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1Forkel, M., Thonicke, K., Beer, C., Cramer, W., Bartalev, S., Schmullius, C. (2012). Extreme fire events are related to previous-year surface moisture conditions in permafrost-underlain larch forests of Siberia. Environmental Research Letters, 7: 044021. doi:10.1088/1748-9326/7/4/044021.
2Janzing, D., Mooij, J., Zhang, K., Lemeire, J., Zscheischler, J., Daniušis, P., Steudel, B., Schölkopf, B. (2012). Information-geometric approach to inferring causal directions. Artificial Intelligence, 182-183, 1-31. doi:10.1016/j.artint.2012.01.002.
3Kramer, S., Marhan, S., Ruess, L., Armbruster, W., Butenschoen, O., Haslwimmer, H., Kuzyakov, Y., Pausch, J., Scheunemann, N., Schoene, J., Schmalwasser, A., Totsche, K. U., Walker, F., Scheu, S., Kandeler, E. (2012). Carbon flow into microbial and fungal biomass as basis for the belowground food web of agroecosystems. Pedobiologia, 55, 111-119. doi:10.1016/j.pedobi.2011.12.001.
4Lang, M., Fischer, J., Sommer, J.-U. (2012). Effect of topology on the conformations of ring polymers. Macromolecules, 45, 7642-7648. doi:10.1021/ma300942a.
5Malik, A., Scheibe, A., LokaBharathi, P., Gleixner, G. (2012). Online stable isotope analysis of dissolved organic carbon size classes using size exclusion chromatography coupled to an isotope ratio mass spectrometer. Environmental Science and Technology, 46(18), 10123-10129. doi:10.1021/es302467y.
6Saha, M., Rempt, M., Gebser, B., Grueneberg, J., Pohnert, G., Weinberger, F. (2012). Dimethylsulphopropionate (DMSP) and proline from the surface of the brown alga Fucus vesiculosus inhibit bacterial attachment. Biofouling, 28, 593-604. doi:10.1080/08927014.2012.698615.
7Silva, R. P., Souza, C. A. S., Amaral, M. R. M., Carneiro, V. M., Barros, P. C., Marra, D. M., Santos, J., Higuchi, N. (2012). Árvore: crescimento, desenvolvimento e sua identificação. In M. I. G. Higuchi, N. Higuchi (Eds.), A floresta amazônica e suas múltiplas dimensões: uma proposta de educação ambiental. 2ed. Manaus, Brasil.
8Zscheischler, J., Mahecha, M. D., Harmeling, S. (2012). Climate classifications: the value of unsupervised clustering. Procedia Computer Science, 9, 897-906. doi:10.1016/j.procs.2012.04.096.
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