T. Engel

Disentangling non-random structure from random placement when estimating β-diversity through space or time

This paper introduces a framework to quantify non-random contributions to beta-diversity using rarefaction curves and a coverage-standardized metric, applied to avian species composition in engineered and natural riparian areas.

Local changes dominate variation in biotic homogenization and differentiation

The paper analyzes long-term biodiversity data to show that local diversity changes drive biotic homogenization and differentiation, with homogenization more common at larger spatial and temporal scales.

Local biodiversity change reflects interactions among changing abundance, evenness and richness

The paper examines how changes in species abundance, evenness, and richness interact in local biodiversity, finding that richness changes are influenced by coordinated shifts in abundance and evenness, with stronger temporal correlations than spatial ones.

Using coverage-based rarefaction to infer non-random species distributions

The paper introduces a new metric, βC, to assess non-random species distribution by accounting for sample completeness, showing no latitude-related spatial structure changes in two case studies.

A multiscale framework for disentangling the roles of evenness, density and aggregation on diversity gradients

The paper extends the MoB framework to analyze diversity gradients by quantifying the roles of evenness, density, and aggregation along environmental gradients using ant data from the Great Smoky Mountains.

MoB (Measurement of Biodiversity): a method to separate the scale-dependent effects of species abundance distribution, density, and aggregation on diversity change

The paper introduces MoB, a method to decompose changes in species richness into components of abundance distribution, density, and spatial arrangement, and applies it to plant species data in invaded and uninvaded woodlands.