Long-term data reveal fitness costs of anthropogenic prey depletion for a subordinate competitor, the African wild dog (Lycaon pictus). [PDF]
Reyes de Merkle J +7 more
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Field experiments on the effects of fire on parasite transmission to amphibian hosts. [PDF]
Ortega N +6 more
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Relationship between wintering site and survival in a migratory waterbird using different migration routes. [PDF]
Ferreira HRS +3 more
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Effects of ophidiomycosis on movement, survival, and reproduction of eastern foxsnakes (Pantherophis vulpinus). [PDF]
Dillon RM +6 more
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Continuous, individual, time-dependent covariates in the Cormack-Jolly-Seber model
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The Jolly–Seber Model with Tag Loss
Biometrics, 2006Summary Tag loss in mark‐recapture experiments is a violation of one of the Jolly–Seber model assumptions. It causes bias in parameter estimates and has only been dealt with in an ad hoc manner. We develop methodology to estimate tag retention and abundance in double‐tagging mark‐recapture experiments.
Cowen, Laura, Schwarz, Carl J.
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Open Capture–Recapture Models with Heterogeneity: II. Jolly–Seber Model
Biometrics, 2009Summary Estimation of abundance is important in both open and closed population capture–recapture analysis, but unmodeled heterogeneity of capture probability leads to negative bias in abundance estimates. This article defines and develops a suite of open population capture–recapture models using finite mixtures to model heterogeneity of capture and ...
Pledger, Shirley +2 more
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Open Capture‐Recapture Models with Heterogeneity: I. Cormack‐Jolly‐Seber Model
Biometrics, 2003Summary. In open population capture‐recapture studies, it is usually assumed that similar animals (e.g., of the same sex and age group) have similar survival rates and capture probabilities. These assumptions are generally perceived to be an oversimplification, and they can lead to incorrect model selection and biased parameter estimates. Allowing for
Pledger, Shirley +2 more
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Cormack–Jolly–Seber model with environmental covariates: A P‐spline approach
Biometrical Journal, 2012In capture–recapture models, survival and capture probabilities can be modelled as functions of time‐varying covariates, such as temperature or rainfall. The Cormack–Jolly–Seber (CJS) model allows for flexible modelling of these covariates; however, the functional relationship may not be linear.
Stoklosa, Jakub, Huggins, Richard M.
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Objective prior distributions for Jolly‐Seber models of zero‐augmented data
Biometrics, 2020AbstractStatistical models of capture‐recapture data that are used to estimate the dynamics of a population are known collectively as Jolly‐Seber (JS) models. State‐space versions of these models have been developed for the analysis of zero‐augmented data that include the capture histories of the observed individuals and an arbitrarily large number of ...
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