„A multidimensional framework for measuring biotic novelty: How novel is a community?“ has been published in Global Change Biology. This paper introduces the Biotic Novelty Index, an intuitive and flexible multidimensional measure that combines (a) functional differences between native and non‐native introduced species with (b) temporal dynamics of species introductions.
Connectivity or area – what drives plant species richness in habitat corridors? has been accepted in Landscape Ecology.
Authors Thiele J, Kellner S, Buchholz S & Schirmel J
In a nutshell, we found out that connectivity is more important for plant species richness in linear landscape elements than area. In particular, the richness of plant species that are dispersal limited and confined to semi-natural habitats benefits from connective networks of linear landscape elements in agricultural landscapes.
Using resistance distance from circuit theory to model dispersal through habitat corridors has been published in Journal of Plant Ecology.
Authors Thiele J, Buchholz S & Schirmel J
Abstract Resistance distance, based on circuit theory, is a promising metric for modelling effects of landscape configuration on dispersal of organisms and the resulting population and community patterns. The values of resistance distance reflect the likelihood of a random walker to reach from a source to a certain destination in the landscape. Although it has successfully been used to model genetic structures of animal populations, where it most often outperforms other isolation metrics, there are hardly any applications to plants and, in particular, to plant community data. Our aims were to test if resistance distance was a suitable metric for studying dispersal processes of plants in narrow habitat corridors (linear landscape elements). This would be the case, if dispersal processes (seed dispersal and migration) resembled random walks. Further, we compared the model performance of resistance distance against least-cost distance and Euclidean distance. Finally, we tested the suitability of different cost surfaces for calculations of least-cost and resistance distance.
We used data from 50 vegetation plots located on semi-natural linear landscape elements (field margins, ditches, road verges) in eight agricultural landscapes of Northwest Germany. We mapped linear landscape elements, including hedges and tree rows, from aerial images in a Geographic Information System, converted the maps into raster layers, and assigned resistance values to the raster cells, where all cells outside of linear landscape elements received infinite resistance and, thus, represented barriers to dispersal. For all pairs of plots within study areas, we calculated Jaccard similarity assuming that it was a proxy (or correlate) of dispersal events between plots. Further, we calculated resistance distance and least-cost distance of the network of linear landscape elements and Euclidean distance between the plots. We modelled the effects of distance metrics on community similarity using binomial Generalized Linear Mixed Models.
Euclidean distance was clearly the least suitable isolation metrics. Further, we found that resistance distance performed better than least-cost distance at modelling Jaccard similarity. Predictions varied markedly between the two distance metrics suggesting that resistance distance comprises additional information about the landscape beyond spatial distance, such as the possible presence of multiple pathways between plots. Cost surfaces with equal cell-level resistances for all types of linear landscape elements performed better than more complex ones with habitat-specific resistances. We conclude that resistance distance is a highly suitable measure of isolation or, inversely, connectivity for studying dispersal processes of plants within habitat corridors. It is likely also suitable for assessing landscape permeability in other landscape types with areal habitats instead of narrow corridors. Resistance distance holds the potential to improve assessments of isolation (or connectivity) for models of regional population and meta-community dynamics.
Trait composition and functional diversity of spiders and carabids in linear landscape elements has been published in Agriculture, Ecosystems and Environment.
Authors Schirmel J, Thiele J, Entling MH & Buchholz S
Abstract Agricultural intensification is a cause of global biodiversity decline. Seminatural linear landscape elements (LLE) within agricultural landscapes can considerably mitigate these declines, but their effects on functional properties of biodiversity are poorly known. We analyzed trait composition and functional diversity (functional dispersion) of spiders and carabids in woody and herbaceous LLE. We expected that species assemblages of woody LLE are more diverse and K-selected compared to herbaceous LLE, and that effects of environmental parameters vary between LLE types. We selected 58 LLE in an agricultural landscape in Northwest Germany. We sampled carabids and spiders by pitfall trapping and measured landscape connectivity, landscape-wide land-use diversity, local land-use diversity, and local plant richness as explanatory variables. The trait composition of arthropods in woody LLE was more K-selected (lower dispersal ability, a higher food specialization or trophic level) than in herbaceous LLE. Moreover, spider functional diversity was higher in woody LLE. Spider functional diversity and proportion of predatory carabids in woody LLE increased with increasing connectivity of the habitats. In contrast, in herbaceous LLE local plant richness and landscape-wide land-use diversity were most important drivers for spider and carabid diversity and traits. Our results show that species richness and functional diversity of spiders and carabids were differently affected by landscape and local factors. Therefore, the importance of landscape connectivity was higher in woody LLE, suggesting that their inhabitants are more sensitive to habitat fragmentation than the highly mobile generalist species living in herbaceous habitats.