Refine
Document Type
- Article (4)
- Doctoral Thesis (1)
Language
- English (5)
Has Fulltext
- yes (5)
Is part of the Bibliography
- no (5)
Keywords
- biodiversity (5) (remove)
Institute
- Biowissenschaften (5) (remove)
It is widely acknowledged that biodiversity change is affecting human well-being by altering the supply of Nature's Contributions to People (NCP). Nevertheless, the role of individual species in this relationship remains obscure. In this article, we present a framework that combines the cascade model from ecosystem services research with network theory from community ecology. This allows us to quantitatively link NCP demanded by people to the networks of interacting species that underpin them. We show that this “network cascade” framework can reveal the number, identity and importance of the individual species that drive NCP and of the environmental conditions that support them. This information is highly valuable in demonstrating the importance of biodiversity in supporting human well-being and can help inform the management of biodiversity in social-ecological systems.
Aim: Predicting future changes in species richness in response to climate change is one of the key challenges in biogeography and conservation ecology. Stacked species distribution models (S‐SDMs) are a commonly used tool to predict current and future species richness. Macroecological models (MEMs), regression models with species richness as response variable, are a less computationally intensive alternative to S‐SDMs. Here, we aim to compare the results of two model types (S‐SDMS and MEMs), for the first time for more than 14,000 species across multiple taxa globally, and to trace the uncertainty in future predictions back to the input data and modelling approach used.
Location: Global land, excluding Antarctica.
Taxon: Amphibians, birds and mammals.
Methods: We fitted S‐SDMs and MEMs using a consistent set of bioclimatic variables and model algorithms and conducted species richness predictions under current and future conditions. For the latter, we used four general circulation models (GCMs) under two representative concentration pathways (RCP2.6 and RCP6.0). Predicted species richness was compared between S‐SDMs and MEMs and for current conditions also to extent‐of‐occurrence (EOO) species richness patterns. For future predictions, we quantified the variance in predicted species richness patterns explained by the choice of model type, model algorithm and GCM using hierarchical cluster analysis and variance partitioning.
Results: Under current conditions, species richness predictions from MEMs and S‐SDMs were strongly correlated with EOO‐based species richness. However, both model types over‐predicted areas with low and under‐predicted areas with high species richness. Outputs from MEMs and S‐SDMs were also highly correlated among each other under current and future conditions. The variance between future predictions was mostly explained by model type.
Main conclusions: Both model types were able to reproduce EOO‐based patterns in global terrestrial vertebrate richness, but produce less collinear predictions of future species richness. Model type by far contributes to most of the variation in the different future species richness predictions, indicating that the two model types should not be used interchangeably. Nevertheless, both model types have their justification, as MEMs can also include species with a restricted range, whereas S‐SDMs are useful for looking at potential species‐specific responses.
Termites are important ecosystem engineers of the savanna biome, with the large mounds of fungus-cultivating termites being sources of habitat heterogeneity and structural complexity in African savanna landscapes. Studies from different localities throughout Africa have shown that termite mounds have a strong influence of diversity and composition of plant communities. However, most research has been conducted only at the local scale, and integrating knowledge across Africa is hampered by different methodology of studies and differing environmental context. Little is known about the variation in vegetation composition on termite mounds compared to the surrounding savanna at the regional scale and at the landscape scale, and the main determinants of plant communities on mounds are yet to be ascertained.
This thesis aimes at better understanding the influence of termite mounds on vegetation compared to the surrounding savanna across spatial scales. Three research projects analyse vegetation data and soil data from paired mound and savanna plots in West Africa. The first project examines the influence of termite-induced heterogeneity on plant diversity and vegetation composition at a regional scale, following a bioclimatic gradient from the Sahel of Burkina Faso to the Sudanian vegetation zone in North Benin. The second Project analysed variation of vegetation on and off mounds at the landscape scale in Pendjari National Park, North Benin. The third is a monitoring study over the course of two years, exploring dynamics of juvenile woody plant communities on mounds and in the surrounding savanna at a local scale. The thesis thus provides the first comparative quantitative analysis across scales of mound and savanna vegetation and the drivers of the mound–savanna difference in vegetation.
Synthesizing across scales, its results confirm that termite mounds strongly contribute to savanna plant diversity, even though mounds are not generally more species rich than the surrounding savanna. Variation in mound vegetation is much higher along climatic and soil gradients than previously acknowledged. Mound vegetation differs from the surrounding savanna in the whole study area and in each sampled savanna type, with the strongest differences occurring at the most humid study sites. A large proportion of the differences between mound and savanna vegetation is explained by clay enrichment and related soil factors, such as cation concentrations. Plants on mounds thus benefit from favourable soil conditions, including higher fertility and higher water availability, which is also mirrored by the higher abundance and basal area of juvenile woody plants found on mounds. The variation in mound vegetation between study sites across scales results in part from local differences in soil composition and from climatic differences that influence the regional distribution of species. Different sets of characteristic mound species are identified in each project. Specific plant families and traits like succulency, lianescence, and adaptations to zoochory are found to be overrepresented in mound communities.
In addition to the findings in this thesis, remaining parts of the variation in mound vegetation between study sites could likely be explained by investigating further factors. Specifically, mound vegetation depends on habitat context, which includes available species pools, spatial distribution of mounds, biotic interactions with dispersers and herbivores, fire, and also anthropogenic influence. The high proportion of species with adaptations to zoochory found on mounds, for example, indicates that animal dispersers should be of particular importance for vegetation on termite mounds. Herbivory and fire regime, which are known to contribute to the diversity and community composition of the mound–savanna system, also show strong local variation, not least because of anthropogenic influence.
In conclusion, termite mounds play a crucial role in maintaining heterogeneity and plant diversity in the savanna across scales. Ecosystem services provided by termites, especially considering long-term effects on soil fertility and ecosystem resilience, are most likely undervalued. Mounds should be considered in management plans from local to regional, transnational scales as a matter of course, accompanied by further research on the role of termite mounds in savanna ecology on a longer temporal scale. The research presented here thus provides a basis for future studies on termite mound vegetation that should specifically consider the biotic and abiotic context of the mound–savanna system.
Invasive alien species are a well-known and pervasive threat to global biodiversity and human well-being. Despite substantial impacts of invasive alien species, quantitative syntheses of monetary costs incurred from invasions in national economies are often missing. As a consequence, adequate resource allocation for management responses to invasions has been inhibited, because cost-benefit analysis of management actions cannot be derived. To determine the economic cost of invasions in Germany, a Central European country with the 4th largest GDP in the world, we analysed published data collected from the first global assessment of economic costs of invasive alien species. Overall, economic costs were estimated at US$ 9.8 billion between 1960 and 2020, including US$ 8.9 billion in potential costs. The potential costs were mostly linked to extrapolated costs of the American bullfrog Lithobates catesbeianus, the black cherry Prunus serotina and two mammals: the muskrat Ondatra zibethicus and the American mink Neovison vison. Observed costs were driven by a broad range of taxa and mostly associated with control-related spending and resource damages or losses. We identified a considerable increase in costs relative to previous estimates and through time. Importantly, of the 2,249 alien and 181 invasive species reported in Germany, only 28 species had recorded economic costs. Therefore, total quantifications of invasive species costs here should be seen as very conservative. Our findings highlight a distinct lack of information in the openly-accessible literature and governmental sources on invasion costs at the national level, masking the highly-probable existence of much greater costs of invasions in Germany. In addition, given that invasion rates are increasing, economic costs are expected to further increase. The evaluation and reporting of economic costs need to be improved in order to deliver a basis for effective mitigation and management of invasions on national and international economies.
Aim: The identification of the mechanisms determining spatial variation in biological diversity along elevational gradients is a central objective in ecology and biogeography. Here, we disentangle the direct and indirect effects of abiotic drivers (climatic conditions, and land use) and biotic drivers (vegetation structure and food resources) on functional diversity and composition of bird and bat assemblages along a tropical elevational gradient. Location: Southern slopes of Mt. Kilimanjaro, Tanzania, East Africa. Methods: We counted birds and recorded bat sonotypes on 58 plots distributed in near-natural and anthropogenically modified habitats from 700 to 4,600 m above sea level. For the recorded taxa, we compiled functional traits related to movement, foraging and body size from museum specimens and databases. Further, we recorded mean annual temperature, precipitation, vegetation complexity as well as the number of fruits, flowers, and insect biomass as measures of resource availability on each study site. Results: Using path analyses, we found similar responses of bird and bat functional diversity to the variation in abiotic and biotic drivers along the elevational gradient. In contrast, the functional composition of both taxa showed distinct responses to abiotic and biotic drivers. For both groups, direct temperature effects were most important, followed by resource availability, precipitation and vegetation complexity. Main Conclusions: Our findings indicate that physiological and metabolic constraints imposed by temperature and resource availability determine the functional diversity of bird and bat assemblages, whereas the composition of individual functional traits is driven by taxon-specific processes. Our study illustrates that distinct filtering mechanisms can result in similar patterns of functional diversity along broad environmental gradients. Such differences need to be taken into account when it comes to conserving the functional diversity of flying vertebrates on tropical mountains.