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I. Climate change comprises average temperatures rise, changes in the distribution of precipitation and an increased amount and intensity of extreme climatic events in the last decades. Considering these serious changes in the abiotic environment it seems obvious that ecosystems also change. Flora and fauna have to adapt to the fast changing conditions, migrate or go extinct. This might result in shifts in biodiversity, species composition, species interactions and in ecosystem functioning and services. Mountains play an important role in the research of these climate impacts. They are hotspots of biodiversity and can be used as powerful natural experiments as they provide, within short distances, the opportunity to research changes in the ecosystem induced by different climatic contexts. In this dissertation two approaches were pursued: i) surveys of biodiversity, trait dominance and assembly rules in communities depending on the climatic context and different management regimes were conducted (chapters II and III) and ii) the effects of experimental climate treatments on essential ecosystem features along the altitudinal gradient were assessed (chapters IV, V and VI). II. We studied the relative importance of management, an altitudinal climatic gradient and their interactions for plant species richness and the dominance of pollination types in 34 alpine grasslands. Species richness peaked at intermediate temperatures and was higher in grazed grasslands compared to non-managed grasslands. We found the climatic context and also management to influence the distribution and dominance structures of wind- and insect-pollinated plants. Our results indicate that extensive grazing maintains high plant diversity over the full subalpine gradient. Rising temperatures may cause an upward shift of the diversity peak of plants and may also result in changed species composition and adaptive potential of pollination types. III. On the same alpine grasslands we studied the impact of the climatic context along an altitudinal gradient on species richness and community assembly in bee communities. Species richness and abundance declined linearly with increasing altitude. Bee species were more closely related at high altitudes than at low altitudes. The proportion of social and ground-nesting species, as well as mean body size and altitudinal range of bees, increased with increasing altitude, whereas the mean geographic distribution decreased. Our results suggest that community assembly at high altitudes is dominated by environmental filtering effects, while the relative importance of competition increases at low altitudes. We conclude that ongoing climate change poses a threat for alpine specialists with adaptations to cool environments but low competitive capacities. IV. We determined the impacts of short-term climate events on flower phenology and assessed whether those impacts differed between lower and higher altitudes. For that we simulated advanced and delayed snowmelt as well as drought events in a multi site experiment along an altitudinal gradient. Flower phenology was strongly affected by altitude, however, this effect declined through the season. The manipulative treatments caused only few changes in flowering phenology. The effects of advanced snowmelt were significantly greater at higher than at lower sites, but altitude did not influence the effect of the other treatments. The length of flowering duration was not significantly influenced by treatments. Our data indicate a rather low risk of drought events on flowering phenology in the Bavarian Alps. V. Changes in the structure of plant-pollinator networks were assessed along an altitudinal gradient combined with the experimental simulation of potential consequences of climate change: extreme drought events, advanced and delayed snowmelt. We found a trend of decreasing specialisation and therefore increasing complexity in networks with increasing altitude. After advanced snowmelt or drought networks were more specialised especially at higher altitudes compared to control plots. Our results show that changes in the network structures after climate manipulations depend on the climatic context and reveal an increasing susceptibility of plant-pollinator networks with increasing altitude. VI. The aim of this study was to determine the combined effects of extreme climatic events and altitude on leaf CN (carbon to nitrogen) ratios and herbivory rates in different plant guilds. We found no overall effect of climate manipulations (extreme drought events, advanced and delayed snowmelt) on leaf CN ratios and herbivory rates. However, plant guilds differed in CN ratios and herbivory rates and responded differently to altitude. CN ratios of forbs (legume and non-legume) decreased with altitude, whereas CN ratios of grasses increased with altitude. Further, CN ratios and herbivory rates increased during the growing season, indicating a decrease of food plant quality during the growing season. Insect herbivory rates were driven by food plant quality. Contrasting altitudinal responses of forbs versus grasses give reason to expect changed dominance structures among plant guilds with ongoing climate change. VII. This dissertation contributes to the understanding of factors that determine the composition and biotic interactions of communities in different climates. The results presented indicate that warmer climates will not only change species richness but also the assembly-rules for plant and bee communities depending on the species' functional traits. Our investigations provide insights in the resilience of different ecosystem features and processes towards climate change and how this resilience depends on the environmental context. It seems that mutualistic interactions are more susceptible to short-term climate events than flowering phenology and antagonistic interactions such as herbivory. However, to draw more general conclusions more empirical data is needed.
1) Wenn der Erhalt der biologischen Vielfalt gesellschaftliche Zielvorgabe ist und dafür landwirtschaftlich genutzte Flächen einbezogen werden sollen, sind Maßnahmen zu präferieren, deren Opportunitätskosten gering sind. Diese Arbeit stellt den Versuch dar, solche Maßnahmen am Beispielsystem „Weinbau“ zu entwickeln. 2) Die Anbauform „Weinbau“ ist für diese Studie aus folgenden Gründen besonders geeignet: Rebflächen sind an Standorte mit besonderen klimatischen Bedingungen gebunden, die ebenfalls für Lebensgemeinschaften von Bedeutung sind, die in Deutschland als besonders gefährdet gelten (thermophile und xerothermophile Gemeinschaften). Auch die speziellen, früher artenreichen „Weinbergsgesellschaften“ (Flora und Fauna) verdienen besondere Beachtung; zudem ist in Unterfranken eine starke räumliche Beziehung zwischen Naturschutzgebieten, die thermophile und xerothermophile Artengemeinschaften schützen sollen, und umgebenden Rebflächen gegeben. Weiterhin erscheinen Rebflächen durch die Trennung der Anbaufläche in die Bereiche „Zeile“ (die den linienförmig angepflanzten Reben entspricht) und „Gasse“ (ein etwa zwei Meter breiter Streifen zwischen den Zeilen) hervorragend geeignet, landwirtschaftliche Produktion und biodiversitäts-orientierte Maßnahmen zu verbinden. 3) In der Region „Mainfranken“ (Deutschland, Bayern) wurden drei Vergleichsflächenpaare in Ertragsrebflächen ausgewählt, die einerseits praxisüblich, andererseits nach den Vorschriften des „ökologischen Landbaus“ i.S. des BML wirtschaften. 4) In der naturschutzfachlichen Analyse wurden folgende Gesellschaften der Vergleichsflächen faunistisch untersucht: bodenaktive (epigäische) Spinnen (Araneae), Laufkäfer (Carabidae), Zikaden (Auchenorrhyncha) und Heuschrecken (Saltatoria). Im betriebswirtschaftlichen Teil wurde nach Literaturdaten und Arbeitstagebüchern die Außenwirtschaft der Weinbaubetriebe analysiert. Beide Datengruppen wurden zusammengeführt, um die Auswirkungen betrieblicher Maßnahmen der Außenwirtschaft sowohl im Hinblick auf ihre naturschutzfachliche als auch betriebswirtschaftliche Wirksamkeit zu ermitteln und hieraus Umstellungsstrategien im Weinbau abzuleiten. Zudem wurden die monetären Differenzen quantifiziert, um die Höhe etwaiger Ausgleichszahlungen bestimmen zu können. 5) Die naturschutzfachliche Analyse zeigte, dass mit Ausnahme der Heuschrecken alle Gruppen eine starke Förderung durch den ökologischen Anbau erfuhren; die Förderung betraf sowohl die allgemeine Diversität wie naturschutzfachlich bedeutsame Arten. Diese Effekte konnten vor allem auf den Faktor „Einführung einer struktur- und artenreichen Dauerbegrünung“ sowie auf die Etablierung ungestörter Rückzugsbereiche zurückgeführt werden. Die Veränderungen des Pflanzenschutzes wurden als nicht wirksam eingestuft, die Kupferbehandlungen im ökologischen Weinbau werden sogar als problematisch angesehen. Weiterhin wurde die Maßnahme „Mulchen“ des ökologischen Weinbaus als problematische Maßnahme der Begrünungspflege identifiziert. 6) Die betriebswirtschaftliche Analyse zeigte, dass für die Ertragssituation der Betriebe vor allem der Pflanzenschutz bedeutsam ist. Von der Einführung einer Dauerbegrünung gehen moderate Effekte aus, die zudem oftmals auf eine „Umstellungsphase“ befristet sind. 7) In der Zusammenführung beider Analysen wird ein Anbauschema vorgeschlagen, dass ein modifiziertes Begrünungsmodell nach ökologischer Wirtschaftsweise mit einem modifizierten Pflanzenschutzsystem nach praxisüblicher Wirtschaftsweise kombiniert. Die Kalkulation eines solchen Systems zeigt, dass auf Ausgleichszahlungen verzichtet werden könnte, bzw. geleistete Zahlungen nicht als Kompensation i.e.S., sondern als Anreizzahlungen zu verstehen wären. 8) Die Notwendigkeit einer Überprüfung des entwickelten Schemas in einem Konversionsexperiment wird dargelegt.
Despite belonging to the best described patterns in ecology, the mechanisms driving biodiversity along broad-scale climatic gradients, like the latitudinal gradient in diversity, remain poorly understood. Because of their high biodiversity, restricted spatial ranges, the continuous change in abiotic factors with altitude and their worldwide occurrence, mountains constitute ideal study systems to elucidate the predictors of global biodiversity patterns. However, mountain ecosystems are increasingly threatened by human land use and climate change. Since the consequences of such alterations on mountainous biodiversity and related ecosystem services are hardly known, research along elevational gradients is also of utmost importance from a conservation point of view. In addition to classical biodiversity research focusing on taxonomy, the significance of studying functional traits and their prominence in biodiversity ecosystem functioning (BEF) relationships is increasingly acknowledged. In this dissertation, I explore the patterns and drivers of mammal and dung beetle diversity along elevational and land use gradients on Mt. Kilimanjaro, Tanzania. Furthermore, I investigate the predictors of dung decomposition by dung beetles under different extinction scenarios.
Mammals are not only charismatic, they also fulfil important roles in ecosystems. They provide important ecosystem services such as seed dispersal and nutrient cycling by turning over high amounts of biomass. In chapter II, I show that mammal diversity and community biomass both exhibited a unimodal distribution with elevation on Mt.Kilimanjaro and were mainly impacted by primary productivity, a measure of the total food abundance, and the protection status of study plots. Due to their large size and endothermy, mammals, in contrast to most arthopods, are theoretically predicted to be limited by food availability. My results are in concordance with this prediction. The significantly higher diversity and biomass in the Kilimanjaro National Park and in other conservation areas underscore the important role of habitat protection is vital for the conservation of large mammal biodiversity on tropical mountains.
Dung beetles are dependent on mammals since they rely upon mammalian dung as a food and nesting resource. Dung beetles are also important ecosystem service providers: they play an important role in nutrient cycling, bioturbation, secondary seed dispersal and parasite suppression. In chapter III, I show that dung beetle diversity declined with elevation while dung beetle abundance followed a hump-shaped pattern along the elevational gradient. In contrast to mammals, dung beetle diversity was primarily predicted by temperature. Despite my attempt to accurately quantifiy mammalian dung resources by calculating mammalian defecation rates, I did not find an influence of dung resource availability on dung beetle richness. Instead, higher temperature translated into higher dung beetle diversity.
Apart from being important ecosystem service providers, dung beetles are also model organisms for BEF studies since they rely on a resource which can be quantified easily. In chapter IV, I explore dung decomposition by dung beetles along the elevational gradient by means of an exclosure experiment in the presence of the whole dung beetle community, in the absence of large dung beetles and without any dung beetles. I show that dung decomposition was the highest when the dung could be decomposed by the whole dung beetle community, while dung decomposition was significantly reduced in the sole presence of small dung beetles and the lowest in the absence of dung beetles. Furthermore, I demonstrate that the drivers of dung decomposition were depend on the intactness of the dung beetle community. While body size was the most important driver in the presence of the whole dung beetle community, species richness gained in importance when large dung beetles were excluded. In the most perturbed state of the system with no dung beetles present, temperature was the sole driver of dung decomposition. In conclusion, abiotic drivers become more important predictors of ecosystem services the more the study system is disturbed.
In this dissertation, I exemplify that the drivers of diversity along broad-scale climatic gradients on Mt. Kilimanjaro depend on the thermoregulatory strategy of organisms. While mammal diversity was mainly impacted by food/energy resources, dung beetle diversity was mainly limited by temperature. I also demonstrate the importance of protected areas for the preservation of large mammal biodiversity. Furthermore, I show that large dung beetles were disproportionately important for dung decomposition as dung decomposition significantly decreased when large dung beetles were excluded. As regards land use, I did not detect an overall effect on dung beetle and mammal diversity nor on dung beetle-mediated dung decomposition. However, for the most specialised mammal trophic guilds and dung beetle functional groups, negative land use effects were already visible. Even though the current moderate levels of land use on Mt. Kilimanjaro can sustain high levels of biodiversity, the pressure of the human population on Mt. Kilimanjaro is increasing and further land use intensification poses a great threat to biodiversity. In synergy wih land use, climate change is jeopardizing current patterns and levels of biodiversity with the potential to displace communities, which may have unpredictable consequences for ecosystem service provisioning in the future.
Bis zum Jahr 2100 prognostiziert der Weltklimarat (IPCC 2021) einen Anstieg des Meeresspiegels von bis zu 63-101 cm gegenüber heutigen Wasserständen. Im Rahmen des Generalplans Küstenschutz Schleswig-Holstein(GKSH) soll als Klimafolgeanpassung eine Erhöhung und Profiländerung der meisten Nordseedeiche und Elbedeiche erfolgen (zusammen 363,3 km mit einer Vegetationsfläche von 3.500 ha). Diese Maßnahmen werden mit einem vollständigen Verlust der alten Deichvegetation einhergehen und zur Freisetzung von großen Mengen an CO₂ aus dem Bodenkohlenstoff führen. Die Seedeiche der Nordseeküste (262 km) zählen zu den artenreichen, semi-natürlichen und von Schafen beweideten Grasländern (Fläche von 2600 ha) in Schleswig-Holstein mit bis zu 18 Gras- und 64 zweikeim-blättrigen Blütenpflanzen und an die Vegetation gebundene 800-1000 Arten von Invertebraten (darunter 200 Käferarten). Auf die Außenböschung dringen Pflanzen der Salzwiesengesellschaften vor. Die steileren, wärmeexponierten (überwiegend nach Osten und Süden ausgerichtet) und durch Vertritt lückigen Innenböschungen der Seedeiche sind wertvolle Refugien wärmeliebender, konkurrenzschwacher Arten von Magerstandorten und Trittgesellschaften wie die folgenden mediterran-subatlantischen Arten: Knotenklettenkerbel (Torilis nodosa), Zwergklee/Armblütiger Klee (Trifolium micranthum) und Vogelfußklee (Trifolium ornithopodioides). Für die Erhaltung beider Kleearten (die aktuelle Verbreitung wird dokumentiert) besitzt Schleswig-Holstein eine nationale und nordwest-europäisch-kontinentale Verantwortlichkeit. Folgende Maßnahmen zum Schutz der reichhaltigen Deichvegetation und Teilen seiner Invertebratenfauna bei der Deichverstärkung im Rahmen des GKSH werden vorgeschlagen: 1. Abheben der Grasnarbe mit Wurzelraum und zeitnahe Wiederverlegung der alten Grasnarbe (Soden) auf das neue Deichprofil; das ist auch wichtig zum Erhalt des Bodenkohlenstoffs (Klimaschutz). 2. Einsaat von neuen Deichprofilen mit Saatgut von artenreichen Deichabschnitten. 3. Aufnahme substanzieller Forschungsprogramme/Forschungsförderung zur Ökologie der Seedeiche. Weiterhin sollte auf den Einsatz von Herbiziden auf Deichen zur Bekämpfung von Disteln verzichtet werden.
Current changes of biodiversity result almost exclusively from human activities. This anthropogenic conversion of natural ecosystems during the last decades has led to the so-called ‘biodiversity crisis’, which comprises the loss of species as well as changes in the global distribution patterns of organisms. Species richness is unevenly distributed worldwide. Altogether, 17 so-called ‘megadiverse’ nations cover less than 10% of the earth’s land surface but support nearly 70% of global species richness. Mexico, the study area of this thesis, is one of those countries. However, due to Mexico’s large extent and geographical complexity, it is impossible to conduct reliable and spatially explicit assessments of species distribution ranges based on these collection data and field work alone. In the last two decades, Species distribution models (SDMs) have been established as important tools for extrapolating such in situ observations. SDMs analyze empirical correlations between geo-referenced species occurrence data and environmental variables to obtain spatially explicit surfaces indicating the probability of species occurrence. Remote sensing can provide such variables which describe biophysical land surface characteristics with high effective spatial resolutions. Especially during the last three to five years, the number of studies making use of remote sensing data for modeling species distributions has therefore multiplied. Due to the novelty of this field of research, the published literature consists mostly of selective case studies. A systematic framework for modeling species distributions by means of remote sensing is still missing. This research gap was taken up by this thesis and specific studies were designed which addressed the combination of climate and remote sensing data in SDMs, the suitability of continuous remote sensing variables in comparison with categorical land cover classification data, the criteria for selecting appropriate remote sensing data depending on species characteristics, and the effects of inter-annual variability in remotely sensed time series on the performance of species distribution models. The corresponding novel analyses were conducted with the Maximum Entropy algorithm developed by Phillips et al. (2004). In this thesis, a more comprehensive set of remote sensing predictors than in the existing literature was utilized for species distribution modeling. The products were selected based on their ecological relevance for characterizing species distributions. Two 1 km Terra-MODIS Land 16-day composite standard products including the Enhanced Vegetation Index (EVI), Reflectance Data, and Land Surface Temperature (LST) were assembled into enhanced time series for the time period of 2001 to 2009. These high-dimensional time series data were then transformed into 18 phenological and 35 statistical metrics that were selected based on an extensive literature review. Spatial distributions of twelve tree species were modeled in a hierarchical framework which integrated climate (WorldClim) and MODIS remote sensing data. The species are representative of the major Mexican forest types and cover a variety of ecological traits, such as range size and biotope specificity. Trees were selected because they have a high probability of detection in the field and since mapping vegetation has a long tradition in remote sensing. The result of this thesis showed that the integration of remote sensing data into species distribution models has a significant potential for improving and both spatial detail and accuracy of the model predictions.
Since more than two centuries naturalists are fascinated by the profound changes in biodiversity observed along climatic gradients. Although the theories explaining changes in the diversity and the shape of organisms along climatic gradients belong to the foundations of modern ecology, our picture on the spatial patterns and drivers of biodiversity is far from being complete. Ambiguities in theory and data are common and past work has been strongly concentrated on plants and vertebrates. In the last two decades, interest in the fundamental processes structuring diversity along climatic gradients gained new impetus as they are expected to improve our understanding about how ecosystems will respond to global environmental changes. Global temperatures are rising faster than ever before; natural habitats are transformed into agricultural land and existing land use systems get more and more intensified to meet the demands of growing human populations. The fundamental shifts in the abiotic and biotic environment are proclaimed to affect ecosystems all over the world; however, precise predictions about how ecosystems respond to global changes are still lacking. We investigated diversity, traits and ecosystem services of wild bees along climate and land use gradients on Mount Kilimanjaro (Tanzania, East Africa). Wild bees play a major role in ecosystems, as they contribute to the reproduction and performance of wild and crop plants. Their responsiveness to environmental changes is therefore of high ecological and economic importance.
Temperature and energy resources have often been suggested to be the main determinants of global and local species richness, but the mechanisms behind remain poorly understood. In the study described in chapter II we analyzed species richness patterns of wild bees along climate and land use gradients on Mount Kilimanjaro and disentangled the factors explaining most of the changes in bee richness. We found that floral resources had a weak but significant effect on pollinator abundance, which in turn was positively related to species richness. However, temperature was the strongest predictor of species richness, affecting species richness both directly and indirectly by positively influencing bee abundances. We observed higher levels of bee-flower-interactions at higher temperatures, independently of flower and bee abundances. This suggests that temperature restricts species richness by constraining the exploitation of resources by ectotherms. Current land use did not negatively affect species richness. We conclude that the richness of bees is explained by both temperature and resource availability, whereas temperature plays the dominant role as it limits the access of ectotherms to floral resources and may accelerate ecological and evolutionary processes that drive the maintenance and origination of diversity.
Not only species numbers, but also morphological traits like body size are expected to be shaped by both physiological and energetic constraints along elevational gradients. Paradoxically, Bergmann´s rule predicts increases of body sizes in cooler climates resulting from physiological constraints, while species-energy theory suggests declines in the mean body size of species caused by increased extinction probabilities for large-bodied species in low-energy habitats. In chapter III we confronted this ambiguity with field data by studying community-wide body size variation of wild bees on Mt. Kilimanjaro. We found that along a 3680 m elevational gradient bee individuals became on average larger within species, while large species were increasingly absent from high-elevational communities. This demonstrates, on the one hand, how well-established, but apparently contrasting ecological theories can be merged through the parallel consideration of different levels of biological organization. On the other hand it signals that the extinction risk in the course of environmental change is not equally distributed among species within a community.
Land use intensification is known to threaten biodiversity, but the consequences for ecosystem services are still a matter of debate. In chapter IV, we experimentally tested the single and combined contributions of pest predators and pollinators to coffee production along a land use intensification gradient on Mount Kilimanjaro. We found that pest predation increased fruit set by on average 9%, while pollination increased fruit weight of coffee by on average 7.4%. Land use had no significant effect on both ecosystem services. However, we found that in coffee plantations with most intensified land use, pollination services were virtually exclusively provided by the honey bee (Apis mellifera). The reliance on a single pollinator species is risky, as possible declines of that species may directly lower pollination services, resulting in yield losses. In contrast, pollination services in structurally complex homegardens were found to be provided by a diverse pollinator community, increasing the stability of pollination services in a long term.
We showed that on Mount Kilimanjaro pollinator communities changed along elevational gradients in terms of species richness (chapter II) and trait composition (chapter III). Temperature and the temperature-mediated accessibility of resources were identified as important predictors of these patterns, which contributes to our fundamental understanding about the factors that shape ectothermic insect communities along climatic gradients. The strong temperature-dependence of pollinators suggests that temperature shifts in the course of global change are likely to affect pollinator communities. Pollinators might either profit from rising temperatures, or shift to higher elevations, which could result in related biotic attrition in the lowland with consequences for the provision of ecosystem services in cropping systems. Up to now, land use intensification had no significant impact on the diversity of pollinator communities and their ecosystem services. Pollinators might profit from the strong landscape heterogeneity in the region and from the amount of flower resources in the understory of cropping systems. However,progressing homogenization of the landscape and the pronounced application of pesticides could result in reduced diversity and dominance of single species, as we already found in sun coffee plantations. Such shifts in community compositions could threaten the stability of ecosystem services within cropping and natural systems in a long term.
This study investigates the abundance and geographic distribution of the hawkmoth species (Lepidoptera: Sphingidae) of Southeast-Asia and analyses the resulting patterns of biodiversity, biogeography and macroecology. Data on the distribution of species were retrieved from published and unpublished faunal lists and museum collections (in close cooperation with the Natural History Museum, London). Over 34,500 records of the global distribution of the 380 species that occur in Southeast-Asia (including New Guinea and the Solomon Islands) were used for a GIS-supported estimate of distributional ranges, which can be accessed at http://www.sphingidae-sea.biozentrum.uni-wuerzburg.de, an Internet site that also provides pictures of the species and checklists for 114 islands of the Malesian region. The abundance of species in local assemblages was assessed from nightly collections at artificial light sources. Using a compilation of own samples as well as published and unpublished data from other sources, local abundance data on 93 sites were used for analysis, covering 159 species or 17,676 specimens.