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1Baldocchi, D., Chu, H., Reichstein, M. (2018). Inter-annual variability of net and gross ecosystem carbon fluxes: A review. Agricultural and Forest Meteorology, 249, 520-533. doi:10.1016/j.agrformet.2017.05.015.
2Bodesheim, P., Jung, M., Gans, F., Mahecha, M. D., Reichstein, M. (2018). Upscaled diurnal cycles of land-atmosphere fluxes: a new global half-hourly data product. Earth System Science Data, 10, 1327-1365. doi:10.5194/essd-10-1327-2018.
3Bucher, 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.
4Camino-Serrano, M., Guenet, B., Luyssaert, S., Ciais, P., Bastrikov, V., De Vos, B., Gielen, B., Gleixner, G., Jornet-Puig, A., Kaiser, K., Kothawala, D., Lauerwald, R., Peñuelas, J., Schrumpf, M., Vicca, S., Vuichard, N., Walmsley, D., Janssens, I. A. (2018). ORCHIDEE-SOM: Modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe. Geoscientific Model Development, 11(3), 937-957. doi:10.5194/gmd-11-937-2018.
5Castro-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.
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.
7Damm, A., Paul-Limoges, E., Haghighi, E., Simmer, C., Morsdorf, F., Schneider, F. D., van der Tol, C., Migliavacca, M., Rascher, U. (2018). Remote sensing of plant-water relations: An overview and future perspectives. Journal of Plant Physiology, 227, 3-19. doi:10.1016/j.jplph.2018.04.012.
8Dubois, N., Saulnier-Talbot, É., Mills, K., Gell, P., Battarbee, R., Bennion, H., Chawchai, S., Dong, X., Francus, P., Flower, R., Gomes, D. F., Gregory-Eaves, I., Humane, S., Kattel, G., Jenny, J.-P., Langdon, P., Massaferro, J., McGowan, S., Mikomägi, A., Ngoc, N. T. M., Ratnayake, A. S., Reid, M., Rose, N., Saros, J., Schillereff, D., Tolotti, M., Valero-Garcés, B. (2018). First human impacts and responses of aquatic systems: A review of palaeolimnological records from around the world. The Anthropocene Review, 5(1), 28-68. doi:10.1177/2053019617740365.
9Ebeling, 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.
10El-Madany, T. S., Reichstein, M., Pérez-Priego, O., Carrara, A., Moreno, G., Pilar Martín, M., Pacheco-Labrador, J., Wohlfahrt, G., Nieto, H., Weber, U., Kolle, O., Yunpeng, L., Carvalhais, N., Migliavacca, M. (2018). Drivers of spatio-temporal variability of carbon dioxide and energy fluxes in a Mediterranean savanna ecosystem. Agricultural and Forest Meteorology, 262, 258-278. doi:10.1016/j.agrformet.2018.07.010.
11Erb, 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.
12Filippa, 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.
13Hartmann, H., Adams, H. D., Hammond, W. M., Hoch, G., Landhäusser, S. M., Wiley, E., Zaehle, S. (2018). Identifying differences in carbohydrate dynamics of seedlings and mature trees to improve carbon allocation in models for trees and forests. Environmental and Experimental Botany, 152, 7-18. doi:10.1016/j.envexpbot.2018.03.011.
14Hartmann, H., Moura, C., Anderegg, W. R. L., Ruehr, N. K., Salmon, Y., Allen, C. D., Arndt, S. K., Breshears, D. D., Davi, H., Galbraith, D., Ruthrof, K. X., Wunder, J., Adams, H. D., Bloemen, J., Cailleret, M., Cobb, R., Gessler, A., Grams, T. E. E., Jansen, S., Kautz, M., Lloret, F., O’Brien, M. (2018). Research frontiers for improving our understanding of drought-induced tree and forest mortality. New Phytologist, 218(1), 15-28. doi:10.1111/nph.15048.
15Klaus, V. H., Kleinebecker, T., Busch, V., Fischer, M., Hölzel, N., Nowak, S., Prati, D., Schäfer, D., Schöning, I., Schrumpf, M., Hamer, U. (2018). Land use intensity, rather than plant species richness, affects the leaching risk of multiple nutrients from permanent grasslands. Global Change Biology, 24(7), 2828-2840. doi:10.1111/gcb.14123.
16Knauer, 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.
17Kondo, M., Ichii, K., Patra, P. K., Poulter, B., Calle, L., Koven, C., Pugh, T. A. M., Kato, E., Harper, A., Zaehle, S., Wiltshire, A. (2018). Plant regrowth as a driver of recent enhancement of terrestrial CO2 uptake. Geophysical Research Letters, 45(10), 4820-4830. doi:10.1029/2018GL077633.
18Le Quéré, C., Andrew, R. M., Friedlingstein, P., Sitch, S., Pongratz, J., Manning, A. C., Korsbakken, J. I., Peters, G. P., Canadell, J. G., Jackson, R. B., Boden, T. A., Tans, P. P., Andrews, O. D., Arora, V. K., Bakker, D. C. E., Barbero, L., Becker, M., Betts, R. A., Bopp, L., Chevallier, F., Chini, L. P., Ciais, P., Cosca, C. E., Cross, J., Currie, K., Gasser, T., Harris, I., Hauck, J., Haverd, V., Houghton, R. A., Hunt, C. W., Hurtt, G., Ilyina, T., Jain, A. K., Kato, E., Kautz, M., Keeling, R. F., Goldewijk, K. K., Körtzinger, A., Landschützer, P., Lefèvre, N., Lenton, A., Lienert, S., Lima, I., Lombardozzi, D., Metzl, N., Millero, F., Monteiro, P. M. S., Munro, D. R., Nabel, J. E. M. S., Nakaoka, S.-i., Nojiri, Y., Padín, X. A., Peregon, A., Pfeil, B., Pierrot, D., Poulter, B., Rehder, G., Reimer, J., Rödenbeck, C., Schwinger, J., Séférian, R., Skjelvan, I., Stocker, B. D., Tian, H., Tilbrook, B., van der Laan-Luijkx, I. T., van der Werf, G. R., van Heuven, S., Viovy, N., Vuichard, N., Walker, A. P., Watson, A. J., Wiltshire, A. J., Zaehle, S., Zhu, D. (2018). Global Carbon Budget 2017. Earth System Science Data, 10(1), 405-448. doi:10.5194/essd-10-405-2018.
19Meier, 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.
20Nelson, 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.
21Park, 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.
22Rödenbeck, C., Zaehle, S., Keeling, R., Heimann, M. (2018). How does the terrestrial carbon exchange respond to inter-annual climatic variations? A quantification based on atmospheric CO2 data. Biogeosciences, 15(8), 2481-2498. doi:10.5194/bg-15-2481-2018.
23Schaphoff, 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.
24Schaphoff, 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.
25Schulze, 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.
26Sippel, 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.
27Sippel, 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. doi:10.1007/s40641-018-0103-4.
28Sorkau, E., Boch, S., Boeddinghaus, R. S., Bonkowski, M., Fischer, M., Kandeler, E., Klaus, V. H., Kleinebecker, T., Marhan, S., Müller, J., Prati, D., Schöning, I., Schrumpf, M., Weinert, J., Oelmann, Y. (2018). The role of soil chemical properties, land use and plant diversity for microbial phosphorus in forest and grassland soils. Journal of Plant Nutrition and Soil Science, 181(2), 185-197. doi:10.1002/jpln.201700082.
29Sun, Y., Frankenberg, C., Jung, M., Joiner, J., Guanter, L., Kohler, P., Magney, T. (2018). Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the orbiting carbon observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP. Remote Sensing of Environment, 209, 808-823. doi:10.1016/j.rse.2018.02.016.
30Teubner, 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.
31Tian, 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. Bulletin of the American Meteorological Society, 99(6), 1231-1251. doi:10.1175/BAMS-D-17-0212.1.
32Trautmann, 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.
33von Bloh, W., Schaphoff, S., Müller, C., Rolinski, S., Waha, K., Zaehle, S. (2018). Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0). Geoscientific Model Development, 11(7), 2789-2812. doi:10.5194/gmd-11-2789-2018.
34von 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.
35Wäldchen, J., Mäder, P. (2018). Plant species identification using computer vision: A systematic literature review. Archives of computational methods in engineering, 25(2), 507-543. doi:10.1007/s11831-016-9206-z.
36Wäldchen, J., Rzanny, M., Seeland, M., Mäder, P. (2018). Automated plant species identification—Trends and future directions. PLoS Computational Biology, 14(4): e1005993. doi:10.1371/journal.pcbi.1005993.
37Wartenburger, R., Seneviratne, S. I., Hirschi, M., Chang, J., Ciais, P., Deryng, D., Elliott, J., Folberth, C., Gosling, S. N., Gudmundsson, L., Henrot, A.-J., Hickler, T., Ito, A., Khabarov, N., Kim, H., Leng, G., Liu, J., Liu, X., Masaki, Y., Morfopoulos, C., Müller, C., Müller Schmied, H., Nishina, K., Orth, R., Pokhrel, Y., Pugh, T. A. M., Satoh, Y., Schaphoff, S., Schmid, E., Sheffield, J., Stacke, T., Steinkamp, J., Tang, Q., Thiery, W., Wada, Y., Wang, X., Weedon, G. P., Yang, H., Zhou, T. (2018). Evapotranspiration simulations in ISIMIP2a - Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets. Environmental Research Letters, 13(7): 075001. doi:10.1088/1748-9326/aac4bb.
38Wittich, H. C., Seeland, M., Wäldchen, J., Rzanny, M., Mäder, P. (2018). Recommending plant taxa for supporting on-site species identification. BMC Bioinformatics, 19: 190. doi:10.1186/s12859-018-2201-7.
39Zhang, 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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