Emergent infectious diseases represent a major threat for biodiversity in fragmented habitat networks, but their dynamics in host metapopulations remain largely unexplored. We studied a large community of pathogens (including 26 haematozoans, bacteria and viruses as determined through polymerase chain reaction assays) in a highly fragmented mainland bird metapopulation. Contrary to recent studi...

Quantifying habitat selection in marine organisms is challenging because it is difficult to obtain species location information with multiple corresponding habitat measurements. In the ocean, habitat conditions vary on many spatiotemporal scales, which have important consequences for habitat selection. While macroscale biotic and abiotic features influence seasonal movements (spatial scales of ...

Despite the important role of fungi for ecosystems, relatively little is known about factors underlying dynamics their diversity. Moreover, studies do not typically consider dark diversity: species absent from an otherwise suitable site. Here, we examined potential drivers local fungal diversity in temperate woodland and open habitats using LiDAR in-situ field measurements, combined with a syst...

Multiple forces structure natural microbial communities, but the relative roles and interactions of these drivers are poorly understood. Gradients of physical and chemical parameters can be especially influential. In traditional ecological theory, variability in environmental conditions across space and time represents habitat heterogeneity, which may shape communities. Here we used aquatic mic...

An example of the possible use of selected forest-stand based indicators for evaluation of conservation status was shown in case of the Natura 2000 forest habitats of Slovenia, and the potential threats to habitat types were identified. Using the existing forest-management system, and two levels of ICP Forests monitoring as sources of data on the size of habitat, tree composition, developmental...

In this paper, habitat models were used to predict potential habitat for endangered species, which is an important question in landscape and conservation planning. Based on logistic regression, we developed habitat distribution models for the burnet moth Zygaena carniolica and the nymphalid butterfly Coenonympha arcania in Northern Bavaria, Germany. The relation between adult occurrence and hab...