R. Ejrnaes

Environmental drivers of the decline of the fen orchid, Liparis loeselii

The paper identifies nutrient status and hydrology as key factors driving the decline of the fen orchid, Liparis loeselii, with eutrophication and drainage being the primary causes.

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.

Treated like dirt: Robust forensic and ecological inferences from soil eDNA after challenging sample storage

This study assesses how storage duration and temperature affect soil eDNA metabarcoding results, finding minimal changes under 20°C for up to 28 days.

Contrasting impacts of urban and farmland cover on flying insect biomass

This study finds urban land cover negatively affects flying insect biomass, while farmland has a positive effect, with varying impacts across spatial scales in Denmark and Germany.

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.

Exploring a natural baseline for large herbivore biomass

The paper estimates natural baseline biomass for large herbivores using consumer-producer relationships, finding current levels are much lower than expected and suggesting significant restoration potential.

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.

Man against machine: Do fungal fruitbodies and eDNA give similar biodiversity assessments across broad environmental gradients?

This study compares fungal biodiversity assessments using eDNA-metabarcoding and fruitbody surveys across environmental gradients, finding convergence in some metrics but differences in others.

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.