William Link, Ph.D. (Former Employee)
Science and Products
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Individual heterogeneity and identifiability in capture-recapture models Individual heterogeneity and identifiability in capture-recapture models
Individual heterogeneity in detection probabilities is a far more serious problem for capture-recapture modeling than has previously been recognized. In this note, I illustrate that population size is not an identifiable parameter under the general closed population mark-recapture model Mh. The problem of identifiability is obvious if the population includes individuals with pi = 0, but...
Authors
W.A. Link
Tigers and their prey: Predicting carnivore densities from prey abundance Tigers and their prey: Predicting carnivore densities from prey abundance
The goal of ecology is to understand interactions that determine the distribution and abundance of organisms. In principle, ecologists should be able to identify a small number of limiting resources for a species of interest, estimate densities of these resources at different locations across the landscape, and then use these estimates to predict the density of the focal species at these...
Authors
K. U. Karanth, J.D. Nichols, S. Kumar, W.A. Link, J.E. Hines
Testing life history predictions in a long-lived seabird: A population matrix approach with improved parameter estimation Testing life history predictions in a long-lived seabird: A population matrix approach with improved parameter estimation
Life history theory and associated empirical generalizations predict that population growth rate (λ) in long-lived animals should be most sensitive to adult survival; the rates to which λ is most sensitive should be those with the smallest temporal variances; and stochastic environmental events should most affect the rates to which λ is least sensitive. To date, most analyses attempting...
Authors
P.F. Doherty, E.A. Schreiber, J.D. Nichols, J.E. Hines, W.A. Link, G.A. Schenk, R.W. Schreiber
Estimation of change in populations and communities from monitoring survey data Estimation of change in populations and communities from monitoring survey data
Monitoring surveys provide fundamental information for use in environmental decision making by permitting assessment of both current population (or community) status and change in status, by providing a historical context of the present status, and by documenting response to ongoing management. Conservation of species and communities has historically been based upon monitoring...
Authors
J.R. Sauer, W.A. Link, J.D. Nichols
Hierarchical models and the analysis of bird survey information Hierarchical models and the analysis of bird survey information
Management of birds often requires analysis of collections of estimates. We describe a hierarchical modeling approach to the analysis of these data, in which parameters associated with the individual species estimates are treated as random variables, and probability statements are made about the species parameters conditioned on the data. A Markov-Chain Monte Carlo (MCMC) procedure is...
Authors
J.R. Sauer, W.A. Link
Science and Products
Filter Total Items: 44
No results found.
Filter Total Items: 128
Individual heterogeneity and identifiability in capture-recapture models Individual heterogeneity and identifiability in capture-recapture models
Individual heterogeneity in detection probabilities is a far more serious problem for capture-recapture modeling than has previously been recognized. In this note, I illustrate that population size is not an identifiable parameter under the general closed population mark-recapture model Mh. The problem of identifiability is obvious if the population includes individuals with pi = 0, but...
Authors
W.A. Link
Tigers and their prey: Predicting carnivore densities from prey abundance Tigers and their prey: Predicting carnivore densities from prey abundance
The goal of ecology is to understand interactions that determine the distribution and abundance of organisms. In principle, ecologists should be able to identify a small number of limiting resources for a species of interest, estimate densities of these resources at different locations across the landscape, and then use these estimates to predict the density of the focal species at these...
Authors
K. U. Karanth, J.D. Nichols, S. Kumar, W.A. Link, J.E. Hines
Testing life history predictions in a long-lived seabird: A population matrix approach with improved parameter estimation Testing life history predictions in a long-lived seabird: A population matrix approach with improved parameter estimation
Life history theory and associated empirical generalizations predict that population growth rate (λ) in long-lived animals should be most sensitive to adult survival; the rates to which λ is most sensitive should be those with the smallest temporal variances; and stochastic environmental events should most affect the rates to which λ is least sensitive. To date, most analyses attempting...
Authors
P.F. Doherty, E.A. Schreiber, J.D. Nichols, J.E. Hines, W.A. Link, G.A. Schenk, R.W. Schreiber
Estimation of change in populations and communities from monitoring survey data Estimation of change in populations and communities from monitoring survey data
Monitoring surveys provide fundamental information for use in environmental decision making by permitting assessment of both current population (or community) status and change in status, by providing a historical context of the present status, and by documenting response to ongoing management. Conservation of species and communities has historically been based upon monitoring...
Authors
J.R. Sauer, W.A. Link, J.D. Nichols
Hierarchical models and the analysis of bird survey information Hierarchical models and the analysis of bird survey information
Management of birds often requires analysis of collections of estimates. We describe a hierarchical modeling approach to the analysis of these data, in which parameters associated with the individual species estimates are treated as random variables, and probability statements are made about the species parameters conditioned on the data. A Markov-Chain Monte Carlo (MCMC) procedure is...
Authors
J.R. Sauer, W.A. Link