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DeArmond, D.; Ferraz, J. B. S.; Marra, D. M.; Amaral, M. R. M.; Lima, A. J. N.; Higuchi, N.: Logging intensity affects growth and lifespan trajectories for pioneer species in Central Amazonia. Forest Ecology and Management 522, 120450 (2022)

Naethe, P.; Julitta, T.; Chang, C. Y. Y.; Burkart, A.; Migliavacca, M.; Guanter, L.; Rascher, U.: A precise method unaffected by atmospheric reabsorption for ground-based retrieval of red and far-red sun-induced chlorophyll fluorescence. Agricultural and Forest Meteorology 325, 109152 (2022)

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Bastos, A.; Ciais, P.; Sitch, S.; Aragão, L. E. O. C.; Chevallier, F.; Fawcett, D.; Rosan, T. M.; Saunois, M.; Günther, D.; Perugini, L. et al.; Robert, C.; Deng, Z.; Pongratz, J.; Ganzenmüller, R.; Fuchs, R.; Winkler, K.; Zaehle, S.; Albergel, C.: On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP₂. Carbon Balance and Management 17, 15 (2022)

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Lacroix, F.; Zaehle, S.; Caldararu, S.; Schaller, J.; Stimmler, P.; Holl, D.; Kutzbach, L.; Göckede, M.: Mismatch of N release from the permafrost and vegetative uptake opens pathways of increasing nitrous oxide emissions in the high Arctic. Global Change Biology 28 (20), pp. 5973 - 5990 (2022)

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Panwar, A.; Kleidon, A.: Evaluating the response of diurnal variations in surface and air temperature to evaporative conditions across vegetation types in FLUXNET and ERA5. Journal of Climate 35 (19), pp. 2701 - 2728 (2022)

Park , C.; El-Madany, T. S.; Lee, S.: Environmental factors contributing to variations in CO₂ flux over a barley–rice double-cropping paddy field in the Korean Peninsula. International Journal of Biometeorology 66, pp. 2069 - 2082 (2022)

Pickering, M.; Cescatti, A.; Duveiller, G.: Sun-induced fluorescence as a proxy for primary productivity across vegetation types and climates. Biogeosciences 19 (20), pp. 4833 - 4864 (2022)

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Son, R.; Ma, P.-L.; Wang , H.; Rasch, P. J.; Wang, S.-Y. (.; Kim, H.; Jeong , J.-H.; Lim , K.-S. S.; Yoon, J.-H.: Deep Learning provides substantial improvements to county-level fire weather forecasting over the western United States. Journal of Advances in Modeling Earth Systems 14 (10), e2022MS002995 (2022)

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