2002
DOI: 10.2307/3072096
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Advanced Techniques for Modeling Avian Nest Survival

Abstract: Estimation of avian nest survival has traditionally involved simple measures of apparent nest survival or Mayfield constant-nest-survival models. However, these methods do not allow researchers to build models that rigorously assess the importance of a wide range of biological factors that affect nest survival. Models that incorporate greater detail, such as temporal variation in nest survival and covariates representative of individual nests represent a substantial improvement over traditional estimation meth… Show more

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Cited by 273 publications
(424 citation statements)
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“…Effects of nest location characteristics on daily nest survival rate (DNSR) were analysed with program MARK (White and Burnham 1999), according to the methodology summarized by Dinsmore et al (2002). The analysis was performed jointly for the periods of laying, incubation and chick rearing until the oldest chick reached 22 days of age.…”
Section: Methodsmentioning
confidence: 99%
“…Effects of nest location characteristics on daily nest survival rate (DNSR) were analysed with program MARK (White and Burnham 1999), according to the methodology summarized by Dinsmore et al (2002). The analysis was performed jointly for the periods of laying, incubation and chick rearing until the oldest chick reached 22 days of age.…”
Section: Methodsmentioning
confidence: 99%
“…(b) Determining factors affecting fledging age Statistical models to predict daily fledging ability were estimated using a maximum-likelihood hazard function that allowed for the incorporation of covariates and for model selection (Dinsmore et al 2002). The procedure is commonly used for known-fate survival analyses and correctly treats all days for an individual as the sample unit rather than day as an independent observation.…”
Section: Methodsmentioning
confidence: 99%
“…We modelled chick survival using the nest survival model (Dinsmore et al 2002) in Program MARK (White and Burnham 1999). This model is similar to Kaplan-Meier models typically used for analyses of radio-telemetry data (Pollock et al 1989), although it does not require knowledge of an exact failure date.…”
Section: Data Summary and Analysismentioning
confidence: 99%