0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessTo date, extensive field measurements of nitrogen oxide (N2O) exchanges in soils across diverse terrestrial ecosystems, complemented by controlled laboratory incubation studies, have unveiled considerable variability in N2O soil fluxes. This variability arises from the intricate interplay of various factors. Notably, soil N2O emissions display significant spatiotemporal fluctuations, including extreme events. The primary objective of this study is to enhance our understanding of the environmental factors influencing soil N2O fluxes and to characterize instances of pronounced N2O emissions, hereafter termed "hot-moments."Our investigation encompassed six distinct sites of the Integrated Carbon Observation System (ICOS) network including agricultural systems, sylvicultural systems, and unmanaged forests spanning the northern hemisphere. To identify and categorize hot-moments events, we standardized N2O values and considered events greater than or equal to 4, or -4-fold standard deviations from the mean of each site.We then conducted wavelet coherence analyses to delve into the patterns of N2O fluxes. In the biwavelet plots, our variable of interest was juxtaposed with each soil environmental variable, illustrating the distribution of correlations in the time-frequency domain of our signals. Employing this advanced approach, we explored N2O patterns and their variability in relation to specific environmental characteristics (soil water content, soil temperature, and CO2 flux) within the six temporal series (different soil types).Our analyses revealed a recurring pattern across all time series, with a frequency of approximately 24 hours for the N2O vs. CO2 plots, indicating a daily correlation between the emissions of both gases. This correlation may be linked to seasonality in certain sites. Soil temperature emerged as a leading factor in shaping the daily patterns of N2O fluxes in most sites, exhibiting also a 24-hour pattern. Although the periodicities related to soil water content were less clear, a discernible pattern persisted with variations within sites. However, we will deepen into the discussion of these results and their implications in our EGU presentation. Key words: N2O fluxes, hot-moments, soil environmental variables, temporal series, wavelet coherence analysis
Maria Cinta Sabaté Gil, Josep Penuelas, Marcos Fernández‐Martínez, Stefania Mattana, Tiphaine Tallec, François Boland, Bernard Heinesch, Iris Freigenwinter, Helena Rautakoski, Annaela Lohila, Enzo Magliulo, Ivan Jansens, Marilyn Roland, Sílvia Poblador, Àngela Ribas (2024). Dynamics of soil N2O fluxes and hot-moments typification: How are they related to environmental characteristics?. , DOI: https://doi.org/10.5194/egusphere-egu24-20747.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Preprint
Year
2024
Authors
15
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.5194/egusphere-egu24-20747
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access