@article{Hoffmann2000, author = {Hoffmann, Michael}, title = {Wortschatz als Kulturgeschichte}, year = {2000}, language = {de} } @article{Hoffmann1999, author = {Hoffmann, Michael}, title = {Stil und Semantik : Alte Fragen - neue Antworten?}, year = {1999}, language = {de} } @article{Hoffmann1999, author = {Hoffmann, Michael}, title = {Thesen zur Variet{\"a}tenlinguistik}, year = {1999}, language = {de} } @article{Hoffmann1999, author = {Hoffmann, Michael}, title = {Typische, weniger typische und untypische Texte (Bericht)}, year = {1999}, language = {de} } @article{Hoffmann1999, author = {Hoffmann, Michael}, title = {Aus der Arbeit der Dudenredaktion (Bericht)}, year = {1999}, language = {de} } @misc{HoffmannSchulzHankeAlbaetal.2017, author = {Hoffmann, Mathias and Schulz-Hanke, Maximilian and Alba, Juana Garcia and Jurisch, Nicole and Hagemann, Ulrike and Sachs, Torsten and Sommer, Michael and Augustin, J{\"u}rgen}, title = {A simple calculation algorithm to separate high-resolution CH4 flux measurements into ebullition- and diffusion-derived components}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe}, number = {604}, issn = {1866-8372}, doi = {10.25932/publishup-41665}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-416659}, pages = {109 -- 118}, year = {2017}, abstract = {Processes driving the production, transformation and transport of methane (CH4) in wetland ecosystems are highly complex. We present a simple calculation algorithm to separate open-water CH4 fluxes measured with automatic chambers into diffusion- and ebullition-derived components. This helps to reveal underlying dynamics, to identify potential environmental drivers and, thus, to calculate reliable CH4 emission estimates. The flux separation is based on identification of ebullition-related sudden concentration changes during single measurements. Therefore, a variable ebullition filter is applied, using the lower and upper quartile and the interquartile range (IQR). Automation of data processing is achieved by using an established R script, adjusted for the purpose of CH4 flux calculation. The algorithm was validated by performing a laboratory experiment and tested using flux measurement data (July to September 2013) from a former fen grassland site, which converted into a shallow lake as a result of rewetting. Ebullition and diffusion contributed equally (46 and 55 \%) to total CH4 emissions, which is comparable to ratios given in the literature. Moreover, the separation algorithm revealed a concealed shift in the diurnal trend of diffusive fluxes throughout the measurement period. The water temperature gradient was identified as one of the major drivers of diffusive CH4 emissions, whereas no significant driver was found in the case of erratic CH4 ebullition events.}, language = {en} } @misc{HoffmannJurischAlbaetal.2017, author = {Hoffmann, Mathias and Jurisch, Nicole and Alba, Juana Garcia and Borraz, Elisa Albiac and Schmidt, Marten and Huth, Vytas and Rogasik, Helmut and Rieckh, Helene and Verch, Gernot and Sommer, Michael and Augustin, J{\"u}rgen}, title = {Detecting small-scale spatial heterogeneity and temporal dynamics of soil organic carbon (SOC) stocks}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {666}, issn = {1866-8372}, doi = {10.25932/publishup-41711}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-417118}, pages = {17}, year = {2017}, abstract = {Carbon (C) sequestration in soils plays a key role in the global C cycle. It is therefore crucial to adequately monitor dynamics in soil organic carbon (Delta SOC) stocks when aiming to reveal underlying processes and potential drivers. However, small-scale spatial (10-30 m) and temporal changes in SOC stocks, particularly pronounced in arable lands, are hard to assess. The main reasons for this are limitations of the well-established methods. On the one hand, repeated soil inventories, often used in long-term field trials, reveal spatial patterns and trends in Delta SOC but require a longer observation period and a sufficient number of repetitions. On the other hand, eddy covariance measurements of C fluxes towards a complete C budget of the soil-plant-atmosphere system may help to obtain temporal Delta SOC patterns but lack small-scale spatial resolution. To overcome these limitations, this study presents a reliable method to detect both short-term temporal dynamics as well as small-scale spatial differences of Delta SOC using measurements of the net ecosystem carbon balance (NECB) as a proxy. To estimate the NECB, a combination of automatic chamber (AC) measurements of CO2 exchange and empirically modeled aboveground biomass development (NPPshoot / were used. To verify our method, results were compared with Delta SOC observed by soil resampling. Soil resampling and AC measurements were performed from 2010 to 2014 at a colluvial depression located in the hummocky ground moraine landscape of northeastern Germany. The measurement site is characterized by a variable groundwater level (GWL) and pronounced small-scale spatial heterogeneity regarding SOC and nitrogen (Nt) stocks. Tendencies and magnitude of Delta SOC values derived by AC measurements and repeated soil inventories corresponded well. The period of maximum plant growth was identified as being most important for the development of spatial differences in annual Delta SOC. Hence, we were able to confirm that AC-based C budgets are able to reveal small-scale spatial differences and short-term temporal dynamics of Delta SOC.}, language = {en} } @incollection{HoffmannSchwartzWentker2017, author = {Hoffmann, Dierk and Schwartz, Michael and Wentker, Hermann}, title = {Die DDR als Chance}, series = {Diktatur und Demokratie im Unterricht : der Fall DDR}, booktitle = {Diktatur und Demokratie im Unterricht : der Fall DDR}, editor = {H{\"u}ttmann, Jens and von Arnim-Rosenthal, Anna}, publisher = {Metropol}, address = {Berlin}, isbn = {978-3-86331-337-1}, pages = {39 -- 53}, year = {2017}, language = {de} } @article{FunkLiHoffmannetal.2012, author = {Funk, Roger and Li, Yong and Hoffmann, Carsten and Reiche, Matthias and Zhang, Zhuodong and Li, Junjie and Sommer, Michael}, title = {Using Cs-137 to estimate wind erosion and dust deposition on grassland in Inner Mongolia-selection of a reference site and description of the temporal variability}, series = {Plant and soil}, volume = {351}, journal = {Plant and soil}, number = {1-2}, publisher = {Springer}, address = {Dordrecht}, issn = {0032-079X}, doi = {10.1007/s11104-011-0964-y}, pages = {293 -- 307}, year = {2012}, abstract = {The aims of this study were to identify areas of wind erosion and dust deposition and to quantify the effects of different grazing intensities on soil redistribution rates in grasslands based on the Cs-137 technique. Because the method uses a reference inventory as threshold for erosion or deposition, the classification of any other site as source or sink for dust depends on the accurate selection of this reference site. Measurements of Cs-137 inventories and depth distributions were carried out at pasture sites with predominant species of Stipa grandis and Leymus chinensis which are grazed with different intensities. Additional measurements were made at arable land, plant-covered sand dunes and alluvial plains. Wind-induced soil erosion and dust deposition rates were calculated from Cs-137 inventories by means of the "Profile-Distribution" and the "Mass Balance II" models. The selection of the reference site was based on fluid dynamical and process-determining parameters. The chosen site should meet the following four conditions: (i) located at a summit position with obviously low deposition rates, (ii) sufficient vegetation cover to prevent wind erosion, (iii) plane to exclude water erosion and (iv) in the wind/dust shadow of a higher elevation. The measured reference inventory of Cs-137 was 1967(+/- 102) Bqm(-2) located at a summit position of moderately grazed Leymus chinensis steppe. The Cs-137 inventories at other sites ranged from 1330 Bqm(-2) at heavily grazed sites to 5119 Bqm(-2) at river deposits, representing annual average soil losses of up to 130 tkm(-2) and deposits of up to 540 tkm(-2), respectively. The calculated annual averages of dust depositions at ungrazed Leymus chinensis sites were related to the dust storm frequencies of the last 50 years resulting in a description of the temporal variability of annual dust depositions from about 154 tkm(-2) in the 1960s to 26 tkm(-2) at recent times. Based on this quantification already 80\% of the total dust depositions can be related to the 20 years between the 1960s and the end of the 1970s and only 20\% to the time between 1980 and 2001. Cs-137 technique is a promising method to assess the effect of grazing intensity and land use types on the spatial variability of wind-induced soil and dust redistribution processes in semi-arid grasslands. However, considerable efforts are needed to identify a reliable reference site, because erosion and deposition induced by wind may occur at the same places. The combination of the dust deposition rates derived from Cs-137 profile data with the dust storm frequencies is helpful for a better reconstruction of the temporal variability of dust deposition and wind erosion in this region. The calculated recent deposition rates of about 20 tkm(-2) are in good agreement with data of other authors.}, language = {en} } @article{ReicheFunkZhangetal.2012, author = {Reiche, Matthias and Funk, Roger and Zhang, Zhuodong and Hoffmann, Carsten and Reiche, Johannes and Wehrhan, Marc and Li, Yong and Sommer, Michael}, title = {Application of satellite remote sensing for mapping wind erosion risk and dust emission-deposition in Inner Mongolia grassland, China}, series = {Grassland science}, volume = {58}, journal = {Grassland science}, number = {1}, publisher = {Wiley-Blackwell}, address = {Malden}, issn = {1744-6961}, doi = {10.1111/j.1744-697X.2011.00235.x}, pages = {8 -- 19}, year = {2012}, abstract = {Intensive grazing leads to land degradation and desertification of grassland ecosystems followed by serious environmental and social problems. The Xilingol steppe grassland in Inner Mongolia, China, which has been a sink area for dust for centuries, is strongly affected by the negative effects of overgrazing and wind erosion. The aim of this study is the provision of a wind erosion risk map with a spatial high resolution of 25 m to identify actual source and sink areas. In an integrative approach, field measurements of vegetation features and surface roughness length z0 were combined with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image data for a land use classification. To determine the characteristics of the different land use classes, a field observation (ground truth) was performed in April 2009. The correlation of vegetation height and z0 (R2 = 0.8, n = 55) provided the basis for a separation of three main classes, grassland, non-vegetation and other. The integration of the soil-adjusted vegetation index (SAVI) and the spectral information from the atmospheric corrected ASTER bands 1, 2 and 3 (visible to near-infrared) led to a classification of the overall accuracy (OA) of 0.79 with a kappa () statistic of 0.74, respectively. Additionally, a digital elevation model (DEM) was used to identify topographical effects in relation to the main wind direction, which enabled a qualitative estimation of potential dust deposition areas. The generated maps result in a significantly higher description of the spatial variability in the Xilingol steppe grassland reflecting the different land use intensities on the current state of the grassland less, moderately and highly degraded. The wind erosion risk map enables the identification of characteristic mineral dust sources, sinks and transition zones.}, language = {en} }