Scientific Publications

Liu, J.; Qian, Y.; Wang, S.; Gu, W.; Guo, D.: Characterizing diurnal variations and driving factors of major gaseous pollutants across China. Atmospheric Environment 367, 121759 (2026)

Wang, C.; Chen, J.; Lee, S.-C.; Xu, C.-Y.: A multivariate framework to quantify propagation characteristics from soil drought to socio-ecological productivity. Journal of Hydrology: Regional Studies 63, 103080 (2026)

Gnanamoorthy, P.; Zhao, J.; Chen, Y.; Jiao, L.; Sawasdchai, B.; Jing, Z.; Chakraborty, A.; Deb Burman, P. K.; Lee, S.-C.; Pugh, T. A. M. et al.; Zhang, Y.; Song, Q.: Post-drought vegetation shifts lead to divergent carbon, water and energy responses in a Savanna ecosystem of southwest China. Ecology Letters 29 (1), e70321 (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)

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 (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)

Ermitão, T.; Gouveia, C.; Russo, A.; Burton, C.; Churiulin, E.; de Souza, J. G.; O’ Sullivan, M.; Ciais, P.; Zaehle, S.; Sitch, S. et al.; Li, W.; Xu, Y.; Bastos, A.: Influence of simulated vs. satellite-based burned areas on modelled terrestrial carbon fluxes. Carbon Balance and Management 21, 9 (2026)

Pu, J.; Chang, Y.; Winkler, A.; Zuo, Z.; Chen, C.; Knyazikhin, Y.; Myneni, R. B.: Large gains in leaf scale photosynthetic rates of sparsely vegetated arid and semi-arid lands. Communications Earth & Environment (2025)

Bonilla-Flores, M.; Karanovic, I.; Echeverría-Galindo, P.; Frenzel, P.; Pérez, L.; Börner, N.; Dulias, K.; Wang, J.; Schwalb, A.: Heterocypris exodonta sp. nov. (Ostracoda, Cyprididae), morphological and molecular description of a high altitude asexual microcrustacean from the Nam Co region, Southern Tibetan Plateau. Zookeys 1264, pp. 207 - 248 (2025)

Qian, C.; Lee, S.-C.; Yue, Y.; Wang, S.; Song, Q.; Kattel, G.; Yu, Z.-G.: Extreme high-temperature events cause abrupt changes in ecosystem–atmosphere interactions of a representative subtropical forest of the central Yangtze river basin. Ecohydrology 18 (8), e70160 (2025)

Pu, J.; Chang, Y.; Gao, S.; Bao, S.; Yan, K.; Sun, X.; Carvalhais, N.; Myneni, R. B.: MCI GPP: ensembling a global model- and climate-independent gross primary productivity for 2001–2023. Scientific Data 12, 1965 (2025)

Cao, G.; Dai, L.; Qiu, J.; Peng, T.; Wang, Y.; Liu, J.; Malo, C. U.; Ye, Y.; Bi, Q.-F.: The importance of soil depth in determining the impacts of mixed plantations with thinning on soil multifunctionality. Plant and Soil 517, pp. 509 - 524 (2025)

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)

ElGhawi, R.; Winkler, A.; Reimers, C.; Schall, A.; Gensheimer, J.; Kraft, B.: Imitation or identification: limitations of deep learning in extrapolating to future climate-carbon cycle change. Machine Learning: Earth 1 (1), 01LT02 (2025)

Khand, K.; Senay, G. B.; Friedrichs, M.; Yi, K.; Fisher, J. B.; Wang, L.; Suvočarev, K.; Ahmadi, A.; Chu, H.; Good, S. et al.; Mallick, K.; Missik, J.; Nelson, J. A.; Reed, D. E.; Wang, T.; Xiao, X.: A novel approach to increase accuracy in remotely sensed evapotranspiration through basin water balance and flux tower constraints. Journal of Hydrology 662/Part A, 133824 (2025)

Li, D.; Chen, J. M.; Duveiller, G.; Frankenberg, C.; Köhler, P.; Kang: A more precise retrieval of sun-induced chlorophyll fluorescence from satellite data using artificial neural networks. Remote Sensing of Environment 330, 114987 (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)

Reinsch, S.; Lebron, I.; de Jonge, L. W.; Weber, P. L.; Norgaard, T.; Arthur, E.; Gomes, L.; Pesch, C.; Konstantinos, K.; Zalidis, G. et al.; Epelde, L.; Romic, M.; Romic, D.; Zovko, M.; Reljic, M.; Heikkinen, J.; Feeney, C.; Bentley, L.; Levy, P.; Vanguelova, E.; Panagos, P.; Schneider, F.; Ahrens, B.; Leifeld, J.; Hugelius, G.; Emmett, B. A.; Cosby, B. J.; Brentegani, M.; Tandy, S.; Thomas, A.; van Soest, M. A. J.; Robinson, D. A.: The fraction of carbon in soil organic matter as a national-scale soil process indicator. Global Change Biology 31 (11), e70572 (2025)