C. Damgaard

Spatio-temporal modelling of the effect of selected environmental and land-use factors on species-rich calcareous grasslands: overgrazing and nitrogen deposition

The paper models the impact of environmental and land-use factors on calcareous grasslands, finding overgrazing and nitrogen deposition negatively affect sensitive species, with precipitation having a significant effect.

Measuring plant diversity in a two-stage sampling design by Bayesian updated relative abundances

The paper introduces a Bayesian method to calculate local Hill diversity indices by updating relative abundances using prior distributions from similar habitats, applied to Danish Nardus grasslands.

Decline in large-seeded species in Danish grasslands over an eight-year period

The paper analyzes cover data from Danish grasslands over eight years and finds a decline in large-seeded species, using seed size as a functional trait to study community selection.

The need for alternative plant species interaction models

The paper modifies classical Lotka-Volterra models to address limitations in plant species interaction analysis and evaluates their performance using Bayesian modeling on field data.

Spatio-temporal structural equation modeling in a hierarchical Bayesian framework. II. What controls acid grassland vegetation?

The paper uses a hierarchical Bayesian structural equation model to quantify environmental and land-use effects on acid grassland vegetation, accounting for measurement and process uncertainties.

Adaptive management plans rooted in quantitative ecological predictions of ecosystem processes: putting monitoring data to practical use

The paper demonstrates using a hierarchical structural equation model on ecological monitoring data to generate local predictions for adaptive management of wet heathlands.

Identity and provenance of neighbors, genotype-specific traits and abiotic stress affect intraspecific interactions in the annual legume Medicago truncatula

The paper investigates how genotype-specific traits, abiotic stress, and neighbor identity influence intraspecific interactions in Medicago truncatula, finding that non-kin neighbors promote growth more than kin under low stress.

Estimating plant abundance in irregular polygons: plot-based sampling with a conditional spatial configuration

The paper proposes a method to select optimal spatial configurations for plot-based sampling in irregular polygons to estimate plant abundance while meeting specific constraints.

Integrating hierarchical statistical models and machine-learning algorithms for ground-truthing drone images of the vegetation: taxonomy, abundance and population ecological models

The paper develops a hierarchical statistical model to integrate machine-learning predictions with ground-truth data for drone imagery, improving ecological modeling of vegetation taxonomy and abundance.

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.

On the problems of not accounting for measurement- and sampling uncertainty in ecological and environmental models

The paper highlights issues with ignoring measurement- and sampling uncertainty in ecological models and suggests integrating stochastic error modeling into hierarchical frameworks.

Model-based ordination of pin-point cover data: effect of management on dry heathland

The paper applies a model-based ordination framework using the Dirichlet-multinomial distribution to analyze plant cover data from dry heathlands, finding that management treatments significantly affect vegetation composition.

Indication of a reduction in the cover of thin-leaved plants in Danish grasslands over an eight-year period

The study found a significant decrease in thin-leaved plant cover in Danish grasslands over eight years but observed limited trait selection on leaf traits.

The effect of spatial variation for predicting aphid outbreaks

The paper develops a spatio-temporal model to predict aphid outbreaks and finds that initial population sizes can be reliably predicted within a 10 km radius.