RECOVERING LOCALIZED INFORMATION ON AGRICULTURAL STRUCTURE UNDERLYING DATA CONFIDENTIALITY REGULATIONS - POTENTIALS OF DIFFERENT DATA AGGREGATION AND SEGREGATION TECHNIQUES

The modelling and information system RAUMIS is used for policy impact assessment to measure the impact of agriculture on the environment. The county level resolution often limits the analysis and a further disaggregation at the municipality level would reduce aggregation bias and improve the assessment. Although the necessary data exists in Germany, data protection rules (DPR) prohibit their direct use. With methods such as the Locally Weighted Averages (LWA), and with aggregation singling production activities into larger groups of activities, the data at the municipality level can be made publicly available. However, this reduces the information content and introduces an additional error. This paper’s aim is to investigate how much information is necessary to satisfactorily estimate Germany-wide production activity levels at the municipality level and whether the data requirements are still in compliance with the DPR. We apply Highest Posterior Density (HPD) estimation, which is easily able to include sample information as prior. We tested different prior information content at the municipality level. However, the goodness of the developed estimation approach can only be evaluated having knowledge about the population. Because the real population is not known to us, we took advantage of the special situation in Bavaria and derived a pseudo population for that region. This is used to draw information conforming to DPR for our estimation and to evaluate the resulting estimates. We found that the proposed approach is capable of adequately estimating most activities without violating the DPR. These findings allow us to extend the approach towards the Germany-wide municipality coverage in RAUMIS.Highest Posterior Density estimator (HPD), RAUMIS, locally weighted average (LWA), Research Methods/ Statistical Methods,

Reducing GHG Emissions by Abandoning Agricultural Land use on Organic Soils - A Cost Assessment

Roughly 6.5% of the German utilized agricultural area is located on organic soils (fens and bogs). Nevertheless, the drainage of these areas in order to allow their agricultural utilization causes roughly a third of the greenhouse gas emissions (GHG) of the German agricultural sector, being equivalent to 4% of the total German GHG emissions. Obviously, German policies trying to reduce the GHG emissions successfully must tackle this issue. The abandonment of the cultivation of organic soils would be an effective policy to reduce the GHG emissions however the question remains whether it is an efficient measure compared with the other options? In the paper we assess the mitigation costs on the basis of the standard gross margin and tenure of the agriculturally used peatlands and with the results obtained from sector model RAUMIS. Without engineering and transaction costs the mitigation costs are in the magnitude of 10 to 45 € per to of CO2eq. This makes rewetting of peatlands at least in the medium and long run a fairly efficient options for reducing GHG emissions, especially as the implications on the sector due to reallocation affects are fairly small.GHG-Mitigation, Landuse, peatland, Environmental Economics and Policy, Land Economics/Use,

MUNICIPALITY DISAGGREGATION OF GERMAN'S AGRICULTURAL SECTOR MODEL RAUMIS

Since several decades the RAUMIS modelling system is applied for policy impact assessments to measure the impact of agriculture on the environment. A disaggregation at the municipality level with more than 9.000 administrative units, instead of currently used 316 counties, would tremendously improve the environmental impact analysis. Two sets of data are used for this purpose. The first are geo-referenced data, that are, however, incomplete with respect its coverage of production activities in agriculture. The second set is the micro census statistic itself, that has a full coverage, but data protection rules (DPR) prohibit its straightforward use. The paper show how this bottleneck can be passed to obtain a reliable modelling data set at municipality level with a complete coverage of the agricultural sector in Germany. We successfully applied a Bayesian estimator, that uses prior information derived a cluster analysis based on the micro census and GIS information. Our test statistics of the estimation, calculated by the statistical office, comparing our estimates and the real protected data, reveals that the proposed approach adequately estimates most activities and can be used to fed the municipality layer in the RAUMIS modelling system for an extended policy analysis.Highest Posterior Density estimator (HPD), RAUMIS, Down scaling, Agricultural and Food Policy, C11, C61, C81, Q15,

Impact of the CAP reform on small-scale grassland regions

This paper presents a regional land-use model that conceives farms as independent agents aiming at maximum individual utility. Farm agents optimize their utility with the help of a linear-programming algorithm that takes into account natural, economic and personal restrictions. Interactions between farms take place on the land market, which is modelled as an equilibrium market. The model is applied in three typical grassland regions in southern Bavaria. The results indicate that the CAP reform of 2003 has various significant consequences for grassland use. In particular, the decreasing profitability of dairy farming will lead to low-intensity forms of grassland use, including mulching. In general, land rents will increase due to the effects of decoupling.CAP Reform, linear programming, land-market simulation, agent-based modelling, farmers attitude, policy analysis, Agricultural and Food Policy, Land Economics/Use,

Impact of the CAP Reform on Small-Scaled Grassland Regions in Bavaria, Germany

The CAP reform of 2003 will change farmer's business environment in Europe. This paper analyses the impact of the reform on the land use in southern German grassland regions. The assessment will be based on model calculations for two typical grassland regions. Each study area represents one village with its specific farm structure and natural conditions. These regions differ in their excellence with respect to agricultural use. In Southern Germany small to medium sized family farms is the most frequent type of farming. We use a regional land-use model that conceives farms as independent agents aiming at maximum individual utility. Farm agents optimize their farm organisation with the help of a linear-programming algorithm that takes into account natural, economic and personal restrictions. Interactions between farms take place on the land market, which is modelled as an equilibrium market. It becomes clear that the CAP reform of 2003 has various significant consequences with respect to grassland use. In particular the decreasing profitability of dairy farming will relatively promote low-intensive forms of grassland use, including mulching. If some payments (e. g. agri-environmental payments) remain coupled to livestock production area-wide agriculture can be maintained even in marginal areas. Land rents will generally increase in more marginal areas due to the effects of decoupling.CAP-reform, linear programming, land-market simulation, agent-based modelling, farmers attitude, policy analysis, Agricultural and Food Policy,

DEVELOPMENT OF THE UTILIZATION OF PASTORAL LAND IN THE EU 25 AFTER 2003

Farming systems based on products of roughage feeders are a vital part of the EU agricultural production. Up to the CAP reform in 2003 the EU promoted these systems via a wide variety of measures. This paper highlights the different impacts European, national and regional support measures have on the utilization of pastoral resources across the EU-25. Based on an expert survey and a literature review the paper summarizes the expected developments of pastoral farming systems across the EU.Pastoral Systems, EU, 2003 CAP Reform, Enlargement, Land Economics/Use,

Manufacture of glass composites reinforced with long and short fibres by extrusion

In the case of fibre-reinforced glass composites the glass matrix is the property-determining component, i.e., in the first place the composite possesses the characteristic properties of the glass. The embedded fibres serve for increasing the strength, the work of fracture and thus, the toughness of the glass. In contrast to the manufacture of composites by hot pressing, the extrusion method produces samples with high length-to-diameter ratios. The continuous flowing of the glass melt within the deformation zone and within the die channel leads to a preferential orientation of the fibres parallel to the direction of extrusion. Since the processing temperature is rather low compared with hot pressing, a thermal damage of the fibres can nearly be avoided. The manufacture of the glass composites is shown exemplarily for the embedding of continuous and discontinuous SiC fibres. The desizing, the impregnation of the long fibres and the homogeneous mixing of the short fibres with the glass powder are introduced and explained. This is followed by a schematic description of the extrusion method for both kinds of reinforcement. By means of some composite rods produced in this way the principal suitability of this processing for the unidirectional aligning of the reinforcing component is shown. The improvement of properties achieved by embedding the fibres into the samples is demonstrated by measured impact strength values

Comparative typology in six european low-intensity systems of grassland management

European biodiversity significantly depends on large-scale livestock systems with low input levels. In most countries forms of grazing are organized in permanent or seasonal cooperations (land-owner/land-user agents) and covers different landscape such as alpine areas, forest, grasslands, mires, and even arable land. Today, the existence of these structures is threatened due to changes in agricultural land use practices and erratic governmental policies. The present chapter investigates six low-input livestock systems of grassland management with varying degrees of arrangements in different European countries and landscapes. These large-scale grazing systems (LSGS) are reindeer husbandry in Northern Sapmi (Fennoscandia), sheep grazing in the Polish Tatra mountains, cattle grazing in the Swiss and German Alps, cattle, sheep, and pig grazing in Baixo Alentejo, Southern Portugal, and sedentary sheep grazing in Central Spain. These systems showed very heterogeneous organizational patterns in their way of exploiting the pastoral resources. At the same time, these LSGS showed at least some of the following weaknesses such as poor economic performance, social fragility, and structural shortcomings for proper grazing management. Lack of proper mobility of herds/flocks or accession to specific grazing grounds can be a cause of environmental hazards. The surveyed LSGS are mostly dependent on public handouts for survival, but successive policy schemes have only showed mixed effects and, in particular study areas, clear inconsistencies in their aim to stop the general declining trend of LSGS

Identification of Candida glabrata genes involved in pH modulation and modification of the phagosomal environment in macrophages

notes: PMCID: PMC4006850types: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov'tCandida glabrata currently ranks as the second most frequent cause of invasive candidiasis. Our previous work has shown that C. glabrata is adapted to intracellular survival in macrophages and replicates within non-acidified late endosomal-stage phagosomes. In contrast, heat killed yeasts are found in acidified matured phagosomes. In the present study, we aimed at elucidating the processes leading to inhibition of phagosome acidification and maturation. We show that phagosomes containing viable C. glabrata cells do not fuse with pre-labeled lysosomes and possess low phagosomal hydrolase activity. Inhibition of acidification occurs independent of macrophage type (human/murine), differentiation (M1-/M2-type) or activation status (vitamin D3 stimulation). We observed no differential activation of macrophage MAPK or NFκB signaling cascades downstream of pattern recognition receptors after internalization of viable compared to heat killed yeasts, but Syk activation decayed faster in macrophages containing viable yeasts. Thus, delivery of viable yeasts to non-matured phagosomes is likely not triggered by initial recognition events via MAPK or NFκB signaling, but Syk activation may be involved. Although V-ATPase is abundant in C. glabrata phagosomes, the influence of this proton pump on intracellular survival is low since blocking V-ATPase activity with bafilomycin A1 has no influence on fungal viability. Active pH modulation is one possible fungal strategy to change phagosome pH. In fact, C. glabrata is able to alkalinize its extracellular environment, when growing on amino acids as the sole carbon source in vitro. By screening a C. glabrata mutant library we identified genes important for environmental alkalinization that were further tested for their impact on phagosome pH. We found that the lack of fungal mannosyltransferases resulted in severely reduced alkalinization in vitro and in the delivery of C. glabrata to acidified phagosomes. Therefore, protein mannosylation may play a key role in alterations of phagosomal properties caused by C. glabrata.Deutsche ForschungsgemeinschaftNational Institutes for HealthWellcome TrustBBSR

MUNICIPALITY DISAGGREGATION OF GERMAN'S AGRICULTURAL SECTOR MODEL RAUMIS

Since several decades the RAUMIS modelling system is applied for policy impact assessments to measure the impact of agriculture on the environment. A disaggregation at the municipality level with more than 9.000 administrative units, instead of currently used 316 counties, would tremendously improve the environmental impact analysis. Two sets of data are used for this purpose. The first are geo-referenced data, that are, however, incomplete with respect its coverage of production activities in agriculture. The second set is the micro census statistic itself, that has a full coverage, but data protection rules (DPR) prohibit its straightforward use. The paper show how this bottleneck can be passed to obtain a reliable modelling data set at municipality level with a complete coverage of the agricultural sector in Germany. We successfully applied a Bayesian estimator, that uses prior information derived a cluster analysis based on the micro census and GIS information. Our test statistics of the estimation, calculated by the statistical office, comparing our estimates and the real protected data, reveals that the proposed approach adequately estimates most activities and can be used to fed the municipality layer in the RAUMIS modelling system for an extended policy analysis