J. E. Moeslund

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.

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.

Changes in the abundance of Danish orchids over the past 30 years

The paper analyzes 30 years of orchid abundance data from Denmark to identify population trends and their causes, finding significant declines linked to changes in land management practices.

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.

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.