Droevendaalsesteeg 10
6708 PB Wageningen
The Netherlands
I am Stan Schouten, working on IJsselmeer water quality assessments and reconstructing background states for ecological restoration. I focus on longer timescales, which I tackle by using sedimentary records that are kept at lake bottoms.
I did my PhD at the University of Bern as a paleolimnologist focusing on eutrophication, anoxia, and rapid climate change throughout the Pleistocene and Holocene. Thereby working with pigments, key nutrients, redox indicators, paleoclimate and palaeoecological indicators. I am involved in the PaleoIMAGING working group pushing novel scanning techniques in paleoclimatology, ranging from CT-scanning of sediments, MALDI-MS scanning of sediment slabs, to hyperspectral imaging and micro-XRF measurements. I am interrested at longer timescales, and I am very passionate about the “Paleo” question, through the fantastic records that are kept at the dark cold, soft, muddy, lake bottoms. In general, I am interested in the interactions between sediment and freshwater.
https://pastglobalchanges.org/paleoimaging
Advanced biogeochemical imaging techniques now allow for high-resolution paleoclimate reconstructions from various environmental archives, resolving seasonal and annual changes. However, the community currently lacks standardized workflows to pursue best practices in analyzing and integrating the complex data from these methods.
Aligned with the PAGES mission, we aim to bridge this gap by developing a community benchmark workflow (toolbox) for data acquisition and postprocessing, and to align, combine, and interpret multi-proxy data from Micro-X-Ray Fluorescence (µXRF), Mass Spectrometry Imaging (MSI), Hyperspectral Imaging (HSI), and Micro-Computed Tomography (µCT). The µXRF scans provide high-resolution elemental mapping to study sediment provenance, ecosystem changes, and depositional conditions; MSI maps molecular distributions, including organic biomarkers used as environmental proxies such as for temperature or biomass burning, HSI maps organic (e.g., pigments) and inorganic (e.g., minerals) indicators through spectral signatures to trace productivity, redox conditions and sediment provenance, and finally, the µCT offers 3D visualization of density variations, revealing subtle features related to geohazards like volcanic eruptions, earthquakes and floods. The successful integration of these techniques will unlock unprecedented insights into past climate dynamics, geohazards, pollution history, and early anthropogenic impacts relevant to the PAGES mission and community.
Compiling records of the Younger Dryas and reconstructing patterns and trends across this cooling phase in climate history.