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Institute
- Institut für Botanik und Landschaftsökologie & Botanischer Garten (56) (remove)
Abstract: The Arctic has experienced a pronounced increase in air temperature over the last four decades, with an average increase of 0.4 °C per decade and thus an increase of almost the double rate than that of temperate regions. Remote sensing studies and repeat photography of historical images have shown large-scale increases of plant productivity in tundra ecosystems over the same time period. A pronounced size, abundance and biomass increase of shrubs has been observed. This so called shrub expansion has important repercussions for the vegetation, the animals, the soil, the energy and the carbon balance of the Arctic tundra and on regional and global climate. As the comparison of historical photographs with recent photographs has shown, this shrub expansion occurs on different temporal and spatial scales with areas of strong increase in shrub cover (expanding patches) and areas without noticeable changes in shrub vegetation (stable patches). While remote sensing approaches for the detection of changes in vegetation are limited in their temporal coverage and so far also in their resolution, historical photographs with high resolution are often not available. Experimental studies have shown that an increase in nutrients or temperature often resulted in increased shrub biomass, but findings were partly contradictory, referred to short term observations and usually confined to small areas. To bridge the gap between spatially limited plot-scale experiments and global large-scale assessment of plant productivity by satellite derived pictures, dendrochronology was used in this thesis to analyze the drivers for and the rate of shrub growth of different widespread evergreen and deciduous shrub species in alpine and arctic tundra and to reconstruct historic environmental conditions. In detail, this doctoral thesis was conducted to study shrub growth and to assess the applicability of traditional dendrochronological methods on shrubs that had been so far mainly applied to trees and to test whether shrubs differed morphologically from trees. Further, I was determined to look for evidence for a possible Scandinavian shrub range expansion and to assess which climatic factors – temperature, precipitation or snow – influenced shrub growth significantly. Moreover, we aimed to find the reason for the observed heterogeneity of the shrub expansion on the landscape and its relevance for the three most common shrubs on the Alaskan tundra. The methods applied followed the routines usually applied for dendrochronological analyses of treerings, with the exception that usually several stem discs of the main stem were analyzed and frequently had to be prepared with help of a microtome as thin-sections, that were stained and sealed on a coverglass before annual shrubrings were measured. The averaged shrubring widths were then compared with environmental factors through correlation and regression methods. This thesis gives first a general introduction to climate change in the Arctic, shrub expansion on the tundra, the scientific discipline of dendrochronology or -ecology on shrubs and its development, the main research questions and the thesis outline. Then seven research papers are presented and the main results and conclusions are synthesized and discussed and finally possible venues of future research are outlined. The most important insights gained from this thesis are the following: I) Dendroecological methods can be applied to shrubs. Insights into shrub morphology have been gained by detecting an interesting mechanism for coping with adverse environmental conditions of both, trees and shrubs that can save resources by confining the production of wood to the upper parts of the stem. II) Further, I found evidence for a shrub expansion in Scandinavia. III) I could establish the causal link between the current climate warming and increased radial and vertical shrub growth by identifying summer temperature as main driver for shrub growth. IV) Results from the Alaskan tundra indicate a strongly adverse role of snow for shrub growth in stable patches, refuting the popular snow-shrub-microbe hypothesis for this extensive area across species. The differing influence of snow is likely linked to the presence of permafrost and shallow active layers and the snow’s contribution to moist or even anoxic conditions in Alaska. V) Furthermore, we found that the different rates and the spatial heterogeneity of shrub expansion are accompanied by strong differences in the surrounding vegetation composition and the soil parameters of expanding (accustomed to more favorable conditions) and stable shrub patches. VI) These differences are predisposed by shrub patch position within the landscape, comprising different levels and rates of disturbance. VII) Additionally, shrub ring records were successfully used as natural archives to model past temperature dynamics respectively summer glacier mass balance with high accuracy. VIII) Finally, a synthesis of the climate-growth relationships of shrubs of more than 25 sites around the Arctic as joined effort together with other leading shrub researchers supports the presence of a circumpolar shrub expansion, gives recommendations for methods used in shrub dendroecology and lays out future research directions. The findings of my dissertation research show that the analysis of shrubs by dendroecological methods yields highly interesting results, and they greatly improved our understanding of factors that influence individual shrub growth, the reconstruction of earlier environmental conditions as well as the reconstruction and assessment of plant population dynamics.
In terms of climate change and climate change mitigation, the quantitative knowledge of global carbon pools is important information. On the one hand, knowledge on the amount of carbon cycling among – and stored in – global pools (i.e. Atmosphere, Biosphere, Cryosphere, Hydrosphere, and Lithosphere) may improve the reliability of models predicting atmospheric CO2 concentrations in terms of fossil fuel combustion. On the other hand, the carbon sequestration potential of specific ecosystems allows for estimating their feasibility regarding carbon trade mechanisms such as the Clean Development Mechanism or the Reducing Emissions from Deforestation and Degradation Program (REDD+). However, up to date, the majority of terrestrial carbon assessments have focused on forests and peatlands, leaving a data gap open regarding the remaining ecosystems. This data gap is likely to be explained by the relatively high carbon densities and/or productivities of forests and peatlands. Nevertheless, to get a precise as possible global picture, information on carbon pools and sequestration of other ecosystems is needed. Although desert ecosystems generally express low carbon densities, they may absolutely store a remarkable amount of carbon due to their large areal extent. In this context, Central Asian Deserts (in particular within the Turanian Deserts, i.e. Karakum, Kysylkum, Muyunkum) likely inhibit comparably high carbon pools as they express a sparse vegetation cover due to an exceptionally high annual precipitation if compared to the World’s deserts. In this dissertation, three important woody plant species – Populus euphratica and Haloxylon aphyllum and Haloxylon persicum – of Central Asian Deserts were investigated for their carbon pools and carbon sequestration potential. These species were chosen as they I) locally express high carbon densities, II) are dominant species, III) have a rather large spatial distribution, and IV) have experienced a strong degradation throughout the 20th century. Thus, they likely show a remarkable potential for carbon re-sequestration through restoration and thus for an application of carbon trade mechanisms (CHAPTER I). P. euphratica was investigated in the nature reserve Kabakly at the Amu Darya, Turkmenistan and in Iminqak at the Tarim He, Xinjiang, China. The assessment of Haloxylon species was restricted to the Turanian deserts west of the Tain Shan. To achieve a first scientific basis for large scale estimates, different methodologies, ranging from allometric formulas, over dendrochronology to remote sensing were combined (CHAPTERS II-V). In CHAPTER II allometric formulas were successfully developed for Haloxylon aphyllum and Haloxylon persicum and applied to six study sites distributed over the Turanian Deserts to represent the allometric variability of Haloxylon species in Central Asia. CHAPTER III derives another allometric formula (only based on canopy area) for H. aphyllum and combines it with a remote sensing analysis from the nature reserve Repetek. Thereby, a first large scale estimate covering the Northeastern Karakum Desert of carbon pools related to mono specific H. aphyllum stands is achieved. CHAPTER IV describes the wood structure of Populus euphratica forests in the nature reserve Kabakly (Turkmenistan) and in Iminqak (Xinjiang, China). In CHAPTER V a dendrochronological approach derives models for predicting the Net Primary Productivity (NPP) and the age of P. euphratica in the nature reserve Kabakly. Thereby, a first feasibility assessment regarding remote sensing analyses and the upscaling of the obtained NPP results is carried out. First estimates based on these local studies (CHAPTER VI), reveal carbon densities ranging from 0.1 – 26.3 t C ha 1 for the three investigated species. Highest maximum and median carbon densities were found for P. euphratica, but Haloxylon aphyllum expressed remarkable maximum carbon densities (13.1 t C ha-1), too. The total carbon pools were estimated at 6480 kt C for P. euphratica, 520 kt C for H. aphyllum stands and 6900 kt C for Haloxylon persicum shrubland. Accounting for the extent of degraded areas, the total re-sequestration potentials of the respective species were estimated at 4320 kt C, 1620 kt C and 21900 kt C, this highlighting the remarkable absolute re-sequestration potential of H. persicum shrubland despite its low average carbon densities. In the end, the main results were put into a broader context (CHAPTER VI), discussing the general feasibility of reforestations both in ecological terms as well as in terms of carbon trade mechanisms. A short example highlights the strong connection between the feasibility of reforestations and the global carbon market. Finally, open research questions are brought forth revealing the yet large research potential of Central Asian Desert ecosystems in general and in terms of carbon sequestration.
Charakterisierung plasmamembrangebundener Proteasen von Nicotiana tabacum und Hordeum vulgare
(2012)
Es wurden erstmals zwei plasmamembrangebundene Proteaseformen in den Wurzeln der Gerste massenspektrometrisch identifiziert und den Metalloaminopeptidasen der Peptidasefamilien M17 und M24 zugeordnet. Ausgehend von Enzymaktivitätstests mit verschiedenen Substraten und gelelektrophoretischer Fraktionierungen existieren darüber hinaus weitere PM-Proteasen des Aminopeptidase-, Carboxypeptidase- und Endoproteasetyps an der pflanzlichen Plasmamembran (PM). Die untersuchten PM-Proteasen stellen Triton X-114-resistente Proteine dar, die erfolgreich mit Octylglucosid solubilisiert wurden und sowohl an der inneren als auch an der apoplastischen Seite der PM lokalisiert sein könnten. Durch endogene Proteolyse werden andere PM-Proteine wie Aquaporine und P-Typ-H+-ATPasen durch die PM-Proteasen reguliert. Dabei zeigen einige dieser Proteolyseprodukte Proteaseaktivität, die für vier Proteaseformen der Gerste erst nach der Abtrennung von der PM nachweisbar war.
Northern peatlands are ecosystems with unique hydrological properties, storing about 400-500 Gt of carbon. As the production rate of organic material is higher than its decomposition, which is slowed down in the wet and cold environment, peatlands store a great amount of carbon. Carbon assimilated from the atmosphere during photosynthesis by plants is partly lost due to autotrophic and heterotrophic respiration as carbon dioxide (CO2), as methane (CH4) or/and as dissolved organic carbon. The proportion of each carbon component is strongly controlled by environmental conditions as temperature, radiation, precipitation and subsequent water table changes and active role of vegetation. With predicted changes in the global climate, changes in the influence of environmental parameters on peatland ecology are expected. Thus thorough research is essential for a better understanding of mechanisms which influence carbon cycling in peatlands. In this thesis, various components of the carbon cycle were studied at two boreal peatland sites (Ust Pojeg in Komi Republic in Russian Federation and Salmisuo in Eastern Finland) using the micrometeorological eddy covariance method. The focus was placed on the temporal changes of the controlling parameters, ranging from a few days during short snow thawing through the rest of the year. At the Salmisuo site, two measurement seasons allowed to address possible inter-annual variation. We observed that diurnal variations in methane emissions which are typically controlled by vegetation during the growing season, might appear during snow melt as a result of the influence of physical factors rather than biological factors. The diurnal pattern in methane emissions was caused by the interaction of the freeze-thaw cycle and near urface turbulence. During the night time, when surface temperatures fell below zero and caused formation of the ice layer, methane emissions were only around 0.8 mg m-2 h-1, however after the increase in temperature and melting of the ice layer they reached peak values of around 3 mg m-2 h-1. The near surface turbulence had a significant influence on methane emissions, however only after the thawing of the ice layer. The effect of changing environmental parameters over the year was further elaborated on a carbon dioxide time series from the Ust Pojeg site. The generally accepted effects of temperature on ecosystem respiration during the night are not stable throughout the year and can change rapidly during the growing season. Using moving window regression analysis I could show that the strength of the exponential relationship between ecosystem respiration and temperature is changing during the year. This was in correspondence with recent publications elaborating on sub-seasonal changes of the controlling parameters. In general, measurements from the Ust Pojeg site represent estimates of annual CO2 and CH4 fluxes with an annual carbon balance of -94.5 g C m-2 and a new contribution to the quantification of trace gases emissions from a Russian boreal peatland. The inter-annual comparison of net ecosystem exchange (NEE) measurements with previously published data on CH4 and DOC flux from the Salmisuo site showed that the NEE of CO2 is the most important component of the carbon balance at this site. However, primary production was not responsible for the inter-annual changes in NEE. Rather, the effects of water table position during the year had a strong influence on ecosystem respiration, which was probably due to the influence on soil respiration, and higher NEE was observed during the year with smaller primary production, but higher water table levels. The effects of higher precipitation and higher water table during the wet year were shown to increase CH4 flux and the export of DOC, but their effects could not compensate for changes in ecosystem respiration. In the presented thesis intra- and inter- annual changes in carbon flux components and their controls, in our case attributed mostly to hydrological conditions in combination with other environmental parameters as temperature and the role of peatland vegetation, are discussed.
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.
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
Peatlands cover only about 3% of the terrestrial surface but are significant players in the global carbon (C) cycle and the climate system, since they store roughly one quarter of the global soil carbon (C) and are among the largest natural sources of methane (CH4). Since the resulting feedbacks on the climate system are uncertain, research efforts aim at identifying key processes and quantifying the C exchange from ecosystem to regional and global scales. To identify peatland ecosystem dynamics requires analysis of yet different scales. The key scale for their C dynamics is the microform scale, which is the smallest entity of the system. To estimate ecosystem dynamics, up-scaling from the microform scale is needed. Up-scaling demands (1) a correct estimation of the spatial heterogeneity and (2) the correct aggregation. In this thesis, the traditional spatial weighting of microform fluxes by the microform distribution is evaluated by (1) analyzing the flux calculation procedure, (2) investigating the effect of the resolution of the landcover maps on the up-scaling and by (3) cross-evaluating the up-scaling result with the directly measured ecosystem flux. Eventually, it is evaluated how these dynamics are considered in a mechanistic ecosystem model (LPJ-WHyMe). CH4 fluxes were measured on the microform scale with the closed chamber technique and on the ecosystem scale with the eddy covariance (EC) technique. The quantification of microform fluxes relies on the correct flux calculation. Since only few gas samples are taken during the closure period, traditionally the linear regression is applied when calculating CH4 fluxes from chamber measurements. Still, the chamber itself affects the diffusion gradient between peat and chamber atmosphere resulting in a theoretically non-linear concentration increase in the chamber. Using data with six data points per measurement from different microform types it is tested whether the linear or exponential regression fits the data better. In the majority of cases, the linear regression fits best. However, the exponential concentration change might still not be detectable resulting in an underestimation of the ’real‘ flux and the test of different techniqes to estimate the slope of a non-linear function with small sample amounts is recommended. To define the spatial heterogeneity of the peatland surface, the application of remote sensing techniques offer the advantage of supplying area-wide information with less uncertainty when compared to vegetation mapping along transects. However, the required resolution to resolve the microform distribution is <1m which in this study was derived from near-aerial photography. Besides for up-scaling, the resulting high-resolution landcover map was used in combination with a footprint model to analyze (1) the effect of landcover on the directly measured ecosystem flux and (2) its spatial representativeness. It was shown that fluctuations of the measured ecosystem flux over periods of several days could be explained by changes of the landcover composition in the source area of the EC measurements. The estimated budget was slightly biased towards the higher emissions from lawns which could be corrected. Still, the seasonal ecosystem CH4 budget was higher than the estimate derived from the up-scaling of microform fluxes. This is most likely due to an underestimation of microform fluxes by the chamber technique. Generally, the budget estimate derived from EC measurements was more accurate, i.e., characterized by less uncertainty than the up-scaled estimate. The developed approach depends on (1) identification and accurate measurements of all relevant microform types and (2) on spatial information which should be smaller than the footprint size of the EC measurements and available on the scale relevant for the studied process, i.e., the microform scale. The demonstrated effect of microform dynamics on the ecosystem flux highlights the importance of dealing with spatial heterogeneity of ecosystems in mechanistic modelling. For example, in LPJ-WHyMe, the ecosystem flux is simulated with mean input variables as water table level. To investigate its model performance, flux data from the rather homogeneous peatland margin and the more heterogeneous peatland centre were compared with the model output. At the homogeneous peatland margin, the ecosystem flux was clearly dominated (with a contribution of 91%) by one microform flux. In this case, one water table level as input variable could be used to estimate the ecosystem flux. However, for a heterogeneous site such as the peatland centre in this study, only one mean water table would simulate a mean microform flux but not the ecosystem flux. Consequently, it is recommended to incorporate at least one high-emitting and one low-emitting microform type in the model to increase the model performance.
This dissertation evaluates the effects of site conditions and livestock grazing on the vegetation of Azerbaijan’s winter pastures. We improved methods to estimate grazing intensity in vast rangelands and enhanced an approach to detect discontinuities in vegetation changes along environmental gradients. All analyses use field data from the semi-arid rangelands of Gobustan and Jeiranchel, at the foothills of the Greater Caucasus mountains. The data set comprises 313 vegetation relevés, each sized 100 m², based on a pre-stratification using topographical parameters. Additionally, we included data from farm transects and exclosure experiments. For each plot, selected site and soil variables were determined. VEGETATION AND SITE CONDITIONS: By means of cluster analysis, we derived 16 vegetation types with a total of 272 vascular plant species. Our vegetation classification, which is closely linked to site conditions, is an important groundwork for adapted rangeland management and monitoring. The study areas are dominated by semi-deserts with a high coverage of dwarf shrubs, and the mean number of vascular plant species was found to be about 28 per 100 m². According to ordination analysis (NMDS), species composition changes primarily along the altitudinal gradient, gradually proceeding from the Salsola nodulosa semi-deserts of the lowest parts (below 300 m a.s.l.) to the Salsola ericoides and Artemisia lerchiana semi-deserts of the upper regions (300–650 m a.s.l.). Soil salinity and carbonate concentration decrease as altitude increases. A second gradient reflects grazing intensity. One plant community that is typically found on intensively grazed sites in the vicinity of farmyards stands apart from the rest, which are subject to lower grazing and trampling pressures. A third factor that differentiates plant communities is the sand concentration of the soils. Additionally, communities that occur on steep slopes differ from communities that occur on level terrain. EXCLOSURE EXPERIMENTS: Exclosure experiments revealed that short-time abandonment of grazing leads to an increase in the number of annual species, in vegetation coverage, and in the heights of forbs and grasses. Clipping experiments indicated that the herbaceous species show hardly any compensatory growth in response to grazing. ESTIMATING GRAZING INTENSITY: A recurrent theoretical problem in rangeland research is the spatial modelling of grazing intensity around grazing hotspots like farms or watering places, the so called piospheres. In a widely used approach, grazing intensity is assumed to decrease in direct proportion to the distance from a hotspot. The resulting response patterns, which relate characteristics of the vegetation or site conditions to grazing intensity, are often nonlinear, and have been interpreted as indicating threshold changes or diff erent state-and-transitions along grazing gradients. However, we show that these ‘thresholds’ are usually geometrical artefacts. Taking into account the concentric structure of grazing hotspots, we suggest a new approach that approximates grazing intensity as the ratio of the total number of livestock kept at the farm to the distance between a given plot and the hotspot centre. Our approach is a simple yet significant improvement over current approaches because it enables us to merge or compare data from different sampling sites and because the approximation is in direct proportion to other grazing indicators like dung density or soil salinity. SPECIES TURNOVER PATTERNS: Combining our new grazing pressure model with species presence/absence data, we modelled vascular plant species responses, patterns of species richness and species turnover along grazing gradients on farm transects in Gobustan. The derived typical species response pattern along the finite grazing gradient is a sigmoid decrease. Species richness declines monotonically with increasing grazing intensity and thus conforms to generally acknowledged assumptions on the relationship between species richness and grazing pressure in semi-arid rangelands. Species turnover along the gradient was calculated using the slopes of species response curves. At first sight, the resulting pattern gives evidence for a discontinuous change. However, it ranges within the 95 % confidence interval of a null model based on assumptions of the individualistic continuum concept. Thus, species composition seems to change continuously along grazing gradients in Gobustan. This new null model approach can probably be adapted and applied to all ecological gradients and is useful for the validation of individualcontinuum or community concepts.
Vegetation dynamics and carbon sequestration of Holocene alder (Alnus glutinosa) carrs of NE Germany
(2010)
Erlenwälder auf Moorstandorten werden oft als Zeichen von Moordegradation und Torfoxidation gewertet, aber erlenholzreiche Moorablagerungen (teilweise mehrere Meter tief) sind unter anderem in Nordostdeutschland weit verbreitet. Die Genese von Erlen-Holztorfen wurde bisher überwiegend durch das Konzept der „Verdrängungstorfbildung“ erklärt. Hierbei wird ein von gehölzfreier Vegetation akkumulierter Torf nach einer Grundwasserabsenkung durch nachträglich einwachsende Baumwurzeln verändert. Dieses Prinzip ist aber auf tiefgründige Erlen-Holztorfe nicht übertragbar, da Alnus glutinosa auf naturnahen Moorstandorten meist nur wenige Dezimeter tief wurzelt. Anliegen der vorliegenden Dissertation mit dem Titel „Vegetation dynamics and carbon sequestration of Holocene alder (Alnus glutinosa) carrs in NE Germany“ war die Identifizierung torfbildender Erlenwälder. Die torfbildende Vegetation, die Wasserstände während der Torfbildung und die Vegetationsdynamik dieser bewaldeten Niedermoore wurden durch Analysen von Makrofossilien, Pollen und sonstigen Mikrofossilien (u.a. Pilz-, Pflanzen-, und tierische Reste) rekonstruiert. Hierbei wurden in enger Kooperation mit dem Promotionsvorhaben von Frau Anja Prager (Non-pollen palynomorphs [NPPs] from modern alder carrs [NE Germany] - Tools for reconstructing past vegetation and site conditions) ca. 150 bisher unbekannte Mikrofossilien beschrieben und teilweise identifiziert. Die Datenauswertung wurde anhand von Fossilien-Diagrammen und statistischen Methoden (DCA, Clusteranalysis; Broken Stick Analysis) durchgeführt. Zur Altersbestimmung erfolgten 14C-AMS-Datierungen und der Kohlenstoffgehalt wurde über die Bestimmung der Trockenrohdichte ermittelt, wobei ein durchschnittlicher Kohlenstoffanteil von 56% angenommen wurde. Die untersuchten Erlen-Holztorfe wurden überwiegend direkt in Erlenwäldern abgelagert („Echter Bruchwaldtorf“); sind aber auch teilweise als Verdrängungstorfe aus vorherigen Seggentorfen entstanden oder in von Weiden dominierten Gehölzen gebildet worden. Die jährlichen Medianwasserstände der torfbildenden Erlenwälder lagen einerseits über Flur („sehr nass“-„very wet“) und zum anderen 0 bis 10 cm unter Flur („nass“ - „wet“). Die Vegetationszusammensetzung der sehr nassen Erlenwälder ähnelte teilweise dem Wasserfeder-Erlen-Wald und in einem Fall dem Zweizahn-Erlen-Bruchgehölz. Die nassen Erlenwälder konnten nicht auf der Ebene von Vegetationsformen rekonstruiert werden; charakteristisch war das häufige Auftreten von Urtica und eine Carex-dominierte Krautschicht. Über einen Vergleich der Mikrofossilien der Erlenholz-Tofe mit Mikrofossilien von Oberflächenproben aus rezenten Erlenwäldern konnten die Medianwasserstände nasser, torf-akkumulierender Erlenwälder auf 0-10 cm unter Flur festgelegt werden. Alle untersuchten Profile zeigten eine zyklische Bewaldung mit Zwischenphasen von Offenvegetation (meist Seggenriede). Als Bindeglieder zwischen Erlenwald und Seggenried traten teilweise Weidengebüsche auf, welche sich mitunter auch langfristiger etablieren konnten. Die zyklische Vegetationsentwicklung von Seggenrieden, Weidengebüschen und Erlenwäldern basierte fast ausschließlich auf einem schwankenden Wasserangebot im Moor. Dieses war fast immer die Folge von zyklischen Ent- und Wiederbewaldungen der umliegenden, grundwasserfernen Standorte durch den Menschen. Die „Echten Bruchwaldtorfe“ sind unter verschiedenen hydrologischen Bedingungen entstanden (Verlandungs-, Versumpfungs-, Überrieselungs- und Überflutungsmoor). Die Kohlenstoff-Akkumulationsraten („LORCA“-long-term apparent rate of carbon accumulation) liegen zwischen 31-44 g C m-2 yr-1 in sehr nassen und 50-81 g C m-2 yr-1 in nassen Erlenwäldern. Die höheren Akkumulationsraten in nassen Erlenwäldern können durch die deutlich steigende Produktivität von Erlen-Wäldern schon bei leicht sinkenden mittleren Wasserständen erklärt werden. Eine Verringerung der durchschnittlichen Wasserstände von über Flur zu leicht unter Flur führt annähernd zu einer Verdopplung der Primärproduktion von oberirdischem Holz und Wurzelholz. Dadurch gelangt auch ein größerer Anteil von Wurzelholz in den dauerhaft wassergesättigten Bereich. Da mit sinkenden Wasserständen auch die oxidative Zersetzung zunimmt, ist für die teilweise sehr hohen Torfakkumulationsraten in Erlenwäldern die Zersetzungsresistenz von Holz (Lignin) von zentraler Bedeutung. Die Akkumulationsraten nasser Erlenwälder übersteigen die borealer Waldmoore deutlich und erreichen die Größenordnung der Kohlenstoffakkumulation in den tropischen Waldmooren Süddostasiens. Die vorliegende Dissertation belegt die weitverbreitete und oft umfangreiche Torf- bzw. Kohlenstoffakkumulation in Holozänen Erlen-Wäldern Nordostdeutschlands.
To uncover the genetic structure of Populus euphratica forests along the Tarim River in Xinjiang, China, a PCR set of eight microsatellite markers was established. 18 primer pairs originally developed for P. tremuloides and P. trichocarpa were screened for amplification in P. euphratica. The eight most variable loci were selected for further genotyping experiments. Subsequently, two multiplex PCR assays, each containing four loci, were set up and optimized. Three populations containing altogether 436 trees were used to characterize the selected loci. The set was found to be moderately polymorphic (mean expected heterozygosity = 0.57). The resolution was sufficient to discriminate even siblings with high confidence (PID = 1.81x10-5). Cumulative exclusion probabilities were 0.89 (single parent), 0.98 (paternity), and 1.00 (parent pair) and proved the set’s suitability for parentage analysis. Practical and theoretical analysis of consequences of genotyping errors in this semi-clonal plant showed that the vast majority of errors (62.1%) lead to division of identical genotypes. Merging of different genotypes was found to be a very rare case (0.4%). This always leads to an overestimation of genotypes. A similarity threshold of one allele difference between two genotypes to be regarded as being identical lead to an underestimation of clonal richness and genotype number of one per cent compared to an overestimation of more than 20 per cent without such a threshold. Allowing a certain amount of variation is therefore expected to reflect the clonal structure better than an analysis that considers exact matches only. Using a combination of morphological and molecular analyses, a first study demonstrated that root suckers are clearly distinguished from seedlings in their root architecture. Root suckering starts when trees are 10–15 years old and bridges distances of up to 40 m at a time. Root suckers depend on their parent tree for at least five years and are expected to have a higher mortality than generatively grown trees. Molecular analysis of old growth stands revealed a highly variable proportion of clonal growth between different stands. In the study area, the proportion of clonality decreases with distance to the main river bed (R = 0.31 at the site closest to the main river, R = 0.97 at the site farthest away from the river). An analysis of the history of river movements at different sites indicates a dependency of clonal growth on the frequency of ground water replenishment by the yearly floods. Genetic differentiation among the stands in the study area is low (FST = 0.055), and isolation by distance was not detectable (P = 0.058). Also, the river does not function as a vector for directed gene flow in downstream direction (P > 0.11). The forests are therefore considered to be one large panmictic metapopulation with unrestricted gene flow. Clonal growth does not lead to higher final stand densities (P = 0.99) and is obviously not of crucial importance for stand survival. Furthermore, analysis of vitality measures and size differences indicate that root suckers are in disadvantage both in vitality and in survival rate compared to seedlings. In this light, a possible function of clonal growth as a luxury strategy to enhance a genetic individual’s reproduction success under good site conditions can be discussed. The genetic structure of the (meta)population bears direct implications for management and conversation of the Tugai forest in Xinjiang. Due to the low degree of differentiation and the unhindered gene flow even small, fragmented, or isolated populations have conservational value, thereby clearly answering the SLOSS question (a single large or several small protected areas) in the latter sense. More than that, non-clonal stands with the highest amount of genotypic diversity can be easily identified on satellite and aerial images. Selection of such stands for conservation is therefore possible without expensive and time-consuming molecular analyses.