A5082026747- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Animal Ecology and Behavior Studies
- Isotope Analysis in Ecology
- COVID-19 epidemiological studies
- Data-Driven Disease Surveillance
- Misinformation and Its Impacts
- Cultural Heritage Materials Analysis
- Aquatic Ecosystems and Phytoplankton Dynamics
- COVID-19 diagnosis using AI
- COVID-19 Pandemic Impacts
- Fish Ecology and Management Studies
- Artificial Intelligence in Healthcare
- Wildlife Ecology and Conservation
- Radiomics and Machine Learning in Medical Imaging
- Plant Ecology and Soil Science
German Centre for Integrative Biodiversity Research
2018-2021
Martin Luther University Halle-Wittenberg
2019-2021
In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during crisis is crucial understand progression epidemic. Following content analysis strategy existing public information sources, we developed specific hierarchical coding scheme for NPIs. We generated comprehensive structured dataset their respective timelines implementation. To improve transparency motivate...
The relationship between an island’s size and the number of species on that island—the island species–area (ISAR)—is one most well-known patterns in biogeography forms basis for understanding biodiversity loss response to habitat fragmentation. Nevertheless, there is contention about exactly how estimate ISAR influence three primary ecological mechanisms drive it — random sampling, disproportionate effects, heterogeneity. Key this estimates are often confounded by sampling measures (i.e.,...
Abstract Aim The island species–area relationship (ISAR) quantifies how the number of species increases as area an or island‐like habitat gets larger and is one most general patterns in ecology. However, studies that measure ISAR often confound variation sampling methodology analyses, precluding appropriate syntheses its underlying mechanisms. Most use only presence–absence data at whole‐island scale, whereas we planned to a framework applies individual‐based rarefaction synthesize whether...
Abstract In response to the COVID-19 pandemic, governments have implemented a wide range of nonpharmaceutical interventions (NPIs). Monitoring and documenting government strategies during crisis is crucial understand progression epidemic. Following content analysis strategy existing public information sources, we developed specific hierarchical coding scheme for NPIs. We generated comprehensive structured dataset their respective timelines implementation. To improve transparency motivate...
The island species–area relationship (ISAR) describes how the numbers of species increases with increasing size an (or island‐like habitat, such as lakes), and is one oldest laws in ecology. Despite its conceptual importance, there remains a great deal ambiguity regarding ISAR underlying processes. We compiled data from sampled zooplankton assemblages several hundred lakes North America Europe to examine influence three main hypothesized mechanisms leading ISARs – passive sampling,...
Abstract The island species–area relationship (ISAR) describes how the number of species increases with increasing size an (or island‐like habitat), and is fundamental importance in biogeography conservation. Here, we use a framework based on individual‐based rarefaction to infer whether ISARs result from passive sampling, or some processes are acting beyond sampling (e.g., disproportionate effects and/or habitat heterogeneity). Using data total relative abundances four taxa (birds,...
Abstract The relationship between an island’s size and the number of species on that island—the island species-area (ISAR)—is one most well-known patterns in biogeography, forms basis for understanding biodiversity loss response to habitat fragmentation. Nevertheless, there is contention about exactly how estimate ISAR, influence three primary ecological mechanisms—random sampling, disproportionate effects, heterogeneity— drive it. Key this estimates ISAR are often confounded by sampling...
Abstract The Island Species-Area relationship (ISAR) describes how the number of species increases with increasing size an island (or island-like habitat), and is fundamental importance in biogeography conservation. Here, we use a framework based on individual-based rarefactions to infer whether ISARs result from random sampling, or some process are acting beyond sampling (e.g., disproportionate effects and/or habitat heterogeneity). Using data total relative abundances four taxa (birds,...