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.
2Akita, 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.
3Alekseychik, 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.
4Allan, 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.
5Arnold, 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.
6Benk, 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.
7Beulig, 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.
8Boese, 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.
9Boese, 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.
10Boonman, 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.
11Borsdorff, 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.
12Boschetti, 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.
13Boschetti, 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.
14Botía, 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.
15Camps-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).
16Carvalhais, 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.
17Castro-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.
18Ceballos-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.
19Ceballos-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.
20Chambers, 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.
21Chen, 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.
22Chernetskiy, 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.
23Chowdhury, 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.
24Cortés, 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.
25Cremer, 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.
26Davies-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.
27De 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.
28Denissen, 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.
29Dhara, 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.
30Dhara, 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.
31Díaz, 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.
Postprint available
32Dibbern, 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.
33Dietze, 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.
34Ding, 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.
35Ding, 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.
36Dippold, 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.
37dos 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.
38Ehrle, 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.
39Ehrle, 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.
40Ezhova, 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.
41Feist, 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.
42Filippa, 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.
43Fischer, J., Kleidon, A., Dittrich, P. (2015). Thermodynamics of random reaction networks. PLoS One, 10(2): e0117312. doi:10.1371/journal.pone.0117312.
44Fischer, 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.
45Flach, 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.
46Flach, 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.
47Flach, 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.
48Forkel, 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.
49Forkel, 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.
50Forkel, 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.
51Forkel, 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.
52Forkel, 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.
53Frank, 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.
54Franz, 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.
55Franz, 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.
56Gayantha, 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.
57Gebser, 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.
58Geller, 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.
59Göckede, 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.
60Göckede, 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.
61Göckede, 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.
62Guanche 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.
63Guderle, 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.
64Guderle, 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.
65Guhra, 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.
66Gunina, A., Kuzyakov, Y. (2014). Pathways of litter C by formation of aggregates and SOM density fractions: Implications from 13C natural abundance. Soil Biology and Biochemistry, 71, 95-104. doi:10.1016/j.soilbio.2014.01.011.
67Günther, F., Aichner, B., Siegwolf, R., Xu, B., Yao, T., Gleixner, G. (2013). A synthesis of hydrogen isotope variability and its hydrological significance at the Qinghai-Tibetan Plateau. Quaternary International, 313-314, 3-16. doi:10.1016/j.quaint.2013.07.013.
68Günther, F., Mügler, I., Mäusbacher, R., Daut, G., Leopold, K., Gerstmann, U. C., Xu, B., Yao, T., Gleixner, G. (2011). Response of d D values of sedimentary n-alkanes to variations in source water isotope signals and climate proxies at lake Nam Co, Tibetan Plateau. Quaternary International, 236, 82-90. doi:10.1016/j.quaint.2010.12.006.
69Günther, F., Thiele, A., Gleixner, G., Xu, B., Yao, T., Schouten, S. (2014). Distribution of bacterial and archaeal ether lipids in soils and surface sediments of Tibetan lakes: Implications for GDGT-based proxies in saline high mountain lakes. Organic Geochemistry, 67, 19-30. doi:10.1016/j.orggeochem.2013.11.014.
70Günther, F., Witt, R., Schouten, S., Mäusbacher, R., Daut, G., Zhue, L., Xue, B., Yaoe, T., Gleixner, G. (2015). Quaternary ecological responses and impacts of the Indian Ocean Summer Monsoon at Nam Co, Southern Tibetan Plateau. Quaternary Science Reviews, 112, 66-77. doi:10.1016/j.quascirev.2015.01.023.
71Hanf, S., Boegoezi, T., Keiner, R., Frosch, T., Popp, J. (2015). Fast and highly sensitive fiber-enhanced Raman spectroscopic monitoring of molecular H2 and CH4 for point-of-care diagnosis of malabsorption disorders in exhaled human breath. Analytical Chemistry, 87(2), 982-988. doi:10.1021/ac503450y.
72Hanf, S., Fischer, S., Hartmann, H., Keiner, R., Trumbore, S. E., Popp, J., Frosch, T. (2015). Online investigation of respiratory quotients in Pinus sylvestris and Picea abies during drought and shading by means of cavity-enhanced Raman multi-gas spectrometry. Analyst, 140(13), 4473-4481. doi:10.1039/c5an00402k.
73Hanf, S., Keiner, R., Yan, D., Popp, J., Frosch, T. (2014). Fiber-enhanced Raman multi-gas spectroscopy – a versatile tool for environmental gas sensing and breath analysis. Analytical Chemistry, 86(11), 5278-5285. doi:10.1021/ac404162w.
74Hawkes, J. A., D’Andrilli, J., Agar, J. N., Barrow, M. P., Berg, S. M., Catalán, N., Chen, H., Chu, R. K., Cole, R. B., Dittmar, T., Gavard, R., Gleixner, G., Hatcher, P. G., He, C., Hess, N. J., Hutchins, R. H. S., Ijaz, A., Jones, H. E., Kew, W., Khaksari, M., Lozano, D. C. P., Lv, J., Mazzoleni, L., Noriega-Ortega, B. E., Osterholz, H., Radoman, N., Remucal, C. K., Schmitt, N. D., Schum, S., Shi, Q., Simon, C., Singer, G., Sleighter, R. L., Stubbins, A., Thomas, M. J., Tolic, N., Zhang, S., Zito, P., Podgorski, D. C. (in press). An international laboratory comparison of dissolved organic matter composition by high resolution mass spectrometry: Are we getting the same answer? Limnology and Oceanography: Methods. doi:10.1002/lom3.10364.
75Heckel, 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.
76Heimann, M., Schulze, E. D., Winderlich, J., Andreae, M. O., Chi, X., Gerbig, C., Kolle, O., Kübler, K., Lavric, J. V., Mikhailov, E., Panov, A., Park, S.-B., Rödenbeck, C., Skorochod, A. (2014). The Zotino Tall Tower Observatory (Zotto): Quantifying large scale biogeochemical changes in Central Siberia. Nova Acta Leopoldina, 117(399), 51-64.
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