Max Planck Gesellschaft
Max Planck Gesellschaft

Publications

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1Ahrens, B., Hansson, K., Solly, E., Schrumpf, M. (2014). Reconcilable differences: a joint calibration of fine-root turnover times with radiocarbon and minirhizotrons. New Phytologist, 204(4), 932-942. doi:10.1111/nph.12979.
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2Akinyede, R., Taubert, M., Schrumpf, M., Trumbore, S. E., Küsel, K. (2020). Rates of dark CO2 fixation are driven by microbial biomass in a temperate forest soil. Soil Biology and Biochemistry, 150: 107950. doi:10.1016/j.soilbio.2020.107950. (internal: final.pdf suppl1.docx )
3Akita, L. G., Frenzel, P., Haberzettl, T., Kasper, T., Wang, J., Reicherter, K. (2014). Ostracoda (Crustacea) as indicators of subaqueous mass movements: An example from the large brackish lake Tangra Yumco on the southern Tibetan Plateau, China. Palaeogeography, Palaeoclimatology, Palaeoecology, 419, 60-74. doi:10.1016/j.palaeo.2014.08.003. (internal: final.pdf )
4Alekseychik, P., Lappalainen, H. K., Petäjä, T., Zaitseva, N., Heimann, M., Laurila, T., Lihavainen, H., Asmi, E., Arshinov, M., Shevchenko, V., Makshtas, A., Dubtsov, S., Mikhailov, E., Lapshina, E., Kirpotin, S., Kurbatova, Y., Ding, A., Guo, H., Park, S.-B., Lavric, J. V., Reum, F., Panov, A., Prokushkin, A., Kulmala, M. (2016). Ground-based station network in arctic and subarctic Eurasia: An overview. Geography, environment, sustainability, 09(02), 55-88. doi:10.15356/2071-9388_02v09_2016_06.
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5Allan, E., Manning, P., Alt, F., Binkenstein, J., Blaser, S., Blüthgen, N., Böhm, S., Grassein, F., Hölzel, N., Klaus, V. H., Kleinebecker, T., Morris, E. K., Oelmann, Y., Prati, D., Renner, S. C., Rillig, M. C., Schaefer, M., Schloter, M., Schmitt, B., Schöning, I., Schrumpf, M., Solly, E., Sorkau, E., Steckel, J., Steffen-Dewenter, I., Stempfhuber, B., Tschapka, M., Weiner, C. N., Weisser, W. W., Werner, M., Westphal, C., Wilcke, W., Fischer, M. (2015). Land use intensification alters ecosystem multifunctionality via loss of biodiversity and changes to functional composition. Ecology Letters, 18(8), 834-843. doi:10.1111/ele.12469.
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6Arnold, S., Kailichova, Y., Knauer, J., Ruthsatz, A. D., Baumgartl, T. (2014). Effects of soil water potential on germination of co-dominant Brigalow species: Implications for rehabilitation of water-limited ecosystems in the Brigalow Belt bioregion. Ecological Engineering, 70, 35-42. doi:10.1016/j.ecoleng.2014.04.015. (internal: final.pdf suppl1.docx )
7Benk, S., Li, Y., Roth, V.-N., Gleixner, G. (2018). Lignin dimers as potential markers for 14C-young terrestrial dissolved organic matter in the critical zone. Frontiers in Earth Science, 6: 168. doi:10.3389/feart.2018.00168.
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8Benk, S., Yan, L., Lehmann, R., Roth, V.-N., Schwab, V. F., Totsche, K. U., Küsel, K., Gleixner, G. (2019). Fueling diversity in the subsurface: Composition and age of dissolved organic matter in the critical zone. Frontiers in Earth Science, 7: 296. doi:10.3389/feart.2019.00296.
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9Beulig, F., Urich, T., Nowak, M., Trumbore, S. E., Gleixner, G., Gilfillan, G., Fjelland, K., Küsel, K. (2016). Altered carbon turnover processes and microbiomes in soils under long-term extremely high CO2 exposure. Nature Reviews Microbiology, 1(2): 15025. doi:10.1038/nmicrobiol.2015.25. (internal: final.pdf )
10Boese, S., Jung, M., Carvalhais, N., Reichstein, M. (2017). The importance of radiation for semiempirical water-use efficiency models. Biogeosciences, 14(12), 3015-3026. doi:10.5194/bg-14-3015-2017.
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11Boese, S., Jung, M., Carvalhais, N., Teuling, A. J., Reichstein, M. (2019). Carbon–water flux coupling under progressive drought. Biogeosciences, 16(13), 2557-2572. doi:10.5194/bg-16-2557-2019.
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12Boonman, 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, 227(1), 156-167. doi:10.1111/nph.16370.
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13Borsdorff, 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.
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14Boschetti, F., Chen, H., Thouret, V., Nedelec, P., Janssens-Maenhout, G., Gerbig, C. (2015). On the representation of IAGOS/MOZAIC vertical profiles in chemical transport models: contribution of different error sources in the example of carbon monoxide. Tellus, Series B - Chemical and Physical Meteorology, 67: 28292. doi:10.3402/tellusb.v67.28292.
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15Boschetti, 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.
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16Botía, S. B., Gerbig, C., Marshall, J., Lavric, J. V., Walter, D., Pölhker, C., Holanda, B., Fisch, G., de Araújo, A. C., Sá, M. O., Teixeira, P. R., Resende, A. F., Dias-Junior, C. Q., van Asperen, H., Oliveira, P. S., Stefanello, M., Acevedo, O. C. (2020). Understanding nighttime methane signals at the Amazon Tall Tower Observatory (ATTO). Atmospheric Chemistry and Physics, 20(11), 6583-6606. doi:10.5194/acp-20-6583-2020.
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17Camps-Valls, G., Jung, M., Ichii, K., Papale, D., Tramontana, G., Bodesheim, P., Schwalm, C., Zscheischler, J., Mahecha, M. D., Reichstein, M. (2015). Ranking drivers of global carbon and energy fluxes over land. In IEEE International Symposium on Geoscience and Remote Sensing IGARSS (pp. 4416-4419). (internal: final.pdf )
18Carvalhais, N., Forkel, M., Khomik, M., Bellarby, J., Jung, M., Migliavacca, M., Mu, M., Saatchi, S., Santoro, M., Thurner, M., Weber, U., Ahrens, B., Beer, C., Cescatti, A., Randerson, J. T., Reichstein, M. (2014). Global covariation of carbon turnover times with climate in terrestrial ecosystems. Nature, 514, 213-217. doi:10.1038/nature13731. (internal: final.pdf )
19Castro-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.
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20Ceballos-Núñez, V., Müller, M., Sierra, C. (2020). Towards better representations of carbon allocation in vegetation: a conceptual framework and mathematical tool. Theoretical Ecology, 13, 317-332. doi:10.1007/s12080-020-00455-w.
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21Ceballos-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.
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22Chambers, J. Q., Negron-Juarez, R. I., Marra, D. M., Di Vittorio, A., Tews, J., Roberts, D., Ribeiro, G. H. P. M., Trumbore, S. E., Higuchi, N. (2013). The steady-state mosaic of disturbance and succession across an old-growth Central Amazon forest landscape. Proc.Natl.Acad.Sci.USA, 110(10), 3949-3954. doi:10.1073/pnas.1202894110.
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23Chen, J., Gerbig, C., Marshall, J., Totsche, K. U. (2020). Short-term forecasting of regional biospheric CO2 fluxes in Europe using a light-use-efficiency model (VPRM, MPI-BGC version 1.2). Geoscientific Model Development, 13(9), 4091-4106. doi:10.5194/gmd-13-4091-2020.
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24Chernetskiy, M., Gomez-Dans, J., Gobron, N., Morgan, O., Lewis, P., Truckenbrodt, S., Schmullius, C. (2017). Estimation of FAPAR over croplands using MISR data and the Earth Observation Land Data Assimilation System (EO-LDAS). Remote Sensing, 9(7): 656. doi:10.3390/rs9070656.
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25Chowdhury, S., Lange, M., Malik, A. A., Goodall, T., Huang, J., Griffiths, R. I., Gleixner, G. (2020). The effect of plant-derived carbon on rhizospheric microbial communities decomposing different litter types and nutrient return. bioRxiv. doi:10.1101/2020.05.08.085407.
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26Cortés, 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, 27, 293-318. doi:10.1007/s10651-020-00446-4.
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27Cremer, F., Urbazaev, M., Berger, C., Mahecha, M. D., Schmullius, C., Thiel, a. 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.
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28Davies-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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29De Kauwe, M. G., Medlyn, B. E., Knauer, J., Williams, C. A. (2017). Ideas and perspectives: how coupled is the vegetation to the boundary layer? Biogeosciences, 14(19), 4435-4453. doi:10.5194/bg-14-4435-2017.
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30Denissen, 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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31Dhara, C., Renner, M., Kleidon, A. (2015). Geographic variation of surface energy partitioning in the climatic mean predicted from the maximum power limit. arXiv. Retrieved from arXiv:1512.01374.
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32Dhara, C., Renner, M., Kleidon, A. (2016). Broad climatological variation of surface energy balance partitioning across land and ocean predicted from the maximum power limit. Geophysical Research Letters, 43(14), 7686-7693. doi:10.1002/2016GL070323.
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33Díaz, S., Kattge, J., Cornelissen, J. H. C., Wright, I. J., Lavorel, S., Dray, S., Reu, B., Kleyer, M., Wirth, C., Prentice, I. C., Garnier, E., Bönisch, G., Westoby, M., Poorter, H., Reich, P. B., Moles, A. T., Dickie, J., Gillison, A. N., Zanne, A. E., Chave, J., Wright, S. J., Sheremetev, S. N., Jactel, H., Baraloto, C., Cerabolini, B., Pierce, S., Shipley, B., Kirkup, D., Casanoves, F., Joswig, J., Günther, A., Falczuk, V., Rüger, N., Mahecha, M. D., Gorné, L. D. (2016). The global spectrum of plant form and function. Nature, 529, 167-171. doi:10.1038/nature16489.
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34Dibbern, D., Schmalwasser, A., Lueders, T., Totsche, K. U. (2014). Selective transport of plant root-associated bacterial populations in agricultural soils upon snowmelt. Soil Biology and Biochemistry, 69, 187-196. doi:10.1016/j.soilbio.2013.10.040. (internal: final.pdf suppl1.doc )
35Dietze, E., Maussion, F., Ahlborn, M., Diekmann, B., Hartmann, K., Henkel, K., Kasper, T., Lockot, G., Opitz, S., Haberzettl, a. T. (2014). Sediment transport processes across the Tibetan Plateau inferred from robust grain size end-members in lake sediments. Climate of the Past, 10, 91-106. doi:10.5194/cp-10-91-2014.
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36Ding, 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. (internal: final.pdf suppl1.docx )
37Ding, S., Schwab, B., Ueberschaar, N., Roth, V.-N., Lange, M., Xu, Y., Gleixner, G., Pohnert, G. (2016). Identification of novel 7-methyl and cyclopentanyl branched glycerol dialkyl glycerol tetraethers in lake sediments. Organic Geochemistry, 102, 52-58. doi:10.1016/j.orggeochem.2016.09.009. (internal: final.pdf suppl1.docx )
38Dippold, M. A., Boesel, S., Gunina, A., Kuzyakov, Y., Glaser, a. B. (2014). Improved d13C analysis of amino sugars in soil by ion chromatography–oxidation–isotope ratio mass spectrometry. Rapid Communications in Mass Spectrometry, 28(6), 569-576. doi:10.1002/rcm.6814. (internal: final.pdf suppl1.zip )
39dos Santos, L. T., Marra, D. M., Trumbore, S. E., Camargo, P. B., Chambers, J. Q., Negrón-Juárez, R. I., Lima, A. J. N., Ribeiro, G. H. P. M., dos Santos, J., Higuchi, N. (2016). Windthrows increase soil carbon stocks in a central Amazon forest. Biogeosciences, 13(4), 1299-1308. doi:10.5194/bg-13-1299-2016.
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40Ehrle, A., Andersen, A. N., Levick, S. R., Schumacher, J., Trumbore, S. E., Michalzik, B. (2017). Yellow-meadow ant (Lasius flavus) mound development determines soil properties and growth responses of different plant functional types. European Journal of Soil Biology, 81, 83-93. doi:10.1016/j.ejsobi.2017.06.006. (internal: final.pdf suppl1.zip )
41Ehrle, 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. (internal: final.pdf suppl1.docx suppl2.docx )
42Ezhova, E., Ylivinkka, I., Kuusk, J., Komsaare, K., Vana, M., Krasnova, A., Noe, S., Arshinov, M., Belan, B., Park, S.-B., Lavric, J. V., Heimann, M., Petäjä, T., Vesala, T., Mammarella, I., Kolari, P., Bäck, J., Rannik, U., Kerminen, V.-M., Kulmala, M. (2018). Direct effect of aerosols on solar radiation and gross primary production in boreal and hemiboreal forests. Atmospheric Chemistry and Physics, 18, 17863-17881. doi:10.5194/acp-18-17863-2018.
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43Feist, D. G., Arnold, S. G., Hase, F., Ponge, D. (2016). Rugged optical mirrors for Fourier transform spectrometers operated in harsh environments. Atmospheric Measurement Techniques, 9(5), 2381-2391. doi:10.5194/amt-9-2381-2016.
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44Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, M., Forkel, M., Wingate, L., Tomelleri, E., di Cella, U. M., Richardson, A. D. (2016). Phenopix: A R package for image-based vegetation phenology. Agricultural and Forest Meteorology, 220, 141-150. doi:10.1016/j.agrformet.2016.01.006. (internal: final.pdf )
45Fischer, J., Kleidon, A., Dittrich, P. (2015). Thermodynamics of random reaction networks. PLoS One, 10(2): e0117312. doi:10.1371/journal.pone.0117312.
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46Fischer, S., Hanf, S., Frosch, T., Gleixner, G., Popp, J., Trumbore, S. E., Hartmann, H. (2015). Pinus sylvestris switches respiration substrates under shading but not during drought. New Phytologist, 207(3), 542-550. doi:10.1111/nph.13452.
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47Flach, 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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48Flach, M., Gans, F., Brenning, A., Denzler, J., Reichstein, M., Rodner, E., Bathiany, S., Bodesheim, P., Guanche, Y., Sippel, S., Mahecha, M. D. (2017). Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques. Earth System Dynamics, 8(3), 677-696. doi:10.5194/esd-8-677-2017.
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49Flach, 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-15-6067-2018.
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50Forkel, M., Carvalhais, N., Rödenbeck, C., Keeling, R., Heimann, M., Thonicke, K., Zaehle, S., Reichstein, M. (2016). Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems. Science, 351(6274), 696-699. doi:10.1126/science.aac4971. (internal: final.pdf )
51Forkel, M., Carvalhais, N., Schaphoff, S., Bloh, W. v., Migliavacca, M., Thurner, M., Thonicke, K. (2014). Identifying environmental controls on vegetation greenness phenology through model-data integration. Biogeosciences, 11(23), 7025-7050. doi:10.5194/bg-11-7025-2014.
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52Forkel, M., Carvalhais, N., Verbesselt, J., Mahecha, M. D., Neigh, C. S., Reichstein, M. (2013). Trend change detection in NDVI time series: Effects of inter-annual variability and methodology. Remote Sensing, 5(5), 2113-2144. doi:10.3390/rs5052113.
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53Forkel, M., Migliavacca, M., Thonicke, K., Reichstein, M., Schaphoff, S., Weber, U., Carvalhais, N. (2015). Codominant water control on global interannual variability and trends in land surface phenology and greenness. Global Change Biology, 21(9), 3414-3435. doi:10.1111/gcb.12950. (internal: final.pdf )
54Forkel, 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.
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55Frank, D., Reichstein, M., Bahn, M., Frank, D., Mahecha, M. D., Smith, P., Thonicke, K., van der Velde, M., Vicca, S., Babst, F., Beer, C., Buchmann, N., Canadell, J. G., Ciais, P., Cramer, W., Ibrom, A., Miglietta, F., Poulter, B., Rammig, A., Seneviratne, S. I., Walz, A., Wattenbach, M., Zavala, M. A., Zscheischler, J. (2015). Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts. Global Change Biology, 21, 2861-2880. doi:10.1111/gcb.12916.
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56Franz, 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.
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57Franz, M., Simpson, D., Arneth, A., Zaehle, S. (2017). Development and evaluation of an ozone deposition scheme for coupling to a terrestrial biosphere model. Biogeosciences, 14(1), 45-71. doi:10.5194/bg-14-45-2017.
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58Gan, H. Y., Schöning, I., Schall, P., Ammer, C., Schrumpf, M. (2020). Soil organic matter mineralization as driven by nutrient stoichiometry in soils under differently managed forest stands. Frontiers in Forests and Global Change, 3: 99. doi:10.3389/ffgc.2020.00099.
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59Ganesan, A. L., Manizza, M., Morgan, E., Harth, C. M., Kozlova, E., Lueker, T., Manning, A. J., Lunt, M. F., Mühle, J., Lavric, J. V., Heimann, M., Weiss, R. F., Rigby, M. (2020). Marine nitrous oxide emissions from three Eastern boundary upwelling systems inferred from atmospheric observations. Geophysical Research Letters, 47(14): e2020GL087822. doi:10.1029/2020GL087822.
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60Gayantha, 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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61Gebser, B., Pohnert, G. (2013). Synchronized regulation of different zwitterionic metabolites in the osmoadaption of phytoplankton. Marine Drugs, 11(6), 2168-2182. doi:10.3390/md11062168.
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62Gebser, B., Thume, K., Steinke, M., Pohnert, G. (2020). Phytoplankton-derived zwitterionic gonyol and dimethylsulfonioacetate interfere with microbial dimethylsulfoniopropionate sulfur cycling. Microbiology, 9(5): e1014. doi:10.1002/mbo3.1014.
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63Geller, J., Neumann, M. H. (2018). Improved local polynomial estimation in time series regression. Journal of nonparametric statistics, 30(1), 1-27. doi:10.1080/10485252.2017.1402118. (internal: final.pdf )
64Göckede, M., Kittler, F., Kwon, M. J., Burjack, I., Heimann, M., Kolle, O., Zimov, N., Zimov, S. (2017). Shifted energy fluxes, increased Bowen ratios, and reduced thaw depths linked with drainage-induced changes in permafrost ecosystem structure. The Cryosphere, 11(6), 2975-2996. doi:10.5194/tc-11-2975-2017.
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65Göckede, M., Kittler, F., Schaller, C. (2019). Quantifying the impact of emission outbursts and non-stationary flow on eddy covariance CH4 flux measurements using wavelet techniques. Biogeosciences, 16(16), 3113-3131. doi:10.5194/bg-16-3113-2019.
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66Göckede, M., Kwon, M. J., Kittler, F., Heimann, M., Zimov, N., Zimov, S. (2019). Negative feedback processes following drainage slow down permafrost degradation. Global Change Biology, 25(10), 3254-3266. doi:10.1111/gcb.14744.
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67Guanche Garcia, Y., Rodner, E., Flach, M., Sippel, S., Mahecha, M. D., Denzler, J. (2016). Detecting multivariate biosphere extremes. In A. Banerjee, W. Ding, V. Dy (Eds.), Proceedings of the 6th International Workshop on Climate Informatics: CI2016: NCAR Technical Note NCAR/TN-529+PROC (pp. 9-12). Boulder: National Center for Atmospheric Research.
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68Guderle, 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.
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69Guderle, M., Hildebrandt, A. (2015). Using measured soil water contents to estimate evapotranspiration and root water uptake profiles – a comparative study. Hydrology and Earth System Sciences, 19(1), 409-425. doi:10.5194/hess-19-409-2015.
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70Guhra, 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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110Kountouris, 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.
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260Trautmann, 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.
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261Truckenbrodt, S., Schmullius, C. C. (2018). Seasonal evolution of soil and plant parameters on the agricultural Gebesee test site: a database for the set-up and validation of EO-LDAS and satellite-aided retrieval models. Earth System Science Data, 10(1), 525-548. doi:10.5194/essd-10-525-2018.
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262Urban, 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.
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263Urban, M., Forkel, M., Eberle, J., Hüttich, C., Schmullius, C., Herold, M. (2014). Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981–2012). Remote Sensing, 6(3), 2296-2316. doi:10.3390/rs6032296.
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264Urban, M., Forkel, M., Schmullius, C., Hese, S., Hüttich, C., Herold, M. (2014). Identification of land surface temperature and albedo trends in AVHRR pathfinder data from 1982 to 2005 for northern Siberia. International Journal of Remote Sensing, 34(12), 4491-4507. doi:10.1080/01431161.2013.779760. (internal: final.pdf )
265Urbazaev, 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.
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266Urbazaev, M., Thiel, C., Cremer, F., Dubayah, R., Migliavacca, M., Reichstein, M., Schmullius, C. (2018). Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico. Carbon Balance and Management, 13(1): 5. doi:10.1186/s13021-018-0093-5.
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267Urbazaev, M., Thiel, C., Mathieu, R., Naidoo, L., Levick, S. R., Smit, I., Asner, G., Schmullius, C. (2015). Assessment of the mapping of fractional woody cover in southern African savannas using multi-temporal and polarimetric ALOS PALSAR L-band images. Remote Sensing of Environment, 166, 138-153. doi:10.1016/j.rse.2015.06.013. (internal: final.pdf )
268Urbazaev, M., Thiel, C., Migliavacca, M., Reichstein, M., Rodriguez-Veiga, P., Schmullius, C. (2016). Improved multi-sensor satellite-based aboveground biomass estimation by selecting temporally stable forest inventory plots using NDVI time series. Forests, 7(8): 169. doi:10.3390/f7080169.
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269van der Plas, F., Allan, E., Fischer, M., Alt, F., Arndt, H., Binkenstein, J., Blaser, S., Bluthgen, N., Bohm, S., Holzel, N., Klaus, V. H., Kleinebecker, T., Morris, K., Oelmann, Y., Prati, D., Renner, S. C., Rillig, M. C., Schaefer, H. M., Schloter, M., Schmitt, B., Schöning, I., Schrumpf, M., Solly, E., Sorkau, E., Steckel, J., Steffan-Dewenter, I., Stempfhuber, B., Tschapka, M., Weiner, C. N., Weisser, W. W., Werner, M., Westphal, C., Wilcke, W., Manning, P. (2019). Towards the development of general rules describing landscape heterogeneity-multifunctionality relationships. Journal of Applied Ecology, 56, 168-179. doi:10.1111/1365-2664.13260. (internal: final.pdf suppl1.docx suppl2.zip )
270van Laaten, N., Merten, D., von Tümpling, W., Pirrung, T. (2020). Comparison of spider web and moss bag biomonitoring to detect sources of airborne trace elements. Water, Air, and Soil Pollution, 231: 512. doi:10.1007/s11270-020-04881-8.
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271Verma, S., Marshall, J., Gerbig, C., Rödenbeck, C., Totsche, K. U. (2017). The constraint of CO2 measurements made onboard passenger aircraft on surface–atmosphere fluxes: the impact of transport model errors in vertical mixing. Atmospheric Chemistry and Physics, 17(9), 5665-5675. doi:10.5194/acp-17-5665-2017.
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272Verma, S., Marshall, J., Parrington, M., Agusti-Panareda, A., Massart, S., Chipperfield, M. P., Wilson, C., Gerbig, C. (2017). Extending methane profiles from aircraft into the stratosphere for satellite total column validation using the ECMWF C-IFS and TOMCAT/SLIMCAT 3-D model. Atmospheric Chemistry and Physics, 17(11), 6663-6678. doi:10.5194/acp-2016-704.
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273von Buttlar, J., Zscheischler, J., Mahecha, M. D. (2014). An extended approach for spatiotemporal gapfilling: dealing with large and systematic gaps in geoscientific datasets. Nonlinear Processes in Geophysics, 21, 203-215. doi:10.5194/npg-21-203-2014.
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274von 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.
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275Whan, K., Zscheischler, J., Orth, R., Shongwe, M., Rahimi, M., Asare, E. O. (2015). Impact of soil moisture on extreme maximum temperatures in Europe. Weather and Climate Extremes, 9, 57-67. doi:10.1016/j.wace.2015.05.001.
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276Witt, R., Günther, F., Lauterbach, S., Kasper, T., Mäusbacher, R., Yao, T., Gleixner, G. (2016). Biogeochemical evidence for freshwater periods during the Last Glacial Maximum recorded in lake sediments from Nam Co, south-central Tibetan Plateau. Journal of Paleolimnology, 55(1), 67-82. doi:10.1007/s10933-015-9863-1.
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277Wunch, D., Wennberg, P. O., Osterman, G., Fisher, B., Naylor, B., Roehl, C. M., O'Dell, C., Mandrake, L., Viatte, C., Griffith, D. W., Deutscher, N. M., Velazco, V. A., Notholt, J., Warneke, T., Petri, C., Maziere, M. D., Sha, M. K., Sussmann, R., Rettinger, M., Pollard, D., Robinson, J., Morino, I., Uchino, O., Hase, F., Blumenstock, T., Kiel, M., Feist, D. G., Arnold, S. G., Strong, K., Mendonca, J., Kivi, R., Heikkinen, P., Iraci, L., Podolske, J., Hillyard, P. W., Kawakami, S., Dubey, M. K., Parker, H. A., Sepulveda, E., Rodriguez, O. E. G., Te, Y., Jeseck, P., Gunson, M. R., Crisp, D., Eldering, A. (2017). Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) XCO2 measurements with TCCON. Atmospheric Measurement Techniques, 10(6), 2209-2238. doi:10.5194/amt-10-2209-2017.
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278Wutzler, 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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279Wutzler, 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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280Zang, C. S., Jochner-Oette, S., Cortés, J., Rammig, A., Menzel, A. (2019). Regional trend changes in recent surface warming. Climate Dynamics, 52(11), 6463-6473. doi:10.1007/s00382-018-4524-5. (internal: final.pdf suppl1.pdf )
281Zethof, J. H. T., Leue, M., Vogel, C., Stoner, S., Kalbitz, K. (2019). Identifying and quantifying geogenic organic carbon in soils – the case of graphite. Soil, 5(2), 383-398. doi:10.5194/soil-5-383-2019.
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282Zhang, X., Xu, B., Günther, F., Witt, R., Wang, M., Xie, Y., Zhao, H., Li, J., Gleixner, G. (2017). Rapid northward shift of the Indian monsoon on the Tibetan Plateau at the end of the Little Ice Age. Journal of Geophysical Research: Atmospheres, 122(17), 9262-9279. doi:10.1002/2017JD026849.
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283Zhang, 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 )
284Zscheischler, J., Janzing, D., Zhang, K. (2011). Testing whether linear equations are causal: A free probability theory approach. In Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI). AUAI Press. (internal: final.pdf )
285Zscheischler, 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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286Zscheischler, J., Mahecha, M. D., von Buttlar, J., Harmeling, S., Jung, M., Rammig, A., Randerson, T. J., Schölkopf, B., Seneviratne, I. S., Tomelleri, E., Zaehle, S., Reichstein, M. (2014). A few extreme events dominate global interannual variability in gross primary production. Environmental Research Letters, 9(3): 035001. doi:10.1088/1748-9326/9/3/035001.
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287Zscheischler, J., Mahecha, M., Harmeling, S., Reichstein, M. (2013). Detection and attribution of large spatiotemporal extreme events in Earth observation data. Ecological Informatics, 15, 66-73. doi:10.1016/j.ecoinf.2013.03.004. (internal: final.pdf )
288Zscheischler, J., Michalak, A. M., Schwalm, C., Mahecha, M. D., Huntzinger, D. N., Reichstein, M., Berthier, G., Ciais, P., Cook, R. B., El-Masri, B., Huang, M., Ito, A., Jain, A., King, A., Lei, H., Lu, C., Mao, J., Peng, S., Poulter, B., Ricciuto, D., Shi, X., Tao, B., Tian, H., Viovy, N., Wang, W., Wei, Y., Yang, J., Zeng, N. (2014). Impact of large-scale climate extremes on biospheric carbon fluxes: An intercomparison based on MsTMIP data. Global Biogeochemical Cycles, 28(6), 585-600. doi:10.1002/2014GB004826.
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289Zscheischler, J., Reichstein, M., Harmeling, S., Rammig, A., Tomelleri, E., Mahecha, M. D. (2014). Extreme events in gross primary production: a characterization across continents. Biogeosciences, 11(11), 2909-2924. doi:10.5194/bg-11-2909-2014.
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290Zscheischler, J., Reichstein, M., von Buttlar, J., Mu, M., Randerson, J. T., Mahecha, M. D. (2014). Carbon cycle extremes during the 21st century in CMIP5 models: Future evolution and attribution to climatic drivers. Geophysical Research Letters, 41(24), 8853-8861. doi:10.1002/2014GL062409.
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