Topic · Statistics and Probability · Mathematics
Census and Population Estimation
OpenAlex topic; a paper is listed when OpenAlex scores it at least 0.5 for this topic.
14 papers
The Hidden Prior: Variance Constraints Under Data Augmentation
Evan G. Cooch, Darryl I. MacKenzie, Jeffrey Andrew Royle
This paper examines how data augmentation affects uncertainty estimates in ecological models by analyzing the impact of a fixed superpopulation size on variance constraints.
bioRxiv · Sep 1, 2026 · PreprintEcology
Efficient capture-recapture inference for spatially varying natal dispersal,survival and recruitment
Matia H. Muller, Fabian R. Ketwaroo, Wolfgang Fiedler, Olaf Geiter, Christof Herrmann, Michael Schaub
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.
bioRxiv · Aug 28, 2026 · PreprintEcology
An age- and time-specific space-for-time mark-recapture model
Ryan Vosbigian, Marika E. Dobos, Matthew R. Falcy
The paper develops a space-for-time mark-recapture model that incorporates age, time, and individual covariates to estimate survival in migrating animals.
bioRxiv · Aug 3, 2026 · PreprintEcology
Spatially explicit capture-recapture models for relative density
Maximizing the conditional likelihood in spatially explicit capture-recapture models estimates spatial relative density and population growth rates rapidly while remaining robust to unmodeled individual detection heterogeneity.
Ecology · Jul 1, 2026Peer-reviewedEcology✦ In-depth digest
Validation-free estimation of chronological age via close-kin
Luke R. Lloyd‐Jones, Mark V. Bravington, Hien D. Nguyen, Robin B. Thomson, Jack H Easton
The paper estimates chronological age without known-age individuals by modeling half-sibling pair occurrence rates and capture times using a pseudo-likelihood framework.
bioRxiv · Jun 7, 2026 · PreprintEcology
R-package Jsmm: Joint species movement modelling of mark-recapture data
Luisa Fernanda Serralde Rodríguez, Otso Ovaskainen
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.
bioRxiv · May 28, 2026 · PreprintEcology
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.
bioRxiv · May 14, 2026 · PreprintEcology
Population size estimation when multiple samples carrying the risk of misidentification are taken within the same capture occasion from the same individual
Rémi Fraysse, Rémi Choquet, Roger Pradel
This paper develops a new model to estimate population size in capture-recapture studies with misidentification risks and repeated observations, showing it provides unbiased estimates under certain conditions.
Peer Community Journal · Apr 29, 2026Peer-reviewedEcology
An Integrated Population Model to Incorporate Spatio-Temporal Heterogeneity in Demographic Rates
Fabian R. Ketwaroo, Matia H. Muller, James F. Saracco, Michael Schaub
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.
bioRxiv · Mar 5, 2026 · PreprintEcology
Integration of UAS-based spatial surveys and bio-logging tracking enhances precision in population size estimation
Sota Inoue, Yuichi Mizutani, Hibiki Sugiyama, Yusuke Goto, Ken Yoda
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.
bioRxiv · Jan 27, 2026 · PreprintEcology
Simulation-based inference for close-kin mark-recapture: implications for small populations and nonrandom mating
This paper uses simulation-based inference to improve close-kin mark-recapture estimates in small populations and nonrandom mating scenarios.
Environmetrics · Nov 23, 2025Peer-reviewedEcology
A Comprehensive Review and Evaluation of Species Richness Estimation
Johanna Elena Schmitz, Sven Rahmann
The paper reviews and evaluates species richness estimation methods on real and simulated data, finding that different methods perform best under varying population compositions and sample sizes.
Briefings in Bioinformatics · Mar 1, 2025Peer-reviewedBioinformatics
Linking acoustic telemetry data to spatial covariates in river networks with spatially explicit capture-recapture models
Joseph R. Bottoms, Marie Auger‐Méthé, Bryce O’Connor, Michael J. Power, David A. Patterson, J. Mark Shrimpton, Steven J. Cooke, Eduardo Guimarães Martins
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.
bioRxiv · Feb 9, 2025 · PreprintEcology