Most important publications of TriCSS

2020

  • Münnich, R. et al. (2020) Zur Entwicklung eines kleinräumigen und sektorenübergreifenden Mikrosimulationsmodells für Deutschland. In: Hannappel M., Kopp J. (eds) Mikrosimulationen. Springer VS, Wiesbaden
  • Burgard J.P., Krause J., Merkle H., Münnich R., Schmaus S. (2020) Dynamische Mikrosimulationen zur Analyse und Planung regionaler Versorgungsstrukturen in der Pflege. In: Hannappel M., Kopp J. (eds) Mikrosimulationen. Springer VS, Wiesbaden

2019

  • Münnich, R., Burgard, J.P. & Krause, J. (2019): Adjusting selection bias in German health insurance records for regional prevalence estimation. Popul Health Metrics (2019) 17: 13. doi.org/10.1186/s12963-019-0189-5
  • Burgard, J.P., Krause, J. & Münnich, R. (2019): Penalized Small Area Models for the Combination of Unit- and Area-level Data. Research Papers in Economics No. 5/19

2018

  • Bruns, A. & Gerend, J. (2018): In search of a decolonial urban transformation. GAIA 27 (3), S. 293– 297
  • Beninde, J.; Feldmeier, S.; Veith, M. & Hochkirch, A. (2018): Admixture of hybrid swarms of native and introduced lizards in cities is determined by the cityscape structure and invasion history. Proceedings of the Royal Society B 285: 20180143. DOI: 10.1098/rspb.2018.0143
  • Lebherz, D. S.; Lorig, F. & Timm, I. J. (2018): Agent-Based modeling and simulation of individual elderly care decision-making. In: Proceedings of the 2018 Winter Simulation Conference, IEEE
  • Ruf, T.; Makselon, J.; Udelhoven, T. & Emmerling, C.(2018): Soil quality indicator response to land-use change from annual to perennial bioenergy cropping systems in Germany. GCB Bioenergy. DOI: 10.1111/gcbb.12513
  • Zimmermann, T. & Münnich, R. (2018): Small area estimation with a lognormal mixed model under informative sampling. In: Journal of Official Statistics 34, Nr. 2, S. 1-21. DOI: 10.1515/JOS-2018-xxxx

2017

  • Berndt, J.O.; Timm, I.J.; Krause, J.; Münnich, R. (2017): Toward Hybrid Simulations For Care Demand Forecasting. Accepted for: 2017 Winter Simulation Conference (WSC 2017). Las Vegas, NV.
  • Hochkirch, A.; Beninde, J.; Fischer, M.; Krahner, A.; Lindemann, C.; Matenaar, D.; Rohde, K.; Wagner, N.; Wesch, C.; Wirtz, S.; Zink, A.; Lötters, S.; Schmitt, T.; Proelss, A. & Veith, M. (in press): License to kill? – Disease eradication programs may not be in line with the Convention on Biological Diversity. Conservation Letters 11: 1-6.
  • Krause, J.; Schmaus, S.; Münnich, R.; Berndt, J.O.; Timm, I.J.; Lorig, F. (2017): Planung regionaler Pflegeversorgung mit Hilfe von Mikrosimulationen. In: Book of Abstracts, Statistische Woche 2017, pp 182-183. Rostock. (2. Preis im Best Poster Award der Statistischen Woche).
  • Wagner, N.; Hochkirch, A.; Martin, H.; Matenaar, D.; Rohde, K.; Wacht, F.; Wesch, C.; Wirtz, S.; Klein, R.; Lötters, S.; Proelss, A. & Veith, M. (2017): De-extinction, nomenclature, and the law - How we name resurrected species can have legal impacts. Science 356: 1016-1017.
  • Wagner, J.; Münnich, R.; Hill, J.; Stoffels, J. & Udelhoven, T. (2017). Non‐parametric small area models using shape‐constrained penalized B‐splines. Journal of the Royal Statistical Society: Series A (Statistics in Society), 180 (4), pp.1089-1109.

2016

  • Feldmeier, S.; Schefczyk, L.; Wagner, N.; Heinemann, G.; Veith, M.; Lötters, S. (2016): Exploring the distribution of the spreading lethal salamander chytrid fungus in its invasive range in Europe - a macroecological approach. PLoS ONE 11(10): e0165682, 17pp. doi:10.1371/journal.pone.0165682.
  • Hochkirch, A. (2016): The insect crisis we can’t ignore. Nature 359:141.
  • Müller-Fürstenberger, G.; Schumacher, I. (2016): The Consequences of a one-sided Externality in a Dynamic, two-agent Framework. European Journal of Operational Research.
  • Münnich, R.; Wagner, J.; Hill, J.; Stoffels, J.; Buddenbaum, H.; Udelhoven, T. (2016): Schätzung von Holzvorräten unter Verwendung von Fernerkundungsdaten. AStA Wirtschafts- und Sozialstatistisches Archiv, 10 (2): 95-112.
  • Zentek, R.; Heinemann, G.; Sachs, E. (2016): Climatology of wind, kinetic energy and temperature spectra using a high-resolution climate model for mid-Europe. J. of Climate 29: 963-974.

2015

  • Beninde, J., Veith, M. & A. Hochkirch (2015): Biodiversity in cities needs space: A meta-analysis of factors determining intra-urban biodiversity variation. Ecology Letters 18: 581-592. 
  • Müller-Fürstenberger,  G.  &  I.  Schumacher.  2015.  "Insurance  and  Climate-Driven Extreme Events."  Journal  of  Economic  Dynamics  and  Control,  Volume  54,  May 2015, p. 59-73. 
  • Lamprecht, S., Stoffels, J., Dotzler, J., Haß, E. & T. Udelhoven (2015): aTrunk — An ALS-Based Trunk Detection Algorithm. Remote Sensing, 7: 9975–9997. 
  •  Ludwig, M., Achtenhagen, J., Miltner, A., Eckhardt, K.U., Leinweber, P., Emmerling, C. & S. Thiele-Bruhn (2015): Microbial contribution to SOM quantity and quality in density fractions of temperate arable soils. Soil Biology and Biochemistry 81: 311-322.
  • Saxler, B., Siegfried, J. & A. Proelß (2015): International Liability for Transboundary Damage Arising from Stratospheric Aerosol Injections, Law, Innovation and Technology (LIT) 7: 112-147. 

2014

  • Hochkirch, A., McGowan, P.J.K., van der Sluijs, J. (2014): Biodiversity reports need author rules. Nature 516: 170.
  • Hochkirch, A. (2014): Biodiversity: Broaden the Search. Science 343: 248. 
  • Stephan, G., Müller-Fürstenberger, G. (2014):  Global Warming,  Technological  Change  and  Trade  in Carbon  Energy:  Challenge  or  Threat?  Environment  and  Resource Economics, pp. 1-19. 
  • Machwitz  M.,  Giustarini,  L.,  Bossung,  C.,  Frantz,  D.,  Schlerf,  M.,  Lilienthal,  H., Wandera, L., Matgen, P., Hoffmann, L., Udelhoven, T. (2014): Enhanced biomass prediction by assimilating satellite data into a crop growth model. Environmental Modelling & Software, 62, 437-453.  
  • Münnich,  R.,  Seger,  JG.  (2014):  Impact  of  Survey  Quality  on  Composite Indicators. In: Sustainability Accounting, Management and Policy Journal 5, Nr. 3, S. 268 - 291.