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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.
Drained peatlands are significant sources of the greenhouse gas (GHG) carbon dioxide.Rewetting is a proven strategy used to protect carbon stocks; however, it can lead to increasedemissions of the potent GHG methane. The response to rewetting of soil microbiomes as drivers ofthese processes is poorly understood, as are the biotic and abiotic factors that control communitycomposition. We analyzed the pro- and eukaryotic microbiomes of three contrasting pairs ofminerotrophic fens subject to decade-long drainage and subsequent long-term rewetting. Abiotic soilproperties including moisture, dissolved organic matter, methane fluxes, and ecosystem respirationrates were also determined. The composition of the microbiomes was fen-type-specific, but allrewetted sites showed higher abundances of anaerobic taxa compared to drained sites. Based onmulti-variate statistics and network analyses, we identified soil moisture as a major driver ofcommunity composition. Furthermore, salinity drove the separation between coastal and freshwaterfen communities. Methanogens were more than 10-fold more abundant in rewetted than in drainedsites, while their abundance was lowest in the coastal fen, likely due to competition with sulfatereducers. The microbiome compositions were reflected in methane fluxes from the sites. Our resultsshed light on the factors that structure fen microbiomes via environmental filtering.
Summary
Raised bogs are raised above the regional ground water level and only fed by rain. To be able to be ‘high yet wet’, they have developed intricate self-regulation mechanisms. The most important of these mechanisms in Sphagnum raised bogs is the acrotelm. This upper layer of peat and vegetation shows a distinct gradient from large pores at the top to small ones at the bottom. When the water table drops, water can only flow through small pores and run-off is effectively reduced. Still, the acrotelm has high storativity, which restricts water table fluctuations to this layer. The acrotelm presents a compromise between small pore space to minimise run-off and large pore space to maximise storativity.
These two ‘tasks’ of the acrotelm can also be split in horizontal space. The dry hummocks on the surface of a raised bog have much lower transmissivity and storativity than the wet hollows. These two surface elements can be organised in strikingly regular patterns of elongated strings of hummocks and so-called flarks of hollows arranged perpendicular to the slope. The origin of regular string-flark patterns was studied in chapter 2.
In a simple, heuristic, spatially explicit simulation model, each cell in a square grid is randomly declared either a hummock or a hollow. The grid is on a slope and water is allowed to flow from each cell to its four neighbouring cells until water tables stabilise. Then, every cells changes state based on its water table: if the water table is low, the cell will more likely be a hummock, if it is high a hollow. If the parameter settings are right, this procedure will result in regular striping patters. Chapter 2 was the first study to search the parameter space for settings that result in patterning. Systematic analysis showed that the parameter space in which patterns develop is sharply delineated, indicating positive feedback mechanisms. Once a pattern develops, water tables in the model diverge: the flarks become wetter and the strings become drier. The hummock and hollow cells have combined into higher order units, the strings and flarks, that emerge as more effective in regulating water flow.
Applying the same model for the first time to the dome shape of a raised bog (capther 3), pattern formation appeared to occur on three organisational levels. On the lowest nanotope level, we find strings and flarks, again combined in a string-flark complex, but this complex occurs alongside an all hummock rand and a wet, featureless central plateau. These three mire sites constitute the second, microtope level. On the third, mesotope level we can distinguish different types of bog domes that are defined by different combinations of mire sites. Classical literature on peatland classification used the same approach to classify bog domes, but also other and larger peatland areas. Our modelling shows that the mire sites actually exist as functional units in a self-organising bog and that they are not mere human classification constructs.
To test our ideas on self-regulation and -organisation as well as the modelling results, we studied a patterned raised bog in Tierra del Fuego in terms of its plant cover, its water and its peat (chapter 4). The studied bog is almost completely covered by Sphagnum magellanicum. In northern peatlands the different niches from high and dry hummock to low and wet hollow are filled by different species of Sphagnum, each with their specific growth form. In the studied bog, all niches from dry to wet are occupied by Spagnum magellanicum, showing a wide range in growth form. Yet, we found it has only limited genetic diversity that is not linked to these niches and growth forms.
Detailed measurements were made along a 498 m long transect crossing the bog, including water table measurements (every metre), vegetation relevés (2 × 2 m), hydraulic conductivity just below the water table (n = 246) and hydraulic conductivity in 11 depth profiles to a depth of 2 m (n = 291); the degree of humification of the corresponding peat was assessed in conjunction with the hydraulic conductivity measurements (n = 537). Sphagnum magellanicum moss samples were collected every 2 m along this transect and genotyped (n = 242). In addition, along short, 26 m long transects crossing strings and flarks water table and hydraulic conductivity just below the water table were measured every metre. Sphagnum growth forms were assessed and the vegetation of the entire bog was mapped in 10 × 10 m relevés (n = 3322). The simulation model was applied to a generalised form of the bog.
There was an almost perfect match between plant cover and water tables. As expected, hydraulic conductivity just below the water table was about 7 times lower in the dry than in the wet measurement spots. These observations are valid on the low level of the nanotope: hummocks and hollows or dry and wet spots in general. Other observations only made sense on higher organisational levels like the microtope. For example, the hydraulic conductivity profiles of the string-flark complex show a gentler gradient than those of the plateau and the rand. The peat in the string-flark complex originates on this level of organisation and combines characteristic of both its dry and wet constituents. On the mesotope level, the simulation model produced a good match with the patterns on the actual dome. We analysed the abundant data on different organisational levels ranging from small single plants to the large mire system of fens and domes of which the studied dome is part. We looked for commonalities and discrepancies to help us better understand how the close link between plants, water and peat functions in reality.
The results of all measurements were integrated with information from literature and discussed in the framework of a self-regulating and -organising raised bog. The field measurements considerably sharpened existing theoretical considerations. We identified nineteen hydrological feedback mechanisms. We found that the various mechanisms overlap both in space and time, which means there is redundancy in the self-regulation capacity of the system. Raised bogs, when in a natural state, are among the most resilient ecosystems known; resilience that is provided by feedbacks and back-up systems to these feedbacks.
We used our ideas and insights on self-regulation in Sphagnum raised bogs to look for similar patterns and responses in tropical domed peat swamps (chapter 5). We know that in Sphagnum raised bogs the tasks of the acrotelm can be split in horizontal space. When we looked at undisturbed tropical peat swamps with this new search image, we recognised how hummocks of root material and litter and particularly buttress roots regulate run-off and storage of water. We could identify several additional hydrological feedback loops that mirror the mechanisms found in Sphagnum raised bogs.
This thesis considerably advances our understanding of raised bogs as self-organising systems. The patterns and processes they display on multiple levels can be seen as a form of ecosystem diversity that exists independent of species and genetic diversity.
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.
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.
We studied a pristine, prominently patterned raised bog in Tierra del Fuego, Argentina, to disentangle the complex interactions among plants and water and peat. The studied bog lacks complicating features often posed by other bogs. It is completely dominated by Sphagnum magellanicum, which covers all niches and growth forms, and is joined by only a dozen higher plant species; it is entirely ombrotrophic with very sharp borders to the surrounding fen; it has only one type of peat that shows an only limited range in degree of decomposition; and it is situated in a very even climate with minimal differences in rainfall and temperature over the year. We present detailed measurements along a 498-m-long transect crossing the bog, including water table measurements (n = 498), contiguous vegetation relevés (n = 248), hydraulic conductivity just below the water table (n = 246), and hydraulic conductivity in 11 depth profiles (n = 291); degree of humification of the corresponding peat was assessed in conjunction with the hydraulic conductivity measurements (n = 537). Sphagnum magellanicum moss samples were collected every 2 m along this transect as well and genotyped (n = 242). In addition, along short, 26-m-long transects crossing strings and flarks water table and hydraulic conductivity just below the water table were measured every meter. Sphagnum growth forms were assessed, and the vegetation of the entire bog was mapped in 10 × 10-m relevés (n = 3322). A simulation model was applied to a generalized shape of the bog and produced surface patterns that well matched those seen in the field. The results were integrated with information from the literature and discussed in the framework of a self-regulating and self-organizing raised bog. We identified 19 hydrological feedback mechanisms. We found that the various mechanisms overlap in both space and time, which means there is redundancy in the self-regulation of the system. Raised bogs, when in a natural state, are among the most resilient ecosystems known; resilience that is provided by feedbacks and backup systems to these feedbacks.