Census and Population Estimation

Designing spatial capture recapture surveys for multiple populations

This paper evaluates SCR survey designs for multiple populations, showing systematic layouts perform well despite group differences.

The Hidden Prior: Variance Constraints Under Data Augmentation

This paper examines how data augmentation affects uncertainty estimates in ecological models by analyzing the impact of a fixed superpopulation size on variance constraints.

Efficient capture-recapture inference for spatially varying natal dispersal,survival and recruitment

This paper introduces an efficient Bayesian model for estimating natal dispersal and spatially varying demographic parameters using capture-recapture data, applied to white stork populations across 101 spatial units.

An age- and time-specific space-for-time mark-recapture model

The paper develops a space-for-time mark-recapture model that incorporates age, time, and individual covariates to estimate survival in migrating animals.

Validation-free estimation of chronological age via close-kin

The paper estimates chronological age without known-age individuals by modeling half-sibling pair occurrence rates and capture times using a pseudo-likelihood framework.

R-package Jsmm: Joint species movement modelling of mark-recapture data

The paper introduces the R-package Jsmm for analysing mark-recapture data using Bayesian joint species movement modelling to estimate movement behaviours and population parameters.

On the stock structure bias of the space-time fidelity of mark-recapture studies

The paper shows that low between/within area resighting ratios in mark-recapture studies can result from restricted sampling, not population isolation, and highlights the need for methods accounting for space-time fidelity.

An Integrated Population Model to Incorporate Spatio-Temporal Heterogeneity in Demographic Rates

This paper introduces a Bayesian spatially explicit integrated population model to estimate and predict spatio-temporal demographic rates across large geographic areas, showing it provides unbiased and precise estimates even with data misalignment and spatial autocorrelation.

Integration of UAS-based spatial surveys and bio-logging tracking enhances precision in population size estimation

The paper integrates UAS-based spatial surveys and bio-logging tracking to improve population size estimation by combining individual behavior data with colony-level counts.

Linking acoustic telemetry data to spatial covariates in river networks with spatially explicit capture-recapture models

This paper applies spatially explicit capture-recapture models to acoustic telemetry data in river networks to estimate habitat use parameters of Arctic grayling based on temperature distributions.