Publikationen von Markus Reichstein

Reichstein, M.; Frank, D.; Sillmann, J.; Sippel, S.: Outlook: Challenges for societal resilience under climate extremes. In: Climate extremes and their implications for impact and risk assessment, S. 341 - 353 (Hg. Sillmann, J.; Sippel, S.; Russo, S.). Elsevier, Amsterdam (2019)

Requena-Mesa, C.; Reichstein, M.; Mahecha, M. D.; Kraft, B.; Denzler, J.: Predicting landscapes from environmental conditions using generative networks. In: Pattern Recognition, DAGM GCPR 2019, S. 203 - 217 (Hg. FInk, G. A.; Frintrop, S.; Jiang, X.). Springer, Cham (2019)

Trifunov, V. T.; Shadaydeh, M.; Runge, J.; Eyring, V.; Reichstein, M.; Denzler, J.: Nonlinear causal link estimation under hidden confounding with an application to time series anomaly detection. In: Pattern Recognition, DAGM GCPR 2019, S. 261 - 273 (Hg. Fink, G. A.; Frintrop, S.; Jiang, X.). Springer, Cham (2019)

Reichstein, M.; Richardson, A. D.; Migliavacca, M.; Carvalhais, N.: Plant–environment interactions across multiple scales. In: Ecology and the Environment, S. 1 - 27 (Hg. Monson, R. K.). Springer, New York (2014)

Frank, D.; Reichstein, M.; Miglietta, F.; Pereira, J.S.: Impact of climate variability and extremes on the carbon cycle of the Mediterranean region. In: Regional Assessment of Climate Change in the Mediterranean; Volume 2: Agriculture, Forests and Ecosystem Services and People, Bd. 51, S. 31 - 47 (Hg. Navarra, A.; Tubiana, L.). Springer, New York (2013)

Aubinet, M.; Feigenwinter, C.; Heinesch, B.; Laffineur, Q.; Papale, D.; Reichstein, M.; Rinne, J.; van Gorsel, E.: Nighttime flux correction. In: Eddy Covariance: A Practical Guide to Measurement and Data Analysis Series: Springer Atmospheric Sciences (Hg. Aubinet, M.; Vesala, T.; Papale, D.) (2012)

Reichstein, M.; Stoy, P. C.; Desai, A. R.; Lasslop, G.; Richardson, A. D.: Partitioning of net fluxes. In: Eddy Covariance: A Practical Guide to Measurement and Data Analysis, S. 263 - 289 (Hg. Aubinet, M.; Vasala, T.; Papale, D.). Springer, Atmospheric Sciences (2012)

Richardson, A.D.; Aubinet, M.; Barr, A.G.; Hollinger, D.Y.; Ibrom, A.; Lasslop, G.; Reichstein, M.: Uncertainty quantification. In: Eddy Covariance: A Practical Guide to Measurement and Data Analysis (Hg. Aubinet, M.; Vesala, T.; Papale, D.) (2012)

Seneviratne, S. I.; Easterling, D.; Goodess, C. M.; Kanae, S.; Kossin, J.; Luo, Y.; Marengo, J.; McInnes, K.; Rahimi, M.; Reichstein, M. et al.; Sorteberg, A.; Vera, C.; Zhang, X.: Changes in climate extremes and their impacts on the natural physical environment. In: Managing the risks of extreme events and disasters to advance climate change adaptation: Special report of the Intergovernmental Panel on Climate Change, S. 109 - 230 (Hg. Field, C. B.; Barros, V.; Stocker, T. F.; Qin, D.; Dokken, D. J. et al.). Cambridge University Press, Cambridge (2012)

Eglin*, T.; Ciais, P.; Piao, S. L.; Barré, P.; Belassen, V.; Cadule, P.; Chenu, C.; Gasser, T.; Reichstein, M.; Smith, P.: Overview on response of global soil carbon pools to climate and land-use changes. In: Sustaining Soil Productivity in Response to Global Climate Change, S. 183 - 199. Wiley Blackwell, Osford (2011)

Reichstein, M.; Ågren, G. I.; Fontaine, S.: Is there a theoretical limit to soil carbon storage in old-growth forests? A model analysis with contrasting approaches. In: Old-Growth Forests, Bd. 207, S. 267 - 281 (Hg. Wirth, C.; Gleixner, G.; Heimann, M.). Springer, Berlin (2009)

Reichstein, M.; Janssens, I. A.: Semi-empirical modelling of the response of soil respiration to environmental factors in laboratory and field conditions. In: Soil Carbon Dynamics - an Integrated Methodology, S. 207 - 220 (Hg. Kutsch, W.; Bahn, M.; Heinemeyer, A.). Cambridge Univ. Press, Cambridge (2009)

Subke, J.-A.; Heinemeyer, A.; Reichstein, M.: Experimental design: scaling up in time and space, and its statistical considerations. In: Soil Carbon Dynamics - an Integrated Methodology, S. 34 - 48 (Hg. Kutsch, W.; Bahn, M.; Heinemeyer, A.). Cambridge Univ. Press, Cambridge (2009)

Reichstein, M.: Impact of climate change on forest soil carbon - Principles, Factors, Models, Uncertainties. In: Forestry and climate change, S. 127 - 135 (Hg. Freer-Smith, P. H.; Broadmeadow, M. S. J.; Lynch, J. M.). CABI Publ., Wallingford (2007)

Reichstein, M.; Tenhunen, J.; Berbigier, P.; Magliulo, E.; Miglietta, F.; Ourcival, J.-M.; Pecchiari, M.; Peressotti, A.; Rambal, S.; Valentini, R. et al.; Vitullo, M.: Mediterranean ecosystem carbon and water exchange in response to drought: monospecific evergreen forest versus multi-species macchia. In: Funktionelle Bedeutung von Biodiversität, S. 154 - 154. Parey, Berlin (2001)

Voigt, H.; Carvalhais, N.; Meuschke, M.; Reichstein, M.; Zarrie, S.; Lawonn, K.: VIST5: An adaptive, retrieval-augmented language model for visualization-oriented dialog. In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, S. 70 - 81. The 2023 Conference on Empirical Methods in Natural Language Processing, Singapure, 06. Dezember 2023 - 10. Dezember 2023. Association for Computational Linguistics, Singapur (2023)

Sillmann, J.; Christensen, I.; Hochrainer-Stigler, S.; Huang-Lachmann, J.-T.; Juhola, S.; Kornhuber, K.; Mahecha, M. D.; Mechler, R.; Reichstein, M.; Ruane, A. C. et al.; Schweizer, P.-J.; Williams, S.: Briefing note on systemic risk. International Science Council, S. 1 - 35 (2022)

Gottfriedsen, J.; Berrendorf, M.; Gentine, P.; Hassler, B.; Reichstein, M.; Weigel, K.; Eyring, V.: On the generalization of agricultural drought classification from climate data. In: NeurIPS 2021. Workshop - Tackling Climate Change with Machine Learning On the Generalization of ML-based Agricultural Drought Classification from Climate Date, 2021. (2021)

Requena Mesa, C.; Benson, V.; Reichstein, M.; Runge, J.; Denzler, J.: EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW, Nashville, TN, USA , 19. Juni 2021 - 25. Juni 2021. IEEE, Nashville, TN, USA (2021)

Adsuara, J. E.; Perez-Suay, A.; Moreno-Martınez, A.; Camps-Valls, G.; Kraemer, G.; Reichstein, M.; Mahecha, M. D.: Discovering differential equations from earth observation data. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, S. 3999 - 4002. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 26. September 2020 - 02. Oktober 2020. IEEE (2021)