Refine
Has Fulltext
- yes (3) (remove)
Document Type
- Doctoral Thesis (3)
Language
- English (3)
Is part of the Bibliography
- yes (3)
Keywords
- Nitrogen (3) (remove)
Chemical transformations and hydraulic processes in soil and groundwater often lead to an apparent retention of nitrate in lowland catchments. Models are needed to evaluate the interaction of these processes in space and time. The objectives of this study are i) to develop a specific modelling approach by combining selected modelling tools simulating N-transport and turnover in soils and groundwater of lowland catchments, ii) to study interactions between catchment properties and nitrogen transport. Special attention was paid to potential N-loads to surface waters. The modelling approach combines various submodels for water flow and solute transport in soil and groundwater: The soil-water- and nitrogen-model mRISK-N, the groundwater flow model MODFLOW and the solute transport model RT3D. In order to investigate interactions of N-transport and catchment characteristics, the distribution and availability of reaction partners have to be taken into account. Therefore, a special reaction-module is developed, which simulates various chemical processes in groundwater, such as the degradation of organic matter by oxygen, nitrate, sulphate or pyrite oxidation by oxygen and nitrate. The model approach is applied to different simulation, focussing on specific submodels. All simulation studies are based on field data from the Schaugraben catchment, a pleistocene catchment of approximately 25 km², close to Osterburg(Altmark) in the North of Saxony-Anhalt. The following modelling studies have been carried out: i) evaluation of the soil-water- and nitrogen-model based on lysimeter data, ii) modelling of a field scale tracer experiment on nitrate transport and turnover in the groundwater as a first application of the reaction module, iii) evaluation of interactions between hydraulic and chemical aquifer properties in a two-dimensional groundwater transect, iv) modelling of distributed groundwater recharge and soil nitrogen leaching in the study area, to be used as input data for subsequent groundwater simulations, v) study of groundwater nitrate distribution and nitrate breakthrough to the surface water system in the Schaugraben catchment area and a subcatchment, using three-dimensional modelling of reactive groundwater transport. The various model applications prove the model to be capable of simulating interactions between transport, turnover and hydraulic and chemical catchment properties. The distribution of nitrate in the sediment and the resulting loads to surface waters are strongly affected by the amount of reactive substances and by the residence time within the aquifer. In the Schaugraben catchment simulations, it is found that a period of 70 years is needed to raise the average seepage concentrations of nitrate to a level corresponding to the given input situation, if no reactions are considered. Under reactive transport conditions, nitrate concentrations are reduced effectively. Simulation results show that groundwater exfiltration does not contribute considerably to the nitrate pollution of surface waters, as most nitrate entering soils and groundwater is lost by denitrification. Additional sources, such as direct inputs or tile drains have to be taken into account to explain surface water loads. The prognostic value of the models for the study site is limited by uncertainties of input data and estimation of model parameters. Nevertheless, the modelling approach is a useful aid for the identification of source and sink areas of nitrate pollution as well as the investigation of system response to management measures or landuse changes with scenario simulations. The modelling approach assists in the interpretation of observed data, as it allows to integrate local observations into a spatial and temporal framework.
Soils contain a large amount of carbon (C) that is a critical regulator of the global C budget. Already small changes in the processes governing soil C cycling have the potential to release considerable amounts of CO2, a greenhouse gas (GHG), adding additional radiative forcing to the atmosphere and hence to changing climate. Increased temperatures will probably create a feedback, causing soils to release more GHGs. Furthermore changes in soil C balance impact soil fertility and soil quality, potentially degrading soils and reducing soils function as important resource. Consequently the assessment of soil C dynamics under present, recent past and future environmental conditions is not only of scientific interest and requires an integrated consideration of main factors and processes governing soil C dynamics. To perform this assessment an eco-hydrological modelling tool was used and extended by a process-based description of coupled soil carbon and nitrogen turnover. The extended model aims at delivering sound information on soil C storage changes beside changes in water quality, quantity and vegetation growth under global change impacts in meso- to macro-scale river basins, exemplary demonstrated for a Central European river basin (the Elbe). As a result this study: ▪ Provides information on joint effects of land-use (land cover and land management) and climate changes on croplands soil C balance in the Elbe river basin (Central Europe) presently and in the future. ▪ Evaluates which processes, and at what level of process detail, have to be considered to perform an integrated simulation of soil C dynamics at the meso- to macro-scale and demonstrates the model’s capability to simulate these processes compared to observations. ▪ Proposes a process description relating soil C pools and turnover properties to readily measurable quantities. This reduces the number of model parameters, enhances the comparability of model results to observations, and delivers same performance simulating long-term soil C dynamics as other models. ▪ Presents an extensive assessment of the parameter and input data uncertainty and their importance both temporally and spatially on modelling soil C dynamics. For the basin scale assessments it is estimated that croplands in the Elbe basin currently act as a net source of carbon (net annual C flux of 11 g C m-2 yr-1, 1.57 106 tons CO2 yr-1 entire croplands on average). Although this highly depends on the amount of harvest by-products remaining on the field. Future anticipated climate change and observed climate change in the basin already accelerates soil C loss and increases source strengths (additional 3.2 g C m-2 yr-1, 0.48 106 tons CO2 yr-1 entire croplands). But anticipated changes of agro-economic conditions, translating to altered crop share distributions, display stronger effects on soil C storage than climate change. Depending on future use of land expected to fall out of agricultural use in the future (~ 30 % of croplands area as “surplus” land), the basin either considerably looses soil C and the net annual C flux to the atmosphere increases (surplus used as black fallow) or the basin converts to a net sink of C (sequestering 0.44 106 tons CO2 yr-1 under extensified use as ley-arable) or reacts with decrease in source strength when using bioenergy crops. Bioenergy crops additionally offer a considerable potential for fossil fuel substitution (~37 PJ, 1015 J per year), whereas the basin wide use of harvest by-products for energy generation has to be seen critically although offering an annual energy potential of approximately 125 PJ. Harvest by-products play a central role in soil C reproduction and a percentage between 50 and 80 % should remain on the fields in order to maintain soil quality and fertility. The established modelling tool allows quantifying climate, land use and major land management impacts on soil C balance. New is that the SOM turnover description is embedded in an eco-hydrological river basin model, allowing an integrated consideration of water quantity, water quality, vegetation growth, agricultural productivity and soil carbon changes under different environmental conditions. The methodology and assessment presented here demonstrates the potential for integrated assessment of soil C dynamics alongside with other ecosystem services under global change impacts and provides information on the potentials of soils for climate change mitigation (soil C sequestration) and on their soil fertility status.
Nitrogen is an essential macronutrient for plants and nitrogen fertilizers are indispensable for modern agriculture. Unfortunately, we know too little about how plants regulate their use of soil nitrogen, to maximize fertilizers-N use by crops and pastures. This project took a dual approach, involving forward and reverse genetics, to identify N-regulators in plants, which may prove useful in the future to improve nitrogen-use efficiency in agriculture. To identify nitrogen-regulated transcription factor genes in Arabidopsis that may control N-use efficiency we developed a unique resource for qRT-PCR measurements on all Arabidpsis transcription factor genes. Using closely spaced, gene-specific primer pairs and SYBR® Green to monitor amplification of double-stranded DNA, transcript levels of 83% of all target genes could be measured in roots or shoots of young Arabidopsis wild-type plants. Only 4% of reactions produced non-specific PCR products, and 13% of TF transcripts were undetectable in these organs. Measurements of transcript abundance were quantitative over six orders of magnitude, with a detection limit equivalent to one transcript molecule in 1000 cells. Transcript levels for different TF genes ranged between 0.001-100 copies per cell. Real-time RT-PCR revealed 26 root-specific and 39 shoot-specific TF genes, most of which have not been identified as organ-specific previously. An enlarged and improved version of the TF qRT-PCR platform contains now primer pairs for 2256 Arabidopsis TF genes, representing 53 gene families and sub-families arrayed on six 384-well plates. Set-up of real-time PCR reactions is now fully robotized. One researcher is able to measure expression of all 2256 TF genes in a single biological sample in a just one working day. The Arabidopsis qRT-PCT platform was successfully used to identify 37 TF genes which transcriptionaly responded at the transcriptional level to N-deprivation or to nitrate per se. Most of these genes have not been characterized previously. Further selection of TF genes based on the responses of selected candidates to other macronutrients and abiotic stresses allowed to distinguish between TFs regulated (i) specifically by nitrogen (29 genes) (ii) regulated by general macronutrient or by salt and osmotic stress (6 genes), and (iii) responding to all major macronutrients and to abiotic stresses. Most of the N-regulated TF genes were also regulated by carbon. Further characterization of sixteen selected TF genes, revealed: (i) lack of transcriptional response to organic nitrogen, (ii) two major types of kinetics of induction by nitrate, (iii) specific responses for the majority of the genes to nitrate but not downstream products of nitrate assimilation. All sixteen TF genes were cloned into binary vectors for constitutive and ethanol inducible over expression, and the first generation of transgenic plants were obtained for almost all of them. Some of the plants constitutively over expressing TF genes under control of the 35S promoter revealed visible phenotypes in T1 generation. Homozygous T-DNA knock out lines were also obtained for many of the candidate TF genes. So far, one knock out line revealed a visible phenotype: retardation of flowering time. A forward genetic approach using an Arabidopsis ATNRT2.1 promoter : Luciferase reporter line, resulted in identification of eleven EMS mutant reporter lines affected in induction of ATNRT2.1 expression by nitrate. These lines could by divided in the following classes according to expression of other genes involved in primary nitrogen and carbon metabolism: (i) lines affected exclusively in nitrate transport, (ii) those affected in nitrate transport, acquisition, but also in glycolysis and oxidative pentose pathway, (iii) mutants affected moderately in nitrate transport, oxidative pentose pathway and glycolysis but not in primary nitrate assimilation. Thus, several different N-regulatory genes may have been mutated in this set of mutants. Map-based cloning has begun to identify the genes affected in these mutants.