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Oceanic islands only comprise a small amount of the Earth’s land area but harbour a disproportionate amount of global biodiversity. This vast diversity is not only reflected in the taxonomic uniqueness of island biota but also in the remarkable evolution of functional traits. Functional traits, i.e. measurable characteristics that strongly influence the fitness of species, determine how a species responds to its environment and can help to gain more insights into the biogeographical, ecological and evolutionary processes that have shaped island biodiversity. However, research in island biogeography has primarily focused on species richness, and knowledge of functional trait patterns on oceanic islands is scarce. Hence, in this dissertation, I have explored how trait-based approaches can increase our understanding of how biodiversity on oceanic islands assembles and how it is driven by the environment. The Canary Islands (Spain) are a particularly suitable model system to investigate patterns and drivers of biodiversity. The archipelago is characterised by a high variation in environmental heterogeneity and inhabits a unique and well-described native flora. Therefore, I have investigated five principal research questions using the flora (Spermatophytes) of the Canary Islands as a study object. First, I have analysed how climate and biogeography shape the assembly of the Canary Islands flora using a novel trait-based approach. Second, the question of whether rare climates link to functional trait distinctiveness in the native Canary Islands flora was addressed. Third, I have examined how intraspecific trait variation is represented in the native flora of oceanic islands focusing on the succulent scrub of La Palma (Canary Islands). Fourth, this dissertation investigated whether scientific floras can be reliable sources for trait data of plants native to oceanic islands. Finally, I have explored how climate change may impact the native Canary Islands flora by analysing possible climate change-induced shifts in plant species distribution and plant traits.
The results of my dissertation expand the understanding of the importance of biogeography and the environment in determining the functional composition of island floras. I have assessed that traits of endemic plant species did not expand the functional trait space of the Canary Islands but were packed with the ones of non-endemic species. This result hints at a trait convergence in endemic species, possibly driven by non-adaptive speciation processes. Moreover, I have evidenced that humidity is a critical driver of functional diversity in native plant assemblages and particularly leads to a high trait convergence in arid environments via environmental filtering. In contrast, alien species have expanded the Canary Islands flora’s functional trait space. I further have shown that in contrast to native species assemblages, alien species assemblages are characterised by an increasing functional diversity with increasing aridity. This contrasting pattern of functional diversity could pose a potential risk to the native flora of the Canary Islands as a low functional diversity is expected to reduce the resilience of species assemblages to the establishment of more functionally diverse alien plant species. However, in this dissertation, I also have revealed that endemic plant species on the Canary Islands show a high intraspecific variation in arid environments, possibly as an adaptation to environmental stress. Intraspecific variation could help endemic plant species have a competitive advantage over alien species and be more resilient to environmental changes. Furthermore, in this dissertation, I have shown that scientific floras and taxonomic monographs could be used to gain information on quantitative functional traits of plants native to oceanic islands. This finding is particularly relevant for advances in trait-based research, as coverage of trait data for oceanic island floras is extremely poor in global trait databases. Hence, for some of the studies included in this dissertation, trait data were retrieved from scientific floras and taxonomic monographs and used to answer novel scientific research questions. Thus, I have used trait data from the literature to analyse the effect of climate change on the range size of plants native to the Canary Islands. Identifying plant species of particular conservation concern is critical on oceanic islands as many island species have limited distributions and small population sizes, and their niche tracking is impeded by insularity. I have revealed that single-island endemic plants gain less and lose more climatically suitable areas than archipelago endemic and non-endemic native plants due to a climate change-induced decrease in precipitation until 2100...
The estimation of water balance components as well as water-related indicators on the land surface by means of global hydrological models have evolved in recent decades. Results of such models are frequently used in global- and continental-scale assessments of the current and future state of the terrestrial water cycle and provide a valuable data basis, e.g., for the Intergovernmental Panel on Climate Change. The Water – Global Assessment and Prognosis (WaterGAP) model is one of the state-of-the-art models in that field and has been in development and application for around 20 years. The evaluation, modification and application of WaterGAP is the subject of this thesis. In particular, the sensitivity of climate input data on radiation calculation and simulated water fluxes and storages is evaluated in the first part. Effects of model modification such as updated spatial input datasets, improved process representation or an alternative calibration scheme are the focus of the second part. Finally, three applications of WaterGAP give insight into the capabilities of that model, namely an estimate of global and continental water balance components, an assessment of groundwater depletion and the impact of climate change on river flow regimes. Model experiments, which are described in six journal papers as well as the appendices, were used as the basis for answering the total of 13 research questions. One of the major foci was to quantify the sensitivity of simulated water fluxes and storages to alternative climate input data. It was found that the handling of precipitation undercatch leads to the greatest difference in water balance components, especially in those areas where WaterGAP is not calibrated due to a lack of river discharge observations. The modifications of WaterGAP in the last few decades has led in general to an improved simulation of monthly river discharge, but process representation in semi-arid and arid regions still requires improvements. With the most current model version, WaterGAP 2.2b, and for the time period 1971–2000, river discharge to the oceans and inland sinks is estimated to be 40 000 km3 yr-1, whereas actual evapotranspiration is simulated as 70 500 km3 yr-1. Future research needs for WaterGAP in particular but also for the global hydrological model community in general are defined, promoting a community-driven effort for a robust assessment of the continental water cycle.
Calcium-deficiency rickets (CDR) is a metabolic bone disease in children that is characterized by impaired mineralization and severe bone deformities. As CDR is often an endemic phenomenon that is almost exclusively restricted to tropical areas, environmental conditions are currently considered to be a possible predisposing factor for the CDR. Apart from a lack of macronutrients and micronutrients, an oversupply of potentially toxic elements (PTEs) in the soil-plant pathway of the CDR areas is thought to be involved in the aetiology of CDR. This study is the first to comprehensively analyze the impact of the environment on Ca deficiency and the resulting CDR.
To analyze the impact of the environment on CDR in developing countries, a rural region near Kaduna City, northern Nigeria, was chosen as a study area. From this area, cases of CDR have been reported since the early 2000s with a prevalence rate of 5%. Within this study area, 11 study sites, including areas with a high CDR prevalence (HR), a low CDR prevalence (LR) and no CDR prevalence (NR), were visited. In these HR, LR and NR study sites, the bedrock was investigated and the types of parent materials were identified. Local farmers were interviewed to determine the type and intensity of the land use. The soil types were determined along toposequences. The soil textures as well as the clay mineral fractions were determined. The pH values were measured, and the contents of organic carbon (OC) were determined. The potential cation-exchange capacity (CECpot) and the base saturation (BS) were analyzed. Furthermore, the total and plant-available macronutrient, micronutrient and PTE concentrations were measured in the soils. The drinking water was analyzed for pH values and the concentrations of Ca, Se and F were measured. The maize was analyzed for the Ca, Mg, K and P, Se and phytic acid (PA) contents.
The field and laboratory analyses on the bedrock showed that the HR, LR and NR study sites near Kaduna City, northern Nigeria, were underlain by Older Granites. A direct link between the distribution of the bedrock, the parent materials and the prevalence of CDR was not found. Interviews with the local farmers showed that the land use in the Kaduna study area is dominated by the cultivation of cash crops and food crops. Field analyzes on the soil types in the Kaduna study area showed that the distribution of the soil types is highly dependent on the topography and the distribution of the parent materials. In near vicinity to the inselbergs, Lixisols had developed on grus slope deposits. In the lower pediment and plain positions, Acrisols had developed on grus slope deposits and pisolite slope deposits. In the upper plains, Plinthosols had developed on pisolite slope deposits and in the river valleys, Fluvisols had developed on river deposits. Such soil types and soil type distributions are typical for granite-underlain areas in the northern guinea savanna of West Africa. Similarly, the physical soil conditions were representative for the soils of the northern guinea savanna: sandy topsoils, clayey subsoils and relatively high contents of kaolinite clay minerals in the clay fractions. With regard to the geochemical composition, no significant difference was found between the soils of the Kaduna study area and the soils of other granite-underlain areas in West Africa. Only the concentrations of P were considerably low in the soils of the Kaduna study area. However, P deficiency is a typical phenomenon in West African savanna soils and is not restricted to CDR areas. The micronutrient concentrations in the soils were low, but not critically low. Laboratory analyses on the amounts of PTEs showed that compared to worldwide background levels and international critical limits the PTE concentrations were very low in the soils of the Kaduna study area. In the drinking water, neither a significant lack of macronutrients and micronutrients, nor a noticeable oversupply of PTEs was found. The maize in the HR, LR and NR study sites contained normal contents of Mg, K and P, low contents of Ca and Se as well as slightly elevated concentrations of PA compared to West African food composition tables. Comparisons between the mineral contents of traditional and modern maize cultivars showed that the traditional maize cultivars contained significantly higher contents of Ca and noticeably lower concentrations of PA than the modern maize cultivars.
A direct link between the environmental conditions and the CDR in the Kaduna study area was considered unlikely, as neither a statistically significant lack of macronutrients and micronutrients, nor a statistically significant oversupply of PTEs was found in the environment of this area. Instead, the results indicated that the nutrition rather than the environmental conditions that impacts the prevalence of CDR.
Agriculture of crops provides more than 85% of the energy in human diet, while also securing income of more than 2.6 billion people. To investigate past, present and future changes in the domain of food security, water resources and water use, nutrient cycles, and land management it is required to know the agricultural land use, in particular which crop grows where and when. The current global land use or land cover data sets are based on remote sensing and agricultural census statistics. In general, these only contain one or very few classes of agricultural land use. When crop-specific areas are given, no distinction of irrigated and rainfed areas is made, whereas it is necessary to distinguish rainfed and irrigated crops, because crop productivity and water use differ significantly between them.
To support global-scale assessments that are sensitive to agricultural land use, the global data set of Monthly Irrigated and Rainfed Crop Areas around the year 2000 (MIRCA2000) was developed by the author. With a spatial resolution of 5 arc-minutes (approximately 9.2 km at the equator), MIRCA2000 provides for the first time, spatially explicit irrigated and rainfed crop areas separately for each of the 26 crop classes for each month of the year, and includes multi-cropping. The data set covers all major food crops as well as cotton, while the remaining crops are grouped into three categories (perennial, annual and fodder grasses). Also for the first time, crop calendars on national or sub-national level were consistently linked to annual values of harvested area at the 5 arc-minutes grid cell level, such that monthly growing areas could be computed that are representative for the time period 1998 to 2002.
The downscaling algorithm maximizes the consistency to the grid-based input data of cropland extent [Ramankutty et al., 2008], crop-specific total annual harvested area [Monfreda et al., 2008], and area equipped for irrigation [Siebert et al., 2007]. In addition to the methodology, this dissertation describes differences to other datasets and standard scaling methods, as well as some applications. For quality assessment independent datasets and newly developed quality parameters are used, and scale effects are discussed.
Supplementary Appendices document crop calendars for irrigated and rainfed crops for each of the 402 spatial units (Appendix I), data sources of harvested area and of cropping periods for irrigated crops, country by country (Appendix K), as well as data quality parameters (Appendix L, including spreadsheet files).
NE Mount Kenya is characterised by dense population and small scale farming is the main form of land use. In the region, continual pressure on the forest resources as result of land use is a continuing problem. The NE Mount Kenya Forest Reserves (Imenti Forest Reserve, Mount Kenya Forest Reserve) play an important role in the livelihood of the neighbouring communities. However population pressure, reserve management policies, economic changes, an ineffective land tenure system and poverty are socio-economic factors contributing to land use changes and an intensification of agriculture. Illegal factors like clearing forest vegetation for firewood and grazing areas, at the expense of the protected forest areas, are present. This study focuses on an interdisplinary approach to analyse socio-economic and ecological factors in NE Mount Kenya relevant to land degradation. This includes remote sensing data (interpretation of satellite images Landsat TM 1987 and ETM 2000) combined with interviews from the land user’s perspective. Ethnographic research of this type on this topic has not been done in the region before. This entailed applying both a qualitative (giving farmers the opportunity to identify factors they perceived as important in regard to land use) and a quantitative method of data analysis. The Mount Kenya Forest region is distinguished by high elevation and a humid to sub-humid climate, while the Imenti Forest region lies lower and is characterised by semi-humid and transitional zones. Land use in the Mount Kenya Forest region is mainly perennial thus eliminating seasonal land use changes. In the Imenti Forest region, 30% of the farmers said they had gone through major land use changes within the last 20 years. The major land use change consisted of a shift from residential farming in the protected areas which offered more farming and grazing areas, to being restricted to individual farm plots which consequently led to the intensification of cultivation thus contributing to land degradation. The satellite images in the same region show a clear decrease in coverage of forest vegetation and an increase in open areas in the Imenti Forest region which the farmers explain influences the tentative land use changes in the region. On the other hand, in the Mount Kenya forest region, there has been an increase in forest vegetation cover which is also evident in the satellite images. Areas that were plantation and cultivated regions in 1987 have forest cover in 2000, which the farmers stated was as a result of their afforestation initiatives. Nevertheless, indicators of degradation e.g. rill and gully erosion are evident and correlated to the intensified land use in both forest regions. The population impact in the region apparently intensifies land use therefore the identified socio-economic factors in the region should be given priority in integrating development projects that are directly beneficial to park-adjacent communities according to the needs of the particular agro-ecological zone (AEZ). Location specific research can better enhance the understanding of the socio-economic factors influencing land use change. Furthermore, promoting alternative income generating activities, besides the present livestock and crop farming, can help reduce the risks of land degradation.