Publications of Markus Reichstein

Zhao, W.; Winkler, A.; Reichstein, M.; Orth, R.; Gentine, P.: Learning evaporative fraction with memory. Hydrology and Earth System Sciences 30 (16), pp. 5373 - 5394 (2026)

Wang, S.; Yang, H.; Koirala, S.; Santoro, M.; Candotti, A.; Weber, U.; De, R.; Robin, C.; Cremer, F.; Forkel, M. et al.; Reichstein, M.; Carvalhais, N.: A global dataset of forest disturbance regimes derived from satellite biomass observations. Earth System Science Data 18 (8), pp. 5895 - 5913 (2026)

Scipal, K.; Albinet, C.; Caccia, M.; Carbone, A.; Carvalhais, N.; Chave, J.; Dall, J.; Fehringer, M.; Leanza, A.; Le Toan, T. et al.; Malik, M.; Novelli, A.; Paillou, P.; Papathanassiou, K. P.; Patterson, J.; Pinheiro, M.; Quegan, S.; Reichstein, M.; Rommen, B.; Saatchi, S.; Shugart, H. H.; Tebaldini, S.; Ulander, L. M. H.; Valentino, A.; Willemsen, P.; Williams, M.: BIOMASS: ESA’s P-Band SAR Mission. Proceedings of the IEEE 114 (2), pp. 220 - 235 (2026)

Tissink, M.; Radolinski, J.; Cunow, J.; Schaumberger, A.; Joseph, L. S. K.; Migliavacca, M.; Reichstein, M.; Bahn, M.: Synergistic effects of warming and elevated CO₂ intensify drought impacts on grassland carbon and water fluxes. Science Advances 12 (26), eaea8988 (2026)

De, R.; Brenning, A.; Reichstein, M.; Sigut, L.; Reverter, B. R.; Korkiakoski, M.; Paul-Limoges, E.; Blanken, P. D.; Black, T. A.; Gielen, B. et al.; Tagesson, T.; Wohlfahrt, G.; Montagnani, L.; Wolf, S.; Chen, J.; Liddell, M.; Desai, A.; Koirala, S.; Carvalhais, N.: Inter–annual variability of model parameters improves simulation of annual gross primary production. Journal of Advances in Modeling Earth Systems 18 (6), e2025MS005116 (2026)

Nadolski, L.; Wesselkamp, M.; El-Madany, T. S.; Lange, M.; Nelson, J. A.; Carrara, A.; Wieckowski, A.; Hildebrandt, A.; Reichstein, M.; Lee, S.-C.: Impacts of precipitation variability on carbon flux dynamics of global semi‐arid savannas. Global Change Biology 32 (6), e70954 (2026)

Baghirov, Z.; Reichstein, M.; Kraft, B.; Ahrens, B.; Körner, M.; Jung, M.: H2CM (v1.0): hybrid modeling of global water–carbon cycles constrained by atmospheric and land observations. Geoscientific Model Development 19 (10), pp. 4467 - 4496 (2026)

Kreibich, H.; Swain, D. L.; Chang, F.-J.; Reichstein, M.; Benson, V.; Holden, P.; Yang, T.; Sultana, F.; Funk, C.; Kobei, D.: Stewardship under shifting drought baselines. One Earth 9 (5), 101707 (2026)

Ascenso, G.; Giuliani, M.; Pérez-Aracil, J.; Salcedo-Sanz, S.; Bertini, C.; Bonetti, P.; Camps-Valls, G.; Fernández Torres, M. Á.; Ficchì, A.; Linscheid, N. et al.; Merlo, M.; Palcic, G.; Reichstein, M.; Restelli, M.; Toreti, A.; Walt, E.; Castelletti, A.: The maturation of AI in drought science: A review of trends, pitfalls, and priorities. Water Resources Research 62 (4), e2025WR041828 (2026)

Hanggara, B. B.; El-Madany, T. S.; Carrara, A.; Moreno, G.; Gonzalez-Cascon, R.; Burchard-Levine, V.; Martin, P.; Metzger, S.; Hildebrandt, A.; Reichstein, M. et al.; Lee, S.-C.: Non‐abrupt vegetation changes due to altered nutrient balance make complex scale‐dependent warming and cooling effects. Global Change Biology 32 (3), e70782 (2026)

Ruiz-Vásquez, M.; O, S.; Brenning, A.; Reichstein, M.; Balsamo, G.; Orth, R.: Land surface information from satellites boost near-surface temperature forecast skill. Communications Earth & Environment 7, 245 (2026)

Luo, H.; Bastos, A.; Reichstein, M.; Duveiller, G.; Kretzschmar, J.; Quaas, J.: Hydroclimate shapes photosynthetic sensitivity to cloud cover across global terrestrial ecosystems. Nature Communications 17, 1646 (2026)

Jin, Z.; Liu, L.; Yang, Q.; Jia, X.; Tao, S.; Guo, Y.; Ghosh, R.; Wang, S.; Zhu, Q.; Jung, M. et al.; Guan, K.; Kumar, V.; Reichstein, M.; Fang, J.; Luo, Y.: Knowledge-guided machine learning for global change ecology research. Global Change Biology 32 (2), e70742 (2026)

Li, N.; Sippel, S.; Linscheid, N.; Mahecha, M. D.; Reichstein, M.; Bastos, A.: Quantifying the time of emergence of the anthropogenic signal in the global land carbon sink. Biogeosciences 23 (2), pp. 767 - 792 (2026)

Eigenbrod, F.; Alexander, P.; Apfel, N.; Athanasiadis, I.; Berger, T.; Bullock, J.; Duveiller, G.; Equihua, J.; Menezes, I.; Moreira, R. et al.; Paudel, D.; Sitokonstantinou, V.; Reichstein, M.; Willcock, S.; Woodman, T.: Causal machine learning methods for understanding land use and land cover change. Landscape Ecology 41, 25 (2026)

Li, W.; Duveiller, G.; Gans, F.; Smits, J.; Kraemer, G.; Frank, D.; Mahecha, M. D.; Weber, U.; Migliavacca, M.; Ceglar, A. et al.; Keenan, T. F.; Reichstein, M.: Globally synchronized changes in the biosphere, atmosphere, and society identified using public data. One Earth 9 (1), 101559 (2026)

Zhang, J.; Yu, K.; Reichstein, M.; Xu, L.; Wright, I. J.; Migliavacca, M.; Gomarasca, U.; Laughlin, D. C.; Cen, X.; Liu, C. et al.; He, H.; He, N.: Trait space and compactness: A new perspective on explaining variations in primary productivity. Ecology 107 (1), e70278 (2026)

Tautenhahn, S.; Jung, M.; Rzanny, M.; Mäder, P.; Reichstein, M.; Ahrens, B.; Bebber, A.; Boho, D.; Chytrý, M.; Dengler, J. et al.; Jansen, F.; Katal, N.; Midolo, G.; Tichý, L.; Walther, S.; Weber, U.; Wittich, H. C.; Wäldchen, J.: Urbanization signatures on climate and soils uncovered by crowd-sensed plants. Nature Cities 3, 126–135 (2026)

ElGhawi, R.; Reimers, C.; Schnur, R.; Reichstein, M.; Körner, M.; Carvalhais, N.; Winkler, A. J.: Hybrid‐modeling of land‐atmosphere fluxes using integrated machine learning in the ICON‐ESM modeling framework. Journal of Advances in Modeling Earth Systems 17 (12), e2025MS005102 (2025)

Wang, Lijun, L.; Shi, L.; Reimers, C.; Wang, Y.; He, L.; Wang, Y.; Reichstein, M.; Jiang, S.: A self-supervised deep learning model for enhanced generalization in soil moisture prediction. Journal of Hydrology 662 (Part B), 133974 (2025)