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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.
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.
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.