R. Bischof

The moon's influence on the activity of tropical forest mammals

The paper examines how tropical forest mammals respond to lunar cycles using camera trapping data, finding that 16% avoid moonlight while 3% are attracted to it.

Wolverine density distribution reflects past persecution and current management in Scandinavia

This study identifies landscape-level factors influencing current wolverine density in Scandinavia, showing that historical persecution and modern management practices both shape their distribution.

Spatial variation in red deer density in relation to forest disturbance and ungulate management in a transboundary forest ecosystem

The paper estimates red deer density in a transboundary forest ecosystem and finds that forest disturbances and management practices influence spatial density patterns.

Modelling spatially autocorrelated detection probabilities in spatial capture-recapture using random effects

This paper introduces and evaluates three Bayesian spatial capture-recapture models to account for spatial heterogeneity in detection probabilities, finding that spatially autocorrelated random effects provide the least biased population size estimates.

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.

The catscape: spatial manifestation of a pet cat population with outdoor access

This study maps the spatial behavior of pet cats with outdoor access, revealing a dense predatory presence that impacts local wildlife, with most activity concentrated near homes.

Does the punishment fit the crime? Consequences and diagnosis of misspecified detection functions in Bayesian spatial capture-recapture modelling

This study evaluates the consequences of misspecified detection functions in Bayesian spatial capture-recapture models and identifies diagnostic tools to detect such misspecifications.

Consequences of ignoring variable and spatially-autocorrelated detection probability in spatial capture-recapture

This study shows that unmodeled spatially autocorrelated detection probability in SCR models can cause severe bias and reduced precision in abundance estimates.

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.

Instrumented individuals are not representative of the population. Survival of wolverines with and without GPS collars

The paper compares survival rates of GPS-collared and non-collared wolverines, finding collared individuals had lower mortality from non-culling causes.

Identifying Priority Landscapes for Conservation of Snow Leopards in Pakistan

This study identifies priority landscapes for snow leopard conservation in Pakistan using species distribution modeling and connectivity analysis.

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.