Max Planck Gesellschaft
Max Planck Gesellschaft

Publications 2020

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1Boonman, C. C. F., van Langevelde, F., Oliveras, I., Couedon, J., Luijken, N., Martini, D., Veenendaal, a. E. M. (2020). On the importance of root traits in seedlings of tropical tree species. New Phytologist. doi:10.1111/nph.16370.
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2Ceballos-Núñez, V., Müller, M., Sierra, C. (2020). Towards better representations of carbon allocation in vegetation: a conceptual framework and mathematical tool. Theoretical Ecology. doi:10.1007/s12080-020-00455-w.
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3Cortés, J., Mahecha, M. D., Reichstein, M., Brenning, A. (2020). Accounting for multiple testing in the analysis of spatio-temporal environmental data. Environmental and Ecological Statistics. doi:10.1007/s10651-020-00446-4.
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4Davies-Barnard, T., Meyerholt, J., Zaehle, S., Friedlingstein, P., Brovkin, V., Fan, Y., Fisher, R. A., Jones, C. D., Lee, H., Peano, D., Smith, B., Wårlind, D. v., Wiltshire, A. (2020). Nitrogen cycling in CMIP6 land surface models: Progress and limitations. Biogeosciences Discussions. doi:10.5194/bg-2019-513.
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5Denissen, J. M. C., Teuling, A. J., Reichstein, M., Orth, R. (2020). Critical soil moisture derived from satellite observations over Europe. Journal of Geophysical Research: Atmospheres, 125(6): e2019JD031672. doi:10.1029/2019JD031672.
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6Flach, M., Brenning, A., Gans, F., Reichstein, M., Sippel, S., Mahecha, M. D. (2020). Vegetation modulates the impact of climate extremes on gross primary production. Biogeosciences Discussions. doi:10.5194/bg-2020-80.
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7Gayantha, K., Routh, J., Anupama, K., Lazar, J., Prasad, S., Chandrajith, R., Roberts, P., Gleixner, G. (2020). Reconstruction of the Late Holocene climate and environmental history from North Bolgoda Lake, Sri Lanka, using lipid biomarkers and pollen records. Journal of Quaternary Science, 35(4), 514-525. doi:10.1002/jqs.3196.
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8Guhra, T., Stolze, K., Schweizer, S., Totsche, K. U. (2020). Earthworm mucus contributes to the formation of organo-mineral associations in soil. Soil Biology and Biochemistry, 145: 107785. doi:10.1016/j.soilbio.2020.107785.
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9Heckel, K., Urban, M., Schratz, P., Mahecha, M. D., Schmullius, C. (2020). Predicting forest cover in distinct ecosystems: The potential of multi-source sentinel-1 and -2 data fusion. Remote Sensing, 12(2): 302. doi:10.3390/rs12020302.
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10Herrera-Ramirez, D., Muhr, J., Hartmann, H., Roemermann, C., Trumbore, S. E., Sierra, C. (2020). Probability distributions of nonstructural carbon ages and transit times provide insights into carbon allocation dynamics of mature trees. New Phytologist, 26(5), 1299-1311. doi:10.1111/nph.16461.
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11Jung, M., Schwalm, C., Migliavacca, M., Walther, S., Camps-Valls, G., Koirala, S., Anthoni, P., Besnard, S., Bodesheim, P., Carvalhais, N., Chevallier, F., Gans, F., Goll, D. S., Haverd, V., Koehler, P., Ichii, K., Jain, A. K., Liu, J., Lombardozzi, D., Nabel, J. E. M. S., Nelson, J. A., O’Sullivan, M., Pallandt, M., Papale, D., Peters, W., Pongratz, J., Rödenbeck, C., Sitch, S., Tramontana, G., Walker, A., Weber, U., Reichstein, M. (2020). Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach. Biogeosciences, 17(5), 1343-1365. doi:10.5194/bg-17-1343-2020.
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12Kraemer, G., Camps-Valls, G., Reichstein, M., Mahecha, M. D. (2020). Summarizing the state of the terrestrial biosphere in few dimensions. Biogeosciences, 17(9), 2397-2424. doi:10.5194/bg-17-2397-2020.
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13Kraemer, G., Reichstein, M., Camps-Valls, G., Smits, J., Mahecha, M. D. (2020). The low dimensionality of development. Social Indicators Research. doi:10.1007/s11205-020-02349-0.
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14Krich, C., Runge, J., Miralles, D. G., Migliavacca, M., Perez-Priego, O., El-Madany, T. S., Carrara, A., Mahecha, M. D. (2020). Estimating causal networks in biosphere–atmosphere interaction with the PCMCI approach. Biogeosciences, 17(4), 1033-1061. doi:10.5194/bg-17-1033-2020.
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15Kübert, A., Paulus, S., Dahlmann, A., Werner, C., Rothfuss, Y., Orlowski, N., Dubbert, M. (2020). Water stable isotopes in ecohydrological field research: Comparison between in situ and destructive monitoring methods to determine soil water isotopic signatures. Frontiers in Plant Science, 11: 387. doi:10.3389/fpls.2020.00387.
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16Kunz, M., Lavric, J. V., Gasche, R., Gerbig, C., Grant, R. H., Koch, F.-T., Schumacher, M., Wolf, B., Zeeman, M. (2020). Surface flux estimates derived from UAS-based mole fraction measurements by means of a nocturnal boundary layer budget approach. Atmospheric Measurement Techniques, 13(4), 1671-1692. doi:10.5194/amt-13-1671-2020.
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17Lawrence, C. R., Beem-Miller, J., Hoyt, A. M., Monroe, G., Sierra, C. A., Stoner, S., Heckman, K., Blankinship, J. C., Crow, S. E., McNicol, G., Trumbore, S. E., Levine, P. A., Vindušková, O., Todd-Brown, K., Rasmussen, C., Pries, C. E. H., Schädel, C., McFarlane, K., Doetterl, S., Hatté, C., He, Y., Treat, C., Harden, J. W., Torn, M. S., Estop-Aragonés, C., Berhe, A. A., Keiluweit, M., Kuhnen, Á. D. R., Marin-Spiotta, E., Plante, A. F., Thomson, A., Shi, Z., Schimel, J. P., Vaughn, L. J. S., von Fromm, S. F., Wagai, R. (2020). An open-source database for the synthesis of soil radiocarbon data: International Soil Radiocarbon Database (ISRaD) version 1.0. Earth System Science Data, 12(1), 61-76. doi:10.5194/essd-12-61-2020.
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18Linscheid, N., Estupinan-Suarez, L. M., Brenning, A., Carvalhais, N., Cremer, F., Gans, F., Rammig, A., Reichstein, M., Sierra, C., Mahecha, M. D. (2020). Towards a global understanding of vegetation–climate dynamics at multiple timescales. Biogeosciences, 17(4), 945-962. doi:10.5194/bg-17-945-2020.
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19Mahecha, M. D., Gans, F., Brandt, G., Christiansen, R., Cornell, S. E., Fomferra, N., Kraemer, G., Peters, J., Bodesheim, P., Camps-Valls, G., Donges, J. F., Dorigo, W., Estupiñan-Suarez, L., Gutierrez-Velez, V. H., Gutwin, M., Jung, M., Londoño, M. C., Miralles, D. G., Papastefanou, P., Reichstein, M. (2020). Earth system data cubes unravel global multivariate dynamics. Earth System Dynamics, 11(1), 201-234. doi:10.5194/esd-11-201-2020.
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20Metzler, H., Zhu, Q., Riley, W., Hoyt, A. M., Müller, M., Sierra, C. (2020). Mathematical reconstruction of land carbon models from their numerical output: computing soil radiocarbon from 12C dynamics. Journal of Advances in Modeling Earth Systems, 12(1): e2019MS001776. doi:10.1029/2019MS001776.
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21Pacheco-Labrador, J., El-Madany, T. S., Martin, M. P., Gonzalez-Cascon, R., Carrara, A., Moreno, G., Perez-Priego, O., Hammer, T., Moossen, H., Henkel, K., Kolle, O., Martini, D., Burchard, V., van der Tol, C., Segl, K., Reichstein, M., Migliavacca, M. (2020). Combining hyperspectral remote sensing and eddy covariance data streams for estimation of vegetation functional traits. Biogeosciences Discussions. doi:10.5194/bg-2019-501.
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22Panwar, A., Renner, M., Kleidon, A. (2020). Imprints of evaporation and vegetation type in diurnal temperature variations. Hydrology and Earth System Sciences Discussions. doi:10.5194/hess-2020-95.
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23Schroeter, N., Lauterbach, S., Stebich, M., Kalanke, J., Mingram, J., Yildiz, C., Schouten, S., Gleixner, G. (2020). Biomolecular evidence of early human occupation of a high-altitude site in Western Central Asia during the Holocene. Frontiers in Earth Science, 8: 20. doi:10.3389/feart.2020.00020.
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24Singh, J., Levick, S. R., Guderle, M., Schmullius, C. (2020). Moving from plot-based to hillslope-scale assessments of savanna vegetation structure with long-range terrestrial laser scanning (LR-TLS). International Journal of Applied Earth Observation and Geoinformation, 90: 102070. doi:10.1016/j.jag.2020.102070.
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25Wutzler, T., Perez-Priego, O., Morris, K. A., El-Madany, T. S., Migliavacca, M. (2020). Soil CO2 efflux errors are lognormally distributed – implications and guidance. Geoscientific instrumentation, methods and data systems, 9(1), 239-254. doi:10.5194/gi-9-239-2020.
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26Zhang, Z. Y., Zhang, Y. G., Porcar-Castell, A., Joiner, J., Guanter, L., Yang, X., Migliavacca, M., Ju, W. M., Sun, Z. G., Chen, S. P., Martini, D., Zhang, Q., Li, Z. H., Cleverly, J., Wang, H. Z., Goulas, Y. (2020). Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 240: 111722. doi:10.1016/j.rse.2020.111722. (internal: final.pdf suppl1.pdf )
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