@article{SchmidtRochlitzer2006, author = {Schmidt, Judith and Rochlitzer, Niels}, title = {Tradition oder Mimese?}, series = {MenschenRechtsMagazin : MRM ; Informationen, Meinungen, Analysen}, volume = {11}, journal = {MenschenRechtsMagazin : MRM ; Informationen, Meinungen, Analysen}, number = {1}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, issn = {1434-2820}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-38034}, pages = {47 -- 62}, year = {2006}, abstract = {I. Einleitung; II. Grundlagen der Menschenrechte und ihr Bezug zum Christentum: III. Die Verwirklichung der Menschenrechte durch die Kirche; IV. Die Menschenrechte innerhalb der katholischen Kirche; V. Schlußbetrachtung}, language = {de} } @article{SchmidtSturzbecher2019, author = {Schmidt, Julia and Sturzbecher, Dietmar}, title = {Risikoverhalten und Delinquenz}, series = {Wandel der Jugend in Brandenburg : Lebenslage · Werte · Teilhabe}, journal = {Wandel der Jugend in Brandenburg : Lebenslage · Werte · Teilhabe}, publisher = {Springer}, address = {Wiesbaden}, isbn = {978-3-658-23709-7}, pages = {149 -- 182}, year = {2019}, language = {de} } @article{SchmidtSaloSpahn2001, author = {Schmidt, J{\"u}rgen and Salo, H. and Spahn, Frank}, title = {Viscous overstability in Saturn's B ring : II. Hydrodynamic theory and comparison to simulations}, year = {2001}, language = {en} } @article{SchmidtMartinLopezPhillipsetal.2018, author = {Schmidt, Katja and Martin-Lopez, Berta and Phillips, Peter M. and Julius, Eike and Makan, Neville and Walz, Ariane}, title = {Key landscape features in the provision of ecosystem services}, series = {Land use policy}, volume = {82}, journal = {Land use policy}, publisher = {Elsevier}, address = {Oxford}, issn = {0264-8377}, doi = {10.1016/j.landusepol.2018.12.022}, pages = {353 -- 366}, year = {2018}, abstract = {Whereas ecosystem service research is increasingly being promoted in science and policy, the utilisation of ecosystem services knowledge remains largely underexplored for regional ecosystem management. To overcome the mere generation of knowledge and contribute to decision-making, scientists are facing the challenge of articulating specific implications of the ecosystem service approach for practical land use management. In this contribution, we compare the results of participatory mapping of ecosystem services with the existing management plan for the Pentland Hills Regional Park (Scotland, UK) to inform its future management plan. By conducting participatory mapping in a workshop with key stakeholders (n = 20), we identify hotspots of ecosystem services and the landscape features underpinning such hotspots. We then analyse to what extent these landscape features are the focus of the current management plan. We found a clear mismatch between the key landscape features underpinning the provision of ecosystem services and the management strategy suggested. Our findings allow for a better understanding of the required focus of future land use management to account for ecosystem services.}, language = {en} } @article{SchmidtWalzJonesetal.2016, author = {Schmidt, Katja and Walz, Ariane and Jones, Isobel and Metzger, Marc J.}, title = {The Sociocultural Value of Upland Regions in the Vicinity of Cities in Comparison With Urban Green Spaces}, series = {Mountain research and development}, volume = {36}, journal = {Mountain research and development}, publisher = {American Geophysical Union}, address = {Lawrence}, issn = {0276-4741}, doi = {10.1659/MRD-JOURNAL-D-16-00044.1}, pages = {465 -- 474}, year = {2016}, language = {en} } @article{SchmidtWalzMartinLopezetal.2017, author = {Schmidt, Katja and Walz, Ariane and Martin-Lopez, Berta and Sachse, Rene}, title = {Testing socio-cultural valuation methods of ecosystem services to explain land use preferences}, series = {Ecosystem Services : Science, Policy and Practice}, volume = {26}, journal = {Ecosystem Services : Science, Policy and Practice}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-0416}, doi = {10.1016/j.ecoser.2017.07.001}, pages = {270 -- 288}, year = {2017}, abstract = {Socio-cultural valuation still emerges as a methodological field in ecosystem service (ES) research and until now lacks consistent formalisation and balanced application in ES assessments. In this study, we examine the explanatory value of ES values for land use preferences. We use 563 responses to a survey about the Pentland Hills regional park in Scotland. Specifically, we aim to (1) identify clusters of land use preferences by using a novel visualisation tool, (2) test if socio-cultural values of ESs or (3) user characteristics are linked with land use preferences, and (4) determine whether both socio-cultural values of ESs and user characteristics can predict land use preferences. Our results suggest that there are five groups of people with different land use preferences, ranging from forest and nature enthusiasts to traditionalists, multi-functionalists and recreation seekers. Rating and weighting of ESs and user characteristics were associated with different clusters. Neither socio-cultural values nor user characteristics were suitable predictors for land use preferences. While several studies have explored land use preferences by identifying socio-cultural values in the past, our findings imply that in this case study ES values inform about general perceptions but do not replace the assessment of land use preferences. (C) 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.}, language = {en} } @article{SchmidtBochowImhofetal.2018, author = {Schmidt, Lena Katharina and Bochow, Mathias and Imhof, Hannes K. and Oswald, Sascha Eric}, title = {Multi-temporal surveys for microplastic particles enabled by a novel and fast application of SWIR imaging spectroscopy}, series = {Environmental pollution}, volume = {239}, journal = {Environmental pollution}, publisher = {Elsevier}, address = {Oxford}, issn = {0269-7491}, doi = {10.1016/j.envpol.2018.03.097}, pages = {579 -- 589}, year = {2018}, abstract = {Following the widespread assumption that a majority of ubiquitous marine microplastic particles originate from land-based sources, recent studies identify rivers as important pathways for microplastic particles (MPP) to the oceans. Yet a detailed understanding of the underlying processes and dominant sources is difficult to obtain with the existing accurate but extremely time-consuming methods available for the identification of MPP. Thus in the presented study, a novel approach applying short-wave infrared imaging spectroscopy for the quick and semi-automated identification of MPP is applied in combination with a multitemporal survey concept. Volume-reduced surface water samples were taken from transects at ten points along a major watercourse running through the South of Berlin, Germany, on six dates. After laboratory treatment, the samples were filtered onto glass fiber filters, scanned with an imaging spectrometer and analyzed by image processing. The presented method allows to count MPP, classify the plastic types and determine particle sizes. At the present stage of development particles larger than 450 m in diameter can be identified and a visual validation showed that the results are reliable after a subsequent visual final check of certain typical error types. Therefore, the method has the potential to accelerate microplastic identification by complementing FTIR and Raman microspectroscopy. Technical advancements (e.g. new lens) will allow lower detection limits and a higher grade of automatization in the near future. The resulting microplastic concentrations in the water samples are discussed in a spatio-temporal context with respect to the influence (i) of urban areas, (ii) of effluents of three major Berlin wastewater treatment plants discharging into the canal and (iii) of precipitation events. Microplastic concentrations were higher downstream of the urban area and after precipitation. An increase in microplastic concentrations was discernible for the wastewater treatment plant located furthest upstream though not for the other two. (C) 2018 Elsevier Ltd. All rights reserved.}, language = {en} } @article{SchmidtFranckeRottleretal.2022, author = {Schmidt, Lena Katharina and Francke, Till and Rottler, Erwin and Blume, Theresa and Sch{\"o}ber, Johannes and Bronstert, Axel}, title = {Suspended sediment and discharge dynamics in a glaciated alpine environment}, series = {Earth surface dynamics}, volume = {10}, journal = {Earth surface dynamics}, number = {3}, publisher = {Copernicus Publications}, address = {G{\"o}ttingen}, issn = {2196-632X}, doi = {10.5194/esurf-10-653-2022}, pages = {653 -- 669}, year = {2022}, abstract = {Glaciated high-alpine areas are fundamentally altered by climate change, with well-known implications for hydrology, e.g., due to glacier retreat, longer snow-free periods, and more frequent and intense summer rainstorms. While knowledge on how these hydrological changes will propagate to suspended sediment dynamics is still scarce, it is needed to inform mitigation and adaptation strategies. To understand the processes and source areas most relevant to sediment dynamics, we analyzed discharge and sediment dynamics in high temporal resolution as well as their patterns on several spatial scales, which to date few studies have done. We used a nested catchment setup in the Upper {\"O}tztal in Tyrol, Austria, where high-resolution (15 min) time series of discharge and suspended sediment concentrations are available for up to 15 years (2006-2020). The catchments of the gauges in Vent, S{\"o}lden and Tumpen range from 100 to almost 800 km2 with 10 \% to 30 \% glacier cover and span an elevation range of 930 to 3772 m a.s.l. We analyzed discharge and suspended sediment yields (SSY), their distribution in space, their seasonality and spatial differences therein, and the relative importance of short-term events. We complemented our analysis by linking the observations to satellite-based snow cover maps, glacier inventories, mass balances and precipitation data. Our results indicate that the areas above 2500 m a.s.l., characterized by glacier tongues and the most recently deglaciated areas, are crucial for sediment generation in all sub-catchments. This notion is supported by the synchronous spring onset of sediment export at the three gauges, which coincides with snowmelt above 2500 m but lags behind spring discharge onsets. This points at a limitation of suspended sediment supply as long as the areas above 2500 m are snow-covered. The positive correlation of annual SSY with glacier cover (among catchments) and glacier mass balances (within a catchment) further supports the importance of the glacier-dominated areas. The analysis of short-term events showed that summer precipitation events were associated with peak sediment concentrations and yields but on average accounted for only 21 \% of the annual SSY in the headwaters. These results indicate that under current conditions, thermally induced sediment export (through snow and glacier melt) is dominant in the study area. Our results extend the scientific knowledge on current hydro-sedimentological conditions in glaciated high-alpine areas and provide a baseline for studies on projected future changes in hydro-sedimentological system dynamics.}, language = {en} } @article{SchmidtZimmermannElsenbeer2014, author = {Schmidt, Lena Katharina and Zimmermann, Alexander and Elsenbeer, Helmut}, title = {Ant mounds as a source of sediment in a tropical rainforest?}, series = {Hydrological processes}, volume = {28}, journal = {Hydrological processes}, number = {13}, publisher = {Wiley-Blackwell}, address = {Hoboken}, issn = {0885-6087}, doi = {10.1002/hyp.10222}, pages = {4156 -- 4160}, year = {2014}, abstract = {In Lutzito catchment on Barro Colorado Island, Panama, extraordinarily high suspended-sediment yields of 1-2Mgha-1year-1 were generated despite the dense forest cover coinciding with erosion-resistant soils. We hypothesized that ant mounding activity is an important zoogeomorphological mechanism in this area, providing relevant quantities of easily transportable material at the soil surface. To test this hypothesis, all ant mound material was collected collected for dry mass determination from thirty 4m2 plots installed in the study area every 1-3days during the 39-day sampling period. Additionally, three ground-nesting ant species responsible for mounds in the study area, Ectatomma ruidum, Trachymyrmex cornetzi and Strumigenys marginiventris, were identified. On the basis of the total of 1.38kg of material collected in the wet season of 2011, the estimate for the whole 8months wet season amounts to 725kgha-1. As this value is in the same order of magnitude as sediment output, it shows that ants may act as important ecosystem engineers and contribute to sediment production here by providing large quantities of fine-grained, readily erodible material at the soil surface for subsequent transport to the streambed. Copyright (c) 2014 John Wiley \& Sons, Ltd.}, language = {en} } @article{SchmidtHesseAttingeretal.2020, author = {Schmidt, Lennart and Hesse, Falk and Attinger, Sabine and Kumar, Rohini}, title = {Challenges in applying machine learning models for hydrological inference}, series = {Water resources research}, volume = {56}, journal = {Water resources research}, number = {5}, publisher = {American Geophysical Union}, address = {Washington}, issn = {0043-1397}, doi = {10.1029/2019WR025924}, pages = {10}, year = {2020}, abstract = {Machine learning (ML) algorithms are being increasingly used in Earth and Environmental modeling studies owing to the ever-increasing availability of diverse data sets and computational resources as well as advancement in ML algorithms. Despite advances in their predictive accuracy, the usefulness of ML algorithms for inference remains elusive. In this study, we employ two popular ML algorithms, artificial neural networks and random forest, to analyze a large data set of flood events across Germany with the goals to analyze their predictive accuracy and their usability to provide insights to hydrologic system functioning. The results of the ML algorithms are contrasted against a parametric approach based on multiple linear regression. For analysis, we employ a model-agnostic framework named Permuted Feature Importance to derive the influence of models' predictors. This allows us to compare the results of different algorithms for the first time in the context of hydrology. Our main findings are that (1) the ML models achieve higher prediction accuracy than linear regression, (2) the results reflect basic hydrological principles, but (3) further inference is hindered by the heterogeneity of results across algorithms. Thus, we conclude that the problem of equifinality as known from classical hydrological modeling also exists for ML and severely hampers its potential for inference. To account for the observed problems, we propose that when employing ML for inference, this should be made by using multiple algorithms and multiple methods, of which the latter should be embedded in a cross-validation routine.}, language = {en} }