2018
DOI: 10.1002/ecs2.2384
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Integrating growth and capture–mark–recapture models reveals size‐dependent survival in an elusive species

Abstract: Citation: Rose, J. P., G. D. Wylie, M. L. Casazza, and B. J. Halstead. 2018. Integrating growth and capturemark-recapture models reveals size-dependent survival in an elusive species. Ecosphere 9(8):Abstract. Survival is a key vital rate for projecting the viability of wild populations. Estimating survival is difficult for many rare or elusive species because recapture rates of marked individuals are low, and the ultimate fate of individuals is unknown. Low recapture rates for many species have made it difficu… Show more

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Cited by 22 publications
(38 citation statements)
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“…We searched the literature for studies that estimated neonate survival in gartersnakes or close relatives (Supporting Information). The range of values in our literature search (0.16–0.37) is similar to the uncertainty interval for the survival of neonate giant gartersnakes from capture‐mark‐recapture models (Rose et al ). Consequently, we built IPMs with 4 values for the probability of recruitment: 0.1, 0.2, 0.3, and 0.4.…”
Section: Methodssupporting
confidence: 69%
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“…We searched the literature for studies that estimated neonate survival in gartersnakes or close relatives (Supporting Information). The range of values in our literature search (0.16–0.37) is similar to the uncertainty interval for the survival of neonate giant gartersnakes from capture‐mark‐recapture models (Rose et al ). Consequently, we built IPMs with 4 values for the probability of recruitment: 0.1, 0.2, 0.3, and 0.4.…”
Section: Methodssupporting
confidence: 69%
“…Because of low capture probability for giant gartersnakes, estimated size–vital rate relationships, particularly survival, have substantial uncertainty (Rose et al , b, c ). In an earlier study comparing the 3 size–survival functions, the quadratic size–survival relationship exhibited the best fit to empirical data, followed closely by the asymptotic relationship, with a linear size–survival relationship having little support (Rose et al ). In addition, our apparent survival functions are likely biased low because they confound true survival and site fidelity.…”
Section: Discussionmentioning
confidence: 91%
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