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)
The new research project "PollenNet" aims to use artificial intelligence to accurately predict the spread of pollen. In order to improve allergy prevention, experts are bringing together the latest interdisciplinary findings from a wide range of fields.
If rivers overflow their banks, the consequences can be devastating. Using methods of explainable machine learning, researchers at the Helmholtz Centre for Environmental Research (UFZ) have shown that floods are more extreme when several factors are involved in their development.
Europe is the fastest warming continent in the world. According to the European Environment Agency’s assessment, many of these risks have already reached critical levels and could become catastrophic without urgent and decisive action.
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.
Global experts have unveiled the annual 10 New Insights in Climate Science report. The report equips policymakers with the latest and most pivotal climate science research from the previous 18 months, synthesised to help inform negotiations at COP28 and policy implementation through 2024 and beyond.
Vegetation can respond to drought through different mechanisms, including changes in the plants’ structure and physiology. By analyzing state-of-the-art satellite-derived datasets with explainable machine learning methods, an international team around Wantong Li and René Orth showed that the vegetation’s physiology in many ecosystems has deviated from its structure under drought on a global scale.
Carbon sinks on the land surface mitigate the greenhouse effect. An international team of scientists has now determined that the vast majority of Europe’s total above-ground carbon storage is provided by the forests of Eastern Europe. However, this carbon sink has declined, mainly due to changes in land use.
The world’s forests, grasslands, and other terrestrial ecosystems have played a substantial role in offsetting human carbon emissions—a capability that researchers say would be threatened by continued global change.
A new study shows that the efficiency of microbial carbon use is at least four times more influential than other biological factors or environmental conditions on the global storage and distribution of carbon in soil.
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.
Dr. Ana Bastos, group leader at Max Planck Institute for Biogeochemistry in Jena, was awarded the Beutenberg Campus science award in the category „outstanding junior research scientist”.