scispace - formally typeset
P

Peder Klith Bøcher

Researcher at Aarhus University

Publications -  48
Citations -  2100

Peder Klith Bøcher is an academic researcher from Aarhus University. The author has contributed to research in topics: Biodiversity & Species richness. The author has an hindex of 23, co-authored 48 publications receiving 1654 citations.

Papers
More filters
Journal ArticleDOI

Bundling ecosystem services in Denmark: Trade-offs and synergies in a cultural landscape

TL;DR: In this article, the authors made a spatial analysis of 11 ecosystem services at a 10 km × 10 km grid scale covering most of Denmark and identified six distinct ecosystem service bundle types, indicating multiple interactions at a landscape level.
Journal ArticleDOI

High-Resolution 3-D Mapping of Soil Texture in Denmark

TL;DR: In this article, the authors used equal-area quadratic splines and regression rules to predict clay, silt, fine sand, and coarse sand content at six standard soil depths of GlobalSoilMap project (0-5, 5-15, 15-30, 30-60, 60-100, and 100-200 cm).
Journal ArticleDOI

Topography as a driver of local terrestrial vascular plant diversity patterns

TL;DR: It is found that topography is an important factor for local vascular plant diversity patterns in a broad range of habitats throughout the world, even in relatively lowlands, however, the mechanisms involved are varied and complex.
Journal ArticleDOI

Topographically controlled soil moisture drives plant diversity patterns within grasslands

TL;DR: In this article, the importance of topography, particularly topographically controlled soil moisture, for local and regional grassland plant diversity patterns across a 43,000 km2 lowland region (Denmark) was investigated.
Journal ArticleDOI

Predictive mapping of soil organic carbon in wet cultivated lands using classification-tree based models: the case study of Denmark.

TL;DR: This paper predicts and maps the geographic distribution of SOC across Denmark using remote sensing (RS), geographic information systems (GISs) and decision-tree modeling (un-pruned and pruned classification trees).