2013
DOI: 10.1002/ece3.822
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A hierarchical nest survival model integrating incomplete temporally varying covariates

Abstract: Nest success is a critical determinant of the dynamics of avian populations, and nest survival modeling has played a key role in advancing avian ecology and management. Beginning with the development of daily nest survival models, and proceeding through subsequent extensions, the capacity for modeling the effects of hypothesized factors on nest survival has expanded greatly. We extend nest survival models further by introducing an approach to deal with incompletely observed, temporally varying covariates using… Show more

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Cited by 40 publications
(31 citation statements)
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References 44 publications
(77 reference statements)
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“…Although cranes in this population appear to pair and nest consistently and at an earlier age than those in the Florida non-migratory population, the observed reproductive success is very low. As of 2010, only 12 of 80 nests had successfully hatched chicks and only three of those chicks had fledged (Converse et al 2013c, King et al 2013. Poor reproduction was also a major challenge in the non-migratory population in Florida, where only nine chicks were fledged from 63 nests through 2007 (Spalding et al 2009, Moore et al 2012).…”
Section: Discussionmentioning
confidence: 99%
“…Although cranes in this population appear to pair and nest consistently and at an earlier age than those in the Florida non-migratory population, the observed reproductive success is very low. As of 2010, only 12 of 80 nests had successfully hatched chicks and only three of those chicks had fledged (Converse et al 2013c, King et al 2013. Poor reproduction was also a major challenge in the non-migratory population in Florida, where only nine chicks were fledged from 63 nests through 2007 (Spalding et al 2009, Moore et al 2012).…”
Section: Discussionmentioning
confidence: 99%
“…We estimated a global intercept and included group‐level effects αj and δk for each year ( j ) and ranch ( k ). We used a Bayesian variable selection technique to quantify support for the effects of date, age, SGI‐RGS, and rest on daily nest survival (Converse et al ). We multiplied regression coefficients β p for each variable p by binary indicator variables ( w p ; Kuo and Mallick , O'Hara and Sillanpää ): logittrue(ϕi,ttrue)=β0+w1β1×datei,t+w2β2×agei,t+w3β3×SGIRGS+w4β4×resti+αj+δk αjNtrue(0,σαtrue) δkNtrue(0,σδtrue) …”
Section: Methodsmentioning
confidence: 99%
“…Of these, recent research supports the hypothesis that whooping crane nest failures were related to seasonal abundance of ornithophilic blackflies (Diptera: Simuliidae; Converse et al 2013). Sandhill cranes are also known hosts for Simulium spp.…”
Section: Introductionmentioning
confidence: 62%