P. de Valpine

Estimating spatially variable and density-dependent survival using open-population spatial capture-recapture models

This paper develops a Bayesian open-population spatial capture-recapture model to estimate spatially variable and density-dependent survival, showing its effectiveness through simulations and providing an R package for implementation.

Identifying charismatic bird species and traits with community science observations

This study identifies charismatic bird species using community science data, finding that body mass, color contrast, and range size predict over-representation in observations.

A hierarchical point process model for spatial capture-recapture data

This paper introduces a hierarchical point process model for spatial capture-recapture data using non-invasive genetic sampling, estimating wolverine density without data augmentation.

Efficient Estimation of Large-Scale Spatial Capture-Recapture Models

The paper improves MCMC estimation for large-scale spatial capture-recapture models by optimizing computational methods, achieving significant speedups and efficiency gains.

Estimating abundance with interruptions in data collection using open population spatial capture-recapture models

This study evaluates the reliability of open population spatial capture-recapture models in estimating abundance despite sampling interruptions, finding that interruptions increase uncertainty but not systematic bias.