Open Access

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.

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.