A5086962344- Wildlife Ecology and Conservation
- Ecology and Vegetation Dynamics Studies
- Wildlife-Road Interactions and Conservation
- Fire effects on ecosystems
- Animal Disease Management and Epidemiology
- Evolutionary Game Theory and Cooperation
- Human-Animal Interaction Studies
- Species Distribution and Climate Change
- Environmental DNA in Biodiversity Studies
- Forest ecology and management
- Forest Ecology and Biodiversity Studies
- Yersinia bacterium, plague, ectoparasites research
- Remote Sensing and LiDAR Applications
- Animal Behavior and Welfare Studies
- Single-cell and spatial transcriptomics
- Genetic diversity and population structure
- Primate Behavior and Ecology
- Forensic Entomology and Diptera Studies
- Forest Management and Policy
- Rangeland and Wildlife Management
- Animal Ecology and Behavior Studies
- Mathematical and Theoretical Epidemiology and Ecology Models
- Evolution and Genetic Dynamics
- Animal Behavior and Reproduction
- Zoonotic diseases and public health
Bavarian Forest National Park
2021-2024
University of Freiburg
2021-2024
Humboldt-Universität zu Berlin
2019
Abstract Wildlife must adapt to human presence survive in the Anthropocene, so it is critical understand species responses humans different contexts. We used camera trapping as a lens view mammal changes activity during COVID-19 pandemic. Across 163 sampled 102 projects around world, amount and timing of animal varied widely. Under higher activity, mammals were less active undeveloped areas but unexpectedly more developed while exhibiting greater nocturnality. Carnivores most sensitive,...
In this study, we examine the spatial interrelation between different carnivore species (Carnivora, Mammalia) and ground-nesting birds in a Special Protection Area (SPA) Brandenburg, Germany. Camera- live-trapping of carnivores during an 18-month period revealed that SPA hosts most mesocarnivore occur Since raccoon (Procyon lotor), red fox (Vulpes vulpes), domestic cat (Felis silvestris f. catus) showed highest abundance-activity indices, used GPS telemetry for detailed analysis behavior...
Abstract Camera trapping has revolutionized wildlife ecology and conservation by providing automated data acquisition, leading to the accumulation of massive amounts camera trap worldwide. Although management processing trap‐derived Big Data are becoming increasingly solvable with help scalable cyber‐infrastructures, harmonization exchange remain limited, hindering its full potential. There is currently no widely accepted standard for exchanging data. The only existing proposal, “Camera Trap...
Abstract Human activities can affect the behaviour and fitness of wildlife. However, response animals to nonlethal human has not been well‐studied in wild boar, Sus scrofa , even though it is a widespread species Europe become increasing concern because crop damages its vector capacity for diseases. We study behavioural responses GPS‐collared boar experimental approaches Bohemian Forest Ecosystem along border between Germany Czech Republic. describe quantify flight assess whether they vary...
Abstract Convolutional neural networks (CNNs) and deep learning are powerful robust tools for ecological applications, particularly suited image data. Image segmentation (the classification of all pixels in images) is one such application can, example, be used to assess forest structural metrics. While CNN‐based methods applications have been suggested, widespread adoption research has slow, likely due technical difficulties implementation CNNs lack toolboxes ecologists. Here, we present R...
Camera trapping has revolutionized wildlife ecology and conservation by providing automated data acquisition, leading to the accumulation of massive amounts camera trap worldwide. Although management processing trap-derived Big Data are becoming increasingly solvable with help scalable cyber-infrastructures, harmonization exchange remain limited, hindering its full potential. We present a new format, Trap Package (Camtrap DP), designed allow users easily exchange, harmonize archive at local...
Roads can have diverse impacts on wildlife species, and while some species may adapt effectively, others not. Studying multiple species' responses to the same infrastructure in a given area help understand this variation reveal effects of disturbance ecology communities. This study investigates behavioural four with distinctive ecological traits roads protected Bohemian Forest Ecosystem central Europe: European roe deer Capreolus capreolus , solitary herbivore; red Cervus elaphus gregarious...
Vertebrate scavengers provide essential ecosystem services such as accelerating carrion decomposition by consuming carcasses, exposing tissues to microbial and invertebrate decomposers, recycling nutrients back into the ecosystem. Some do not consume carcasses on site but rather scatter their remains in surroundings, which might have important implications for nutrient transport, forensic investigations spread of diseases African Swine Fever. However, only a few studies investigated measured...
Abstract Understanding predator-prey interactions, particularly how species use space and time to influence encounter rates, is crucial in ecology. Camera traps, while not being able directly measure encounters of large free-roaming species, can help estimating tolerate or avoid proximity with eachother. We used data from a one-year study four German protected areas 283 camera traps applied recurrent event analysis explore interactions among three prey (red deer, roe wild boar) two predators...
Understanding predator-prey interactions, particularly how species use space and time to influence encounter rates, is crucial in ecology. Camera traps, while not being able directly measure encounters of large free-roaming species, can help estimating tolerate or avoid proximity with eachother. We used data from a one-year study four German protected areas 283 camera traps applied recurrent event analysis explore interactions among three prey (red deer, roe wild boar) two predators (grey...
Abstract Deforestation of tropical forests have resulted in extensive areas secondary with the potential to restore biodiversity former old‐growth forest levels. The recovery vertebrate communities is an essential component and ecosystem restoration, as vertebrates provide key functions. However, little known about trajectories habitat preferences landscapes differing land‐use legacies. We used camera traps covering 3 weeks study activity ground‐based mammals birds understory 57 sites along...
Ungulate browsing often impairs tree regeneration, thus preventing the achievement of economic or conservation goals. Forest ungulate management would benefit from a practical decision tool that facilitates method selection wide range monitoring methods and indicators currently available. In this study, we first provide an overview different browsing-impact applied. We then present newly developed matrix for evaluation can assist forest stakeholders in choosing best suited to their needs,...
Abstract Convolutional neural networks (CNNs) and deep learning are powerful robust tools for ecological applications. CNNs can perform very well in various tasks, especially visual tasks image data. Image segmentation (the classification of all pixels images) is one such task example be used to assess forest vertical horizontal structure. While methods have been suggested, widespread adoption research has slow, likely due technical difficulties implementation lack toolboxes ecologists....