Max Planck Society
Max Planck Institut for Biogeochemistry

Scientific publications

1Bergamaschi, P., Karstens, U., Manning, A. J., Saunois, M., Tsuruta, A., Berchet, A., Vermeulen, A. T., Arnold, T., Janssens-Maenhout, G., Hammer, S., Levin, I., ?Schmidt, M., Ramonet, M., Lopez, M., Lavric, J. V., Aalto, T., Chen, H., Feist, D. G., Gerbig, C., Haszpra, L., Hermansen, O., Manca, G., Moncrieff, J., Meinhardt, F., Necki, J., Galkowski, M., O'Doherty, S., Paramonova, N., Scheeren, H. A., Steinbacher, M., Dlugokencky, E. (2018). Inverse modelling of European CH4 emissions during 2006–2012 using different inverse models and reassessed atmospheric observations. Atmospheric Chemistry and Physics, 18(2), 901-920. doi:10.5194/acp-18-901-2018.
2Bucher, 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.
3Buendía, C., Kleidon, A., Manzoni, S., Reu, B., Porporato, A. (2018). Evaluating the effect of nutrient redistribution by animals on the phosphorus cycle of lowland Amazonia. Biogeosciences, 15(1), 279-295. doi:10.5194/bg-15-279-2018.
4Ebeling, 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.
5Erb, 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.
6Filippa, 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.
7Goldbergs, G., Levick, S. R., Lawes, M., Edwards, A. (2018). Hierarchical integration of individual tree and area-based approaches for savanna biomass uncertainty estimation from airborne LiDAR. Remote Sensing of Environment, 205, 141-150. doi:10.1016/j.rse.2017.11.010.
8Guderle, M., Bachmann, D., Milcu, A., Gockele, A., Bechmann, M., Fischer, C., Roscher, C., Landais, D., Ravel, O., Devidal, S., Roy, J., Gessler, A., Buchmann, N., Weigelt, A., Hildebrandt, A. (2018). Dynamic niche partitioning in root water uptake facilitates efficient water use in more diverse grassland plant communities. Functional Ecology, 32(1), 214-227. doi:10.1111/1365-2435.12948.
9Hacker, N., Gleixner, G., Lange, M., Wilcke, W., Oelmann, Y. (2018). Phosphorus release from mineral soil by acid hydrolysis: method development, kinetics, and plant community composition effects. Soil Science Society of America, 81(6), 1389-1400. doi:10.2136/sssaj2017.02.0064.
10Hartmann, H., Schuldt, B., Sanders, T. G. M., Macinnis-Ng, C., Boehmer, H. J., Allen, C. D., Bolte, A., Crowther, T. W., Hansen, M. C., Medlyn, B. E., Ruehr, N. K., Anderegg, W. R. L. (2018). Monitoring global tree mortality patterns and trends. Report from the VW symposium ‘Crossing scales and disciplines to identify global trends of tree mortality as indicators of forest health’. New Phytologist, 217(3), 984-987. doi:10.1111/nph.14988.
11Knauer, 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.
12Ledo, A., Paul, K. I., Burslem, D. F. R. P., Ewel, J. J., Barton, C., Battaglia, M., Brooksbank, K., Carter, J., Eid, T. H., England, J. R., Fitzgerald, A., Jonson, J., Mencuccini, M., Montagu, K. D., Montero, G., Mugasha, W. A., Pinkard, E., Roxburgh, S., Ryan, C. M., Ruiz-Peinado, R., Sochacki, S., Specht, A., Wildy, D., Wirth, C., Zerihun, A., Chave, J. (2018). Tree size and climatic water deficit control root to shoot ratio in individual trees globally. New Phytologist, 217(1), 8-11. doi:10.1111/nph.14863.
13Metzler, H., Mueller, M., Sierra, C. (2018). Transit-time and age distributions for nonlinear time-dependent compartmental systems. Proc.Natl.Acad.Sci.USA, 115(6), 1150-1155. doi:10.1073/pnas.1705296115.
14Metzler, H., Sierra, C. (2018). Linear autonomous compartmental models as continuous-time Markov chains: transit-time and age distributions. Mathematical Geosciences, 50(1), 1-34. doi:10.1007/s11004-017-9690-1.
15Meyer, S. T., Ptacnik, R., Hillebrand, H., Bessler, H., Buchmann, N., Ebeling, A., Eisenhauer, N., Engels, C., Fischer, M., Halle, S., Klein, A.-M., Oelmann, Y., Roscher, C., Rottstock, T., Scherber, C., Scheu, S., Schmid, B., Schulze, E. D., Temperton, V. M., Tscharntke, T., Voigt, W., Weigelt, A., Wilcke, W., Weisser, W. W. (2018). Biodiversity–multifunctionality relationships depend on identity and number of measured functions. Nature Ecology & Evolution, 2, 44-49. doi:10.1038/s41559-017-0391-4.
16Milcu, A., Puga-Freitas, R., Ellison, A. M., Blouin, M., Scheu, S., Girin, T., Frechet, G., Rose, L., Scherer-Lorenzen, M., Barot, S., Lata, J.-C., Cesarz, S., Eisenhauer, N., Gigon, A., Weigelt, A., Hansart, A., Greiner, A., Pando, A., Gessler, A., Grignani, C., Assandri, D., Gleixner, G., Le Galliard, J.-F., Urban-Mead, K., Zavattaro, L., Muller, M. E., Lange, M., Lukac, M., Bonkowski, M., Mannerheim, N., Buchmann, N., Butenschoen, O., Rotter, P., Seyhun, R., Devidal, S., Kayler, Z., Roy, J. (2018). Genotypic variability enhances the reproducibility of an ecological study. Nature Ecology & Evolution, 2(2), 279-287. doi:10.1038/s41559-017-0434-x.
17Park, 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.
18Roscher, C., Gubsch, M., Lipowsky, A., Schumacher, J., Weigelt, A., Buchmann, N., Schulze, E. D., Schmid, B. (2018). Trait means, trait plasticity and trait differences to other species jointly explain species performances in grasslands of varying diversity. Oikos. doi:10.1111/oik.04815.
19Schall, P., Gossner, M. M., Heinrichs, S., Fischer, M., Boch, S., Prati, D., Jung, K., Baumgartner, V., Blaser, S., Böhm, S., Buscot, F., Daniel, R., Goldmann, K., Kaiser, K., Kahl, T., Lange, M., Müller, J., Overmann, J., Renner, S. C., Schulze, E. D., Sikorski, J., Tschapka, M., Türke, M., Weisser, W. W., Wemheuer, B., Wubet, T., Ammer, C. (2018). The impact of even-aged and uneven-aged forest management on regional biodiversity of multiple taxa in European beech forests. Journal of Applied Ecology, 55(1), 267-278. doi:10.1111/1365-2664.12950.
20Schulze, 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.
21Teubner, 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.
22Tian, 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.
23van der Plas, F., Ratcliffe, S., Ruiz-Benito, P., Scherer-Lorenzen, M., Verheyen, K., Wirth, C., Zavala, M., Ampoorter, E., Baeten, L., Barbaro, L., Crespo, C., Bauhus, J., Benavides, R., Benneter, A., Bonal, D., Bouriaud, O., Bruelheide, H., Bussotti, F., Carnol, M., Castagneyrol, B., Charbonnier, Y., Cornelissen, H., Dahlgren, J., Checko, E., Coppi, A., Dawud, S., Deconchat, M., DeSmedt, P., De Wandeler, H., Domisch, T., Finer, L., Fotelli, M., Gessler, A., Granier, A., Grossiord, C., Guyot, V., Haase, J., Hattenschwiler, S., Jactel, H., Jaroszewicz, B., Joly, F.-X., Jucker, T., Kambach, S., Kändler, G., Kattge, J., Koricheva, J., Kunstler, G., Lehtonen, A., Liebergesell, M., Manning, P., Milligan, H., Müller, S., Muys, B., Nguyen, D., Nock, C., Ohse, B., Paquette, A., Penuelas, J., Pollastrini, M., Radoglou, K., Raulund-Rasmussen, K., Roger, F., Seidl, R., Selvi, F., Stenlid, J., Valladares, F., van Keer, J., Vesterdal, L., Fischer, M., Gamfeldt, L., Allan, E. (2018). Continental mapping of forest ecosystem functions reveals a high but unrealized potential for forest multifunctionality. Ecology Letters, 21(1), 31-42. doi:10.1111/ele.12868.
24Weber, R., Schwendener, A., Schmid, S., Lambert, S., Wiley, E., Landhäusser, S. M., Hartmann, H., Hoch, G. (2018). Living on next to nothing: tree seedlings can survive weeks with very low carbohydrate concentrations. New Phytologist. doi:10.1111/nph.14987.
25Zhang, H.-Y., Lü, X.-T., Knapp, A. K., Hartmann, H., Bai, E., Wang, X.-B., Wang, Z.-W., Wang, X.-G., Yu, Q., Han, X.-G. (2018). Facilitation by leguminous shrubs increases along a precipitation gradient. Functional Ecology, 32(1), 203-213. doi:10.1111/1365-2435.12941.
26Zhang, 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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