A5093119818- Forest Ecology and Biodiversity Studies
- Remote Sensing and LiDAR Applications
- Wildlife Ecology and Conservation
- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Remote-Sensing Image Classification
- Viral Infections and Vectors
- Insect and Arachnid Ecology and Behavior
- Animal and Plant Science Education
- Bat Biology and Ecology Studies
- Vector-borne infectious diseases
- Ecology and Vegetation Dynamics Studies
- Remote Sensing and Land Use
- Mosquito-borne diseases and control
Philipps University of Marburg
2023-2025
Abstract Background Ticks are the primary vectors of numerous zoonotic pathogens, transmitting more pathogens than any other blood-feeding arthropod. In northern hemisphere, tick-borne disease cases in humans, such as Lyme borreliosis and encephalitis, have risen recent years, a significant burden on public healthcare systems. The spread these diseases is further reinforced by climate change, which leads to expanding tick habitats. Switzerland among countries major health concern, with...
Conventional practices in species distribution modeling lack predictive power when the spatial structure of data is not taken into account. However, choosing a approach that accounts for overfitting during model training can improve performance on spatially separated test data, leading to more reliable models. This study introduces
Abstract Ecosystem functions and services are severely threatened by unprecedented global loss in biodiversity. To counteract these trends, it is essential to develop systems monitor changes biodiversity for planning, evaluating, implementing conservation mitigation actions. However, the implementation of monitoring suffers from a trade‐off between grain (i.e., level detail), extent number study sites), temporal repetition. Here, we present an applied realized networked sensor system...
The East African mountain ecosystems are facing increasing threats due to global change, putting their unique socio-ecological systems at risk. To monitor and understand these changes, researchers stakeholders require accessible analysis-ready remote sensing data. Although satellite data is available for many applications, it often lacks accurate geometric orientation has extensive cloud cover. This can generate misleading results make unreliable time-series analysis. Therefore, needs...
Abstract In response to the pressing challenges of ongoing biodiversity crisis, protection endangered species and their habitats, as well monitoring invasive are crucial. Habitat suitability modeling (HSM) is often treated silver bullet address these challenges, commonly relying on generic variables sourced from widely available datasets. However, for with high habitat requirements, or habitats within geographic range a species, at coarse level detail may fall short. Consequently, there...
In the context of ongoing biodiversity crisis, understanding forest ecosystems, their tree species composition and especially successional stages development is crucial. They collectively shape within forests thereby influence ecosystem services that provide, yet this information not readily available on a large-scale. Remote sensing techniques offer promising solutions for obtaining area-wide stages. While optical data are often freely in appropriate quality over large-scales, Light...
Abstract In the context of ongoing biodiversity crisis, understanding forest ecosystems, their tree species composition, and especially successional stages development is crucial. They collectively shape within forests thereby influence ecosystem services that provide, yet this information not readily available on a large scale. Remote sensing techniques offer promising solutions for obtaining area-wide composition stages. While optical data are often freely in appropriate quality over...