A. K. Brunbjerg

The characteristics of high-dark-diversity habitats derived from lidar

The paper identifies characteristics of high-dark-diversity habitats using lidar and field data across 33 North European habitat types.

High nutrient loads hinder successful restoration of natural habitats in freshwater wetlands

This study evaluates 20 wetland restoration projects in Denmark, finding that high nutrient levels hinder successful restoration of natural habitats and their associated plant diversity.

Scrub encroachment promotes biodiversity in wetland restoration under eutrophic conditions

The paper investigates how scrub encroachment affects biodiversity in wetlands under eutrophic conditions, finding that it can enhance species richness and conservation value.

Simple attributes predict the importance of plants as hosts to the richness of fungi and arthropods

The paper investigates how plant attributes predict the richness of associated fungi and arthropods using link scores derived from plant-consumer interaction databases.

Relationships between macro-fungal dark diversity and habitat parameters using LiDAR

This study investigates factors influencing macro-fungal dark diversity in temperate habitats using LiDAR and field data, finding that vegetation structure and plant richness are key drivers.

Multi-taxon inventory reveals highly consistent biodiversity responses to ecospace variation

The paper uses an ecospace framework to analyze multi-taxon biodiversity across 130 sites in Denmark, finding consistent responses to environmental variation and highlighting the role of organic matter for fungi and insects.

A systematic survey of regional multitaxon biodiversity: evaluating strategies and coverage

The paper evaluates a sampling strategy for regional multitaxon biodiversity, finding high coverage and spatial variation in species richness across Denmark.

Dark diversity reveals importance of biotic resources and competition for plant diversity across broad environmental gradients

This study examines how environmental gradients and biotic interactions influence plant diversity and dark diversity across different habitats.

LIDAR explains diversity of plants, fungi, lichens and bryophytes across multiple habitats and large geographic extent

This study evaluates LIDAR's ability to estimate biodiversity across four species groups in multiple habitats over a large area, finding several LIDAR measures strongly correlate with species richness.

Predicting provenance of forensic soil samples: soil DNA predicts habitat and environmental properties

The paper uses soil eDNA to predict environmental conditions, habitat types, and geographic regions, showing high accuracy for some variables but limitations in others.

Vascular plants are strong predictors of multi-taxon species richness

The paper tests if vascular plants predict multi-taxon species richness and finds they explain 48% of total species richness variation when combined with bioindicators.