Publication Details
Category Text Publication
Reference Category Qualification assignments
DOI 10.22032/dbt.61896
Licence creative commons licence
Title (Primary) Towards unified drought analysis: Detecting direct and legacy effects on forest carbon cycling in eddy covariance data
Author Pohl, F.
Year 2024
Department CHS
Page To 209
Language englisch
Topic T5 Future Landscapes
Abstract Carbon and water fluxes in terrestrial ecosystems are intrinsically coupled across a range of spatial and temporal scales. Water scarcity therefore directly affects the carbon uptake of ecosystems, and the increasing frequency and magnitude of droughts can lead to severe perturbations in the carbon cy-cle, potentially accelerating the pace of global climate change. Forests, in particular, play an important role in the terrestrial carbon cycle, but the long-term effects of extreme events are poorly understood, making it difficult to accurately project the future trajectory of the carbon cycle. In summary, this work highlights several challenges when analysing observational eddy covariance data regarding drought effects. The importance of accurate upscaling of soil moisture measurements and standardised definitions of drought events must be considered in order to derive meaningful results. Recent advances in interpretable machine learning and the increasing availability of eddy covariance measurements across different biomes and multiple decades now allow the non-linear relationships to be investigated in large-scale studies. Further research must take into account the temporal and spatial autocorrelation of the data, the reliability of the available data and standardised definitions of extreme events.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=28092
Pohl, F. (2024):
Towards unified drought analysis: Detecting direct and legacy effects on forest carbon cycling in eddy covariance data
Dissertation, Friedrich-Schiller Universität Jena
209 pp. 10.22032/dbt.61896