Researcher Portfolio
Cheng, Yafang
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society
Researcher Profile
Position: Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons127588
Publications
(1 - 25 of 104)
: Joswig, J., Kattge, J., Kraemer, G., Mahecha, M. D., Rüger, N., Schaepman, M. E., Schrodt, F., & Schuman, M. C. (2023). Imputing missing data in plant traits: A guide to improve gap-filling. Global Ecology and Biogeography, 32(8), 1395-1408. doi:10.1111/geb.13695. [PubMan] : Cortés-Andrés, J., Camps-Valls, G., Sippel, S., Székely, E., Sejdinovic, D., Diaz, E., Pérez-Suay, A., Li, Z., Mahecha, M. D., & Reichstein, M. (2022). Physics-aware nonparametric regression models for Earth data analysis. Environmental Research Letters, 17(5): 054034. doi:10.1088/1748-9326/ac6762. [PubMan] : Pabon-Moreno, D. E., Migliavacca, M., Reichstein, M., & Mahecha, M. D. (2022). On the potential of Sentinel-2 for estimating gross primary production. IEEE Transactions on Geoscience and Remote Sensing, 60: 4409412. doi:10.1109/TGRS.2022.3152272. [PubMan] : Krich, C., Mahecha, M. D., Migliavacca, M., Kauwe, M. D., Griebel, A., Runge, J., & Miralles, D. G. (2022). Decoupling between ecosystem photosynthesis and transpiration: a last resort against overheating. Environmental Research Letters, 17(4): 17 044013. doi:10.1088/1748-9326/ac583e. [PubMan] : Orth, R., O, S., Zscheischler, J., Mahecha, M. D., & Reichstein, M. (2022). Contrasting biophysical and societal impacts of hydro-meteorological extremes. Environmental Research Letters, 17(1): 014044. doi:10.1088/1748-9326/ac4139. [PubMan] : Biriukova, K., Pacheco-Labrador, J., Migliavacca, M., Mahecha, M. D., Gonzalez-Cascon, R., Martín, M. P., & Rossini, M. (2021). Performance of singular spectrum analysis in separating seasonal and fast physiological dynamics of solar-induced chlorophyll fluorescence and PRI optical signals. Journal of Geophysical Research: Biogeosciences, 126(9): e2020JG006158. doi:10.1029/2020JG006158. [PubMan] : Mahecha, M. D., Rzanny, M., Kraemer, G., Mäder, P., Seeland, M., & Wäldchen, J. (2021). Crowd-sourced plant occurrence data provide a reliable description of macroecological gradients. Ecography, 44(8), 1131-1142. doi:10.1111/ecog.05492. [PubMan] : Estupinan-Suarez, L. M., Gans, F., Brenning, A., Gutierrez-Velez, V. H., Londono, M. C., Pabon-Moreno, D. E., Poveda, G., Reichstein, M., Reu, B., Sierra, C., Weber, U., & Mahecha, M. D. (2021). A regional earth system data lab for understanding ecosystem dynamics: An example from tropical South America. Frontiers in Earth Science, 9: 613395. doi:10.3389/feart.2021.613395. [PubMan] : Cortés, J., Mahecha, M. D., Reichstein, M., Myneni, R. B., Chen, C., & Brenning, A. (2021). Where are global vegetation greening and browning trends significant? Geophysical Research Letters, 48(6): e2020GL091496. doi:10.1029/2020GL091496. [PubMan] : Adsuara, J. E., Perez-Suay, A., Moreno-Martınez, A., Camps-Valls, G., Kraemer, G., Reichstein, M., & Mahecha, M. D. (2021). Discovering differential equations from earth observation data. In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 3999-4002). IEEE. doi:10.1109/IGARSS39084.2020.9324639. [PubMan] : Flach, M., Brenning, A., Gans, F., Reichstein, M., Sippel, S., & Mahecha, M. D. (2021). Vegetation modulates the impact of climate extremes on gross primary production. Biogeosciences, 18(1), 39-53. doi:10.5194/bg-18-39-2021. [PubMan] : Johnson, J. E., Laparra, V., Pérez-Suay, A., Mahecha, M. D., & Camps-Valls, G. (2020). Kernel methods and their derivatives: Concept and perspectives for the earth system sciences. PLoS One, 15(10): e0235885. doi:10.1371/journal.pone.0235885. [PubMan] : Pabon-Moreno, D. E., Musavi, T., Migliavacca, M., Reichstein, M., Römermann, C., & Mahecha, M. D. (2020). Ecosystem physio-phenology revealed using circular statistics. Biogeosciences, 17(15), 3991-4006. doi:10.5194/bg-17-3991-2020. [PubMan] : Zscheischler, J., Martius, O., Westra, S., Bevacqua, E., Raymond, C., Horton, R. M., van den Hurk, B., AghaKouchak, A., Jézéquel, A., Mahecha, M. D., Maraun, D., Ramos, A. M., Ridder, N. N., Thiery, W., & Vignotto, E. (2020). A typology of compound weather and climate events. Nature Reviews Earth & Environment, 1, 333-347. doi:10.1038/s43017-020-0060-z. [PubMan] : Cortés, 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. [PubMan] : Kraemer, 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. [PubMan] : Ma, X., Migliavacca, M., Wirth, C., Bohn, F. J., Huth, A., Richter, R., & Mahecha, M. D. (2020). Monitoring plant functional diversity using the reflectance and echo from space. Remote Sensing, 12(8): 1248. doi:10.3390/rs12081248. [PubMan] : Krich, 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. [PubMan] : Linscheid, 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 dynamicsat multiple timescales. Biogeosciences, 17(4), 945-962. doi:10.5194/bg-17-945-2020. [PubMan] : Heckel, 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. [PubMan] : Kraemer, G., Reichstein, M., Camps-Valls, G., Smits, J., & Mahecha, M. D. (2020). The low dimensionality of development. Social Indicators Research, 150, 999-1020. doi:10.1007/s11205-020-02349-0. [PubMan] : Mahecha, 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., Estupinan-Suarez, L. M., 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. [PubMan] : Ma, X., Mahecha, M. D., Migliavacca, M., van der Plas, F., Benavides, R., Ratcliffe, S., Kattge, J., Richter, R., Musavi, T., Baeten, L., Barnoaiea, I., Bohn, F. J., Bouriaud, O., Bussotti, F., Coppi, A., Domisch, T., Huth, A., Jaroszewicz, B., Joswig, J., Pabon-Moreno, D. E., Papale, D., Selvi, F., Laurin, G. V., Valladares, F., Reichstein, M., & Wirth, C. (2019). Inferring plant functional diversity from space: the potential of Sentinel-2. Remote Sensing of Environment, 233: 111368. doi:10.1016/j.rse.2019.111368. [PubMan] : García, Y. G., Shadaydeh, M., Mahecha, M. D., & Denzler, J. (2019). Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model. Natural Hazards, 98(3), 849-867. doi:10.1007/s11069-018-3415-8. [PubMan] : Runge, J., Bathiany, S., Bollt, E., Camps-Valls, G., Coumou, D., Deyle, E., Glymour, C., Kretschmer, M., Mahecha, M. D., Muñoz-Marí, J., van Nes, E. H., Peters, J., Quax, R., Reichstein, M., Scheffer, M., Schölkopf, B., Spirtes, P., Sugihara, G., Sun, J., Zhang, K., & Zscheischler, J. (2019). Inferring causation from time series in Earth system sciences. Nature Communications, 10: 2553. doi:10.1038/s41467-019-10105-3. [PubMan]