@misc{WillGroeneveldLeneletal., author = {Will, Meike and Groeneveld, J{\"u}rgen and Lenel, Friederike and Frank, Karin and M{\"u}ller, Birgit}, title = {Determinants of household vulnerability in networks with formal insurance and informal risk-sharing}, series = {Ecological Economics}, volume = {212}, journal = {Ecological Economics}, publisher = {Elsevier BV}, issn = {0921-8009}, doi = {10.1016/j.ecolecon.2023.107921}, pages = {9}, language = {en} } @misc{BillerbeckKieferWinkleretal., author = {Billerbeck, Anna and Kiefer, Christoph P. and Winkler, Jenny and Bernath, Christiane and Sensfuß, Frank and Kranzl, Lukas and M{\"u}ller, Andreas and Ragwitz, Mario}, title = {The race between hydrogen and heat pumps for space and water heating: A model-based scenario analysis}, series = {Energy Conversion and Management}, volume = {299}, journal = {Energy Conversion and Management}, publisher = {Elsevier BV}, issn = {0196-8904}, doi = {10.1016/j.enconman.2023.117850}, pages = {19}, abstract = {This paper analyses different levels and means of the electrification of space and hot water heating using an explorative modelling approach. The analysis provides guidance to the ongoing discussion on favourable pathways for heating buildings and the role of secondary energy carriers such as hydrogen or synthetic fuels. In total, 12 different scenarios were modelled with decarbonisation pathways until 2050, which cover all 27 member states of the European Union. Two highly detailed optimisation models were combined to cover the building stock and the upstream energy supply sector. The analysis shows that decarbonisation pathways for space and water heating based on large shares of heat pumps have at least 11\% lower system costs in 2050 than pathways with large shares of hydrogen or synthetic fuels. This translates into system cost savings of around €70 bn. Heat pumps are cost-efficient in decentralised systems and in centralised district heating systems. Hence, heat pumps should be the favoured option to achieve a cost-optimal solution for heating buildings. Accordingly, the paper makes a novel and significant contribution to understanding suitable and cost-efficient decarbonisation pathways for space and hot water heating via electrification. The results of the paper can provide robust guidance for policymakers.}, language = {en} } @incollection{UlrichSchlegelMertensetal., author = {Ulrich, Rainer G. and Schlegel, Matthias and Mertens, Marc and Groschup, Martin H. and Schmidt-Chanasit, Jonas and Plenge-B{\"o}nig, Anita and Jacob, Jens and Pelz, Hans-Joachim and Freise, Jona and Wenk, Matthias and Thiel, J{\"o}rg and Triebenbacher, Cornelia and Schmolz, Eric and Kurth, Andreas and Kr{\"u}ger, Frank and R{\"u}he, Ferdinand and Kiffner, Christian and Ansorge, Hermann and Gerwin, Werner and Wegener, Wolfgang and M{\"u}ller, J{\"o}rg and Bemmann, Margit and Wolf, Ronny and Otto, Lutz-Florian and Oehme, Rainer and Pfeffer, Martin and Heckel, Gerald and Schex, Susanne and Essbauer, Sandra S.}, title = {Netzwerk Nagetier-{\"u}bertragene Pathogene: Monitoring von Hantavirus-Infektionen in Deutschland}, series = {Wildhygiene, Wildtierkrankheiten, Parasiten, Epidemiologie}, booktitle = {Wildhygiene, Wildtierkrankheiten, Parasiten, Epidemiologie}, publisher = {Ges. f{\"u}r Wildtier- und Jagdforschung}, address = {Halle/Saale}, isbn = {978-378-88131-2-3}, issn = {1436-3895}, pages = {229 -- 250}, language = {de} } @inproceedings{RaabSchneiderBonhageetal., author = {Raab, Alexandra and Schneider, Anna and Bonhage, Alexander and Takla, Melanie and Hirsch, Florian and M{\"u}ller, Frank and R{\"o}sler, Horst and Heußner, Karl-Uwe}, title = {Spatial analysis of charcoal kiln remains in the former royal forest district Tauer (Lower Lusatia, North German Lowlands)}, series = {European Geosciences Union, General Assembly 2016, Vienna, Austria}, booktitle = {European Geosciences Union, General Assembly 2016, Vienna, Austria}, publisher = {European Geophysical Society}, address = {Katlenburg-Lindau}, abstract = {Archaeological excavations have revealed more than thousand charcoal kiln remains (CKRs) in the prefield of the active opencast lignite mine J{\"a}nschwalde, situated about 150 km SE of Berlin (SE Brandenburg, Germany). The charcoal was mainly produced for the ironwork Peitz nearby, which operated from the 16th to the mid-19th centuries. In a first approach, to estimate the dimension of the charcoal production, CKRs were mapped on shaded-relief maps (SRMs) derived from high-resolution LiDAR data (Raab et al. 2015). Subsequently, for a selected test area, identified CKRs on the SRMs were compared with archaeologically excavated CKRs in the field. This survey showed a considerably number of falsely detected sites. Therefore, the data was critically re-evaluated using additional relief visualisations. Further, we extended the CKR mapping to areas which are not archaeologically investigated. The study area, the former royal forest district Tauer, consists of two separate areas: the Tauersche Heide (c. 96 km2 area) N of Peitz and the area J{\"a}nschwalde (c. 32 km2 area) NE of Peitz. The study area is characterized by a flat topography. Different former and current anthropogenic uses (e.g., military training, solar power plant, forestry measures) have affected the study area, resulting in extensive disturbances of the terrain surface. The revised CKR abundance in the study area J{\"a}nschwalde was considerably smaller than the numbers produced by our first approach. Further, the CKR mapping revealed, that a total record of the CKRs is not possible for various reasons. Despite these limitations, a solid database can be provided for a much larger area than before. Basic statistic parameters of the CKR diameters and all comparative statistical tests were calculated using SPSS. To detect underlying spatial relationships in the CKR site distribution, we applied the Getis-Ord Gi* statistic, a method to test for local spatial autocorrelation between neighbouring sites. The test is available as part of the ArcGis 10.1 spatial statistics toolbox. The outcomes are discussed in consideration of our archaeological, archival and dendrochronological research results.}, language = {en} } @inproceedings{RaabRaabSchneideretal., author = {Raab, Alexandra and Raab, Thomas and Schneider, Anna and Hirsch, Florian and Takla, Melanie and Nicolay, Alexander and Bonhage, Alexander and M{\"u}ller, Frank and Heußner, Karl-Uwe and R{\"o}sler, Horst}, title = {Reconstructing anthropogenic landscape transformation in the surroundings of the ironwork Peitz (SE Brandenburg, Germany) - 16th to mid-19th centuries}, series = {4th International Landscape Archaeology Conference, Uppsala, 22nd - 25th August 2016}, booktitle = {4th International Landscape Archaeology Conference, Uppsala, 22nd - 25th August 2016}, publisher = {Department of archaeology and ancient history, Uppsala university,}, address = {Uppsala}, pages = {S. 152}, abstract = {Various sources provide information about land use history and landscape transformation. For a variety of reasons, the quality of information differs and is often discontinuous or incomplete. In this interdisciplinary study we take advantage of comprehensive archaeological data gathered by large-scale excavations that were necessary because of opencast lignite mining in Lusatia, Brandenburg, Germany. By using a GIS we integrate these archaeological findings with results from archival and literature studies, from historical maps, from landforms and soils as well as from analyses of shaded-relief maps derived from up-to-date LiDAR data. The long-term aim is to develop a palaeoenvironmental model and thus to reconstruct landscape changes caused by human activities. The focus of the study is the Peitz ironwork in SE Brandenburg, which was a large consumer of commodities for about 300 years. During the time it operated, extensive transformations are supposed to have affected the landscape in the vicinity because of wood consumption and especially charcoal production. Digital datasets about forested areas for different timespans reconstructed from historical maps were made available. In combination with dendrochronological dating of charred trees, the spatiotemporal dimension of charcoal kilns was determined. Also, sites of former bog iron ore mining could be identified. Moreover, the different sources contain further information about other forms of land uses such as agriculture, pastoralism and even viticulture. In conclusion we can highlight that the mosaic of past land use systems is different from the modern structure but that major changes in the forests have been retained.}, language = {en} } @inproceedings{TaklaMuellerRoesleretal., author = {Takla, Melanie and M{\"u}ller, Frank and R{\"o}sler, Horst and Raab, Alexandra and Raab, Thomas}, title = {Forestry and charcoal burning in the vicinity of the ironwork Peitz (South Brandenburg, Germany) - What do we know from historical and archaeological data?}, series = {European Geosciences Union, General Assembly 2014, Vienna, Austria, 27 April - 02 May 2014}, booktitle = {European Geosciences Union, General Assembly 2014, Vienna, Austria, 27 April - 02 May 2014}, publisher = {European Geophysical Society}, address = {Katlenburg-Lindau}, abstract = {The former royal forest districts around Peitz (South Brandenburg, Germany) were used to produce charcoal for the ironwork Peitz (1554 to 1856). More than 800 archaeologically excavated ground plans of charcoal kilns give evidence of the burning activity in the study area "J{\"a}nschwalde Heide" which is only a small part of the whole forest district. The study area in the apron of the active lignite mine J{\"a}nschwalde comprises the royal forest "J{\"a}nschwalder Heide" and the surrounding community forests. Our study approach combines archaeological research, a GIS-based approach (historical maps, airborne laser scanning (ALS) data, etc.) and archival studies.}, language = {en} } @inproceedings{TaklaMuellerRoesleretal., author = {Takla, Melanie and M{\"u}ller, Frank and R{\"o}sler, Horst and Raab, Alexandra and Raab, Thomas}, title = {Forestry and charcoal burning in the vicinity of the ironwork Peitz (South Brandenburg, Germany) - What do we know from historical and archaeological data?}, series = {3rd Annual ICLEA Workshop 2014, Dynamics of Climate and Landscape Evolution of Cultural Landscapes in the Northern Central European Lowlands since the Last Ice Age}, booktitle = {3rd Annual ICLEA Workshop 2014, Dynamics of Climate and Landscape Evolution of Cultural Landscapes in the Northern Central European Lowlands since the Last Ice Age}, editor = {Schwab, Markus J. and Theuerkauf, Martin and Brauer, Achim and Wilmking, Martin and Lampe, Reinhard}, publisher = {GFZ German Research Centre for Geosciences}, address = {Potsdam}, doi = {10.2312/GFZ.b103-14028}, pages = {51}, language = {en} } @misc{NoiaJuniorRuaneAthanasiadisetal., author = {N{\´o}ia-J{\´u}nior, Rog{\´e}rio de S. and Ruane, Alex C. and Athanasiadis, Ioannis N. and Ewert, Frank and Harrison, Matthew Tom and J{\"a}germeyr, Jonas and Martre, Pierre and M{\"u}ller, Christoph and Palosuo, Taru and Salmer{\´o}n, Montserrat and Webber, Heidi and Maccarthy, Dilys Sefakor and Asseng, Senthold}, title = {Crop models for future food systems}, series = {One earth}, volume = {8}, journal = {One earth}, number = {10}, publisher = {Elsevier BV}, address = {Amsterdam}, issn = {2590-3322}, doi = {10.1016/j.oneear.2025.101487}, pages = {1 -- 7}, abstract = {Global food systems face intensifying pressure from climate change, resource scarcity, and rising demand, making their transformation toward resilience and sustainability urgent. Process-based crop growth models (CMs) are critical for understanding cropping system dynamics and supporting decisions from crop breeding to adaptive management across diverse environments. Yet, current CMs struggle to capture extreme events, novel production systems, and rapidly evolving data streams, limiting their ability to inform robust and timely decisions. Here, we outline CM structure, identify key knowledge gaps, and propose six priorities for next-generation CMs: (1) expand applications to extremes and to diverse systems; (2) support climate-resilient breeding; (3) integrate with machine learning for better inputs and forecasts; (4) link with standardized sensor and database networks; (5) promote modular, open-source architectures; and (6) build capacity in under-resourced regions. These priorities will substantially enhance CM robustness, comparability, and usability, reinforcing their role in guiding sustainable food system transformation.}, language = {en} }