Sarquis, A.; Sierra, C. A.: Information content in time series of litter decomposition studies and the transit time of litter in arid lands. Biogeosciences 20 (9), pp. 1759 - 1771 (2023)
Giraldo, J. A.; Valle, J. I. d.; González-Caro, S.; David, D. A.; Taylor, T.; Tobón, C.; Sierra, C. A.: Tree growth periodicity in the ever-wet tropical forest of the Americas. Journal of Ecology 111 (4), pp. 889 - 902 (2023)
Sierra, C. A.; Quetin, G. R.; Metzler, H.; Mueller, M.: A decrease in the age of respired carbon from the terrestrial biosphere and increase in the asymmetry of its distribution. Philosophical Transactions of the Royal Society of London - Series A: Mathematical Physical and Engineering Sciences 381 (2261), 20220200 (2023)
Wells, J. M.; Crow, S. E.; Sierra, C.; Deenik, J. L.; Carlson, K. M.; Meki, M. N.; Kiniry, J.: Edaphic controls of soil organic carbon in tropical agricultural landscapes. Scientific Reports 12, 21574 (2022)
Salazar, A.; Sanchez, A.; Dukes, J. S.; Salazar, J. F.; Clerici, N.; Lasso, E.; Sanchez-Pacheco, S. J.; Rendon, A. M.; Villegas, J. C.; Sierra, C.et al.; Poveda, G.; Quesada, B.; Uribe, M. R.; Rodríguez-Buritica, S.; Ungar, P.; Pulido-Santacruz, P.; Ruiz-Morato, N.; Arias, P. A.: Peace and the environment at the crossroads: Elections in a conflict-troubled biodiversity hotspot. Environmental Science and Policy 135, pp. 77 - 85 (2022)
Sarquis, A.; Siebenhart, I. A.; Austin, A. T.; Sierra, C. A.: Aridec: an open database of litter mass loss from aridlands worldwide with recommendations on suitable model applications. Earth System Science Data 14 (7), pp. 3471 - 3488 (2022)
Vásquez, M.; Lara, W.; del Valle, J. I.; Sierra, C.: Reconstructing past fossil-fuel CO2 concentrations using tree rings and radiocarbon in the urban area of Medellín, Colombia. Environmental Research Letters 17 (5), 055008 (2022)
Chanca, I.; Trumbore, S. E.; Macario, K.; Sierra, C.: Probability distributions of radiocarbon in open linear compartmental systems at steady-state. Journal of Geophysical Research: Biogeosciences 127 (3), e2021JG006673 (2022)
Azizi-Rad, M.; Guggenberger, G.; Mad, Y.; Sierra, C. A.: Sensitivity of soil respiration rate with respect to temperature, moisture and oxygen under freezing and thawing. Soil Biology and Biochemistry 165, 108488 (2022)
Heckman, K.; Hicks Pries, C. E.; Lawrence, C. R.; Rasmussen, C.; Crow , S. E.; Hoyt, A. M.; von Fromm, S. F.; Shi, Z.; Stoner, S.; McGrath, C.et al.; Beem-Miller, J.; Berhe, A. A.; Blankinship, J. C.; Keiluweit, M.; Marín-Spiotta, E.; Monroe, J. G.; Plante, A. F.; Schimel, J.; Sierra, C.; Thompson, A.; Wagai, R.: Beyond bulk: Density fractions explain heterogeneity in global soil carbon abundance and persistence. Global Change Biology 28 (3), pp. 1178 - 1196 (2022)
Giraldo, J. A.; del Valle, J. I.; González-Caro, S.; Sierra, C.: Intra-annual isotope variations in tree rings reveal growth rhythms within the least rainy season of an ever-wet tropical forest. Trees 36 (3), pp. 1039 - 1052 (2022)
Uribe, M. R.; Sierra, C.; Dukes, J. S.: Seasonality of tropical photosynthesis: A pantropical map of correlations with precipitation and radiation and comparison to model outputs. Biogeosciences 126 (11), e2020JG006123 (2021)
Stoner, S.; Hoyt, A. M.; Trumbore, S. E.; Sierra, C.; Schrumpf, M.; Doetterl, S.; Baisden, W. T.; Schipper, L. A.: Soil organic matter turnover rates increase to match increased inputs in grazed grasslands. Biogeochemistry 156, pp. 145 - 160 (2021)
Thanks to FLUXCOM-X, the next generation of data driven, AI-based earth system models, scientists can now see the Earth’s metabolism at unprecedented detail – assessed everywhere on land and every hour of the day.
David Hafezi Rachti was awarded twice: for his EGU poster with this year’s “Outstanding Student and PhD candidate Presentation” (OSPP) and for his Bachelor thesis, he received the 1st prize of the “Young Climate Scientist Award 2024”.
A recent study by scientists from the Max Planck Institute for Biogeochemistry and the University of Leipzig suggests that increasing droughts in the tropics and changing carbon cycle responses due to climate change are not primarily responsible for the strong tropical response to rising temperatures. Instead, a few particularly strong El Niño events could be the cause.
EU funds the international research project AI4PEX to further improve Earth system models and thus scientific predictions of climate change. Participating scientists from 9 countries met at the end of May 2024 to launch the project at the MPI for Biogeochemistry in Jena, which is leading the project.
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).
When it comes to studying climate change, we generally assume that the total amount of carbon emissions determines how much the planet will warm. A new study suggests that not only the amount, but also the timing of those emissions controls the amount of surface warming that occurs on human time-scale.
Tropical forests are continuously being fragmented and damaged by human influences. Using remote sensing data and cutting-edge data analysis methods, researchers can now show for the first time that the impact of this damage is greater than previously estimated.
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.