Lemckert, Brassil, Kavanagh, & Law, ).…”
Section: Introductionmentioning
confidence: 99%
“…resource selection) will help guide conservation and management decisions (Dahlgren et al 2006, Atamian et al 2010, Guttery et al 2013, Coates et al 2017. The methods used to estimate chick and brood survival in sage-grouse and the habitat factors that affect those parameters are the same as those used for other gamebirds (Summers et al 2004, Steen and Haugvold 2009, Sands and Pope 2010, Dahlgren et al 2012, Orange et al 2016, Blomberg et al 2019. These methods (daytime visual and flush surveys, radio-tagging, nighttime spotlight surveys, pointing dog surveys and wing surveys; Dahlgren et al 2010a, Riley 2019) can potentially influence accuracy, precision and comparability among studies.…”
mentioning
confidence: 99%