A5006572631- Avian ecology and behavior
- Wildlife Ecology and Conservation
- Species Distribution and Climate Change
- Opinion Dynamics and Social Influence
- Mental Health Research Topics
- Statistical Methods and Bayesian Inference
- EEG and Brain-Computer Interfaces
- Ecology and Vegetation Dynamics Studies
- Economic and Environmental Valuation
- Optical Imaging and Spectroscopy Techniques
- Functional Brain Connectivity Studies
- Animal Ecology and Behavior Studies
- Isotope Analysis in Ecology
Universität Greifswald
2022-2024
Otto-von-Guericke University Magdeburg
2023
Swiss Ornithological Institute
2022-2023
Multi-species indices (MSI) are widely used as ecological indicators and instruments to inform environmental policies. Many of these combine species-specific estimates relative population sizes using the geometric mean. Because mean is not defined when values zero occur, usually only commoner species included in MSIs replaced by a small non-zero value. The latter can exhibit an arbitrary influence on MSI. Here, we show how compound Poisson negative binomial model be such cases obtain MSI...
Understanding spatially varying survival is crucial for understanding the ecology and evolution of migratory animals, which may ultimately help to conserve such species. We develop an approach estimate annual probability function continuously in geographic space, if recovery constant over space. This based on a density continuous space discrete age at death obtained from dead data. From same function, we obtain animal distribution corrected survival, i.e., connectivity. possible, when...
Abstract Habitat loss and degradation are key drivers of the current biodiversity crisis. Most research focuses on question which traits allow species to persist in degraded habitats. We asked whether a species' trophic position or niche width influences resilience habitats what extent habitat affects interactions between species. used nitrogen isotope ratios ( 15 N: 14 N, expressed as δ N value) quantify compare positions widths understory birds inhabiting old‐growth young secondary forests...
Spatial variation in survival has individual fitness consequences and influences population dynamics. Which space animals use during the annual cycle determines how they are affected by this spatial variability. Therefore, knowing patterns of is crucial to understand demography migrating animals. Extracting information on from observation data, particular dead recovery requires explicitly identifying process. We build a fully stochastic model for marked populations origin, which were found...
The brain‘s default mode network (DMN) and the executive control (ECN) switch engagement influenced by ventral attention (VAN). Alterations in resting-state functional connectivity (RSFC) within this so-called triple have been demonstrated patients with major depressive disorder (MDD) or anxiety disorders (AD). This study investigated alterations RSFC comorbid MDD ADs to better understand pathophysiology of prevalent group patients. Sixty-eight participants (52.9 % male, mean age 35.25...
Understanding spatially varying survival is crucial for understanding the ecology and evolution of migratory animals, which may ultimately help to conserve such species. We developed a modeling framework allowing estimate as well how animals from different original populations distribute themselves across destination space, i.e., connectivity, based on dead reencounter data marked animals. The model also accounts observation process, finding reporting density reencounters interpreted mixed...
Understanding spatially varying survival is crucial for understanding the ecology and evolution of migratory animals, which may ultimately help to conserve such species. We developed a modeling framework allowing estimate as well how animals from different original populations distribute themselves across destination space, i.e., connectivity, based on dead reencounter data marked animals. The model also accounts observation process, finding reporting density reencounters interpreted mixed...