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1Bucher, S. F., König, P., Menzel, A., Migliavacca, M., Ewald, J., Römermann, C. (2018). Traits and climate are associated with first flowering day in herbaceous species along elevational gradients. Ecology and Evolution, 8(2), 1147-1158. doi:10.1002/ece3.3720.
2Ebeling, A., Rzanny, M., Lange, M., Eisenhauer, N., Hertzog, L. R., Meyer, S. T., Weisser, W. W. (2018). Plant diversity induces shifts in the functional structure and diversity across trophic levels. Oikos, 127(2), 208-219. doi:10.1111/oik.04210.
3Erb, K.-H., Kastner, T., Plutzar, C., Bais, A. L. S., Carvalhais, N., Fetzel, T., Gingrich, S., Haberl, H., Lauk, C., Niedertscheider, M., Pongratz, J., Thurner, M., Luyssaert, S. (2018). Unexpectedly large impact of forest management and grazing on global vegetation biomass. Nature, 553(7686), 73-76. doi:10.1038/nature25138.
4Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, M., Sonnentag, O., Humphreys, E., Hufkens, K., Ryu, Y., Verfaillie, J., di Cella, U. M., Richardson, A. D. (2018). NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types. Agricultural and Forest Meteorology, 249, 275-285. doi:10.1016/j.agrformet.2017.11.003.
5Knauer, J., Zaehle, S., Medlyn, B. E., Reichstein, M., Williams, C. A., Migliavacca, M., Kauwe, M. G. D., Werner, C., Keitel, C., Kolari, P., Limousin, J.-M., Linderson, M.-L. (2018). Towards physiologically meaningful water-use efficiency estimates from eddy covariance data. Global Change Biology, 24(2), 694-710. doi:10.1111/gcb.13893.
6Park, S.-B., Knohl, A., Lucas-Moffat, A., Migliavacca, M., Gerbig, C., Vesala, T., Peltola, O., Mammarella, I., Kolle, O., Lavric, J. V., Prokushkin, A., Heimann, M. (2018). Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in Central Siberia. Agricultural and Forest Meteorology. doi:10.1016/j.agrformet.2017.09.009.
7Schulze, E. D., Bouriaud, O., Weber, U., Roscher, C., Hessenmoeller, D., Kroiher, F., Schall, P. (2018). Management breaks the natural productivity-biodiversity relationship in forests and grassland: an opinion. Forest Ecosystems, 5: 3. doi:10.1186/s40663-017-0122-y.
8Teubner, I. E., Forkel, M., Jung, M., Liu, Y. Y., Miralles, D. G., Parinussa, R., van der Schalie, R., Vreugdenhil, M., Schwalm, C. R., Tramontana, G., Camps-Valls, G., Dorigo, W. A. (2018). Assessing the relationship between microwave vegetation optical depth and gross primary production. International Journal of Applied Earth Observation and Geoinformation, 65, 79-91. doi:10.1016/j.jag.2017.10.006.
9Tian, H., Yang, J., Lu, C., Xu, R., Canadell, J. G., Jackson, R., Arneth, A., Chang, J., Chen, G., Ciais, P., Gerber, S., Ito, A., Huang, Y., Joos, F., Lienert, S., Messina, P., Olin, S., Pan, S., Peng, C., Saikawa, E., Thompson, R. L., Vuichard, N., Winiwarter, W., Zaehle, S., Zhang, B., Zhang, K., Zhu, Q. (2018). The global N2O model intercomparison project (NMIP): objectives, simulation protocol and expected products. Bulletin of the American Meteorological Society. doi:10.1175/BAMS-D-17-0212.1.
10Zhang, X., Wang, N., Xie, Z., Ma, X., Huete, A. (2018). Water loss due to increasing planted vegetation over the Badain Jaran Desert, China. Remote Sensing, 10(1): 134. doi:10.3390/rs10010134.
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