Journal Article (526)

21.
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Wang, H.; Herrmann, M.; Schroeter, S. A.; Zerfaß, C.; Lehmann, R.; Lehmann, K.; Ivanova, A.; Pohnert, G.; Gleixner, G.; Trumbore, S. E. et al.; Totsche, K. U.; Küsel, K.: Groundwater microbiomes balance resilience and vulnerability to hydroclimatic extremes. Communications Earth & Environment 6, 683 (2025)
22.
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Kraft, B.; Nelson, J. A.; Walther, S.; Gans, F.; Weber, U.; Duveiller, G.; Reichstein, M.; Zhang, W.; Rußwurm, M.; Tuia, D. et al.; Körner, M.; Hamdi, Z. M.; Jung, M.: On the added value of sequential deep learning for the upscaling of evapotranspiration. Biogeosciences 22 (12), pp. 3965 - 3987 (2025)
23.
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Heinrich, S.; Yu, X.; Limousin, J.-M.; Werner, C.; Bastos, A.; Hoek van Dijke, A. J.; Walther, S.; Kroll, J.; Orth, R.: No legacy effects of severe drought on carbon and water fluxes in a Mediterranean oak forest. Plant Biology (2025)
24.
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Fluhrer, A.; Baur, M.; Piles, M.; Bayat, B.; Rahmati, M.; Chaparro, D.; Dubois, C.; Hellwig, F.; Montzka, C.; Kübert, A. et al.; Mueller, M.; Augscheller, I.; Jonard, F.; Schellenberg, K.; Jagdhuber, T.: Assessing evapotranspiration dynamics across central Europe in the context of land-atmosphere drivers. Biogeosciences 22 (12), pp. 3721 - 3746 (2025)
25.
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Slater, L.; Blougouras, G.; Deng, L.; Deng, Q.; Ford, E.; Hoek van Dijke, A. J.; Huang, F.; Jiang, S.; Liu, Y.; Moulds, S. et al.; Schepen, A.; Yin, J.; Zhang, B.: Challenges and opportunities of ML and explainable AI in large-sample hydrology. Philosophical Transactions of the Royal Society of London - Series A: Mathematical Physical and Engineering Sciences (383), 20240287 (2025)
26.
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Triches, N. Y.; Engel, J.; Bolek, A.; Vesala, T.; Marushchak, M. E.; Virkkala, A.-M.; Heimann, M.; Göckede, M.: Practical guidelines for reproducible N2O flux chamber measurements in nutrient-poor ecosystems. Atmospheric Measurement Techniques 18 (14), pp. 3407 - 3424 (2025)
27.
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Kariyathan, T.; Bastos, A.; Reichstein, M.; Peters, W.; Marshall, J.: Limitations in the use of atmospheric CO2 observations to directly infer changes in the length of the biospheric carbon uptake period. Atmospheric Chemistry and Physics 25 (14), pp. 7863 - 7878 (2025)
28.
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Ghausi, S. A.; Mccoll, K.; Zehe, E.; Kleidon, A.: Explaining observed daily variations and decadal trends in the diurnal air temperature range. Geophysical Research Letters 52 (14), e2024GL113595 (2025)
29.
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Bolek, A.; Schlutow, M.; Yazbeck, T.; Triches, N. Y.; Heimann, M.; Göckede, M.: Impact of long-term drainage on carbon fluxes in the high-latitude permafrost region. Global Change Biology 31 (7), e70346 (2025)
30.
Journal Article
Botia, S.; Munassar, S.; Koch, F.-T.; Custódio, D.; Basso, L. S.; Komiya, S.; Lavric, J. V.; Walter, D.; Gloor, M.; Martins, G. et al.; Naus, S.; Koren, G.; Luijkx, I.; Hantson, S.; Miller, J. B.; Peters, W.; Rödenbeck, C.; Gerbig, C.: Combined CO2 measurement record indicates Amazon forest carbon uptake is offset by savanna carbon release. Atmospheric Chemistry and Physics 25 (12), pp. 6219 - 6255 (2025)
31.
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Nadolski, L.; El-Madany, T. S.; Nelson, J. A.; Carrara, A.; Moreno, G.; Nair, R. K. F.; Luo, Y.; Hildebrandt, A.; Rolo, V.; Reichstein, M. et al.; Lee, S.-C.: Altered seasonal sensitivity of net ecosystem exchange to controls driven by nutrient balances in a semi-arid savanna. Biogeosciences 22 (12), pp. 2935 - 2958 (2025)
32.
Journal Article
Vogt, J.; Pallandt, M.; Basso, L. S.; Bolek, A.; Ivanova, K.; Schlutow, M.; Celis, G.; Kuhn, M.; Mauritz, M.; Schuur, E. A. G. et al.; Arndt, K.; Virkkala, A.-M.; Wargowsky, I.; Göckede, M.: ARGO: ARctic greenhouse Gas Observation metadata version 1. Earth System Science Data 17 (6), pp. 2553 - 2573 (2025)
33.
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Uckan, Y.; Ruiz-Vásquez, M.; De Polt, K.; Orth, R.: Global relevance of atmospheric and land surface drivers for hot temperature extremes. Earth System Dynamics 16 (3), pp. 869 - 889 (2025)
34.
Journal Article
Robin, M.; Durgante, F. M.; Mallmann, C. L.; Hadlich, H. L.; Römermann, C.; de Falcão, L. S.; Lacerda, C. D.; Duvoisin Jr., S.; Wittmann, F.; Piedade, M. T. F. et al.; Schöngart, J.; Gomes Alves, E.: Leaf spectroscopy as a tool for predicting the presence of isoprene emissions and terpene storage in central Amazon forest trees. Plant Methods 21, 78 (2025)
35.
Journal Article
Bramble, D. S.; Schöning, I.; Brandt, L.; Poll, C.; Kandeler, E.; Ulrich, S.; Mikutta, R.; Mikutta, C.; Silver, W. L.; Totsche, K. U. et al.; Kaiser, K.; Schrumpf, M.: Land use and mineral type determine stability of newly formed mineral-associated organic matter. Communications Earth & Environment 6, 415 (2025)
36.
Journal Article
Robin, M.; Alves, E. G.; Taylor, T. C.; Oliveira, D. P.; Duvoisin Jr., S.; Gonçalves, J. F. C.; Schöngart, J.; Wittmann, F.; Piedade, M. T. F.; Trumbore, S. E. et al.; Schietti, J.: Leaf isoprene and monoterpene emissions vary with fast-slow carbon economics strategies in central Amazon woody species. Frontiers in Plant Science 16, 1561316 (2025)
37.
Journal Article
Baghirov, Z.; Jung, M.; Reichstein, M.; Körner, M.; Kraft, B.: H2MV (v1.0): Global physically-constrained deep learning water cycle model with vegetation. Geoscientific Model Development 18 (10), pp. 2921 - 2943 (2025)
38.
Journal Article
de Souza, V. F.; Robin, M.; Rasulov, B.; Talts, E.; Alves, E. G.; Almutairi, B. O.; Niinemets, Ü.: High temperature acclimation of isoprene emission in date palm is associated with enhanced substrate availability and reduction in synthase activity. Physiologia Plantarum 177 (3), e70256 (2025)
39.
Journal Article
De, R.; Bao, S.; Koirala, S.; Brenning, A.; Reichstein, M.; Tagesson, T.; Liddell, M.; Ibrom, A.; Wolf, S.; Sigut, L. et al.; Hörtnagl, L.; Woodgate, W.; Korkiakoski, M.; Merbold, L.; Black, T. A.; Roland, M. E.; Klosterhalfen, A.; Blanken, P. D.; Knox, S.; Sabbatini, S.; Gielen, B.; Montagnani, L.; Fensholt, R.; Wohlfahrt, G.; Desai, A. R.; Paul-Limoges, E.; Galvagno, M.; Hammerle, A.; Jocher, G.; Reverter, B. R.; Holl, D.; Chen, J.; Vitale, L.; Arain, M. A.; Carvalhais, N.: Addressing challenges in simulating inter-annual variability of gross primary production. Journal of Advances in Modeling Earth Systems 17 (5), e2024MS004697 (2025)
40.
Journal Article
Poehls, J.; Alonso, L.; Koirala, S.; Carvalhais, N.; Reichstein, M.: Downscaling soil moisture to sub-km resolutions with simple machine learning ensembles. Journal of Hydrology 652, 132624 (2025)
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