2021
DOI: 10.1111/jofo.12356
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Survival of Greater Sage‐Grouse broods: survey method affects disturbance and age‐specific detection probability

Abstract: Investigators rely on brood surveys to estimate annual fecundity of game birds. However, investigators often do not account for factors that influence brood detection probability nor rarely document how much females and their broods are disturbed (flush rates) during surveys, which could lead to biased survival estimates. We used 45 radio‐tagged female Greater Sage‐Grouse (Centrocercus urophasianus) with broods to compare detection probabilities and document disturbance among four survey methods to allow futur… Show more

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Cited by 3 publications
(4 citation statements)
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References 47 publications
(76 reference statements)
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“…We monitored the movements of all females, conducted flush surveys at 42 days posthatch (Riley et al, 2021 ; Riley & Conway, 2020 ) for females that hatched successful nests, and considered the brood successful if a female had at least one chick during the survey. We used PTT location data from females with successful broods to assess space use during the brood‐rearing period ( n = 67 females with successful broods from 2015 to 2020).…”
Section: Methodsmentioning
confidence: 99%
“…We monitored the movements of all females, conducted flush surveys at 42 days posthatch (Riley et al, 2021 ; Riley & Conway, 2020 ) for females that hatched successful nests, and considered the brood successful if a female had at least one chick during the survey. We used PTT location data from females with successful broods to assess space use during the brood‐rearing period ( n = 67 females with successful broods from 2015 to 2020).…”
Section: Methodsmentioning
confidence: 99%
“…A common goal of basic and applied research is to identify vital rates important to fitness and the persistence of populations. Understanding how a species' life history has evolved can assist investigators when predicting how populations will respond to changing environments (Cooch et al, 2001 ; Doherty et al, 2004 ; Rotella et al, 2012 ). In a given species, some life‐history traits evolve to be robust to environmental variation (Boyce et al, 2006 ; Pfister, 1998 ), whereas other traits evolve to be plastic in the face of environmental variation (Koons et al, 2009 ).…”
Section: Introductionmentioning
confidence: 99%
“…For long‐lived species with slow generation times, variation in adult survival is generally minimal compared with the variation in reproduction (Rotella et al, 2012 ). If finite population growth rate for phenotypes is a reasonable surrogate for fitness, population matrix models allow researchers to explore hypotheses about selective pressure on life‐history strategies (Caswell, 2006 ).…”
Section: Introductionmentioning
confidence: 99%
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