Unsere Publikationen
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2022
Chen, S., Klotzbücher, T., Lechtenfeld, O. J., Hong, H., Liu, C., Kaiser, K., Mikutta, C., & Mikutta, R. (2022). Legacy Effects of Sorption Determine the Formation Efficiency of Mineral-Associated Soil Organic Matter. Environmental Science and Technology, 56(3), 2044-2053. https://doi.org/10.1021/acs.est.1c06880
Cheng, L., Zhang, C., Zhou, Y., Horn, I., Weyer, S., & Holtz, F. (2022). Experiments reveal enrichment of 11B in granitic melt resulting from tourmaline crystallisation. Geochemical Perspectives Letters, 20, 37-42. https://doi.org/10.7185/GEOCHEMLET.2206
Coimbra, R., Kemna, K. B., Rocha, F., & Horikx, M. (2022). Customised display of large mineralogical (XRD) data: Geological advantages and applications. Depositional Record, 8(2), 575-589. https://doi.org/10.1002/dep2.174, https://doi.org/10.15488/12922
Comte, A., Campagne, C. S., Lange, S., Bruzón, A. G., Hein, L., Santos-Martín, F., & Levrel, H. (2022). Ecosystem accounting: Past scientific developments and future challenges. Ecosystem Services, 58, Artikel 101486. https://doi.org/10.1016/j.ecoser.2022.101486
Dang, K. B., Nguyen, T. H. T., Nguyen, H. D., Truong, Q. H., Vu, T. P., Pham, H. N., Duong, T. T., Giang, V. T., Nguyen, D. M., Bui, T. H., & Burkhard, B. (2022). U-shaped deep-learning models for island ecosystem type classification, a case study in Con Dao Island of Vietnam. One Ecosystem, 7, Artikel e79160. https://doi.org/10.3897/oneeco.7.e79160
Dao, T. T. (2022). Fates of lignin and carbohydrates in Siberian soils. [Dissertation, Gottfried Wilhelm Leibniz Universität Hannover]. Leibniz Universität Hannover. https://doi.org/10.15488/13085
Dao, T. T., Mikutta, R., Sauheitl, L., Gentsch, N., Shibistova, O., Wild, B., Schnecker, J., Bárta, J., Čapek, P., Gittel, A., Lashchinskiy, N., Urich, T., Šantrůčková, H., Richter, A., & Guggenberger, G. (2022). Lignin Preservation and Microbial Carbohydrate Metabolism in Permafrost Soils. Journal of Geophysical Research: Biogeosciences, 127(1), Artikel e2020JG006181. https://doi.org/10.1029/2020JG006181
Demattê, J. A. M., Paiva, A. F. D. S., Poppiel, R. R., Rosin, N. A., Ruiz, L. F. C., Mello, F. A. D. O., Minasny, B., Grunwald, S., Ge, Y., Dor, E. B., Gholizadeh, A., Gomez, C., Chabrillat, S., Francos, N., Ayoubi, S., Fiantis, D., Biney, J. K. M., Wang, C., Belal, A., ... Silvero, N. E. Q. (2022). The Brazilian Soil Spectral Service (BraSpecS): A User‐Friendly System for Global Soil Spectra Communication. Remote sensing, 14(3), Artikel 740. https://doi.org/10.3390/rs14030740, https://doi.org//10.3390/rs14061459
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