Max Planck Gesellschaft
Max Planck Gesellschaft

Publications

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1Boese, S., Jung, M., Carvalhais, N., Teuling, A. J., Reichstein, M. (2018). Carbon–water flux coupling under progressive drought. Biogeosciences Discussions. doi:10.5194/bg-2018-474.
2Borsdorff, T., de Brugh, J. a., Hu, H., Hasekamp, O., Sussmann, R., Rettinger, M., Hase, F., Gross, J., Schneider, M., Garcia, O., Stremme, W., Grutter, M., Feist, D. G., Arnold, S. G., Mazière, M. D., Sha, M. K., Pollard, D. F., Kiel, M., Roehl, C., Wennberg, P. O., Toon, G. C., Landgraf, J. (2018). Mapping carbon monoxide pollution from space down to city scales with daily global coverage. Atmospheric Measurement Techniques, 11(10), 5507-5518. doi:10.5194/amt-11-5507-2018.
3Boschetti, F., Thouret, V., Maenhout, G. J., Totsche, K. U., Marshall, J., Gerbig, C. (2018). Multi-species inversion and IAGOS airborne data for a better constraint of continental-scale fluxes. Atmospheric Chemistry and Physics, 18(13), 9225-9241. doi:10.5194/acp-18-9225-2018.
4Castro-Morales, K., Kleinen, T., Kaiser, S., Zaehle, S., Kittler, F., Kwon, M. J., Beer, C., Göckede, M. (2018). Year-round simulated methane emissions from a permafrost ecosystem in Northeast Siberia. Biogeosciences, 15(9), 2691-2722. doi:10.5194/bg-15-2691-2018.
5Ceballos-Núñez, V., Richardson, A. D., Sierra, C. (2018). Ages and transit times as important diagnostics of model performance for predicting carbon dynamics in terrestrial vegetation models. Biogeosciences, 15(5), 1607-1625. doi:10.5194/bg-15-1607-2018.
6Cremer, F., Urbazaev, M., Berger, C., Mahecha, M. D., Schmullius, C., Thiel, C. (2018). An image transform based on temporal decomposition. IEEE Geoscience and Remote Sensing Letters, 15(4), 537-541. doi:10.1109/LGRS.2018.2791658.
7Ding, S., Kohlhepp, B., Trumbore, S. E., Küsel, K., Totsche, K.-U., Pohnert, G., Gleixner, G., Schwab, V. F. (2018). In situ production of core and intact bacterial and archaeal tetraether lipids in groundwater. Organic Geochemistry, 126, 1-12. doi:10.1016/j.orggeochem.2018.10.005.
8Ehrle, A., Potthast, K., Tischer, A., Trumbore, S. E., Michalzik, B. (2018). Soil properties determine how Lasius flavus impact on topsoil organic matter and nutrient distribution in central Germany. Applied Soil Ecology, 133, 166-176. doi:10.1016/j.apsoil.2018.08.021.
9Feng, X., Posmentier, E. S., Sonder, L. J., Fan, N. (2018). Beyond Craig and Gordon: A model of water vapor isotopologues in the marine boundary layer. Atmospheric Chemistry and Physics Discussions. doi:10.5194/acp-2018-709.
10Flach, M., Sippel, S., Gans, F., Bastos, A., Brenning, A., Reichstein, M., Mahecha, M. D. (2018). Contrasting biosphere responses to hydrometeorological extremes: revisiting the 2010 western Russian Heatwave. Biogeosciences, 16, 6067-6085. doi:10.5194/bg-2018-130.
11Franz, M., Alonso, R., Arneth, A., Büker, P., Elvira, S., Gerosa, G., Emberson, L., Feng, Z., Le Thiec, D., Marzuoli, R., Oksanen, E., Uddling, J., Wilkinson, M., Zaehle, S. (2018). Evaluation of simulated ozone effects in forest ecosystems against biomass damage estimates from fumigation experiments. Biogeosciences, 15(22), 6941-6957. doi:10.5194/bg-15-6941-2018.
12Guderle, 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.
13Huang, J., Hammerbacher, A., Weinhold, A., Reichelt, M., Gleixner, G., Behrendt, T., van Dam, N. M., Sala, A., Gershenzon, J., Trumbore, S. E., Hartmann, H. (2018). Eyes on the future – evidence for trade-offs between growth, storage and defense in Norway spruce. New Phytologist. doi:10.1111/nph.15522.
14Ingrisch, J., Karlowsky, S., Anadon-Rosell, A., Hasibeder, R., König, A., Augusti, A., Gleixner, G., Bahn, M. (2018). Land use alters the drought responses of productivity and CO2 fluxes in mountain grassland. Ecosystems, 21(4), 689-703. doi:10.1007/s10021-017-0178-0.
15Karlowsky, S., Augusti, A., Ingrisch, J., Hasibeder, R., Lange, M., Lavorel, S., Bahn, M., Gleixner, G. (2018). Land use in mountain grasslands alters drought response and recovery of carbon allocation and plant-microbial interactions. Journal of Ecology, 106(3), 1230-1243. doi:10.1111/1365-2745.12910.
16Knauer, J., El-Madany, T. S., Zaehle, S., Migliavacca, M. (2018). Bigleaf—An R package for the calculation of physical and physiological ecosystem properties from eddy covariance data. PLoS One, 13(8): e0201114. doi:10.1371/journal.pone.0201114.
17Knauer, 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.
18Knebl, A., Yan, D., Popp, J., Frosch, T. (2018). Fiber enhanced Raman gas spectroscopy. Trends in Analytical Chemistry, 103, 230-238. doi:10.1016/j.trac.2017.12.001.
19Kountouris, P., Gerbig, C., Rödenbeck, C., Karstens, U., Koch, T. F., Heimann, M. (2018). Technical Note: Atmospheric CO2 inversions on the mesoscale using data-driven prior uncertainties: methodology and system evaluation. Atmospheric Chemistry and Physics, 18(4), 3027-3045. doi:10.5194/acp-18-3027-2018.
20Kraemer, G., Reichstein, M., Mahecha, M. D. (2018). dimRed and coRanking—unifying dimensionality reduction in R. R Journal, 10(1), 342-358.
21Kunz, M., Lavric, J. V., Gerbig, C., Tans, P., Neff, D., Hummelgård, C., Martin, H., Rödjegård, H., Wrenger, B., Heimann, M. (2018). COCAP: a carbon dioxide analyser for small unmanned aircraft systems. Atmospheric Measurement Techniques, 11(3), 1833-1849. doi:10.5194/amt-11-1833-2018.
22Liu, M., Lin, J., Wang, Y., Sun, Y., Zheng, B., Shao, J., Chen, L., Zheng, Y., Chen, J., Fu, M., Yan, Y., Zhang, Q., Wu, Z. (2018). Spatiotemporal variability of NO2 and PM2.5 over Eastern China: observational and model analyses with a novel statistical method. Atmospheric Chemistry and Physics, 18, 12933-12952. doi:10.5194/acp-18-12933-2018.
23Malik, A. A., Puissant, J., Buckeridge, K. M., Goodall, T., Jehmlich, N., Chowdhury, S., Gweon, H. S., Peyton, J. M., Mason, K. E., van Agtmaal, M., Blaud, A., Clark, I. M., Whitaker, J., Pywell, R. F., Ostle, N., Gleixner, G., Griffiths, R. I. (2018). Land use driven change in soil pH affects microbial carbon cycling processes. Nature Communications, 9: 3591. doi:10.1038/s41467-018-05980-1.
24Meier, I. C., Knutzen, F., Eder, L. M., Müller-Haubold, H., Goebel, M.-O., Bachmann, J., Hertel, D., Leuschner, C. (2018). The deep root system of Fagus sylvatica on sandy soil: structure and variation across a precipitation gradient. Ecosystems, 21(2), 280-296. doi:10.1007/s10021-017-0148-6.
25Metzler, 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.
26Metzler, 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.
27Meyerholt, J., Zaehle, S. (2018). Controls of terrestrial ecosystem nitrogen loss on simulated productivity responses to elevated CO2. Biogeosciences, 15(18), 5677-5698. doi:10.5194/bg-15-5677-2018.
28Negrón-Juárez, R. I., Holm, J. A., Marra, D. M., Rifai, S. W., Riley, W. J., Chambers, J. Q., Koven, C. D., Knox, R. G., McGroddy, M. E., Vittorio, A. V. D., Urquiza-Muñoz, J., Tello-Espinoza, R., Muñoz, W. A., Ribeiro, G. H. P. M., Higuchi, N. (2018). Vulnerability of Amazon forests to storm-driven tree mortality. Environmental Research Letters, 13(5): 054021. doi:10.1088/1748-9326/aabe9f.
29Nelson, J. A., Carvalhais, N., Cuntz, M., Delpierre, N., Knauer, J., Oge, J., Migliavacca, M., Reichstein, M., Jung, M. (2018). Coupling water and carbon fluxes to constrain estimates of transpiration: the TEA algorithm. Journal of Geophysical Research: Biogeosciences. doi:10.1029/2018JG004727.
30Nelson, J. A., Carvalhais, N., Migliavacca, M., Reichstein, M., Jung, M. (2018). Water-stress-induced breakdown of carbon–water relations: indicators from diurnal FLUXNET patterns. Biogeosciences, 15(8), 2433-2447. doi:10.5194/bg-15-2433-2018.
31Park, 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, 250-251, 376-387. doi:10.1016/j.agrformet.2017.09.009.
32Reum, F., Gerbig, C., Lavric, J. V., Rella, C. W., Göckede, M. (2018). Correcting atmospheric CO2 and CH4 mole fractions obtained with Picarro analyzers for sensitivity of cavity pressure to water vapor. Atmospheric Measurement Techniques Discussions. doi:10.5194/amt-2018-242.
33Reum, F., Göckede, M., Lavric, J. V., Kolle, O., Zimov, S., Zimov, N., Pallandt, M., Heimann, M. (2018). Accurate measurements of atmospheric carbon dioxide and methane mole fractions at the Siberian coastal site Ambarchik. Atmospheric Measurement Techniques Discussions. doi:10.5194/amt-2018-325.
34Schaller, C., Kittler, F., Foken, T., Göckede, M. (2018). Characterisation of short-term extreme methane fluxes related to non-turbulent mixing above an Arctic permafrost ecosystem. Atmospheric Chemistry and Physics Discussions. doi:10.5194/acp-2018-277.
35Schaphoff, S., Forkel, M., Müller, C., Knauer, J., von Bloh, W., Gerten, D., Jägermeyr, J., Lucht, W., Rammig, A., Thonicke, K., Waha, K. (2018). LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation. Geoscientific Model Development, 11(4), 1377-1403. doi:10.5194/gmd-11-1377-2018.
36Schaphoff, S., von Bloh, W., Rammig, A., Thonicke, K., Biemans, H., Forkel, M., Gerten, D., Heinke, J., Jägermeyr, J., Knauer, J., Langerwisch, F., Lucht, W., Müller, C., Rolinski, S., Waha, K. (2018). LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description. Geoscientific Model Development, 11(4), 1343-1375. doi:10.5194/gmd-11-1343-2018.
37Sierra, C. A., Ceballos-Núñez, V., Metzler, H., Mueller, M. (2018). Representing and understanding the carbon cycle using the theory of compartmental dynamical systems. Journal of Advances in Modeling Earth Systems, 10(8), 1729-1734. doi:10.1029/2018MS001360.
38Simon, C., Roth, V.-N., Dittmar, T., Gleixner, G. (2018). Molecular signals of heterogeneous terrestrial environments identified in dissolved organic matter: a comparative analysis of orbitrap and ion cyclotron resonance mass spectrometers. Frontiers in Earth Science, 6: 138. doi:10.3389/feart.2018.00138.
39Sippel, S., El-Madany, T. S., Migliavacca, M., Mahecha, M. D., Carrara, A., Flach, M., Kaminski, T., Otto, F. E. L., Thonicke, K., Vossbeck, M., Reichstein, M. (2018). Warm winter, wet spring, and an extreme response in ecosystem functioning on the Iberian Peninsula. Bulletin of the American Meteorological Society, 99(1), S80-S85. doi:10.1175/BAMS-D-17-0135.1.
40Sippel, S., Reichstein, M., Ma, X., Mahecha, M. D., Lange, H., Flach, M., Frank, D. (2018). Drought, heat, and the carbon cycle: a review. Current Climate Change Reports, 4(3), 266-286. doi:10.1007/s40641-018-0103-4.
41Stelmaszczuk-Górska, M. A., Urbazaev, M., Schmullius, C., Thiel, C. (2018). Estimation of above-ground biomass over boreal forests on Siberia using updated in situ, ALOS-2 PALSAR-2, and RADARSAT-2 Data. Remote Sensing, 10(10): 1550. doi:10.3390/rs10101550.
42Trautmann, T., Koirala, S., Carvalhais, N., Eicker, A., Fink, M., Niemann, C., Jung, M. (2018). Understanding terrestrial water storage variations in northern latitudes across scales. Hydrology and Earth System Sciences, 22(7), 4061-4082. doi:10.5194/hess-22-4061-2018.
43Urban, M., Berger, C., Mudau, T. E., Heckel, K., Truckenbrodt, J., Odipo, V. O., Smit, I. P. J., Schmullius, C. (2018). Surface moisture and vegetation cover analysis for drought monitoring in the southern Krüger National Park using sentinel-1, sentinel-2, and landsat-8. Remote Sensing, 10: 1482. doi:10.3390/rs10091482.
44Urbazaev, M., Cremer, F., Migliavacca, M., Reichstein, M., Schmullius, C., Thiel, C. (2018). Potential of multi-temporal ALOS-2 PALSAR-2 ScanSAR data for vegetation height estimation in tropical forests of Mexico. Remote Sensing, 10(8): 1277. doi:10.3390/rs10081277.
45von Buttlar, J., Zscheischler, J., Rammig, A., Sippel, S., Reichstein, M., Knohl, A., Jung, M., Menzer, O., Arain, M. A., Buchmann, N., Cescatti, A., Gianelle, D., Kieley, G., Law, B. E., Magliulo, V., Margolis, H., McCaughey, H., Merbold, L., Migliavacca, M., Montagnani, L., Oechel, W., Pavelka, M., Peichl, M., Rambal, S., Raschi, A., Scott, R. L., Vaccari, F. P., van Gorsel, E., Varlagin, A., Wohlfahrt, G., Mahecha, M. D. (2018). Impacts of droughts and extreme-temperature events on gross primary production and ecosystem respiration: a systematic assessment across ecosystems and climate zones. Biogeosciences, 15(5), 1293-1318. doi:10.5194/bg-15-1293-2018.
46Wutzler, T., Lucas-Moffat, A., Migliavacca, M., Knauer, J., Sickel, K., Šigut, L., Menzer, O., Reichstein, M. (2018). Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences, 15(16), 5015-5030. doi:10.5194/bg-15-5015-2018.
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