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Background: Patterns that arise from an ecological process can be driven as much from the landscape over which the process is run as it is by some intrinsic properties of the process itself. The disentanglement of these effects is aided if it possible to run models of the process over artificial landscapes with controllable spatial properties. A number of different methods for the generation of so-called ‘neutral landscapes’ have been developed to provide just such a tool. Of these methods, a particular class that simulate fractional Brownian motion have shown particular promise. The existing methods of simulating fractional Brownian motion suffer from a number of problems however: they are often not easily generalisable to an arbitrary number of dimensions and produce outputs that can exhibit some undesirable artefacts. Methodology: We describe here an updated algorithm for the generation of neutral landscapes by fractional Brownian motion that do not display such undesirable properties. Using Monte Carlo simulation we assess the anisotropic properties of landscapes generated using the new algorithm described in this paper and compare it against a popular benchmark algorithm. Conclusion/Significance: The results show that the existing algorithm creates landscapes with values strongly correlated in the diagonal direction and that the new algorithm presented here corrects this artefact. A number of extensions of the algorithm described here are also highlighted: we describe how the algorithm can be employed to generate landscapes that display different properties in different dimensions and how they can be combined with an environmental gradient to produce landscapes that combine environmental variation at the local and macro scales.
Nowadays, agriculturally used areas form a major part of the German landscape. The conversion from natural habitats to agriculturally used grasslands fundamentally influences the diversity of plants and animals. Intensive use of these areas increases indeed the productivity of crop or biomass on meadows as food source for cattle. How these influences affect biodiversity, ecosystems and trophic interactions over years is still not understood completely. To understand biodiversity functions in an agriculturally used area my study focused on the influence of land use (fertilization, grazing and mowing) on a herbivore-parasitoid system of Plantago lanceolata. The ribwort plantain is a generalist herb of cosmopolitan distribution. It can grow in a very broad range of ground conditions (both in wet and dry habitats), which makes P. lanceolata an ideal model system for investigating tritrophic interactions in a gradient of land use intensity. The weevils Mecinus labilis and M. pascuorum feed and oviposit on P. lanceolata. Mesopolobus incultus is a generalist parasitoid that parasitizes different insect orders. However its only hosts on P. lanceolata are the two weevil species mentioned before. The intention of my study was to investigate the influence of land use on a tritrophic system and its surrounding vegetation (structure, density and species richness) at different spatial scales like subplot, plot and landscape level in three different regions (north, middle and south of Germany). I studied the influence of land use intensity not only correlative but also experimentally. Additionally I aimed to reveal how vegetation composition changes host plant metabolites and whether these changes impact higher trophic levels in the field.