Overview

The Biogeochemical Signals department is a newly formed department succeeding the former Biogeochemical Systems department headed by Prof. Dr. Martin Heimann, and the former research group on Terrestrial Biosphere Modelling. The main aim of the new department is to study and interpret observed large-scale biogeochemical signals in the Earth system by linking these signals to process-understanding and process-oriented modelling of key processes in the terrestrial biosphere. To accomplish this goal, the group develops and employs numerical models of terrestrial biosphere processes, and develops new observational constraints obtained from biosphere monitoring or ecosystem manipulation to challenge model formulations. An improved representation of key (eco-physiological) processes, in particular those affecting nutrient availability and its role in ecosystem dynamics, is a key component of the group's research. The group investigates the consequences of the coupling of the terrestrial biogeochemical cycles for biogeochemical and biogeophysical interactions with the climate system.

Latest Key Result

Botía, S., et al. (2021). The CO2 record at the Amazon Tall Tower Observatory: A new opportunity to study processes on seasonal and inter-annual scales. Global Change Biology, 00, 1– 24. https://doi.org/10.1111/gcb.15905

Latest publications

	Heimann, M., Jordan, A., Brand, W. A., Lavric, J. V., Moossen, H., Rothe, M. (2022). The atmospheric ?ask sampling program of MPI-BGC, Version 13, 2022. Max Planck Society, 1-60. doi:10.17617/3.8r.
	Lembrechts, J. J., van den Hoogen, J., Aalto, J., Ashcroft, M. B., Frenne, P. D., Kemppinen, J., Kopecký, M., Luoto, M., Maclean, I. M. D., Crowther, T. W., Bailey, J. J., Haesen, S., Klinges, D. H., Niittynen, P., Scheffers, B. R., Göckede, M., et, a. (in press). Global maps of soil temperature. Global Change Biology. doi:10.1111/gcb.16060.
	Maier, F., Gerbig, C., Levin, I., Super, I., Marshall, J., Hammer, S. (2021). Effects of point source emission heights in WRF–STILT: a step towards exploiting nocturnal observations in models. Geoscientific Model Development Discussions. doi:10.5194/gmd-2021-386.
	Sathyanadh, A., Monteil, G., Scholze, M., Klosterhalfen, A., Laudon, H., Wu, Z., Gerbig, C., Peters, W., Bastrikov, V., Nilsson, M. B., Peichl, M. (2021). Reconciling the carbon balance of northern Sweden through integration of observations and modelling. Journal of Geophysical Research: Atmospheres, 126(23): e2021JD035185. doi:10.1029/2021JD035185.
	Xu, R., Tian, H., Pan, N., Thompson, R. L., Canadell, J. G., Davidson, E. A., Nevison, C., Winiwarter, W., Shi, H., Pan, S., Chang, J., Ciais, P., Dangal, S. R. S., Ito, A., Jackson, R. B., Joos, F., Lauerwald, R., Lienert, S., Maavara, T., Millet, D. B., Raymond, P. A., Regnier, P., Tubiello, F. N., Vuichard, N., Wells, K. C., Wilson, C., Yang, J., Yao, Y., Zaehle, S., Zhou, F. (2021). Magnitude and uncertainty of nitrous oxide emissions from North America based on bottom-up and top-down approaches: Informing future research and national inventories. Geophysical Research Letters, 48(23): e2021GL095264. doi:10.1029/2021GL095264.