Modeling Demographic Processes in Marked Populations (eBook)

Population Dynamics – Growth, Density-Dependence and Decomposing ?.- Bayesian Hierarchical Models for Inference About Population Growth.- Assessing Density-Dependence: Where Are We Left?.- The Efficient Semiparametric Regression Modeling of Capture-Recapture Data: Assessing the Impact of Climate on Survival of Two Antarctic Seabird Species.- Multivariate State Space Modelling of Bird Migration Count Data.- Evolutionary Ecology.- Contribution of Capture-Mark-Recapture Modeling to Studies of Evolution by Natural Selection.- Application of Capture–Recapture to Addressing Questions in Evolutionary Ecology.- Estimating Reproductive Costs with Multi-State Mark-Recapture Models, Multiple Observable States, and Temporary Emigration.- Estimating Latent Time of Maturation and Survival Costs of Reproduction in Continuous Time from Capture–Recapture Data.- Abundance Estimation – Direct Methods, Proxies, Occupancy Models and Point Count Data.- Inferences About Landbird Abundance from Count Data: Recent Advances and Future Directions.- Sources of Measurement Error, Misclassification Error, and Bias in Auditory Avian Point Count Data.- Density Estimation by Spatially Explicit Capture–Recapture: Likelihood-Based Methods.- A Generalized Mixed Effects Model of Abundance for Mark-Resight Data When Sampling is Without Replacement.- Evaluation of the Linkage Disequilibrium Method for Estimating Effective Population Size.- Dispersal, Movement and Migration – Methods and Multi-State Models.- Migration and Movement – The Next Stage.- Stopover Duration Analysis with Departure Probability Dependent on Unknown Time Since Arrival.- Habitat Selection, Age-Specific Recruitment and Reproductive Success in a Long-Lived Seabird.- Cubic Splines for Estimating the Distribution of Residence Time Using Individual Resightings Data.- Detecting Invisible Migrants: An Application of Genetic Methods to Estimate Migration Rates.- Wildlife and Conservation Management.- Stochastic Variation in Avian Survival Rates: Life-History Predictions, Population Consequences, and the Potential Responses to Human Perturbations and Climate Change.- Filling a Void: Abundance Estimation of North American Populations of Arctic Geese Using Hunter Recoveries.- Integration of Demographic Analyses and Decision Modeling in Support of Management of Invasive Monk Parakeets, an Urban and Agricultural Pest.- Combing Sources of Information – Kalman Filters, Matrix Methods and Joint Likelihoods.- Completing the Ecological Jigsaw.- Using a State-Space Model of the British Song Thrush Turdus philomelos Population to Diagnose the Causes of a Population Decline.- A Hierarchical Covariate Model for Detection, Availability and Abundance of Florida Manatees at a Warm Water Aggregation Site.- An Integrated Analysis of Multisite Recruitment, Mark-Recapture-Recovery and Multisite Census Data.- Bayesian Applications - Advances, Random Effects and Hierarchical Models.- Bayes Factors and Multimodel Inference.- Estimating Demographic Parameters from Complex Data Sets: A Comparison of Bayesian Hierarchical and Maximum-Likelihood Methods for Estimating Survival Probabilities of Tawny Owls, Strix aluco in Finland.- Inference About Species Richness and Community Structure Using Species-Specific Occupancy Models in the National Swiss Breeding Bird Survey MHB.- Time-Varying Covariates and Semi-Parametric Regression in Capture–Recapture: An Adaptive Spline Approach.- A Further Step Toward the Mother-of-All-Models: Flexibility and Functionality in the Modeling of Capture–Recapture Data.- The Robust Design – Sampling, Applications and Advances.- Exploring Extensions to Multi-State Models with Multiple Unobservable States.- Extending the Robust Design for DNA-Based Capture–Recapture Data Incorporating Genotyping Error and Laboratory Data.- A Traditional and a Less-Invasive Robust Design: Choices in Optimizing Effort Allocation for Seabird Population Studies.- Non-random Temporary Emigration and the Robust Design: Conditions for Bias at the End of a Time Series.- State Uncertainty – Assignmant Error and Unobservable States.- One Size Does Not Fit All: Adapting Mark-Recapture and Occupancy Models for State Uncertainty.- The Stakes of Capture–Recapture Models with State Uncertainty.- Rank and Redundancy of Multistate Mark-Recapture Models for Seabird Populations with Unobservable States.- Mark-Recapture Jolly-Seber Abundance Estimation with Classification Uncertainty.- Program E-Surge: A Software Application for Fitting Multievent Models.- Estimation of Lifetime Reproductive Success When Reproductive Status Cannot Always Be Assessed.- New Software Developments for Modeling Demographic Processes.- WinBUGS for Population Ecologists: Bayesian Modeling Using Markov Chain Monte Carlo Methods.- Comparison of Fixed Effect, Random Effect, and Hierarchical Bayes Estimators for Mark Recapture Data Using AD Model Builder.- Open Forum.- On Adjusting for Missed Visits in the Indexing of Abundance from “Constant Effort” Ringing.- Simulation Performance of Bayesian Estimators of Abundance Employing Age-at-Harvest and Mark-Recovery Data.- A Spatial Model for Estimating Mortality Rates, Abundance and Movement Probabilities from Fishery Tag-Recovery Data.- Gaussian Semiparametric Analysis Using Hierarchical Predictive Models.- Effect of Senescence on Estimation of Survival Probability When Age Is Unknown.- Weak Identifiability in Models for Mark-Recapture-Recovery Data.- Estimating N: A Robust Approach to Capture Heterogeneity.- Evaluation of Bias, Precision and Accuracy of Mortality Cause Proportion Estimators from Ring Recovery Data.- Standardising Terminology and Notation for the Analysis of Demographic Processes in Marked Populations.- Estimating the Seasonal Distribution of Migrant Bird Species: Can Standard Ringing Data Be Used?.- Evaluation of a Bayesian MCMC Random Effects Inference Methodology for Capture-Mark-Recapture Data.- On Adjusting for Missed Visits in the Indexing of Abundance from “Constant Effort” Ringing.- Simulation Performance of Bayesian Estimators of Abundance Employing Age-at-Harvest and Mark-Recovery Data.