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Planning Modes for Major Transportation Infrastructure Projects (MTIPs): Comparing China and Germany
(2018)
Recent climate change has affected the forest system comprehensively. Northern hemisphere elevational treelines are considered as a key environment for monitoring the effects of current anthropogenic climate change. Moreover, trees from these areas are also widely employed in paleo-climate reconstructions. The stability of the tree growth climate relationship under current scenario is crucial for all tree ring based climate researches. It is important to investigate how trees respond to this rapid environmental change at altitudinal treelines. Tree cores from 21 treeline sites of three species (Pinus tabulaeformis, Picea crassifolia, and Sabina przewalskii) from Northeastern Tibetan have been conducted in this thesis. The instable correlations between tree growth and climate are the general response pattern of trees from all study sites in NE Tibetan Plateau. Picea crassifolia shows the most instable response to climate factors (mean monthly temperature and total monthly precipitation). Pinus tabulaeformis and Sabina przewalskii just showed instable and divergent responses to their main limiting climate factors but no clear trend was found which is limited by the few sample sites. Corresponding to divergent responses of Picea crassifolia to mean monthly temperature, most radial growth of Picea crassifolia were inhibited by this climate change type drought, only few trees within same sites grew faster due to temperature increasing during recent decades. The divergence response mainly started in last 30 years in six of eleven sample sites over the Northeastern Tibetan Plateau. North-westerly drier sites showed a large percentage of trees per site with a negative correlation to temperature and mostly southerly moister sites showed more mixed responses with both negatively and positively responding trees within site. Concurrent with the regional pattern, low elevation sites show mostly negative correlations with temperature and high elevation sites show more mixed responses. As the hydrothermal conditions of the investigation area changed to a drier and warmer combination, drought stress on tree growth have been intensifying over time and expanding spatially from the middle to most of our study area during the last half century. The Picea crassifolia tree growth climate relationship conducted on an elevational gradient with four different levels from upper treeline to lower treeline at the NE Tibetan Plateau. Results show that upper treeline trees show divergent growth trends and divergent responses in recent decades. Trees from lower treeline show a strengthening drought stress signal over time and no divergent growth trends within sites. This potential ecological reaction of tree populations to changing environmental conditions shows an implications for using trees to reconstruct climate, since the indiscriminate use of tree ring data from sites showing opposite responses to increasing warming could cause mis-calibration of tree ring based climate reconstructions, and over- or underestimation of carbon sequestration potential in biogeochemical models. The physiological response of Sabina przewalskii tree growth to major limiting climate factors based on the Vaganov-Shashkin (VS) model indicated that precipitation during the early growing season, especially in May and June, has significant effect on tree growth, while temperature mainly affects tree growth by warming-induced drought and by extending the growing season in the NE Tibetan Plateau. Under current and projected climate scenarios, modeling results predict an increase in radial growth of Sabina przewalskii around the Qaidam Basin, with the potential outcome that regional forests will increase their capacity to sequester carbon. However, most Picea crassifolia trees growing at lower elevations than Sabina przewalskii might be continue stressed by the warming induced drought and might decrease radial growth in future.
For many years, rangeland ecologists have debated about whether the state of semi-arid and arid rangelands is the expression of an ecological equilibrium or non-equilibrium dynamics reached in response to grazing livestock. Since the problem has been considered at different spatial scales, it is recognised that the competing concepts of equilibrium and non-equilibrium dynamics need to be integrated. Furthermore, the role of environmental variables as vegetation driving factors has long been ignored in the discussion on grazing effects on ecosystems. Present thesis, examines the dependence of plant communities on environmental in particular site-ecological conditions in three ecosystems of Western Mongolia established along a precipitation gradient to detect the vegetation-driving ecological factors involved. Furthermore, grazing impact is exemplary assessed in a desert steppe at additional spatial scales of plant communities and population. At the landscape level, a classification of plant communities in dependence on environmental conditions is carried out. Additionally, the investigations focused on the impact of grazing on soil and on the occurrence of grazing-mediated plant communities. Data were sampled along an altitudinal gradient between 1150 m to 3050 m a.s.l. from arid lowland with desert steppe via semi-arid mountain steppe to humid alpine belt. Within each altitudinal belt, data sampling was carried out along grazing gradients, established from grazing hot spots to areas distant from them. By means of an environmentally based vegetation classification, factors with highest explanation values for largest variation in vegetation were identified and considered as most responsible for vegetation patterns. To validate and affirm the classification, three different statistical methods are applied: environmentally adjusted table work of vegetation relevés supported by cluster analysis of species distribution, detrended correspondence analysis of vegetation data separately from environmental data, and the principle component analysis of only environmental data. Vegetation-driving factors change along the altitudinal gradient from abiotic forces in the desert steppe, as e.g. altitude and soil texture, to abiotic and biotic forces in the alpine belt represented by soil texture, soil nutrients and grazing. Vegetation and soil of all ecosystems respond to grazing but with different patterns and to a different extent. While desert steppe does not indicate grazing communities, mountain steppe demonstrates grazing communities at fertilised sites and alpine belt at nutrients depleted sites. Thus, the grazing sensitiveness of the ecosystems is assumed to be linked with plant productivity and the role of vegetation as site-determining factor (Chapter 2). To examine grazing impact at lower spatial scales on desert steppe as the ecosystem with lowest grazing sensitiveness at the landscape scale, at community scale the total number of species, the total vegetation cover, the percentage of annual species, the cover of annual species, and properties of soil nutrient along gradients of grazing intensity within three different communities were assessed. Vegetation parameters respond to grazing in different ways, and the responses of the same parameters vary between plant communities. Correlations with grazing intensity indicate only partly statistical significance. Significant correlations of grazing intensity with concentrations of soil nutrient point to eutrophication in two communities. A comparison of vegetation and soil properties refers to a greater indirect influence of grazing via increased soil nutrients than the direct effect on vegetation (Chapter 4). At the population level, data about stand density, aboveground biomass, individual plant weight, and the proportion of flowering plants of the dominant dwarf semi-shrub Artemisia xerophytica were collected along a grazing gradient. Soil data were used to distinguish between grazing and edaphic influences. All parameters of Artemisia xerophytica reflect the assumed gradient of grazing intensity up to 800 m distance from the grazing hot spot. As grazing pressure decreases, plant density and total biomass per plot increase. The average shrub weight, an indicator of plant vitality, is related to both: distance from the grazing hot spot and stand density, which may be explained by additional intraspecific competition at higher densities. At a longer distance, these effects are masked by variations in soil parameters determining water availability, leading to quite similar degradation forms. These results are in contrast to other studies carried out at the scale of plant communities which did not detect significant changes along a grazing gradient. One explanation is the different map scale: the study took place only within a single plant community comparing populations of one species (Chapter 3). The comparative study demonstrates that even arid desert steppes of western Mongolia display equilibrial and non-equilibrial properties, depending on the observational scale: while no grazing mediated plant communities could be identified at the landscape scale as predicted by the non-equlilibrium model, at the community level vegetation parameters imply an intermediate position between equilibrium and non-equilibrium system. At the population level, the results clearly reflect the grazing gradient as predicted by the equilibrium model (Chapter 4). As a consequence, the assessment of vegetation dynamics and grazing impact in rangelands requires a multiple-scale approach that duly considers different vegetation properties responding differently to grazing, climatic and edaphic variability at different spatial scales. It is further suggested, that future research should draw comparisons between landscapes that co-evolved with herbivory, and those that did without (Chapter 4).
Abstract
Climate change is increasing the frequency and intensity of drought events in many boreal forests. Trees are sessile organisms with a long generation time, which makes them vulnerable to fast climate change and hinders fast adaptations. Therefore, it is important to know how forests cope with drought stress and to explore the genetic basis of these reactions. We investigated three natural populations of white spruce (Picea glauca) in Alaska, located at one drought‐limited and two cold‐limited treelines with a paired plot design of one forest and one treeline plot. We obtained individual increment cores from 458 trees and climate data to assess dendrophenotypes, in particular the growth reaction to drought stress. To explore the genetic basis of these dendrophenotypes, we genotyped the individual trees at 3000 single nucleotide polymorphisms in candidate genes and performed genotype–phenotype association analysis using linear mixed models and Bayesian sparse linear mixed models. Growth reaction to drought stress differed in contrasting treeline populations. Therefore, the populations are likely to be unevenly affected by climate change. We identified 40 genes associated with dendrophenotypic traits that differed among the treeline populations. Most genes were identified in the drought‐limited site, indicating comparatively strong selection pressure of drought‐tolerant phenotypes. Contrasting patterns of drought‐associated genes among sampled sites and in comparison to Canadian populations in a previous study suggest that drought adaptation acts on a local scale. Our results highlight genes that are associated with wood traits which in turn are critical for the establishment and persistence of future forests under climate change.
Forests influence the climate of our Earth and provide habitat and food for many species and resources for human use. These valuable ecosystems are threatened by fast environmental changes caused by human-induced climte change. Negative growth responses and higher tree mortality rates were associated with increasing physiological stress induced by global warming. Especially boreal forests at high latitudes in the arctic region are threatened, a region predicted to undergo the highest increase in temperature during the next decades. Therefore, it is important to assess the adaptation potential in trees. For this purpose, I studied natural populations of white spruce (Picea glauca (Moench) Voss) in Alaska. In this thesis, I present three scientific papers in which my co-authors and I studied the phenotypic plasticity and genetic basis of tree growth, wood anatomy and drought tolerance as well as the genetic structure of white spruce populations in contrasting environments. We established three sites representing two cold-limited treelines and one drought-limited treeline with a paired plot design including one plot located at the treeline and one plot located in a closed-canopy forest, respectively. Additionally, the study design included one forest plot as reference. Within the entire project, in total 3,000 trees were measured, genotyped and dendrochronological data was obtained. I used several approaches to estimate the neutral and adaptive genetic diversity and phenotypic plasticity of white spruce as a model organism to explore the adaptation potential of trees to climate change.
In the first chapter, I combined neutral genetic markers with dendrochronological and climatic data to investigate population structure and individual growth of white spruce. Several individual-based dendrochronological approaches were applied to test the influence of genetic similarity and microenvironment on growth performance. The white spruce populations of the different sites showed high gene flow and high genetic diversity within and low genetic differentiation among populations, rather explained by geographic distance. The individual growth performances showed a high plasticity rather influenced by microenvironment than genetic similarity.
In the second chapter, I investigated the populations of the drought and cold-limited treeline sites to decipher the underlying genetic structure of drought tolerance using different genotype-phenotype association analyses. Based on tree-ring series and climatic data, growth declines caused by drought stress were identified and the individual reaction to the drought stress event was determined. A subset of 458 trees was genotyped, using SNPs in candidate genes and associated with the individual drought response. Most of the associations were revealed by an approach which took into account small-effect size SNPs and their interactions. Populations of the contrasting treelines responded differently to drought stress events. Populations further showed divergent genetic structures associated with drought responsive traits, most of them in the drought-limited site, indicating divergent selection pressure.
In the third chapter, my co-authors and I studied xylem anatomical traits at one of the cold-limited treeline sites to investigate whether genetic or spatial grouping affected the anatomy and growth of white spruce. Annual growth and xylem anatomy were compared between spatial groups and between genetic groups and individuals. Overall, wood traits were rather influenced by spatial than genetic grouping. Genetic effects were only found in earlywood hydraulic diameter and latewood density. Environmental conditions indirectly influenced traits related to water transport.
In conclusion, white spruce showed a high genetic diversity within and a low genetic differentiation among populations influenced by high gene flow rates. Genetic differences among populations are rather caused by geographical distance and therefore genetic drift. Differing selection pressure at the treeline ecotones presumably lead to divergent genetic structures underlying drought-tolerant phenotypes among the populations. Thus, adaptation to drought most likely acts on a local scale and involves small frequency shifts in several interacting genes. The identified genes with adaptive growth traits can be used to further exlore local adaptation in white spruce. Tree growth and wood anatomical traits are rather influenced by the environment than genetics and showed a high phentoypic plasticity. The high genetic diverstiy and phenotypic plasticity of white spruce may help the species to cope with rapid environmental changes. Still, additional work is needed to further explore adaptation processes to estimate how tree species reacted to rapid climate change. The presented thesis shed some light on the adaptation potential of trees by the example of white spruce using several approaches.
Global climate change is occurring all over the world, but in the Arctic the climate is changing more rapidly and drastically than in many other parts of our planet. Many species that are already at their climatic limit need to adapt to recent climate conditions or migrate in order to not go extinct. The possibilities of adaption include phenotypic plasticity and adaptation to various extents. This is also the case for white spruce P. glauca, which belongs to the conifers and thus in the largest group of gymnosperms still living today. Among the approx. 600 extant conifer species white spruce is one of the most widespread trees in North American boreal forests. Its range extends from 69° N in the Canadian Northwest Territories to the Great Lakes at about 44° N, where it occurs from sea level to an altitude of about 1520 m (Burns and Honkala, 1990). Site related, climate-dependent differences in white spruce reproduction can be seen as a strategy to survive under the harsh climatic conditions at Alaska's treelines: Besides sexual reproduction, the vegetative propagation occurs in the white spruce as an additional reproductive mechanism. This can be realized by "layering" when the lower branches of the tree crown touch the ground and develop roots to later grow as a separate individual with or without a connection to the mother tree. Known as other mechanisms of vegetative propagation are also the rooting of fallen trees which were not completely uprooted, and the "root suckering", in which new shoots sprout from the roots of the tree. However, the latter was not yet observed in the genus Picea. With the help of short, repetitive, non-coding sequences in the genome, which are therefore not subject to selection and are called microsatellites, these clones can be determined by genotyping.
For this purpose, using different polymorphic microsatellites, an individual multilocus genotype is created for each tree, by means of which it can be compared with all other trees of the same species.
In the first part of this work (article I), the occurrence of clones in three study areas at Alaskan treelines are examined and the reasons for their appearance in variable numbers are discussed. For this purpose, 2571 white spruces (P. glauca) were genotyped and their position was determined via differential GPS in the field. The percentage of clonal trees is higher in areas with harsh climatic conditions and correlates with the height of the lowest branches of the tree crown. This suggests that the vegetative propagation of white spruce is a backup strategy for times when climatic conditions hamper sexual reproduction. The correlation between clone numbers and tree crown height suggests "layering" as the main mechanism for cloning whereas selection for vegetative reproduction seems to be very unlikely shown by the results for genetic differentiation between the clonal and the singleton trees in this study.
In the second part of this work (articles II and III), the influence of environmental factors and phenotypic traits on the mycobiome of the needles (including all fungi living on (epiphytic) and in (endophytic) the needles) in our study areas in Alaska was investigated. The mycobiome of the white spruce needles was chosen as a proxy for the parasite infection rate by fungi and thus serves as a fitness parameter. For this purpose, all epiphytic and endophytic fungal species were analyzed by a metabarcoding analysis.
In article II, 48 trees of one study area at Alaska’s northern treeline (Brooks Range) were examined for differences in mycobiome due to genetic differentiation, phenotypic characteristics and / or habitat characteristics. The trees used for this study were sampled from two adjacent plots on a south-facing mountain slope with an elevation gradient from 875 to 950 meters above sea level. It could be shown that, in contrast to the trees genotype, the height above sea level, the mountain slope, as well as the height and age of the trees have a significant impact on the mycobiome. The genetic differentiation between the tree individuals, however, showed no significant effect.
Based on article II we examined the mycobiome composition of a total of 96 trees in 2 plots (16 trees each) at three sites in Alaska over a distance of 500 kilometers. Additionally, we sampled needles of two different ages for each tree (current year and three years old needles) summing up to 192 samples in total. The incentive of this study (article III) was to investigate the influence of origin and age of spruce needles on their mycobiome and if there is a genetic predisposition that is related to the fungal species community. In addition, the sampling design was improved by collecting needles from all four orientations (North, South, East and West) and sampling trees at a standardized distance to each other to avoid systematic errors. Comparable to article II the influence of the trees genetics on the species community of the epiphytic and endophytic fungi of the white spruce needles seems to be very unlikely. In contrast, a significant influence of the geographic origin and the needle age on the species structure of the needle inhabiting fungal species was found. The phenotypic tree traits height and dbh (diameter at breast height) had only minor influence and did in fact explain less than 2% of the mycobiome variance. Using Illumina sequencing, 10.2 million reads from the nucleotide sequence between the internal transcribed spacer (ITS) genes could be obtained, which yielded in 1575 ribotypes (called operational taxonomic unit, OTU) for the fungi. These were compared with a reference database to compare and assign them to known fungal species. For example, 942 OTUs with >95% similarity could be identified as known species, with 1975 samples identified on genus level and 2683 when determined to family level. The most pronounced difference between the two studies (article II and III) were due to the fungal species of the class of Pucciniomycetes, more specifically the genus Chrysomyxa which belongs to the rust fungi and is plant pathogenic. In the study of article II (sampling in 2012), Pucciniomycetes accounted for only a minor portion of the assigned DNA sequences. In the second study (article III, sampling in 2015) they accounted for more than half of all basidiomycetes found, which in turn contain 20.0% of all DNA sequences, the second largest phylum found beside Ascomycetes (51.4%).
Myxomycetes or Myxogastria (supergroup Amoebozoa) are one of several Protistean groups dispersing via airborne spores. The model organism for the group, so far exclusively studied in a laboratory environment, is Physarum polycephalum. Here, molecular evolution, distribution and the ecology of spores dispersal was investigated for the non-model species Physarum albescens. This nivicolous myxomycete fruits with snow melt in most mountain ranges of the northern hemisphere and disperses via spherical, dark-colored and melanin-rich spores. Fruit body development and subsequent spore dispersal occurs within a short time window of a few days. At this time, the fruiting plasmodium is fully exposed to the harsh environment if the protecting snow melts away. The spores, with a diameter of 10–13 µm of the typical size for myxomycetes, can potentially reach all suitable habitats worldwide, which led to the assumption that not only Ph. albescens but most myxomycete species should be ubiquitously distributed over the world.
In the first part of this study (article 1), the question was, if spore dispersal can realize a gene flow sufficient to meet the above-mentioned assumption. A total of 324 accessions of Ph. albescens, collected all over the northern hemisphere, was sequenced for 1-3 genetic markers (SSU, EF1A, COI), and 98 specimens were further analyzed using the genotyping by sequencing technique. As a result, at least 18 reproductively isolated units, which can be seen as cryptic biological species, emerged as phylogroups in a three-gene phylogeny, but as well in a SNP-based phylogeny and were confirmed by a recombination analysis between the three markers. However, this evolutive radiation is not simply caused by geographic fragmentation due to low dispersal capability: within a certain region, multiple phylogroups coexisted next to each other, although some appeared to be regional endemics. Most likely, mutations in mating-type genes, as shown to exist for the cultivable Ph. polycephalum, are the main drivers of speciation. This challenges the hypothesis of ubiquitous distribution of Ph. albescens and corroborates the results of the few available studies for other myxomycete species. In addition, groups of clonal specimens, mostly but not always restricted to a certain slope or valley indicated that sexual and asexual reproduction coexists in the natural populations of Ph. albescens.
In the second part (articles 2), the fundamental niche for Ph. albescens was described using all available records for the species. The resulting set of 537 unique occurrence points was subjected to a correlative spatial approach using the software MaxEnt. In dependence on the predictor variables three species distribution models emerged which differed only in details. The first consisted of only 19 bioclimatic variables and an elevation map from the WorldClim dataset. The second was corrected for pseudo-absences resulting from missing survey activities, and the third was expanded with an additional categorical environment variable on snow cover. High mean AUC (area under the curve) values above 0.97 could be reached with all three models. Variables for snow cover, precipitation of the coldest quarter (of the year), and elevation correlated highly to predict the distribution of Ph. albescens. Only in mid-northern latitudes, elevation alone was a good predictor, but it would cause false-positive predictions in arid mountain ranges and failed to explain occurrence in lowland sites at higher latitudes. Mountains in humid climates showed the highest incidences, confirming recent studies that long-lasting snow covers combined with mild summers are crucial for the ecological guild of nivicolous myxomycetes, with Ph. albescens as a typical species.
Spore size is crucial for dispersal ability and should thus be a character under strong selection. In addition, spores carrying two nuclei with opposite mating types should have a colonization advantage. This was the hypothesis for the last part of this study (articles 3 and 4), which investigated this trait in a quantitative manner. This required a method to analyze thousands of spores automatically (article 3) and with high precision for size and the number of nuclei enclosed. Human errors should be excluded, to reveal even subtle differences in the resulting spore size distributions. Two challenges had to be met for this approach. First, a preparation technique was developed to reduce false segmentations due to overlaying spores by aligning spores on one common plane with a high-frequency vibration device. Second, the segmentation process was automated to allow separating spores that are densely packed in the respective images. A machine learning algorithm was set up and trained to reliable identify and measure dark-colored spores. The technique produced consistent results with high accuracy, and the large number of spores allowed to compile spore size distributions, to check for the constancy of this character, which is impossible with manual measurements limited to low numbers.
The resulting spore size distributions, obtained from over 80 specimens (article 4), were mostly narrow, which is in accordance with our hypothesis. Spore size was as well fairly constant within fructifications from one colony. However, mean spore size within different accessions of Ph. albescens showed large variation (ca. 10%, a range often indicated to key out different morphospecies of myxomycetes), and this was explained only by a minor part with differences between biospecies. Not much smaller (8%) was the variation within a group of clonal specimens collected within 25 m distance. This points to a strong influence of environmental factors even at a micro spatial scale, perhaps caused by microclimatic differences and high phenotypic plasticity for spore size. The influence of large-scale covariates like altitude or latitude was negligible. However, spore size correlated with the variance in this trait, indicating that oversized spores may be caused by detrimental environmental conditions. Two aberrations in spore development were found: First, a few specimens showed a multimodal distribution for spore size with two or even three discernible spore populations. The estimated volumes of those populations correspond to a multiple of the first and most abundant conspicuous spore size population. Second, not all spores were uninucleate as to be expected for meiotic products. This was revealed by fluorescence signals from staining the same spores with DAPI, with a second machine learning algorithm trained to identify the nuclei in a spore. A few specimens showed a significant proportion of binucleated spores in the size range of normal-sized ones, and these specimens were not the ones with multimodal spore size distributions. This indicates that the negative impacts (inbreeding) of multinucleate spores should outweigh a possible colonization advantage and is in accordance with the high genetic diversity found in the worldwide population of Ph. albescens, indicating predominantly sexual reproduction in wild populations of myxomycetes.
Drainage has commonly been a pre-requisite for the productive use of peatlands. The biased focus on agriculture, forestry and peat extraction has long ignored the destructive effects of drainage and the successive degradation of ecosystem functions of wet peatlands. Accelerated by the climate crisis, the finite nature of drainage-based peatland use is increasingly recognised. Consequently, productive land use options for wet or rewetted peatlands (paludiculture) are required as sustainable alternatives. A wide range of paludiculture plants and options of biomass utilisation are identified as suitable and promising. Despite the growing interest, experiences with and research on the economic viability of paludiculture are still rare.
This thesis addresses the lack of knowledge on paludiculture in terms of practical feasibility, costs and benefits at the farm level, market prospects and framework conditions. I selected the two currently most advanced paludicultural practices in Europe: a) Harvesting natural reed beds as a traditional ‘low-input’ paludiculture, i. e. the utilisation of existing ‘wild’ vegetation stands; b) ‘Sphagnum farming’ as a novel ‘high-input’ paludiculture including stand establishment and water management required for the active transformation from drainage-based peatland use to paludiculture. In both cases, I investigate three different biomass utilisation avenues. This thesis adds to the fields of problem-driven sustainability and land-use science. Procedures and costs of paludiculture were studied in transdisciplinary research projects in close cooperation with practitioners. Due to the novelty of the topic, I put special emphasis on the triangulation of methods and data sources: pilot trials, field measurements, semi-structured expert interviews, structured questionnaires, secondary data from trade statistics and literature. To account for uncertainty related to costs and revenues, I conduct stochastic scenario analysis (Monte Carlo simulation) for the extended contribution margin accounting of harvesting reeds and sensitivity analysis for the investment appraisal of Sphagnum farming.
Paludiculture on fens: harvesting reeds
Paper I investigates harvesting procedures for reed-dominated (Phragmites australis) vegetation stands. In many European countries special-purpose tracked machinery is applied for large-scale conservation management and the commercial harvest of thatching reed. Stochastic scenario analysis reveals a wide range of possible economic outcomes (ca. € -1000 to € 1500 ha-1 a-1) and identifies material use of reed superior to its use as a source of energy. Winter harvest of high-quality thatching reed in bundles is the most profitable option. Winter harvest of bales for direct combustion is suitable for low-quality stands and has a limited risk of loss. In the case of summer harvest, revenues for green chaff for biogas production cannot cover harvesting costs but non-market income via subsidies and agri-environmental payments may ensure profitability. While biomass for energy generation is limited to a local market, thatching reed is traded as an international commodity. The market situation for thatching reed is investigated for Europe (Paper II) and Germany (Paper III). The major reed consuming countries in Western Europe (Netherlands, Germany, UK, Denmark) rely on imports of up to 85 % of the national consumption, with reed being imported from Eastern and Southern Europe and since 2005 also from China. The total market volume for reed for thatching in Northern Germany is estimated with 3 ± 0.8 million bundles of reed with a monetary value at sales prices of € 11.6 ± 2.8 million. Most of the thatchers (70 %) did not promote reed of regional origin to their customers due to insufficient availability in the first place and a lack in quality as second reason. The cultivation of reed in paludiculture may improve quantity and quality of domestic thatching reed. An area of 6000 ± 1600 ha with an average yield of 500 bundles per hectare would allow covering the current total demand of 3 million bundles of the German thatching reed market (Paper III).
Paludiculture on bogs: Sphagnum farming
Sphagnum farming provides an alternative to peatland degradation in two ways: Firstly, Sphagnum mosses can be cultivated as new agricultural crops on rewetted peatlands. Secondly, the produced Sphagnum biomass is a high-quality raw material suitable to replace peat in horticultural growing media (Paper V). Pilot trials have demonstrated the practical feasibility of establishing Sphagnum cultures on former bog grassland, cut-over bogs and mats floating on acidic waters bodies; Paper IV compares for the three types of production sites the specific procedures, costs and area potential in Germany. Water-based Sphagnum farming is not recommended for large-scale implementation due to highest establishment costs, major cultivation risks and limited area potential. For soil-based Sphagnum farming, the most important cost positions were Sphagnum shoots to set up pilots, investment for water management and regular weed management. Bog grassland has the highest area potential, i. e. 90,000 ha in NW Germany. Paper V assesses the profitability of Sphagnum farming on former bog grassland based on extrapolating five years of field experience data (establishment ņ management ņ harvest) to a total cultivation time of twenty years. Cultivating Sphagnum biomass as founder material for Sphagnum farming or restoration was profitable even in pessimistic scenarios with high costs, high bulk density and low yields. Selling Sphagnum for orchid production was economically viable in the case of medium to high yields with a low bulk density. Cost-covering prices for Sphagnum biomass substituting peat seem achievable if end consumers pay a surcharge of 10 % on the peat-free cultivated horticultural end-product. An area of 35,000 ha of Sphagnum farming suffices to meet the annual demand of the German growing media industry for slightly decomposed Sphagnum peat.
Framework conditions affecting feasibility of paludiculture
The relation of revenues from selling biomass to its production costs is an important piece of the paludiculture feasibility puzzle. Further aspects effecting the economic viability and competitiveness of paludiculture encompass the market demand, the availability of mature technology, legal restrictions, the eligibility for agricultural subsidies, a remuneration of external benefits and the opportunity costs of present farming activities (Paper I, V). Legal and policy regulations are of major importance for land use decisions on peatlands – both for keeping up drainage and for shifting to paludiculture.
Conclusion and Outlook
This thesis provides a first assessment of the costs and profitability of large-scale harvesting of reeds and Sphagnum farming based on real-life data. The paludicultural practices investigated may be a solution for a minor share of the more than 1 million ha of peatlands drained for agriculture in Germany. Future research should also address other biomass utilisation options and other crops. Large-scale pilots are required to improve technical maturity of procedures and machinery, gather reliable data to replace assumptions on costs and revenues and study long-term effects on economics and ecosystem services. The micro-economic perspective needs to be complemented by the societal perspective quantifying and monetising external effects of peatland restoration, paludiculture and drainage-based peatland use. There is a high need for intensified research, large-scale implementation and accelerated adaption of the policy and legal framework to develop paludiculture as an economically viable option for degraded peatlands.
Durch zymografische Untersuchungen und Massenspektrometrie (MS) wurden neun Proteasen vom Subtilisin-Typ im Wurzelexsudat von Nicotiana tabacum identifiziert. Ein Peptid-Antikörper wurde produziert, der die affinitätschromatografische Anreicherung einer tobacco root exuded subtilase (TREXS, XP_016501597.1) und zweier Isoformen sowie eines Peroxidase-artigen und eines SERK2-artigen Proteins ermöglichte. Basierend auf dem Subtilase-EST, der in der MS identifiziert worden war, wurde die full-length cDNA von TREXS durch 5'RACE und 3'RACE sequenziert und die gDNA kloniert. Das intronfreie TREXS-Gen codiert eine 756 Aminosäuren lange Subtilase mit Signalpeptid, I9-Inhibitordomäne, PA- und Fn-III-artiger Domäne. Der Nachweis von TREXS-mRNA in Blattgewebe zeigte, dass TREXS nicht exklusiv auf Wurzeln beschränkt ist. Phylogenetische Analysen zeigten, dass SDD1 die ähnlichste Subtilase aus A. thaliana zu TREXS ist. Mit großer Wahrscheinlichkeit ist TREXS jedoch nicht das Ortholog zu SDD1, weil zum einen strukturähnlichere Subtilasen zu SDD1 in Tabak existieren und zum anderen SDD1 an der Ausprägung von Stomata in der Blattepidermis beteiligt ist, TREXS hingegen im Wurzelexsudat vorkommt. Das
MS-identifizierte SERK2-artige Protein, das bei der Peptid-Antikörper-Affinitätschromatografie zusammen mit TREXS angereichert wurde, ist Kandidat als Substrat für TREXS, weil es potenziell durch IgG–TREXS–SERK2-like-Interaktion co-angereinigt wurde, die in-silico docking-Vorhersagen zwischen den modellierten Molekülen von TREXS und SERK2-like einen proteolytisch relevanten Bindungszustand vorhersagt und es strukturelle Ähnlichkeit mit LRP, einem bekannten Substrat der Subtilase P69C, hat. Die transiente Expression rekombinanter TREXS in N. benthamiana war möglich, zeigte sich jedoch kritisch gegenüber C- und N-terminal fusionierten Anhängen: Transiente Transformation mit TREXS oder TREXS:Strep-tag führte zu proteolytisch aktivem Protein. Jedoch war der C-terminale Strep-tag nicht funktionell. Längere C-terminale Anhänge und auch TREXS-Mutanten mit inaktiviertem katalytischen Zentrum erbrachten kein Genprodukt. C-terminales GFP erbrachte – auch bei mutiertem katalytischen Zentrum – stets nur den GFP-Anteil des Fusionsproteins.
The rapid anthropogenic climate change that is projected for the 21st century is predicted to have severe impacts on ecosystems and on the provision of ecosystem services. With respect to the longevity of trees, forestry in particular has to adapt now to future climate change. This requires profound multidisciplinary knowledge on the direct and indirect climate sensitivity of forest ecosystems on various spatial scales. Predictions on growth declines due to increasing drought exposition during climate change are widely recognized for European beech (Fagus sylvatica L.), which is the major forest tree in European temperate deciduous forests. However, research from other continents or other biomes has shown that winter climate change may also affect forest growth dynamics due to declining snow cover and increased soil cooling. So far, this winter cold sensitivity is largely unexplored in Europe. Thus, particularly focussing on forest growth dynamics and winter cold sensitivity, the goal of this PhD-project was to explore how climate sensitivity of forest ecosystems differs regionally. By doing so, the project aimed to deliver insights about possibilities and limits of upscaling regional knowledge to a global understanding of climate sensitivity. To achieve these goals, this PhD-project integrated five studies (Manuscripts 1–5) that investigated the climate sensitivity of biogeochemical cycles, plant species composition in forests, and forest growth dynamics across spatial scales. In particular, a large-scale gradient-design field experiment simulated the influence of winter climate change on forest ecosystems by snow cover and soil temperature manipulations (Manuscript 1). This study indicated that soil cooling and decreased root nutrient uptake may indirectly reduce growth of adult forest trees. Moreover, this study indicated uniform ecological sensitivity to soil temperature changes across sites along a large winter temperature gradient (ΔT = 4 K across 500 km), irrespective of the site-specific history of snow cover conditions, which motivates upscaling from local winter climate change studies to the regional scale. Although regional climate drives growth of adult forest trees, local factors, such as site-specific edaphic conditions, might control plants in the forest understory. This assumption was tested by mapping the forest understory composition along the same winter temperature gradient as introduced above (Manuscript 2). Across sites, this study found that edaphic conditions explained the spatial turnover in the forest understory composition more than climate, which might moderate direct climate change impacts on the forest understory composition. However, edaphic conditions, forest structure, and climate are linked by triangular interactions. Thus, climate change might still indirectly affect the forest vegetation dynamics. Moreover, a dendroecological study focussed on the same winter temperature gradient from central to cold-marginal beech populations as above in order to identify gradual changes in summer drought and winter cold sensitivity in tree growth (Manuscript 3). Towards the cold distribution margin, the influence of drought on tree growth gradually decreased, while growth reductions were increasingly related to winter cold due to harsher winter climate. By a large-scale dendroecological network study assessed the relationship of growth dynamics to climate and reproductive effort in beech forests across Europe (Manuscript 4). Indeed, this study found the general pattern across the distribution range of beech that high temperature controlled growth indirectly via resource allocation to reproduction. However, the strong, direct drought signal that could be generally detected from dry-marginal to central populations vanished towards the cold-marginal populations, where the more focussed study of Manuscript 3 identified a stronger relationship of tree growth to winter cold. Further extending the scope of this PhD-thesis to global scales, litter decomposition rates were assessed across biomes (Manuscript 5). This study found a robust relationship between climate and decomposition rates, but it also demonstrated large within-biome variability on a local scale. These local scale differences might depend on habitat conditions that, in turn, could be modulated by climate change, which calls for a better exploration of indirect climate sensitivity. In conclusion, this PhD-thesis highlighted that multidisciplinary research can advance the understanding of ecological interactions in forest ecosystems under changing climate scenarios. In this PhD-project, a winter climate change experiment, where site-representative target trees were selected by means of dendroecology, contributed to a mechanistic understanding of winter cold sensitivity in forest growth dynamics. Dendroecological investigations then put the findings in a broader temporal and spatial context by describing local climate sensitivity of tree growth on different spatial scales. This thesis further shows that global generalizations about the relationship of climate and ecological processes in ecosystem models have to be critically reviewed for the need of local and regional adjustment because these processes might experience considerable regional- or local-scale variation. However, this thesis reports uniform sensitivity of ecological processes to altered winter soil temperature regimes across a large winter temperature gradient. Thus, upscaling from insights of previous winter climate change experiments to regional scales is encouraged.
Abstract
Higher biodiversity can stabilize the productivity and functioning of grassland communities when subjected to extreme climatic events. The positive biodiversity–stability relationship emerges via increased resistance and/or recovery to these events. However, invader presence might disrupt this diversity–stability relationship by altering biotic interactions. Investigating such disruptions is important given that invasion by non‐native species and extreme climatic events are expected to increase in the future due to anthropogenic pressure. Here we present one of the first multisite invader × biodiversity × drought manipulation experiment to examine combined effects of biodiversity and invasion on drought resistance and recovery at three semi‐natural grassland sites across Europe. The stability of biomass production to an extreme drought manipulation (100% rainfall reduction; BE: 88 days, BG: 85 days, DE: 76 days) was quantified in field mesocosms with a richness gradient of 1, 3, and 6 species and three invasion treatments (no invader, Lupinus polyphyllus, Senecio inaequidens). Our results suggest that biodiversity stabilized community productivity by increasing the ability of native species to recover from extreme drought events. However, invader presence turned the positive and stabilizing effects of diversity on native species recovery into a neutral relationship. This effect was independent of the two invader's own capacity to recover from an extreme drought event. In summary, we found that invader presence may disrupt how native community interactions lead to stability of ecosystems in response to extreme climatic events. Consequently, the interaction of three global change drivers, climate extremes, diversity decline, and invasive species, may exacerbate their effects on ecosystem functioning.
Understanding the effects of temperature and moisture on radial growth is vital for assessing the impacts of climate change on carbon and water cycles. However, studies observing growth at sub-daily temporal scales remain scarce.
We analysed sub-daily growth dynamics and its climatic drivers recorded by point dendrometers for 35 trees of three temperate broadleaved species during the years 2015–2020. We isolated irreversible growth driven by cambial activity from the dendrometer records. Next, we compared the intra-annual growth patterns among species and delimited their climatic optima.
The growth of all species peaked at air temperatures between 12 and 16°C and vapour pressure deficit (VPD) below 0.1 kPa. Acer pseudoplatanus and Fagus sylvatica, both diffuse-porous, sustained growth under suboptimal VPD. Ring-porous Quercus robur experienced a steep decline of growth rates with reduced air humidity. This resulted in multiple irregular growth peaks of Q. robur during the year. By contrast, the growth patterns of the diffuse-porous species were always right-skewed unimodal with a peak in June between day of the year 150–170.
Intra-annual growth patterns are shaped more by VPD than temperature. The different sensitivity of radial growth to VPD is responsible for unimodal growth patterns in both diffuse-porous species and multimodal growth pattern in Q. robur.
Significant alterations of cambial activity might be expected due to climate warming, leading to growing season extension and higher growth rates especially in cold-limited forests. However, assessment of climate-change-driven trends in intra-annual wood formation suffers from the lack of direct observations with a timespan exceeding a few years. We used the Vaganov-Shashkin process-based model to: (i) simulate daily resolved numbers of cambial and differentiating cells; and (ii) develop chronologies of the onset and termination of specific phases of cambial phenology during 1961–2017. We also determined the dominant climatic factor limiting cambial activity for each day. To asses intra-annual model validity, we used 8 years of direct xylogenesis monitoring from the treeline region of the Krkonoše Mts. (Czechia). The model exhibits high validity in case of spring phenological phases and a seasonal dynamics of tracheid production, but its precision declines for estimates of autumn phenological phases and growing season duration. The simulations reveal an increasing trend in the number of tracheids produced by cambium each year by 0.42 cells/year. Spring phenological phases (onset of cambial cell growth and tracheid enlargement) show significant shifts toward earlier occurrence in the year (for 0.28–0.34 days/year). In addition, there is a significant increase in simulated growth rates during entire growing season associated with the intra-annual redistribution of the dominant climatic controls over cambial activity. Results suggest that higher growth rates at treeline are driven by (i) temperature-stimulated intensification of spring cambial kinetics, and (ii) decoupling of summer growth rates from the limiting effect of low summer temperature due to higher frequency of climatically optimal days. Our results highlight that the cambial kinetics stimulation by increasing spring and summer temperatures and shifting spring phenology determine the recent growth trends of treeline ecosystems. Redistribution of individual climatic factors controlling cambial activity during the growing season questions the temporal stability of climatic signal of cold forest chronologies under ongoing climate change.
Changes in the environment will alter the growth rate of trees and forests. Different disciplines assess such growth rates differently, for example, with tree-ring width data, forest inventories or with carbon-flux data from eddy covariance towers. Such data is used to quantify forests biomass increment, forest’s carbon sequestration or to reconstruct environmental variables before instrumental records. However, raw measurement data is typically not considered to be representative for the average growth rate of trees or forests. Depending on the research question, the effects of certain environmental variables or effects of tree and forest structure have to be removed first. It can be challenging to define and quantify a growth trend that can answer a specific research question because trees and forests grow and respond to environmental change in multiple ways simultaneously, for example, with altered radial increment, height growth, and stand density. Further challenges pose time-lagged feedback loops, for example, between height and radial increment or between stand density and radial increment. Generally, different environments will lead to different tree and forest structures, but because of tree’s longevity this adaptation to the new environment will take decades or even centuries. Consequently, there can be an offset between the present forest structure and what we term the potential natural forest (PNF): Similar to the potential natural vegetation (PNV), the PNF represents that forest that would develop under the current environmental conditions in the absence of human intervention. Because growth rates are affected by the tree and forest structure, growth-trend estimates will differ between the present and the potential forest. Consequently, if the legacy effects of the past are not of interest, the PNF is the theoretical baseline to correct and estimate growth trends.
Individual white spruce (Picea glauca (Moench) Voss) growth limitations at treelines in Alaska
(2018)
White spruce (Picea glauca (Moench) Voss) is one of the most common conifers in Alaska and various treelines mark the species distribution range. Because treelines positions are driven by climate and because climate change is estimated to be strongest in northern latitudes, treeline shifts appear likely. However, species range shifts depend on various species parameters, probably most importantly on phenotypic plasticity, genetic adaptation
and dispersal. Due to their long generation cycles and their immobility, trees evolved to endure a wide variety of climatic conditions. In most locations, interannual climate variability is larger than the expected climate change until 2100. Thus treeline position is typically thought of as the integrated effect of multiple years and to lag behind gradual climate change by several decades. Past dendrochronological studies revealed that growth of white spruce in Alaska can be limited by several climatic variables, in particular water stress and low temperatures. Depending on how the intensity of climate warming, this could result in a leading range edge at treelines limited by low temperatures and trailing treelines where soil moisture is or becomes most limiting. Climate-growth correlations are the dendrochronological version of reaction norms and describe the relationship between an environmental variable and traits like tree-ring parameters (e.g. ring width, wood density, wood anatomy). These correlations can be used to explore potential effects of climate change on a target species. However, it is known that individuals differ with respect to multiple variables like size, age, microsite conditions, competition status or their genome. Such individual differences could be important because they can modulate climate-growth relationships and consequently also range shifts and growth trends. Removing individual differences by averaging tree-ring parameters of many individuals into site chronologies could be an oversimplification that might bias estimates of future white spruce performance. Population dynamics that emerge from the interactions of individuals (e.g. competition) and the range of reactions to the same environmental drivers can only be studied via individual tree analyses. Consequently, this thesis focuses on factors that might alter individual white spruce’ climate sensitivity and methods to assess such effects. In particular, the research articles included explore three topics:
1. First, clones were identified via microsatellites and high-frequency climate signals of clones were compared to that of non-clonal individuals. Clonal and non-clonal individuals showed similar high-frequency climate signals which allows to use clonal and non-clonal individuals to construct mean site chronologies. However, clones were more frequently found under the harsher environmental conditions at the treelines which could be of interest for the species survival strategy at alpine treelines and is further explored in the associated RESPONSE project A5 by David Würth.
2. In the second article, methods for the exploration and visualization of individual-tree differences in climate sensitivity are described. These methods represent a toolbox to explore causes for the variety of different climate sensitivities found in individual
trees at the same site. Though, overlaying gradients of multiple factors like temperature, tree density and/or tree height can make it difficult to attribute a single cause to the range of reaction norms (climate growth correlations).
3. Lastly, the third article attempts to disentangle the effect of age and size on climate-growth correlations. Multiple past studies found that trees of different Ages responded differently to climatic drivers. In contrast, other studies found that trees do not age like many other organisms. Age and size of a trees are roughly correlated, though there are large differences in the growth rate of trees, which can lead to smaller trees that are older than taller trees. Consequently, age is an imperfect Proxy for size and in contrast to age, size has been shown to affect wood anatomy and thus tree physiology. The article compares two tree-age methods and one tree-size method based on cumulative ring width. In line with previous research on aging and Wood anatomy, tree size appeared to be the best predictor to explain ontogenetic changes in white spruce’ climate sensitivity. In particular, tallest trees exhibited strongest correlations with water stress in previous year July. In conclusion, this thesis is about factors that can alter climate-growth relationships (reaction norms) of white spruce. The results emphasize that interactions between climate variables and other factors like tree size or competition status are important for estimates of future tree growth and potential treeline shifts. In line with previous studies on white spruce in Alaska, the results of this thesis underline the importance of water stress for white spruce.
Individuals that are taller and that have more competitors for water appear to be most susceptible to the potentially drier future climate in Alaska. While tree ring based growth trends estimates of white spruce are difficult to derive due to multiple overlaying low frequency (>10 years) signals, all investigated treeline sites showed highest growth at the treeline edge. This could indicate expanding range edges. However, a potential bottleneck for treeline advances and retreats could be seedling establishment, which should be explored in more detail in the future.
A massive shift in agricultural practices over the past decades, to support exceptionally high yields and productivities involving intensive agriculture, have led to unsustainable agriculture practices across the globe. Sustenance of such high yields and productivities demand high use of organic and industrial fertilizers. This acts as a negative pressure on the environment. Excessive use of fertilizers leads to nutrient surplus in the fields, which, as a part of catchment runoff, flows into the water bodies as diffuse pollution. These nutrients through rivers are eventually passed into seas. High nutrients ending up into water bodies cause eutrophication. The situation is worsened when such unsustainable agricultural activities are carried out on drained peatlands. As a result, the nutrients that were not part of the nutrient cycle in the landscape for years begin to leach out due to mineralization of peatlands, thereby putting an additional load of nutrients on the environment, that was already under the negative impact of nutrient surplus. In view of the above, a small lowland catchment of the Ryck river in northeast Germany was assessed for its nitrogen losses from agricultural lands through empirical modelling. Initial empirical modelling resulted in an average annual total nitrogen loss of 14.7 kg ha−1 year−1. After a comparative analysis of these results with procured data, the empirical equation was modified to suit the catchment, yielding more accurate results. The study showed that 75.6% of peatlands in the catchment are under agricultural use. Subsequently, a proposal was made for potential wetland buffer zones in the Ryck catchment. Altogether, 13 peatland sites across 8 sub-catchments were recommended for mitigation of high nutrient runoff. In the end, nutrient efficiency of proposed WBZs in one of the sub-catchments of Ryck has been discussed. The results show that (i) the modified empirical equation can act as a key tool in application-based future strategies for nitrogen reduction in the Ryck catchment, (ii) restoration of peatlands and introduction of WBZs can help in mitigating the nutrient runoff for improved water quality of Ryck, and subsequently (ii) contribute to efficient reduction of riverine loads of nutrients into the Baltic Sea.
Water Consumption of Agriculture and Natural Ecosystems along the Ili River in China and Kazakhstan
(2017)
Pollen productivity estimates (PPEs) are a key parameter for quantitative land-cover reconstructions from pollen data. PPEs are commonly estimated using modern pollen-vegetation data sets and the extended R-value (ERV) model. Prominent discrepancies in the existing studies question the reliability of the approach. We here propose an implementation of the ERV model in the R environment for statistical computing, which allows for simplified application and testing. Using simulated pollen-vegetation data sets, we explore sensitivity of ERV application to (1) number of sites, (2) vegetation structure, (3) basin size, (4) noise in the data, and (5) dispersal model selection. The simulations show that noise in the (pollen) data and dispersal model selection are critical factors in ERV application. Pollen count errors imply prominent PPE errors mainly for taxa with low counts, usually low pollen producers. Applied with an unsuited dispersal model, ERV tends to produce wrong PPEs for additional taxa. In a comparison of the still widely applied Prentice model and a Lagrangian stochastic model (LSM), errors are highest for taxa with high and low fall speed of pollen. The errors reflect the too high influence of fall speed in the Prentice model. ERV studies often use local scale pollen data from for example, moss polsters. Describing pollen dispersal on his local scale is particularly complex due to a range of disturbing factors, including differential release height. Considering the importance of the dispersal model in the approach, and the very large uncertainties in dispersal on short distance, we advise to carry out ERV studies with pollen data from open areas or basins that lack local pollen deposition of the taxa of interest.
Quantitative reconstructions of past vegetation cover commonly require pollen productivity estimates (PPEs). PPEs are calibrated in extensive and rather cumbersome surface-sample studies, and are so far only available for selected regions. Moreover, it may be questioned whether present-day pollen-landcover relationships are valid for palaeo-situations. We here introduce the ROPES approach that simultaneously derives PPEs and mean plant abundances from single pollen records. ROPES requires pollen counts and pollen accumulation rates (PARs, grains cm−2 year−1). Pollen counts are used to reconstruct plant abundances following the REVEALS approach. The principle of ROPES is that changes in plant abundance are linearly represented in observed PAR values. For example, if the PAR of pine doubles, so should the REVEALS reconstructed abundance of pine. Consequently, if a REVEALS reconstruction is “correct” (i.e., “correct” PPEs are used) the ratio “PAR over REVEALS” is constant for each taxon along all samples of a record. With incorrect PPEs, the ratio will instead vary. ROPES starts from random (likely incorrect) PPEs, but then adjusts them using an optimization algorithm with the aim to minimize variation in the “PAR over REVEALS” ratio across the record. ROPES thus simultaneously calculates mean plant abundances and PPEs. We illustrate the approach with test applications on nine synthetic pollen records. The results show that good performance of ROPES requires data sets with high underlying variation, many samples and low noise in the PAR data. ROPES can deliver first landcover reconstructions in regions for which PPEs are not yet available. The PPEs provided by ROPES may then allow for further REVEALS-based reconstructions. Similarly, ROPES can provide insight in pollen productivity during distinct periods of the past such as the Lateglacial. We see a potential to study spatial and temporal variation in pollen productivity for example in relation to site parameters, climate and land use. It may even be possible to detect expansion of non-pollen producing areas in a landscape. Overall, ROPES will help produce more accurate landcover reconstructions and expand reconstructions into new study regions and non-analog situations of the past. ROPES is available within the R package DISQOVER.
Lake‐level reconstructions are a key tool in hydro‐climate reconstructions, based on the assumption that lake‐level changes primarily reflect climatic changes. Although it is known that land cover changes can affect evapotranspiration and groundwater formation, this factor commonly receives little attention in the interpretation of past lake‐level changes. To address this issue in more detail, we explore the effects of land cover change on Holocene lake‐level fluctuations in Lake Tiefer See in the lowlands of northeastern Germany. We reconstruct lake‐level changes based on the analysis of 28 sediment records from different water depths and from the shore. We compare the results with land cover changes inferred from pollen data. We also apply hydrological modelling to quantify effects of land cover change on evapotranspiration and the lake level. Our reconstruction shows an overall lake‐level amplitude of about 10 m during the Holocene, with the highest fluctuations during the Early and Late Holocene. Only smaller fluctuations during the Middle Holocene can unambiguously be attributed to climatic fluctuations because the land cover was stable during that period. Fluctuations during the Early and Late Holocene are at least partly related to changes in natural and anthropogenic land cover. For several intervals the reconstructed lake‐level changes agree well with variations in modelled groundwater recharge inferred from land cover changes. In general, the observed amplitudes of lake‐level fluctuations are larger than expected from climatic changes alone and thus underline that land cover changes in lake catchments must be considered in climatic interpretations of past lake‐level fluctuations.
The pollen record is a powerful proxy to reconstruct past terrestrial vegetation, but quantifying plant abundances is strongly limited because plants produce pollen in different amounts and pollen is dispersed differently. Further complications arise from the use of percentage data. Finally, a pollen grain deposited at a site may have arrived from proximate or distant sources, which implies that a single pollen sample may reflect very different vegetation scenarios. Present thesis suggests improving quantitative reconstructions of past vegetation by refined calibration of the pollen-vegetation relationship (paper I) and application of the downscaling approach (papers II-IV). Paper I primarily addresses the questions of pollen production and dispersal by calibrating the pollen-vegetation relationship. Data analysis employs the common extended R-value (ERV) approach and a new data-model comparison method, which appears more suitable than the ERV approach. For the first time PPEs have been calculated using three contrasting pollen dispersal options, including a Lagrangian stochastic (LS) model. The study proves that the underlying pollen dispersal model is a crucial parameter in PPE calculations and that the calculations with the LS model produce more reliable and realistic PPEs. Papers II to IV address quantitative reconstructions of past vegetation. Using the newly developed downscaling approach, the three studies explore fine scaled vegetation patterns in NE Germany during the Late Glacial and early Holocene. The main assumption of the downscaling approach is that the present day pattern of abiotic site conditions (e.g. the pattern of soil substrates) existed, at least to a large extend, also during the study periods. The basic principle of the approach is to test, whether pollen deposition in sites across a landscape is correlated to that site pattern. The first application of the approach (paper II) has shown a close correlation between PINUS pollen percentages and the distance weighted abundance of sandy soils and between BETULA pollen percentages and the distance weighted abundance of morainic till during the Allerød period, indicating that pine and birch formed rather separate stands on either substrate type. The cooling of the Younger Dryas induced significant changes in the vegetation of NE Germany. By combining pollen percentage and pollen accumulation rate data paper III identified a sharp vegetation boundary between the Mecklenburg and Brandenburg area at about 53 °N. The downscaling approach, here used with pollen accumulation rate data, suggests that in the North small tree stands could only exist in sheltered positions. The sharp vegetation boundary is possibly related to a climatic gradient and the southern permafrost limit, which itself may result from the formation of sea ice on the North Atlantic north of 53°N during winter. The warming of the Holocene again allowed the expansion of forests in the study area. Paper IV uses high resolution pollen (accumulation rate) data to study the successive forest formation, including the immigration of hazel, and explores vegetation patterns and composition during these successive stages using the extended downscaling approach. This approach addresses the problems related to differential pollen production, dispersal and the use of percentage data by applying simulations. It reveals that initially pine and birch established, as during the Allerød period, in largely separate stands with pine dominating on sandy soils and birch dominating on fine grained soils. Also open rich vegetation persisted, possibly due to seasonal drought, mainly on fine grained soils. Hazel later mainly spread on sites that received additional wetness from ground or surface water; it did not enter pine dominated forests on well drained sandy soils. Overall, the early Holocene vegetation of the study area was sharply differentiated by soil humidity and fertility. To conclude, present thesis has revealed vegetation patterns and species site preferences in NE Germany during three periods of the Lateglacial and early Holocene. The results improve our understanding of vegetation history in northern Central Europe, specifically for periods of rapid climate change. The approaches applied are flexible with respect to the type and quality of pollen data used and may be implemented using standard software packages.
Biological invasions pose global threats to biodiversity and ecosystem functions. Invasive species often display a high degree of phenotypic plasticity, enabling them to adapt to new environments. This study examines plasticity to water stress in native and invasive Opuntia ficus-indica populations, a prevalent invader in arid and semi-arid ecosystems. Through controlled greenhouse experiments, we evaluated three native and nine invasive populations. While all plants survived the dry treatment, natives exhibited lower plasticity to high water availability with only a 36% aboveground biomass increase compared to the invasives with a greater increase of 94%. In terms of belowground biomass, there was no significant response to increased water availability for native populations, but plants from the invasive populations showed a 75% increase from the dry to the wet treatment. Enhanced phenotypic plasticity observed in invasive populations of O. ficus-indica is likely a significant driver of their success and invasiveness across different regions, particularly with a clear environmental preference towards less arid conditions. Climate change is expected to amplify the invasion success due to the expansion of arid areas and desertification. Opuntia ficus-indica adapts to diverse environments, survives dry spells, and grows rapidly in times of high-water supply, making it a candidate for increased invasion potential with climate change.
Ecological Impacts and Phenotypic Plasticity of a Global Invasive Cactus, Opuntia ficus-indica
(2023)
Biological invasions by non-native species pose one of the major threats to biodiversity, the way ecosystems function, and the well-being of humans. These invasions can occur through various means, including accidental or intentional introductions by humans, natural dispersal, and climate change. Non-native species can harm the native species and ecosystems, by homogenizing plant communities, competing for resources, changing how the ecosystem operates, and eventually causing native species to go extinct. Even though not all non-native species become invasive, changes in climate and ecosystems can cause the successful establishment and spread of non-native species. Despite the advancements in our understanding of biological invasions in recent years, research has been biased towards temperate regions, whereas arid and semi-arid regions that are highly impacted by climate change are underrepresented. Thus, particularly focusing on the impacts of biological invasions in subtropical arid and semi-arid regions, the goal of this PhD project was to explore the effects of an invasive cactus on the local native communities and investigate the mechanisms of its successful invasion. Certain species are found to take advantage of the ever-drying climates in the arid/ semi-arid regions of the world. Opuntia ficus-indica, native to Mexico, is an exceptionally successful drought-tolerant invasive cactus that successfully grows in these regions. O. ficus-indica, a most widespread invasive cactus, is considered an ecosystem engineer as it modifies the habitats of indigenous plant species and dependent animals. This project aimed to identify the ecological impacts of O. ficus-indica in the highlands of Eritrea, the competitive potential of O. ficus-indica and the plastic changes that enabled its spread and invasion (Chapters I-III). For this purpose, field observations and common garden experiments were carried out throughout the project.
We investigated the effects of Opuntia ficus-indica on the spatial diversity of native plant communities (Chapter I), its competitive ability against native species (Chapter II) and the phenotypic plasticity of O. ficus-indica (Chapter III). To investigate the main ecological effects of O. ficus-indica on the native community, field data was collected from the highlands of Eritrea and comparisons were made between O. ficus-indica invaded and noninvaded areas (Chapter I). The study aimed to understand the effects of O. ficus-indica by examining species composition, richness, and diversity across vegetation layers and revealed that O. ficus-indica homogenises the species composition of the native ecosystem. This provides evidence that the presence of O. ficus-indica reduces landscape-level heterogeneity or spatial diversity. However, O. ficus-indica did not influence the species richness and diversity of the local communities. The mechanisms of the successful homogenisation of the local communities by O. ficus-indica were attributed to the potential competitive abilities of O. ficus-indica against the native species, and the plastic and adaptive traits it developed in the non-native ranges. The first assumption was tested by setting up a common garden competition experiment between two native Eritrean species, Ricinus communis and Solanum marginatum (Chapter II). The experiment used two water availability treatments, wet and dry, and categorized plants into intraspecific (native or invasive only) and interspecific (native and invasive) competition. The study evaluated the impacts by comparing the growth of O. ficus-indica alone to the growth alongside native species which revealed the weak competitive potential of O. ficus-indica. However, O. ficus-indica was observed to outgrow the native species in several folds which can be attributed to its successful invasion. The second assumption of the successful spread of O. ficus-indica was attributed to the phenotypic plastic traits adapted by O. ficus-indica in the non-native ranges (Chapter III). The phenotypic plasticity of O. ficus-indica was assessed by exposing it to water stress across dry and wet environments. The species were cultivated from a diverse set of 12 populations, encompassing its native range in Mexico with three cultivars and nonnative ranges in Africa (Algeria, Eritrea, Ethiopia), the island of Madeira off the coast of Africa, and in Europe, Italy with two cultivars and in Portugal from three sites. In Mexico and Italy, we collected various cultivars to ensure a wide representation of genotypes. We found that the species originating from the native range of O. ficus-indica exhibited lower plasticity to conditions of elevated water availability. Furthermore, a trial gradient experiment on O. ficus-indica was conducted to determine the appropriate watering levels for the species and the experiment revealed not only the species' capacity to endure a lack of water for nine months but also its ability to withstand prolonged waterlogged conditions.
This thesis illustrates the fact that invasive species are a major threat to biodiversity and ecosystem functioning worldwide, especially in rarely studied regions with dry climates and limited resources. How can invasive plants spread and cause negative impacts on native ecosystems (Chapter I), despite their weak competitive abilities (Chapter II)? This thesis explored these questions by examining the case of O. ficus-indica, an invasive species in arid/ semi-arid climates (Chapter I). It showed that O. ficus-indica has a high growth potential that allows it to overcome resource limitations, that its growth is not affected by competition from native species (Chapter II), and that it exhibits adaptive plasticity that enhances its invasion success in different environments (Chapter III). This thesis revealed the complex mechanisms and consequences of biological invasions in dry climates and contributes to the understanding of invasive species. It also suggests that more research is needed in understudied regions to assess the impacts of O. ficus-indica or invasive species in general on native biodiversity and ecosystem services and to identify the factors that influence the competitive and adaptive potentials.
High resolution palaeo-ecological analysis of an Arctic ice-wedge polygon mire (Kytalyk, NE Siberia)
(2020)
Ice-wedge polygon mires are typical features of the Artic and therefore especially affected by climate change. They show, caused by soil-ice action, an amazing regular polygonal structure in meter dimension of higher and lower elevated dry and wet parts, and to this microtopography adapted vegetation. Polygon mires play, analogous to other mires, an important role in carbon sequestration, water balance, wildlife habitat and archive value with local to global significance. By storing enormous amounts of the global soil carbon polygon mires are crucial for our climate. Despite this relevance by covering large areas, polygon mires are comparatively poorly scientifically investigated and understood. It is still difficult to make forecasts on how polygon mires will develop under a changing climate in the Arctic, especially because internal factors and self-organisation complicate the understanding of their functioning. Therefore the investigation of modern and past polygon mires is necessary. This dissertation presents high resolution palaeo-ecological studies of a Northeast Siberian model polygon: ice-wedge polygon Lhc11 located in the Indigirka Lowlands at the scientific station Kytalyk. During field work in July 2011 the study site, covering an area of 26 × 21 m was divided into 546 plots, in which vegetation composition and microtopographical elevation characteristics were assessed and surface samples were collected. For palaeoecological analysis a 105.5 cm long peat section was excavated from the same site. Cluster analysis revealed five plant communities, which are clearly separated with respect to ground surface height, frost surface height and coverages of open water and vegetation, confirming the pattern already identified in other studies of Arctic ice-wedge polygons. The correct recognition of these patterns is crucial in palaeoecological studies in order to reconstruct landscape elements and their dynamics. This recognition requires insight in the short-distance relationships between surface elevation/wetness, vegetation and pollen deposition. The applied pollen-vegetation reference study shows that in general modern pollen deposition in polygon Lhc11 corresponds well with actual vegetation, allowing accurate reconstruction of local site conditions from fossil palynomorph sequences, including the reconstruction of the dynamics of closely spaced microtopographical elements. We conducted an evaluation of common palaeo proxies to compare their wetness reconstruction potential. The analysed proxies macrofossils, pollen, testate amoebae, geochemistry and sediment properties show similar wetness trends. Macrofossils provided the most detailed wetness reconstruction, spanning several wetness classes from very dry to wet, because they could be identified to genus or species level. However, as the proxies sometimes show contradictory results, a multi-proxy approach is preferable over a single proxy interpretation as it allows the reconstruction of environmental development in a broader palaeoecological context. For a better understanding of polygon dynamics and former greenhouse gas fluxes, more detailed and better quantified palaeo-microtopographical information is required. Therefore we developed a new transfer approach for modelling past Ground Surface Heights (GSH) in polygon mires from plant fossils. Based on the composition of modern vegetation we constructed two sets of potential fossil types (plant macrofossils and pollen), an extensive and a more restricted one. We applied Canonical Correspondence Analysis to model the relationships between potential fossil types and measured GSH. Both models show a strong relationship between modelled and measured GSH values and a high accuracy in prediction. Finally, we used the models to predict GSH values for Holocene peat samples. We found a fair correspondence with expert-based multi-proxy reconstruction of wetness conditions, even though only a minor part of the encountered fossils were represented in the GSH models, illustrating the robustness of the approach. The method can thus be used to reconstruct palaeoenvironmental conditions in a more objective way and can serve as a template for further palaeoecological studies. The 4000 years lasting history of the Lhc11 polygon site started with the establishment of a low-centre polygon in a drained thermokarst lake basin. Polygon Lhc11 formed part of a low-centre polygon for about 2000 years, experiencing enormous environmental influences discernible by incidence of silt, charred detritus, change of fossils composition and strongly declined peat accumulation rates and finally developed into a mature and degradation stage, into a low-high-centre polygon, currently characterized by high elevation differences. In the context of less studied but large-scale polygon mire occurrence, the high-resolution analysed ice-wedge polygon Lhc11 delivers insights into state and dynamics of a representative Siberian polygon site, in terms of modern and past vegetation and elevation characteristics. Furthermore the present study provides facilities for palaeoecological polygon studies including a new quantitative elevation modelling approach and provides valuable datasets for future research, e.g. greenhouse gas emissions and therefore contributes to a better understanding of these climate relevant ecosystems.
The globally threatened Aquatic Warbler (Acrocephalus paludicola) is the rarest migratory songbird in Europe. Before the population declined dramatically after 1960, the Aquatic Warbler was a common species in European mires and river flood¬plains. Today, the global population is estimated to count 27 600 individuals, of which approx. 90 % are concentrated in only three countries during the breeding season: Belarus, Poland and Ukraine. Despite numerous conservation efforts mainly under¬taken in European countries, the population decline has not been stopped. Although the Aquatic Warbler is considered a “European” bird species because of the location of its breeding grounds, it spends up to six months on migration and on the wintering grounds on the African continent. A comprehensive species conservation strategy must therefore include the preservation of African resting and wintering grounds. This study analyses the ecol¬ogy of Aquatic Warbler in its wintering grounds using the example of the Djoudj National Park area in north-western Senegal. The study aims, first, to close knowledge gaps regarding the behaviour and the habitat requirements of Aquatic Warblers during their stay on the wintering grounds to provide a scientific base for long-term species conservation management; second, to assess the importance of the wintering site in the Djoudj area is in a global perspec¬tive; and third, to identify threats to the Djoudj area as a suitable Aquatic Warbler habitat. In a fourth step, science-based management recommendations are formu¬lated to support the ongoing practical conservation work of the Djoudj National Park administration with regard to the Aquatic Warbler. The main outcomes of the study are the following: (I) We confirmed the presence of Aquatic Warblers in the Djoudj area between mid-December and the end of March. (II) The connection between the wintering ground “Djoudj National Park area” and the breeding ground “Biebrza valley” (eastern Poland) was confirmed by the resighting of a ringed Aquatic Warbler individual. (III) The remiges moult of the species was observed under natural conditions for the first time. We confirmed that the Aquatic Warbler undergoes a complete moult on its wintering grounds, following the typical sequence of passerine moult. (IV) Aquatic Warblers occur in shallowly inundated vegetation with dominant stands of Oryza longistaminata, Eleocharis mutata, Scirpus maritimus, Scirpus litto¬ralis and Sporobulus robustus interspersed with small (1–2 m²) areas of open water. The afore mentioned herbaceous species form a homogenous wetland vegetation of approximately 0.6–1.5 m height, with a coverage of 80 % to 100 %. Wild rice (Oryza longistaminata) may provide the most suitable habitat conditions as suggested by the very high density of Aquatic Warblers at sites dominated by this species. Preferential habitat may include a few solitary trees, but open woodland or scrublands are unsuit-able for Aquatic Warbler. Pure stands of cattail (Typha australis) are avoided. The water level in the habitat areas varies between 0 (humid soil) and 40 cm above the ground. Constant inundation seems to be essential, as Aquatic Warblers were never encountered in dry parts of the study area. All known Aquatic Warbler habitats in the study area are influenced by brackish or salty water. (V) During winter Aquatic Warblers use a home range of 3.9 ha (± 1.9) in aver¬age, which is shared with other individuals and species. No territorial behaviour was observed in the winter quarters. (VI) The vegetation and land cover map prepared distinguishes six classes of her¬baceous vegetation and five general land cover classes. (VII) There are 4 729 ha of potential Aquatic Warbler habitat within the study area. (VIII) We estimate the density of the Aquatic Warbler population in the study area to range between 0 and 2.26 individuals per hectare with a total population size of 776 individuals, or 260–4 057 individuals in a 95 % credibility interval. Hence we conclude that 1.1–3.8 % (0.37–19.8 % within the 95 % credibility interval) of the global Aquatic Warbler wintering population are found in the Djoudj area. (VIII) The Aquatic Warbler habitats in the Djoudj area are affected by the inun¬dation regime, water circulation, changes in salinity, grazing, the spread of cattail (Typha australis), the encrustation of vegetation, the protection status of passerine migrator habitats and the expansion of rice cultivation a. Our management proposals for the preservation of existing and the development of new Aquatic Warbler habitats were formulated and incorporated into the Management Plan of the Djoudj National Park 2014–2018.
Peatlands in the European Union are largely drained for agriculture and emit 25% of the total agricultural greenhouse gas emissions. Drainage-based peatland use has also negative impacts on water quality, drinking water provision and biodiversity. Consequently, key EU environmental policy objectives include the rewetting of all drained peatlands as an essential nature-based solution. Rewetting of peatlands can be combined with site-adapted land use, so-called paludiculture. Paludiculture produces biomass from wet and rewetted peatlands under conditions that maintain the peat body, facilitate peat accumulation and can provide many of the ecosystem services associated with natural, undrained peatlands. The biomass can be used for a wide range of traditional and innovative food, feed, fibre and fuel products. Based on examples in Germany, we have analysed emerging paludiculture options for temperate Europe with respect to greenhouse gas fluxes, biodiversity and indicative business economics. Best estimates of site emission factors vary between 0 and 8 t CO2eq ha−1 y−1. Suitability maps for four peatland-rich federal states (76% of total German peatland area) indicate that most of the drained, agriculturally used peatland area could be used for paludiculture, about one-third of the fen area for any paludiculture type. Fen-specific biodiversity benefits from rewetting and paludiculture, if compared to the drained state. Under favourable conditions, paludiculture can be economically viable, but costs and revenues vary considerably. Key recommendations for large-scale implementation are providing planning security by paludiculture spatial planning, establishing best practice sites and strengthening research into crops, water tables and management options.
To understand the resilience of African savannas to global change, quantitative information on the long-term dynamics of vegetation is required. Past dynamics can be reconstructed with the REVEALS model, which requires pollen productivity estimates (PPE) that are calibrated using surface pollen and vegetation data. Here we calculated PPE values for five savanna taxa using the extended R-value (ERV) model and two pollen dispersal options: the Gaussian plume model (GPM) and the Lagrangian stochastic model (LSM). The ERV calculations failed to produce a reliable PPE for Poaceae. We therefore used Combretaceae as the reference taxon – although values obtained with Poaceae as the reference taxon are presented in the supplement. Our results indicate that Combretaceae is the taxon with the highest pollen productivity and Grewia the taxon with the lowest productivity. Acacia and Dichrostachys are intermediate pollen producers. We find no clear indication of whether the GPM PPEs or the LSM PPEs are more realistic, but the differences between these values confirmed that the pollen fall speed has a greater effect in the modelling of GPM than in the LSM. We also applied REVEALS to the pollen record of Lake Otjikoto (northern Namibia) and obtained the first quantitative reconstruction of the last 130 years of vegetation history in the region. Cover estimates for Poaceae indicate the predominance of a semi-open landscape throughout the 20th century, while cover values below 50% since the 21st century correspond to a thick savanna. This change in grass cover is associated with the spread of Vachellia, Senegalia and Grewia reflecting an encroached state.
Anorganische Stickstoffformen, wie Nitrat oder Nitrit, dienen in Pflanzen als Quelle für die enzymatische Bildung des Signalmoleküls Stickstoffmonoxid (NO). In Wurzeln wird NO an der apoplastischen Seite der Plasmamembran (PM) durch die Nitrit:NO-Reduktase (NI-NOR) gebildet, die für Nitrit eine hohe Affinität aufweist. Die dafür benötigten Elektronen stammen aus der Oxidation von Succinat, wobei in vitro auch Elektronen aus reduziertem Cytochrom c akzeptiert werden. Zur fluoreszenzmikroskopischen Lokalisierung der NI-NOR (in planta) innerhalb der Tabakwurzeln (Nicotiana tabacum cv. Samsun) wurden DAF-Farbstoffe (Diaminofluoresceine) eingesetzt, die sich jedoch aufgrund zahlreicher NO-unspezifische Reaktionen zum Nachweis der NI-NOR unter den gegebenen experimentellen Bedingungen nicht eigneten. Die Bestimmung und Quantifizierung der NI-NOR-Aktivität in vitro, an isolierten PM-Vesikeln, solubilisierten PM-Proteinen und partiell gereinigten PM-Proteinen, erfolgte mittels Chemilumineszenzanalyse. Neben NO wurde unter Anwendung der Membran-Inlet-Massenspektrometrie an PM-Vesikeln außerdem die Bildung von N2O und NO2 nachgewiesen. In Abhängigkeit von der externen Nitraternährung der Tabakpflanzen bestand ein Zusammenhang zwischen der NI-NOR-Aktivität und der Kolonisierungsrate der Wurzeln mit dem vesikulär-arbuskulären Mykorrhizapilz Glomus mosseae, wobei geringe NI-NOR-Aktivitäten unter Stickstoffmangelbedingungen mit hohen Kolonisierungsraten und umgekehrt hohe NI-NOR-Aktivitäten bei optimaler Nitraternährung mit geringen Kolonisierungsraten korrelierten. Die NI-NOR-Aktivität wurde konzentrationsabhängig und reversibel durch die Anwesenheit von Sauerstoff gehemmt und erreichte bei einer Luftsauerstoffkonzentration von 21 % noch etwa 22 % ihrer ursprünglichen, unter anoxischen Bedingungen gemessenen Aktivität. Um die Identität dieses Enzyms über massenspektrometrische Analysen zu klären, wurde die NI-NOR ausgehend von isolierten PM-Vesikeln aus Tabakwurzeln durch Solubilisierung sowie über chromatographische und gelelektrophoretische Trennungsmethoden aufgereinigt. Mit Hilfe der Massenspektrometrie wurden vor allem verschiedene Aquaporine und Kanäle sowie einige noch unbekannte Proteine identifiziert, bei denen es sich möglicherweise um die NI-NOR handeln könnte. Eine Oxidoreduktase, als möglicher Kandidat für die NI-NOR, wurde jedoch nicht gefunden.
Kenntnisse über Strukturen und Dynamik natürlicher und naturnaher Wälder sind die Voraussetzung für naturnahe Waldbewirtschaftung. Die Ziele der Arbeit waren deshalb die Rekonstruktion von Waldzusammensetzung und Dynamik sowie die Identifizierung der natürlichen bzw. naturnahen Waldgesellschaften im Ablagerungsgebiet der Grundmoräne des letzten Stadiums der Weichselvereisung in Mitteleuropa. Das Untersuchungsgebiet, der Eldenaer Wald, ist ein 407 ha großes Naturschutzgebiet nahe Greifswald und liegt in einer flachwelligen Grundmoränenlandschaft mit nährstoff- und basenreichen Böden. Die Vegetation wird heute vom Eschen-Buchenwald (Fraxino excelsioris-Fagetum sylvaticae) dominiert, in dem auch Acer pseudoplatanus und A. platanoides, Prunus avium, Ulmus glabra, Carpinus betulus und als Nutzungsrelikt Quercus robur vorkommen. Für die Vegetationsrekonstruktion wurden an sechs Bohrkernen aus sechs im Untersuchungsgebiet verteilt liegenden Senken Mikrofossilien und z. T. Makrofossilien analysiert sowie der Glühverlust bestimmt. Die zeitliche Einordnung erfolgte mit 25 14C-AMS-Datierungen. Für die untersuchten Proben wurden Altersangaben inter- und extrapoliert. Weiterhin wurden historische Akten und Karten ausgewertet. Für die Rekonstruktion der Vegetation in der nahen Umgebung der Untersuchungspunkte (UP) wurde eine Methode zur Trennung von (extra)lokalen und regionalen Signalen der Mikrofossil-Typen entwickelt. Dabei werden Mikrofossil-Werte der UP mit den regionalen Daten eines Bohrkerns aus dem Greifswalder Bodden (Bucht der südlichen Ostsee) verglichen. (Extra)lokale Anteile zeigen sich in Form von überhöhten Werten im Vergleich zu den regionalen Werten. Der Vergleich wurde getrennt für Mikrofossil-Typen, die sich schlecht bzw. gut erhalten, durchgeführt, um die Unterbewertung der ersteren zu verringern. Mit Hilfe von Korrekturfaktoren (ANDERSEN 1970, 1984) wurden aus dem (extra)lokalen Anteil der Gehölz-Pollen die etwaigen Anteile der Gehölze an der gehölzbestandenen Fläche der frischen bis trockenen Standorten im Umkreis von etwa 100 m um den UP rekonstruiert. Der Offenheitsgrad der Vegetation wurde aus dem Auftreten indikativer Mikrofossil-Typen abgeleitet. Die rekonstruierte Vegetation innerhalb der Senken bildeten hauptsächlich nasse Erlenwälder. Durch anthropogene Entwässerungen und andere Eingriffe bildeten sich Röhrichte, Birken- und Weidengehölze sowie Erlen-Eschenwälder. Die Vegetation der frischen bis trockenen Standorte im Umkreis der Hohlformen war sehr unterschiedlich ausgebildet und wechselte auch an den verschiedenen UP sehr stark. Der Vergleich der UP zeigte, dass im Zeitabschnitt von AD 200 - 700, außer an einem UP, keine Hinweise auf Nutzungseinflüsse auftraten. Trotzdem waren die Gehölzbestände als Folge früherer menschlicher Aktivitäten z. T. noch sehr stark von Zwischenwaldarten (Acer, Fraxinus, Ulmus) geprägt. Nur an zwei Standorten traten auch über diesen Zeitabschnitt hinaus relativ stabile, von Tilia bzw. Fagus dominierte und nicht nachweisbar von menschlicher Aktivität beeinflusste Gehölzspektren auf. Ab AD 1100 sind nach und nach an allen UP massive Veränderungen im Gehölzspektrum nachweisbar, die mit dem wachsenden Nutzungsdruck infolge der slawischen Besiedlung, der Klostergründung (AD 1199) und den Dorfgründungen (ab AD 1250) einhergingen. Erst im Zeitraum AD 1820 - 2000 stellten sich mit der Einführung der geregelten Forstwirtschaft an fast allen Standorten ähnliche, von Fraxinus und Fagus dominierte Gehölzspektren ein. Mit Hilfe von Cluster-Analyse und Detrended Correspondence Analysis aller rekonstruierten Gehölzbestände wurden vier typische Gesellschaften der Gehölzvegetation der letzten 2000 Jahre herausgearbeitet. Fraxinus-Acer-Quercus-Bestände und Carpinus-Fagus-Quercus-Bestände stellen Vor- und/oder Zwischenwälder dar, die sich mit der Wiederbewaldung von Offenflächen einstellten und aus denen sich Schlusswälder entwickelten. (Betula-)Corylus-Tilia-Bestände beinhalten Schlusswälder, die noch bis etwa AD 1500 im Untersuchungsgebiet existierten. Die Fraxinus-Fagus-Bestände sind ebenfalls Schlusswälder, die fast im gesamten Untersuchungszeitraum nachgewiesen wurden. Aus den Untersuchungen wurde deutlich, dass die Entwicklung der Waldbestände stark durch anthropogene Einflüsse geprägt war. Das Verschwinden der Tilia-bestimmten Bestände und die Ausbreitung von Fagus wurden durch menschliche Aktivitäten ausgelöst. Das Gattungsspektrum der heute dominierenden Waldgesellschaft, des Eschen-Buchenwaldes (Fraxino excelsioris-Fagetum sylvaticae), konnte am Standort EXB bis ins 1. Jh. AD auch in nutzungsfreien Phasen zurückverfolgt werden, so dass es als natürlich gelten kann.
Generally, all works dealt primarily with the biodiversity and phylogeny of leaf-inhabiting fungi of three Ficus species (F. benjamina, F. elastica and F. religiosa) with the exception of the bioprospecting which focused on discovering antimicrobial activities and secondary metabolite production. Investigations took place in natural and urban forests in the Philippines and in tropical greenhouse gardens in Germany.
Peatlands are wetland ecosystems covering a relatively small area of the World (~3%), but at the same time storing excessive amounts of carbon for a very long time (equivalent to the four times global annual net primary production). As carbon sinks, peatlands work in spite of their slow growth, absorbing carbon dioxide (CO2) through the photosynthetic activity of the peatland plants and their low growth rates, and because high groundwater table removes oxygen from the soil and slows down the decomposition of the dead plant matter. Because of the relative lack of the oxygen in the peat, especially compared to the mineral soils, methanogen populations in the peatlands are abundant, and releasing methane (CH4), a potent greenhouse gas, to the atmosphere. Therefore, peatlands are generally at the same time significant carbon sinks and stores as well as the methane sources. The balance among the two peatland gass fluxes (CO2 and CH4) will dictate the impact of any given peatland on the global climate and primarily driven by hydrology, in the form of the groundwater table levels.
Because of the slow decomposition rates, and from radiocarbon dating of the peat as well as the subfossil records buried in it, carbon stored in peatlands is locked for a very long time (centuries to millennia). It is, therefore, crucial to gain insights into the development of peatlands and their gas balance through time. One way to get both is by studying peatland hydrology in the form of the groundwater table levels and their historical variations. Unfortunately, intensive monitoring of peatland groundwater table, when available, is an only a recent endeavor. Therefore, we need to employ proxies to reconstruct the past by leveraging the present. In statistics, proxy variables are often used when the observations of the variable of interest, are either missing or too difficult to obtain.
In this thesis, I tested whether we can use the radial growth of the Scots pines growing on peat as proxies to the peatland hydrology. To that end, I studied growth responses of the peatland Scots pines. Other proxies can and are used for the reconstructions of the groundwater table levels, but tree-growth is widely used as one of the proxies to reconstruct past environments which is at the same time annually resolved.
First, I examined the growth ecology of the peatland Scots pines by looking at their intra-annual development and trying to find relationships between it and environmental factors while at the same time comparing it with the Scots pines growing at the forest sites. I first tried with wood anatomy and found that, unfortunately, peatland Scots pines do not form enough wood cells, and consequently do not have high temporal resolution, necessary to investigate the intra-annual patterns of the radial growth. Initial results from wood anatomical investigations were interesting none-the-less, indicating that peatland Scots pines might have smaller cell features than the Scots pines from forests, but might at the same time maintain Early/Latewood ratios of those same features.
After I found that wood anatomical series were not resolved enough I decided to go with dendrometers, linear displacement sensors which constantly monitor the variations of stem radius, to get insights into the intra-annual growth patterns of the peatland Scots pines. Before using dendrometers for ecological investigations, I was involved in implementing routines commonly used in the analysis of the dendrometer signals and bringing them to R in the form of the dendrometeR package.
At one peatland complex, I installed dendrometers on ten trees in total at both peatland and forest sites and compared the pattern of the standardized signal. I inferred from the comparisons and classifications that the signal from two sites was indistinguishable for the dendrometer series shorter than five days. Furthermore, the most important environmental factor driving the radial variation at the peatland site was hydrological, daily relative humidity, indicating further that peatland hydrology might indeed be the driver behind peatland Scots pine growth.
Finally, I looked at the growth responses of peatland Scots pines from central Estonia using dendrochronological methods. Peatland hydrology, in the form of the groundwater table levels, was indeed the environmental factor with the strongest, and also stationary, correlations with the radial growth of the peatland Scots pine. That relationship indicated that peatland Scots pines are indeed possible proxies for reconstructing past levels of the peatland groundwater tables.
My study further indicated that the growth response of the peatland Scots pines was non-linear, further complicating the reconstructions of the past peatland hydrology. However, the strength of the growth response was proportional to the general hydrological regime, expressed as median groundwater table level. As the hydrological regime of the peatland does not vary considerably on the annual scales, but more on decadal it might be more appropriate to find another, independent, proxy to the hydrological regime first, and than use annually resolved radial growth of the peatland Scots pine to reconstruct past levels of the peatland groundwater table.
Rewetting is the most effective way to reduce greenhouse gas (GHG) emissions from drained peatlands and must significantly contribute to the implementation of the Paris Agreement on Climate within the land sector. In 2010–2013, more than 73 thousand hectares of fire-prone peatlands were rewetted in the Moscow Region (the hitherto largest rewetting program in the Northern Hemisphere). As the Russian Federation has no national accounting of rewetted areas yet, this paper presents an approach to detect them based on multispectral satellite data verified by ground truthing. We propose that effectively rewetted areas should minimally include areas with wet grasslands and those covered with water (cf. the IPCC categories “rewetted organic soils” and “flooded lands”). In 2020, these lands amounted in Moscow Region to more than 5.3 and 3.6 thousand hectares, respectively. Assuming that most rewetted areas were former peat extraction sites and using IPCC default GHG emission factors, an overall GHG emission reduction of over 36,000 tCO2-eq year−1 was calculated. We furthermore considered the uncertainty of calculations. With the example of a 1535 ha large rewetted peatland, we illustrate the estimation of GHG emission reductions for the period up to 2050. The approach presented can be used to estimate GHG emission reductions by peatland rewetting on the national, regional, and object level.
AbstractGlobal challenges related to land, biodiversity, food and climate interact in diverse ways depending on local conditions and the broader context in which they are embedded. This diversity challenges learning and integrated decision-making to sustainably transform the nexus, that is to say the interactions between these land-based challenges. Providing aggregated insights, archetype analysis has revealed recurrent patterns within the multitude of interactions, i.e. interaction archetypes that are essential to enhance the understanding of nexus relations. This paper synthesises the state of knowledge on interaction or nexus archetypes related to land, biodiversity, food and climate based on a systematic literature review. It focusses on the coverage of thematic aspects, regional distribution, social dimensions and methodologies. The results show that consideration of comprehensive land–biodiversity–food–climate interactions is rare. Furthermore, there are pronounced regional knowledge gaps, social dimensions are inadequately captured, and methodological shortcomings are evident. To enhance the investigation of interaction archetypes, we have framed a future research agenda providing directions to fully capture interactions across space and time, better use the potential of scenario archetypes and up-scale transformative actions. These advances will constructively contribute insights that help to achieve the ambitious objective to sustainably transform the nexus between land, biodiversity, food and climate.
Observed recent and expected future increases in frequency and intensity of climatic extremes in central Europe may pose critical challenges for domestic tree species. Continuous dendrometer recordings provide a valuable source of information on tree stem radius variations, offering the possibility to study a tree's response to environmental influences at a high temporal resolution. In this study, we analyze stem radius variations (SRV) of three domestic tree species (beech, oak, and pine) from 2012 to 2014. We use the novel statistical approach of event coincidence analysis (ECA) to investigate the simultaneous occurrence of extreme daily weather conditions and extreme SRVs, where extremes are defined with respect to the common values at a given phase of the annual growth period. Besides defining extreme events based on individual meteorological variables, we additionally introduce conditional and joint ECA as new multivariate extensions of the original methodology and apply them for testing 105 different combinations of variables regarding their impact on SRV extremes. Our results reveal a strong susceptibility of all three species to the extremes of several meteorological variables. Yet, the inter-species differences regarding their response to the meteorological extremes are comparatively low. The obtained results provide a thorough extension of previous correlation-based studies by emphasizing on the timings of climatic extremes only. We suggest that the employed methodological approach should be further promoted in forest research regarding the investigation of tree responses to changing environmental conditions.
Leaf-inhabiting fungi are a hyperdiverse group of microbiota found in all terrestrial habitats. Comparative studies targeting the drivers of endophytic fungal biodiversity are rare and identified multiple effectors, such as plant chemistry, climate and seasonal attributes. Our project aimed to study the pattern of the leaf-associated mycobiome of European beech (Fagus sylvatica) at altitudinally distinct sites to reveal diversity, composition and seasonal dynamics of fungal endophytes by a combination of metabarcoding, cultivation and subsequent ecological analyses. This thesis also intended to study the fungal relationship with biotic and abiotic factors: elevation, local site conditions, leaf biochemistry and leaf status. Metabarcoding and cultivation were applied for same leaf samples to trace both environmental drivers and method-dependent signals of the detected fungi. An experimental field site consisting of 100 (2-years old beech) trees was established called ‘beech phytometer’ system at two altitudes (517 and 975 m a.s.l.) in a German mountain forest. Beech trees were randomly selected from both sites as well as from neighboring beech trees. Ten trees from each site were chosen and 10 leaves per tree were sampled. Climatic and leaf biochemistry (Chlorophyll, flavonoid and nitrogen) data were seasonally (Autumn, Spring and Summer) investigated for two continuous years (Oct 2013 to Oct 2015) at these two elevations. In the first year (autumn, 2013) of the project (chapter 3.1), the leaf-inhabiting fungi of natural beech trees were investigated by using high-throughput sequencing (metabarcoding) at three altitudinally distinct sites (with timberline at 1381 m a.s.l.) in the German Alps. This paper focuses on a detailed description and evaluation of metabarcoding amplicon library preparation and a subsequent analytical workflow. Fungal diversity and community composition were compared as a function of different elevated sites and leaf status (i.e., vital or senescent). However, three investigation sites resulted in 969 OTUs (operational taxonomic units) from 820441 sequences. Taxonomic compositions (order) of beech fungi differed strongly among the three sites but were less distinct between the vital and the senescence leaves. Fungal community composition at valley site clearly differed from those of mountain and timberline where differences between mountain and timberline were less prominent. Vital and senescence leaf differed in fungal community structures indicating a strong dynamics of leaf fungi in autumn. Elevation and leaf status were found to be the main explaining factors, which affected the fungal richness and compositions. Another survey (Chapter 3.2) was conducted just after the establishment of the ‘beech phytometer’ trees in the same period (autumn 2013) where leaf mycobiome of the phytometer trees (trees originally came from Northern Germany and grown in nursery) were compared with the fungi of surrounding natural beech habitat at valley (517 m a.s.l.) and mountain site (975 m a.s.l.) in the same location “Untersberg”. Fungal diversity was lowest in the managed habitat in the nursery and was highest in natural habitat. Fungal diversity and compositions significantly associated the origin of the trees. Under natural conditions, the fungi were more diverse at lower altitudes than at higher altitudes. Additionally, leaf chlorophyll and flavonoid contents showed negative correlations with fungal richness in natural stands. In the second year (autumn 2014), another survey (chapter 3.3) was conducted on leaf endophytes of phytometer trees with metabarcoding and cultivation approaches to trace the environmental drivers and method-dependent indications. Metabarcoding resulted in 597 OTUs from 170480 curated ITS1 reads and cultivation revealed 70 OTUs from 438 culture-based Sanger sequences. Both approaches resulted in non-overlapping community compositions and pronounced differences in taxonomic classification and trophic stages. However, both methods revealed similar correlations of the fungal communities with local environmental conditions. Our results indicate undisputable advantages of metabarcoding over cultivation in terms of representation of the major functional guilds, rare taxa and diversity signals of leaf-inhabiting fungi. This stressed out the importance of cultivation for complementing sequence databases with good quality reference data and encouraged the use of both approaches in future microbial biodiversity assessment studies. Phytometer and natural trees were intensively investigated in this study (chapter 3.4) to assess the influence of site characteristics (altitudes, local microclimate), seasonality, leaf biochemistry and leaf age on fungal diversity and composition. In total, our analytical Illumina workflow resulted in 15703599 demultiplexed and ITS1 reads from 165 samples. Clustering at 97% similarity resulted in 1199 OTUs. Climatic parameters were significantly differed between valley and mountain on daily basis but were insignificantly differed on monthly basis. The compositional difference between phytometer and natural mycobiome was significant for combined data as well as for the seasonal data (Oct 2013-Oct 2014). We observed a strong seasonal turnover in phyllosphere fungi in both habitats over the two years of investigation, suggesting that the plant-fungal system not only responds to cyclic climatic conditions but depends as well on various parameters, e.g., geographic position, substrates age and surrounding vegetation. A side (chapter 3.5) study was done to see the connection between the foliar endophytes and foliar phenolic compounds of European aspen (Populus tremula) in the presence and absence of specialist beetles (Chrysomela tremula). A distinct pattern of the leaf endophytes was found to be associated with aspen genotype and chemotype, but this specificity disappeared in the presence of herbivorous beetles. This suggested that leaf endophytes responded to the herbivory in aspen. In general, the altitudinal difference is the most important explaining factor for fungal community differences, which shapes many dependent abiotic and biotic habitat factors. Regarding cost and time per sequence, metabarcoding is superior to cultivation approaches and offers surprisingly profound insights by yielding much more data, allowing to test at once multiple hypotheses in fungal ecology.
Dendrochronology, the science of tree-rings is a tool which has been widely used for many years for understanding changes in the environment, as trees react to environmental changes over time. In the contemporary situation, where climate warming in the Arctic is unequivocal and its effects on the Alpine and tundra ecosystems are seen pronouncedly in the past decade, the role of dendro-studies and the use of trees and shrubs alike as proxies of change has become critical. Studies clearly indicate that warming in the Arctic and Alpine tundra has resulted in increased vegetation in recent years. Shrubs, in these sensitive ecosystems, have proven to be highly instrumental as they likely benefit from this warming and hence are good indicators and auditees of this change. Therefore, in this study, we investigate the potential of shrubs in the evolving field of dendro-ecology/climatology.
Studies from classical dendrochronology used annual rings from trees. Further, because of shrub sensitivity to contemporary change, shrub-based dendrochronological research has increased at a notable scale in the last decade and will likely continue. This is because shrubs grow even beyond the tree line and promise environmental records from areas where tree growth is very limited or absent. However, a common limitation noted by most shrub studies is the very hard cross-dating due to asynchronous growth patterns. This limitation poses a major hurdle in shrub-based dendrochronological studies, as it renders weak detection of common signals in growth patterns in population stands. This common signal is traced by using a ‘site-chronology’.
In this dissertation, I studied shrub growth through various resolutions, starting from understanding radial growth within individuals along the length of the stem, to comparison of radial growth responses among male and female shrubs, to comparing growth responses among trees and shrubs to investigation of biome-wide functional trait responses to current warming. Apart from Chapter 4 and Chapter 6, I largely used Juniperus communis sp. for investigations as it is the most widely distributed woody dioecious species often used in dendro-ecological investigations in the Northern Hemisphere.
Primarily, we investigated radial growth patterns within shrubs to better understand growth within individuals by comparing different stem-disks from different stem heights within individuals. We found significant differences in radial growth from different stem-disks with respect to stem heights from same individuals. Furthermore, we found that these differences depending on the choice of the stem-disk affect the resulting site-chronology and hence climate-sensitivity to a substantial extent and that the choice of a stem-disk is a crucial precursor which affects climate-growth relationships.
Secondly, we investigated if gender difference – often reported causing differential radial growth in dioecious trees – is an influential factor for heterogeneous growth. We found that at least in case of Juniperus communis. L and Juniperus communis ssp nana. WILLD there is no substantial gender biased difference in radial growth which might affect the site-chronology. We did find moderate differences between sexes in an overall analysis and attribute this to reproductive effort in females.
In our study to test the potential of shrubs for reconstruction, we used a test case of Alnus viridis ssp crispa. We found a strong correlation between ring-width indices and summer temperature. Initially, the model failed the stability tests when we tested the stability of this relation using a response function model. However, using wood-anatomical analysis we discovered that this was because of abnormal cell-wall formation resulting in very thin rings in the year 2004. Pointer year analysis revealed that the thin rings were caused because of a moth larval outbreak and when corrected for these rings the model passed all stability tests.
Furthermore, to see if trees and shrubs growing in same biomes react to environmental changes similarly, a network analysis with sites ranging from the Mediterranean biome to the Ural Mountains in Russia was carried out. We found that shrubs react better to the current climate warming and have a decoupled divergent temperature response as compared to coexisting trees. This outcome reiterated the importance of shrub studies in relation to contemporary climate change. Even though trees and shrubs are woody forms producing annual rings, they have very different growth patterns and need different methods for analysis and data treatment.
Finally, in a domain-wide network analysis from plant-community vegetation survey, we investigated functional relationships between plant traits (leaf area, plant height, leaf nitrogen content, specific leaf area (SLA), and leaf dry matter content (LDMC)) and abiotic factors viz. temperature and soil moisture. We found a strong relation between summer temperature and community height, SLA and LDMC on a spatial scale. Contrarily, the temporal-analysis revealed SLA and LDMC lagged and did not respond to temperature over the last decade. We realized that there are complex interactions between intra-specific and inter-specific plant traits which differ spatially and temporally impacting Arctic ecosystems in terms of carbon turn over, surface albedo, water balance and heat-energy fluxes. We found that ecosystem functions in the Arctic are closely linked with plant height and will be indicative of warming in the short term future becoming key factors in modelling ecosystem projections.
Abstract
Myxomycetes are terrestrial protists with many presumably cosmopolitan species dispersing via airborne spores. A truly cosmopolitan species would suffer from outbreeding depression hampering local adaptation, while locally adapted species with limited distribution would be at a higher risk of extinction in changing environments. Here, we investigate intraspecific genetic diversity and phylogeography of Physarum albescens over the entire Northern Hemisphere. We sequenced 324 field collections of fruit bodies for 1–3 genetic markers (SSU, EF1A, COI) and analysed 98 specimens with genotyping by sequencing. The structure of the three‐gene phylogeny, SNP‐based phylogeny, phylogenetic networks, and the observed recombination pattern of three independently inherited gene markers can be best explained by the presence of at least 18 reproductively isolated groups, which can be seen as cryptic species. In all intensively sampled regions and in many localities, members of several phylogroups coexisted. Some phylogroups were found to be abundant in only one region and completely absent in other well‐studied regions, and thus may represent regional endemics. Our results demonstrate that the widely distributed myxomycete species Ph. albescens represents a complex of at least 18 cryptic species, and some of these seem to have a limited geographical distribution. In addition, the presence of groups of presumably clonal specimens suggests that sexual and asexual reproduction coexist in natural populations of myxomycetes.
Im Rahmen eines Forschungsprojekts im Bereich der Odermündung wurde ein Pflanzentest für aquatische Verunreinigungen gesucht. Der Test wurde nach einem Testprotokoll von Everiss (1979) etabliert. Als Endpunkte gingen die Frischmasse und die Gesamtsprossen ein. Die Testlösungen wurden aus einer konzentrierten Mischung von 7 Schwermetallen und Arsen (As, Hg, Cd, Cr, Cu, Ni, Pb, Zn) und als Einzelsubstanzlösungen hergestellt. Die Auswertungen erfolgten in Prozent bezogen auf die Kontrolle sowie varianzanalytisch nach OECD (2002). In 100facher NKO (NKO = mittlere Konzentration Oderwasser Oberhalb der Nachweisgrenze) wurde eine schwere Schädigung durch alle Gemische verursacht. Das Gemisch ohne Cr schädigte am stärksten. In 10facher NKO konnte eine Wachstumshemmung nachgewiesen werden. Bei 1facher NKO zeigte sich eine geringe Beeinflussung. Als Einzelstoff war Cu in 100facher NKO am stärksten toxisch, gefolgt von Zn, Ni und Cd. As, Pb, Hg und Cr wirkten nicht eindeutig wachstumshemmend. In 10facher NKO war bei Cd, Cu und Zn noch Schädigung vorhanden. Kupfer wirkte auch in der 1fachen NKO noch schädigend. Bei Cd zeigte sich noch eine Reduktion des Sprosswachstums, aber keine Frischmassereduktion. Der L. minor - Test ist sensitiv und eignet sich als Screeningtest für unbekannte Gewässerproben. Er stellt eine gute Ergänzung zu anderen Biotestverfahren dar. Für eine umwelttoxikologische Einschätzung wird anhand der erzielten Ergebnisse ein Schädigungsmodell vorgeschlagen.
Abstract
Root phenology influences the timing of plant resource acquisition and carbon fluxes into the soil. This is particularly important in fen peatlands, in which peat is primarily formed by roots and rhizomes of vascular plants. However, most fens in Central Europe are drained for agriculture, leading to large carbon losses, and further threatened by increasing frequency and intensity of droughts. Rewetting fens aims to restore the original carbon sink, but how root phenology is affected by drainage and rewetting is largely unknown.
We monitored root phenology with minirhizotrons in drained and rewetted fens (alder forest, percolation fen and coastal fen) as well as its soil temperature and water table depth during the 2018 drought. For each fen type, we studied a drained site and a site that was rewetted ~25 years ago, while all the sites studied had been drained for almost a century.
Overall, the growing season was longer with rewetting, allowing roots to grow over a longer period in the year and have a higher root production than under drainage. With increasing depth, the growing season shifted to later in time but remained a similar length, and the relative importance of soil temperature for root length changes increased with soil depth.
Synthesis and applications. Rewetting extended the growing season of roots, highlighting the importance of phenology in explaining root productivity in peatlands. A longer growing season allows a longer period of carbon sequestration in form of root biomass and promotes the peatlands' carbon sink function, especially through longer growth in deep soil layers. Thus, management practices that focus on rewetting peatland ecosystems are necessary to maintain their function as carbon sinks, particularly under drought conditions, and are a top priority to reduce carbon emissions and address climate change.
Peatlands are the most space-efficient terrestrial carbon sink on earth, storing more carbon than all other vegetation types in the world combined. The amount of carbon input into peatlands is determined by the primary production and decomposition of plants. The fragile relationship between these two processes is massively disturbed by intensive land use and the associated drainage of large peatland areas, releasing as much carbon dioxide annually as global air travel. Aiming for the substantial reduction of greenhouse gas emissions, rewetting measures have been initiated worldwide to protect and sustainably manage peatlands by restoring the waterlogged conditions required for peat formation. However, the increase in droughts across Europe adds another threat for peatlands by lowering water tables and affecting plant productivity, litter decomposition and phenology, which can reduce their potential for carbon storage.
Fens are minerotrophic peatlands that make up over a third of the peatland area in Europe. The growth and turnover of root biomass is particularly important for the formation and degradation of peat in fens; thus, a special focus should lie on root dynamics research. However, despite their pivotal role for peat formation, we still lack knowledge about root responses to environmental changes caused by rewetting or drought in fens. This thesis aims to advance our knowledge about root processes as well as their abiotic drivers in drained and rewetted fen peatlands of NE Germany, and how they may be affected by an extreme drought. For this purpose, destructive (i.e. in-growth cores, litter bags, soil coring) along with non-destructive measurements (i.e. minirhizotrons, NDVI) were used in situ in forested (alder forests) and graminoid-dominated (sedges and grasses) plant communities representative of the prevailing fen peatlands of Central Europe.
In this thesis, I investigate the environmental drivers of root growth (Chapters I-III), the annual production and decomposition (Chapter II), phenology and temporal dynamics of root growth (Chapters I and III), and the response of root biomass distribution and their functional traits to environmental changes linked to rewetting (Chapter IV). To understand the fundamental differences in productivity of plant communities on mineral and organic soils, above-and belowground phenology and their environmental drivers were compared among different temperate ecosystems (i.e. a beech forest, a forested peatland and two graminoid-dominated fen peatlands) in Central Europe (Chapter I). The study provides evidence that generalizations of aboveground to belowground production are not likely to reflect seasonal dynamics in temperate fen peatlands. Furthermore, the study shows that fine root production can be up to 10 times higher for peatland plant communities than for a beech forest on mineral soil, highlighting the importance of roots for contributing substantially to the formation of organic soils. By comparing annual productivity and decomposition between drained and rewetted fens, it is shown that rewetted fens maintained their productivity under the drought conditions experienced in Central Europe in the year 2018, leading to a higher carbon storage potential despite similar decomposition rates (Chapter II). A deeper understanding on the drivers of this high productivity in the rewetted sites is provided by the analysis of temporal dynamics of root growth and their potential abiotic drivers (Chapter III). Here, the important role of root phenology in the maintenance of productivity of rewetted fens under drought conditions is revealed, since higher root productivity in response to rewetting was driven by an extension of the growing season rather than through a higher growth rate (Chapter III). This thesis shows that rewetting can be beneficial for plant production under drought conditions, which is central to the maintenance of the carbon sink function of peatlands (Chapters II and III). Rewetting maintained high water tables, favouring a plant community adapted to water saturation and also to fluctuating environmental conditions, and thus a community able to cope with periodic water table drawdowns that might increase in the future. Contrarily, drainage caused water tables to constantly drop below rooting depth of plants that might be adapted to drier conditions, but not drought. To gain a deeper understanding of the changes that roots undergo with rewetting and their potential effects on soil carbon storage, a fourth study focuses on the changes in biomass distribution and functional traits of roots along the soil profile (Chapter IV). Together with root age determination the study indicates higher rates of carbon turnover in shallow soil layers and higher belowground carbon investments with rewetting compared to drainage in a forested peatland.
This thesis demonstrates that generalizations of phenological events from plant communities of mineral to organic soils, even though they face the same macroclimatic conditions, are misleading, as they are not subject of the same environmental controls (Chapter I). Rewetting of forest and graminoid-dominated fen peatlands supports their function as carbon sink by enhancing renewed carbon sequestration in form of root biomass (Chapters II-IV). Knowledge about root phenology is crucial to understand plant productivity of peatlands, one of the main drivers of organic matter accumulation (Chapter III). Even though roots are pivotal for mediating the input of carbon into the soil, their dynamics remain one of the least understood aspects of plant function. This thesis contributes to fill this knowledge gap by shedding light on root processes that contribute to the formation of peat and the complexity of the underlying abiotic drivers in rewetted and drained fens in face of a warmer and drier climate.
Climate Change-Induced Shift of Tree Growth Sensitivity at a Central Himalayan Treeline Ecotone
(2018)
Whether mice are an appropriate model for S. aureus infection and vaccination studies is a matter of debate, because they are not considered as natural hosts of S. aureus. We previously identified a mouse-adapted S. aureus strain, which caused infections in laboratory mice. This raised the question whether laboratory mice are commonly colonized with S. aureus and whether this might impact on infection experiments. Publicly available health reports from commercial vendors revealed that S. aureus colonization is rather frequent, with rates as high as 21% among specific-pathogen-free mice. In animal facilities, S. aureus was readily transmitted from parents to offspring, which became persistently colonized. Among 99 murine S. aureus isolates from Charles River Laboratories half belonged to the lineage CC88 (54.5%), followed by CC15, CC5, CC188, and CC8. A comparison of human and murine S. aureus isolates revealed features of host adaptation. In detail, murine strains lacked hlb-converting phages and superantigen-encoding mobile genetic elements, and were frequently ampicillin-sensitive. Moreover, murine CC88 isolates coagulated mouse plasma faster than human CC88 isolates. Importantly, S. aureus colonization clearly primed the murine immune system, inducing a systemic IgG response specific for numerous S. aureus proteins, including several vaccine candidates. Phospholipase C emerged as a promising test antigen for monitoring S. aureus colonization in laboratory mice. In conclusion, laboratory mice are natural hosts of S. aureus and therefore, could provide better infection models than previously assumed. Pre-exposure to the bacteria is a possible confounder in S. aureus infection and vaccination studies and should be monitored.
Carbon dioxide (CO2) is one of the most important factors of the Earth’s carbon cycle. Peatlands are well-known to be a long term sink for atmospheric carbon dioxide. Under changing environmental conditions, the carbon balance and hence the CO2 fluxes can be significantly changed, and peatlands may even become a significant atmospheric carbon source. To be able to predict the changes in climatic conditions and their effects on ecosystems, it is important to understand the contemporary CO2 exchange of the ecosystems. Many studies on peatland CO2 fluxes have been conducted in the boreal zone of North America and Scandinavia. Still little scientific evidence is available from peatland ecosystems of boreal Russia. This dissertation presents the detailed investigation of CO2 dynamics and the relevant processes and environmental factors from the boreal peatland site Ust-Pojeg (61°56'N, 50°13'E) in Komi Republic, northwest Russia. On the small spatial scale (microform), the investigated peatland was characterised by high variability in vegetation composition and coverage as well as in water table level which resulted in large variability in CO2 fluxes not only between the microform types but also within one microform type. The cumulative flux over the investigation period for the different microforms ranged from strong CO2 sources to CO2 sinks. An area-weighted estimate for the entire peatland showed that it was a CO2 source for the investigation period, which was characterised by average conditions in terms of precipitation and temperature. The CO2 fluxes were measured at different scales: by the closed chamber method at the microform scale and by the eddy covariance technique at the ecosystem scale. Three different upscaling methods were used to compare the fluxes. Irrespective of the upscaling methods, the discrepancies between the estimates based on the upscaled chamber measurements and estimates based on measurements by the eddy covariance technique were high. The high spatial heterogeneity of the vegetation and the water table level and thus of the CO2 fluxes were recognised as reasons for high potential errors when upscaling CO2 fluxes from the microform to the ecosystem level. Large discrepancies were also observed in comparison between measured CO2 fluxes and CO2 estimates based on the mechanistic ecosystem model LPJ-GUESS. Insufficient model forcing may have led to errors in the timing of the onset and the end of the growing season, and the modelled vegetation did not always reproduce the observed vegetation. These two factors may have led to the discrepancies in the model-measurement comparison. Although the closed chamber technique is widely used for measurements of CO2 fluxes between ecosystems and the atmosphere, the errors which might occur during the measurement itself or which are associated with the used measurement devices as well as the flux calculation from chamber-based CO2 concentration data are still under discussion. The study showed that the CO2 fluxes measured by the closed chamber method can be overestimated during low-turbulence nighttime conditions and can be seriously biased by inappropriate application of linear regression for the flux calculation. The methodological studies were conducted at the boreal peatland Salmisuo in eastern Finland (62°46'N, 30°58'E). The methods developed in this dissertation could contribute significantly to improved CO2 flux estimates. VI