Munassar, S.; Rödenbeck, C.; Galkowski, M.; Koch, F.-T.; Totsche, K. U.; Botia, S.; Gerbig, C.: To what extent does the CO2 diurnal cycle impact flux estimates derived from global and regional inversions? Atmospheric Chemistry and Physics 25 (1), pp. 639 - 656 (2025)
Ho, D.; Galkowski, M.; Reum, F.; Botia, S.; Marshall, J.; Totsche, K. U.; Gerbig, C.: Recommended coupling to global meteorological fields for long-term tracer simulations with WRF-GHG. Geoscientific Model Development 17 (20), pp. 7401 - 7422 (2024)
Machado, L. A. T.; Kesselmeier, J.; Botia, S.; van Asperen, H.; Andreae, M. O.; de Araújo, A. C.; Artaxo, P.; Edtbauer, A.; Ferreira, R. R.; Franco, M. A.et al.; Harder, H.; Jones, S. P.; Dias-Júnior, C. Q.; Haytzmann, G. G.; Quesada, C. A.; Komiya, S.; Lavrič, J. V.; Lelieveld, J.; Levin, I.; Nölscher, A.; Pfannerstill, E.; Pöhlker, M. L.; Pöschl, U.; Ringsdorf, A.; Rizzo, L.; Yáñez-Serrano, A. M.; Trumbore, S. E.; Valenti, W. I. D.; de Arellano, J. V.-G.; Walter, D.; Williams, J.; Wolff, S.; Pöhlker, C.: How rainfall events modify trace gas mixing ratios in central Amazonia. Atmospheric Chemistry and Physics 24 (15), pp. 8893 - 8910 (2024)
de Arellano, J. V.-G.; Hartogensis, O. K.; de Boer, H.; Moonen, R.; González-Armas, R.; Janssens, M.; Adnew, G. A.; Bonell-Fontás, D. J.; Botia, S.; Jones, S. P.et al.; van Asperen, H.; Komiya, S.; de Feiter, V. S.; Rikkers, D.; de Haas, S.; Machado, L. A. T.; Dias-Junior, C. Q.; Giovanelli-Haytzmann, G.; Valenti, W. I. D.; Figueiredo, R. C.; Farias, C. S.; Hall, D. H.; Mendonça, A. C. S.; da Silva, F. A. G.; da Silva, J. L. M.; Souza, R.; Martins, G.; Miller, J. N.; Mol, W. B.; Heusinkveld, B.; van Heerwaarden, C. C.; D’Oliveira, F. A. F.; Ferreira, R. R.; Gotuzzo, R. A.; Pugliese, G.; Williams, J.; Ringsdorf, A.; Edtbauer, A.; Quesada, C. A.; Portela, B. T. T.; Alves, E. G.; Pöhlker, C.; Trumbore, S. E.; Lelieveld, J.; Röckmann, T.: CloudRoots-Amazon22: Integrating clouds with photosynthesis by crossing scales. Bulletin of the American Meteorological Society 105 (7), pp. E1275 - E1302 (2024)
van der Woude, A. M.; Peters, W.; Joetzjer, E.; Lafont, S.; Koren, G.; Ciais, P.; Ramonet, M.; Xu, Y.; Bastos, A.; Botia, S.et al.; Sitch, S.; de Kok, R.; Kneuer, T.; Kubistin, D.; Jacotot, A.; Loubet, B.; Herig-Coimbra, P.-H.; Luijkx, D. L. I. T.: Temperature extremes of 2022 reduced carbon uptake by forests in Europe. Nature Communications 14, 6218 (2023)
Alves, E. G.; Santana, R. A.; Dias-Júnior, C. Q.; Botia, S.; Taylor, T.; Yáñez-Serrano, A. M.; Kesselmeier, J.; Bourtsoukidis, E.; Williams, J.; de Assis, P. I. L. S.et al.; Martins, G.; de Souza, R.; Júnior, S. D.; Guenther, A.; Gu, D.; Tsokankunku, A.; Sörgel, M.; Nelson, B.; Pinto, D.; Komiya, S.; Rosa, D. M.; Weber, B.; Barbosa, C.; Robin, M.; Feeley, K. J.; Duque, A.; Lemos, V. L.; Contreras, M. P.; Idarraga, A.; López, N.; Husby, C.; Jestrow, B.; Toro, I. M. C.: Intra- and interannual changes in isoprene emission from central Amazonia. Atmospheric Chemistry and Physics 23 (14), pp. 8149 - 8168 (2023)
Tangarife-Escobar, A.; Koeniger, P.; Lopez-Moreno, J. I.; Botia, S.; Ceballos-Liévano, J. L.: Spatiotemporal variability of stable isotopes in precipitation and stream water in a high elevation tropical catchment in the Central Andes of Colombia. Hydrological Processes 37 (5), e14873 (2023)
de Arellano, J. V.-G.; Hartogensis, O.; Benedict, I.; de Boer, H.; Bosman, P. J. M.; Botia, S.; Cecchini, M. A.; Faassen, K. A. P.; González-Armas, R.; van Diepen, K.et al.; Heusinkveld, B. G.; Janssens, M.; Lobos-Roco, F.; Luijkx, I. T.; Machado, L. A. T.; Mangan, M. R.; Moene, A. F.; Mol, W. B.; van der Molen, M.; Moonen, R.; Ouwersloot, H. G.; Park, S.-W.; Pedruzo-Bagazgoitia, X.; Röckmann, T.; Adnew, G. A.; Ronda, R.; Sikma, M.; Schulte, R.; van Stratum, B. J. H.; Veerman, M. A.; van Zanten, M. C.; van Heerwaarden, C. C.: Advancing understanding of land–atmosphere interactions by breaking discipline and scale barriers. Annals of the New York Academy of Sciences 1522 (1), pp. 74 - 97 (2023)
van der Woude, A. M.; de Kok, R.; Smith, N.; Luijkx, I. T.; Botia, S.; Karstens, U.; Kooijmans, L. M. J.; Koren, G.; Meijer, H.; Steeneveld, G.-J.et al.; Storm, I.; Super, I.; Scheeren, B. A.; Vermeulen, A.; Peters, W.: Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling. Earth System Science Data 15 (2), pp. 579 - 605 (2023)
Dias-Júnior, C. Q.; Carneiro, R. G.; Fisch, G.; D’Oliveira, F. A. F.; Sörgel, M.; Botia, S.; Machado, L. A. T.; Wolff, S.; dos Santos, R. M. N.; Pöhlker, C.: Intercomparison of planetary boundary layer heights using remote sensing retrievals and ERA5 reanalysis over Central Amazonia. Remote Sensing 14 (18), 4561 (2022)
Melack, J. M.; Basso, L. S.; Fleischmann, A. S.; Botia, S.; Guo, M.; Zhou, W.; Barbosa, P. M.; Amaral, J. H.F.; MacIntyre, S.: Challenges regionalizing methane emissions using aquatic environments in the Amazon Basin as examples. Frontiers of Environmental Science & Engineering 10, 866082 (2022)
Botia, S.; Komiya, S.; Marshall, J.; Koch, T.; Galkowski, M.; Lavrič, J. V.; Gomes-Alves, E.; Walter, D.; Fisch, G.; Pinho, D. M.et al.; Nelson, B.; Martins, G.; Luijkx, I. T.; Koren, G.; Florentie, L.; de Araujo, A. C.; Sa, M.; Andreae, M. O.; Heimann, M.; Peters, W.; Gerbig, C.: The CO2 record at the Amazon Tall Tower Observatory: a new opportunity to study processes on seasonal and inter-annual scales. Global Change Biology 28 (2), pp. 588 - 611 (2022)
Correa, P. B.; Dias-Júnior, C. Q.; Cava, D.; Sörgel, M.; Botia, S.; Acevedo, O.; Oliveira, P. E. S.; Manzi, A. O.; Machado, L. A. T.; Martins, H. d. S.et al.; Tsokankunku, A.; de Araújo, A. C.; Lavrič, J. V.; Walter, D.; Mortarini, L.: A case study of a gravity wave induced by Amazon forest orography and low level jet generation. Agricultural and Forest Meteorology 307, 108457 (2021)
Bezerra, V. L.; Dias-Júnior, C. Q.; Vale, R. S.; Santana, R. A.; Botia, S.; Manzi, A. O.; Cohen, J. C. P.; Martins, H. S.; Chamecki, M.; Fuentes, J. D.: Near-surface atmospheric turbulence in the presence of a squall line above a forested and deforested region in the Central Amazon. Atmosphere 12 (4), 461 (2021)
Botía, S. B.; Gerbig, C.; Marshall, J.; Lavrič, J. V.; Walter, D.; Pölhker, C.; Holanda, B.; Fisch, G.; de Araújo, A. C.; Sá, M. O.et al.; Teixeira, P. R.; Resende, A. F.; Dias-Junior, C. Q.; van Asperen, H.; Oliveira, P. S.; Stefanello, M.; Acevedo, O. C.: Understanding nighttime methane signals at the Amazon Tall Tower Observatory (ATTO). Atmospheric Chemistry and Physics 20 (11), pp. 6583 - 6606 (2020)
Botia, S.: Greenhouse gas exchange in the Amazon: Carbon dioxide and methane insights from the Amazon Tall Tower Observatory. Dissertation, 180 pp., Wageningen University & Research, Wageningen (2022)
Botia, S.; Dias-Junior, C. Q.; Komiya, S.; van der Woude, A.; Terristi, M.; de Kok, R.; Koren, G.; van Asperen, H.; Jones, S. P.; D'Oliveira, F. A. F.et al.; Weber, U.; Marques-Filho, E.; Toro, I. M. C.; Araújo, A.; Lavric, J.; Walter, D.; Li, X.; Wigneron, J.-P.; Stocker, B.; de Souza, J. G.; O'Sullivan, M.; Sitch, S.; Ciais, P.; Chevallier, F.; Li, W.; Luijkx, I. T.; Peters, W.; Quesada, C. A.; Zaehle, S.; Trumbore, S. E.; Bastos, A.: Reduced vegetation uptake during the extreme 2023 drought turns the Amazon into a weak carbon source. ESS Open Archive (2025)
Glauch, T.; Marshall, J.; Gerbig, C.; Botia, S.; Galkowski, M.; Vardag, S. N.; Butz, A.: pyVPRM: A next-generation Vegetation Photosynthesis and Respiration Model for the post-MODIS era. EGUsphere (2025)
Meunier, F.; Boeckx, P.; Botia, S.; Bauters, M.; Cherlet, W.; Ciais, P.; Hertog, S. D.; Dietze, M.; Peaucelle, M.; Sibret, T.et al.; Sitch, S.; Li, W.; Verbeeck, H.: The impact of the 2023-2024 drought on intact Amazon forests’ productivity. Research Square (2024)
A study by Leipzig University, the German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig (iDiv) and the MPI for Biogeochemistry shows that gaps in the canopy of a mixed floodplain forest have a direct influence on the temperature and moisture in the forest soil, but only a minor effect on soil activity.
From the Greek philosopher Aristotle to Charles Darwin to the present day, scientists have dealt with this fundamental question of biology. Contrary to public perception, however, it is still largely unresolved. Scientists have now presented a new approach for the identification and delimitation of species using artificial intelligence (AI).
A research team led by the German Centre for Integrative Biodiversity Research (iDiv) and Leipzig University has developed an algorithm that analyses observational data from the Flora Incognita app. The novel can be used to derive ecological patterns that could provide valuable information about the effects of climate change on plants.
Plant observations collected with plant identification apps such as Flora Incognita allow statements about the developmental stages of plants - both on a small scale and across Europe.
We have gained a new external member: Prof. Dr. Christian Wirth has been appointed by the Senate of the Max Planck Society as External Scientific Member. As a former group leader and later fellow at the institute, Prof. Wirth initiated and supported the development of the TRY database, the world's largest collection on plant traits.
A new study shows a natural solution to mitigate the effects of climate change such as extreme weather events. Researchers found that a diverse plant community acts as a buffer against fluctuations in soil temperature. This buffer, in turn, can have a decisive influence on important ecosystem processes.
The plant identification app Flora Incognita receives this year's Sonja Bernadotte Award for its importance in nature education for all age groups and its high scientific standards and usefulness.
The Deutsche Forschungsgemeinschaft (DFG) is to fund a Research Unit in the Jena Experiment for a further four years with around five million euros. The new focus is on the stabilising effect of biodiversity against extreme climate events such as heat, frost or heavy rainfall.
Germany's most popular plant identification app "Flora Incognita" has been further upgraded by a new artificial intelligence. This triples the number of plant species that can be identified up to 16,000. In addition, the app is now available in 20 different languages and also in offline mode.
With a kick-off event on January 12, 2023, Friedrich Schiller University Jena, the Max Planck Institute for Biogeochemistry and the German Aerospace Center jointly opened the ELLIS Unit Jena. Machine learning and artificial intelligence are being used to help address global environmental crises.
Mobile apps like Flora Incognita that allow automated identification of wild plants cannot only identify plant species, but also uncover large scale ecological patterns. These patterns are surprisingly similar to the ones derived from long-term inventory data of the German flora, even though they have been acquired over much shorter time periods and are influenced by user behaviour.