@article{SommerJochheimHoehnetal.2013, author = {Sommer, Michael and Jochheim, H. and H{\"o}hn, Axel and Breuer, J{\"o}rn and Zagorski, Z. and Busse, J. and Barkusky, Dietmar and Meier, K. and Puppe, D. and Wanner, Manfred and Kaczorek, Danuta}, title = {Si cycling in a forest biogeosystem - the importance of transient state biogenic Si pools}, series = {Biogeosciences}, volume = {10}, journal = {Biogeosciences}, number = {7}, publisher = {Copernicus}, address = {G{\"o}ttingen}, issn = {1726-4170}, doi = {10.5194/bg-10-4991-2013}, pages = {4991 -- 5007}, year = {2013}, abstract = {The relevance of biological Si cycling for dissolved silica (DSi) export from terrestrial biogeosystems is still in debate. Even in systems showing a high content of weatherable minerals, like Cambisols on volcanic tuff, biogenic Si (BSi) might contribute > 50\% to DSi (Gerard et al., 2008). However, the number of biogeosystem studies is rather limited for generalized conclusions. To cover one end of controlling factors on DSi, i.e., weatherable minerals content, we studied a forested site with absolute quartz dominance (> 95 \%). Here we hypothesise minimal effects of chemical weathering of silicates on DSi. During a four year observation period (05/2007-04/2011), we quantified (i) internal and external Si fluxes of a temperate-humid biogeosystem (beech, 120 yr) by BIOME-BGC (version ZALF), (ii) related Si budgets, and (iii) Si pools in soil and beech, chemically as well as by SEM-EDX. For the first time two compartments of biogenic Si in soils were analysed, i.e., phytogenic and zoogenic Si pool (testate amoebae). We quantified an average Si plant uptake of 35 kg Si ha(-1) yr(-1) - most of which is recycled to the soil by litterfall - and calculated an annual biosilicification from idiosomic testate amoebae of 17 kg Si ha(-1). The comparatively high DSi concentrations (6 mg L-1) and DSi exports (12 kg Si ha(-1) yr(-1)) could not be explained by chemical weathering of feldspars or quartz dissolution. Instead, dissolution of a relictic, phytogenic Si pool seems to be the main process for the DSi observed. We identified canopy closure accompanied by a disappearance of grasses as well as the selective extraction of pine trees 30 yr ago as the most probable control for the phenomena observed. From our results we concluded the biogeosystem to be in a transient state in terms of Si cycling.}, language = {en} } @misc{SommerAugustinKleber2016, author = {Sommer, Michael and Augustin, J{\"u}rgen and Kleber, M.}, title = {Feedbacks of soil erosion on SOC patterns and carbon dynamics in agricultural landscapes-The CarboZALF experiment}, series = {Journal of real-time image processing}, volume = {156}, journal = {Journal of real-time image processing}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0167-1987}, doi = {10.1016/j.still.2015.09.015}, pages = {182 -- 184}, year = {2016}, language = {en} } @inproceedings{Sommer2006, author = {Sommer, Michael}, title = {Nicht-invasive Methoden in der Bodenlandschaftsforschung}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-7117}, year = {2006}, abstract = {Der Referent ist Leiter des Institutes f{\"u}r Bodenlandschaftsforschung am Leibniz-Zentrum f{\"u}r Agrarlandschaftsforschung (ZALF) e. V. in M{\"u}ncheberg.}, language = {de} } @article{SommerGarbusowJuengeretal.2017, author = {Sommer, C. and Garbusow, Maria and Juenger, E. and Pooseh, S. and Bernhardt, Nadine and Birkenstock, J. and Schad, Daniel and Jabs, B. and Gloeckler, T. and Huys, Quentin J. M. and Heinz, A. and Smolka, Michael N. and Zimmermann, Ulrich S.}, title = {Strong seduction: impulsivity and the impact of contextual cues on instrumental behavior in alcohol dependence}, series = {Translational Psychiatry}, volume = {7}, journal = {Translational Psychiatry}, publisher = {Nature Publ. Group}, address = {New York}, issn = {2158-3188}, doi = {10.1038/tp.2017.158}, pages = {1209 -- 1222}, year = {2017}, abstract = {Alcohol-related cues acquire incentive salience through Pavlovian conditioning and then can markedly affect instrumental behavior of alcohol-dependent patients to promote relapse. However, it is unclear whether similar effects occur with alcohol-unrelated cues. We tested 116 early-abstinent alcohol-dependent patients and 91 healthy controls who completed a delay discounting task to assess choice impulsivity, and a Pavlovian-to-instrumental transfer (PIT) paradigm employing both alcohol-unrelated and alcohol-related stimuli. To modify instrumental choice behavior, we tiled the background of the computer screen either with conditioned stimuli (CS) previously generated by pairing abstract pictures with pictures indicating monetary gains or losses, or with pictures displaying alcohol or water beverages. CS paired to money gains and losses affected instrumental choices differently. This PIT effect was significantly more pronounced in patients compared to controls, and the group difference was mainly driven by highly impulsive patients. The PIT effect was particularly strong in trials in which the instrumental stimulus required inhibition of instrumental response behavior and the background CS was associated to monetary gains. Under that condition, patients performed inappropriate approach behavior, contrary to their previously formed behavioral intention. Surprisingly, the effect of alcohol and water pictures as background stimuli resembled that of aversive and appetitive CS, respectively. These findings suggest that positively valenced background CS can provoke dysfunctional instrumental approach behavior in impulsive alcohol-dependent patients. Consequently, in real life they might be easily seduced by environmental cues to engage in actions thwarting their long-term goals. Such behaviors may include, but are not limited to, approaching alcohol.}, language = {en} } @article{SinghalPahleKalkuhletal.2021, author = {Singhal, Puja and Pahle, Michael and Kalkuhl, Matthias and Sommer, Stephan and Levesque, Antoine and Berneiser, Jessica}, title = {Beyond good faith}, series = {SSRN eLibrary / Social Science Research Network}, journal = {SSRN eLibrary / Social Science Research Network}, publisher = {SSRN - Elsevier}, address = {Rochester, NY}, issn = {1556-5068}, doi = {10.2139/ssrn.3947800}, pages = {29}, year = {2021}, abstract = {The ambitious climate targets set by industrialized nations worldwide cannot be met without decarbonizing the building stock. Using Germany as a case study, this paper takes stock of the extensive set of energy efficiency policies that are already in place and clarifies that they have been designed "in good faith" but lack in overall effectiveness as well as cost-efficiency in achieving these climate targets. We map out the market failures and behavioural considerations that are potential reasons for why realized energy savings fall below expectations and why the household adoption of energy-efficient and low-carbon technologies has remained low. We highlight the pressing need for data and modern empirical research to develop targeted and cost-effective policies seeking to correct these market failures. To this end, we identify some key research questions and identify gaps in the data required for evidence-based policy.}, language = {en} } @article{SiegmundPanebiancoAvecillaetal.2022, author = {Siegmund, Nicole and Panebianco, Juan E. and Avecilla, Fernando and Iturri, Laura Antonela and Sommer, Michael and Buschiazzo, Daniel and Funk, Roger}, title = {From gustiness to dustiness}, series = {Atmosphere}, volume = {13}, journal = {Atmosphere}, number = {8}, publisher = {MDPI}, address = {Basel}, issn = {2073-4433}, doi = {10.3390/atmos13081173}, pages = {14}, year = {2022}, abstract = {This study delivers the first empirical data-driven analysis of the impact of turbulence induced gustiness on the fine dust emissions from a measuring field. For quantification of the gust impact, a new measure, the Gust uptake Efficiency (GuE) is introduced. GuE provides a percentage of over- or under-proportional dust uptake due to gust activity during a wind event. For the three analyzed wind events, GuE values of up to 150\% could be found, yet they significantly differed per particle size class with a tendency for lower values for smaller particles. In addition, a high-resolution correlation analysis among 31 particle size classes and wind speed was conducted; it revealed strong negative correlation coefficients for very small particles and positive correlations for bigger particles, where 5 mu m appears to be an empirical threshold dividing both directions. We conclude with a number of suggestions for further investigations: an optimized field experiment setup, a new particle size ratio (PM1/PM0.5 in addition to PM10/PM2.5), as well as a comprehensive data-driven search for an optimal wind gust definition in terms of soil erosivity.}, language = {en} } @article{SiegmundFunkSommeretal.2022, author = {Siegmund, Nicole and Funk, Roger and Sommer, Michael and Avecilla, Fernando and Esteban Panebianco, Juan and Iturri, Laura Antonela and Buschiazzo, Daniel}, title = {Horizontal and vertical fluxes of particulate matter during wind erosion on arable land in the province La Pampa, Argentina}, series = {International journal of sediment research}, volume = {37}, journal = {International journal of sediment research}, number = {5}, publisher = {IRTCES}, address = {Beijing}, issn = {1001-6279}, doi = {10.1016/j.ijsrc.2022.01.004}, pages = {539 -- 552}, year = {2022}, abstract = {A detailed analysis of horizontal and vertical particulate matter (PM) fluxes during wind erosion has been done, based on measurements of PM smaller than 10, 2.5, and 1.0 mu mm, at windward and leeward positions on a measuring field. The three fractions of PM measurement are differently influenced by the increasing wind and shear velocities of the wind. The measured concentrations of the coarser fractions of the fine dust, PM10, and PM2.5, increase with wind and shear velocity, whereas the PM1.0 concentrations show no clear correlation to the shear velocity. The share of PM2.5 on PM10 depends on the measurement height and wind speed and varies between 4 and 12 m/s at the 1 m height ranging from 25\% to 7\% (average 10\%), and at the 4 m height from 39\% to 23\% (average 30\%). Although general relationships between wind speed, PM concentration, and horizontal and vertical fluxes could be found, the contribution of the measuring field was very low, as balances of incoming and outgoing fluxes show. Consequently, the measured PM concentrations are determined from a variety of sources, such as traffic on unpaved roads, cattle drives, tillage operations, and wind erosion, and thus, represent all components of land use and landscape structure in the near and far surroundings of the measuring field. The current results may reflect factors from the landscape scale rather than the influence of field-related variables. The measuring devices used to monitor PM concentrations showed differences of up to 20\%, which led to considerable deviations when determining total balances. Differences up to 67\% between the calculated fluxes prove the necessity of a previous calibration of the devices used. (c) 2022 International Research and Training Centre on Erosion and Sedimentation/the World Association for Sedimentation and Erosion Research.}, language = {en} } @article{SiegmundFunkKoszinskyetal.2018, author = {Siegmund, Nicole and Funk, Roger and Koszinsky, Sylvia and Buschiazzo, Daniel and Sommer, Michael}, title = {Effects of low-scale landscape structures on aeolian transport processes on arable land}, series = {Aeolian Research}, volume = {32}, journal = {Aeolian Research}, publisher = {Elsevier}, address = {Oxford}, issn = {1875-9637}, doi = {10.1016/j.aeolia.2018.03.003}, pages = {181 -- 191}, year = {2018}, abstract = {The landscape of the semiarid Pampa in central Argentina is characterized by late Pleistocene aeolian deposits, covering large plains with sporadic dune structures. Since the current land use changed from extensive livestock production within the Caldenal forest ecosystem to arable land, the wind erosion risk increased distinctly. We measured wind erosion and deposition patterns at the plot scale and investigated the spatial variability of the erosion processes. The wind-induced mass-transport was measured with 18 Modified Wilson and Cooke samplers (MWAC), installed on a 1.44 ha large field in a 20 x 40 m grid. Physical and chemical soil properties from the upper soil as well as a digital elevation model were recorded in a 20 x 20 m grid. In a 5-month measuring campaign data from seven storms with three different wind directions was obtained. Results show very heterogeneous patterns of erosion and deposition for each storm and indicate favoured erosion on windward and deposits on leeward terrain positions. Furthermore, a multiple regression model was build, explaining up to 70\% of the spatial variance of erosion by just using four predictors: topsoil thickness, relative elevation, soil organic carbon content and slope direction. Our findings suggest a structure-process-structure complex where the landscape structure determines the effects of recent wind erosion processes which again slowly influence the structure, leading to a gradual increase of soil heterogeneity.}, language = {en} } @misc{SeboldNebeGarbusowetal.2017, author = {Sebold, Miriam Hannah and Nebe, Stephan and Garbusow, Maria and Schad, Daniel and Sommer, Christian and Rapp, Michael Armin and Smolka, Michael N. and Huys, Quentin J. M. and Schlagenhauf, Florian and Heinz, Andreas}, title = {Neurobiological correlates of learning and decision-making in alcohol dependence}, series = {European psychiatry : the journal of the Association of European Psychiatrists}, volume = {41}, journal = {European psychiatry : the journal of the Association of European Psychiatrists}, publisher = {Elsevier}, address = {Paris}, issn = {0924-9338}, doi = {10.1016/j.eurpsy.2017.01.084}, pages = {S11 -- S11}, year = {2017}, language = {en} } @article{SeboldNebeGarbusowetal.2017, author = {Sebold, Miriam Hannah and Nebe, Stephan and Garbusow, Maria and Guggenmos, Matthias and Schad, Daniel and Beck, Anne and Kuitunen-Paul, S{\"o}ren and Sommer, Christian and Frank, Robin and Neu, Peter and Zimmermann, Ulrich S. and Rapp, Michael Armin and Smolka, Michael N. and Huys, Quentin J. M. and Schlagenhauf, Florian and Heinz, Andreas}, title = {When Habits Are Dangerous: Alcohol Expectancies and Habitual Decision Making Predict Relapse in Alcohol Dependence}, series = {Biological psychiatry : a journal of psychiatric neuroscience and therapeutics ; a publication of the Society of Biological Psychiatry}, volume = {82}, journal = {Biological psychiatry : a journal of psychiatric neuroscience and therapeutics ; a publication of the Society of Biological Psychiatry}, publisher = {Elsevier}, address = {New York}, issn = {0006-3223}, doi = {10.1016/j.biopsych.2017.04.019}, pages = {847 -- 856}, year = {2017}, abstract = {BACKGROUND: Addiction is supposedly characterized by a shift from goal-directed to habitual decision making, thus facilitating automatic drug intake. The two-step task allows distinguishing between these mechanisms by computationally modeling goal-directed and habitual behavior as model-based and model-free control. In addicted patients, decision making may also strongly depend upon drug-associated expectations. Therefore, we investigated model-based versus model-free decision making and its neural correlates as well as alcohol expectancies in alcohol-dependent patients and healthy controls and assessed treatment outcome in patients. METHODS: Ninety detoxified, medication-free, alcohol-dependent patients and 96 age-and gender-matched control subjects underwent functional magnetic resonance imaging during the two-step task. Alcohol expectancies were measured with the Alcohol Expectancy Questionnaire. Over a follow-up period of 48 weeks, 37 patients remained abstinent and 53 patients relapsed as indicated by the Alcohol Timeline Followback method. RESULTS: Patients who relapsed displayed reduced medial prefrontal cortex activation during model-based decision making. Furthermore, high alcohol expectancies were associated with low model-based control in relapsers, while the opposite was observed in abstainers and healthy control subjects. However, reduced model-based control per se was not associated with subsequent relapse. CONCLUSIONS: These findings suggest that poor treatment outcome in alcohol dependence does not simply result from a shift from model-based to model-free control but is instead dependent on the interaction between high drug expectancies and low model-based decision making. Reduced model-based medial prefrontal cortex signatures in those who relapse point to a neural correlate of relapse risk. These observations suggest that therapeutic interventions should target subjective alcohol expectancies.}, language = {en} }