SSP3.3 | Limnogeology - reading the geological record of lakes
EDI
Limnogeology - reading the geological record of lakes
Convener: Marina MorlockECSECS | Co-conveners: Marta Marchegiano, Katleen Wils, Yin Lu

Sedimentary systems are excellent archives of past environmental change across the globe and have contributed significantly to our understanding of the Earth’s planetary system. The increasing number of available short and long (ICDP) sediment cores, along with seismic and bathymetric data, continues to be pivotal for assessing climate and environmental change, human activities as well as tectonic and volcanic activity, among others.
We invite contributions that use sedimentological, geochemical, biological, and chronological tools in lake systems and their sedimentary records. Contributions should aim to deduce quantitative and spatial rates of change, causes and consequences of long- and short-term climate variability, and/or assess the impact, magnitude, and frequency of tectonic and volcanic activities in these systems. We particularly encourage submissions about novel analytical approaches (destructive and non-destructive) and data analysis (statistics, machine learning, AI) that guide future research directions in limnogeology.

Sedimentary systems are excellent archives of past environmental change across the globe and have contributed significantly to our understanding of the Earth’s planetary system. The increasing number of available short and long (ICDP) sediment cores, along with seismic and bathymetric data, continues to be pivotal for assessing climate and environmental change, human activities as well as tectonic and volcanic activity, among others.
We invite contributions that use sedimentological, geochemical, biological, and chronological tools in lake systems and their sedimentary records. Contributions should aim to deduce quantitative and spatial rates of change, causes and consequences of long- and short-term climate variability, and/or assess the impact, magnitude, and frequency of tectonic and volcanic activities in these systems. We particularly encourage submissions about novel analytical approaches (destructive and non-destructive) and data analysis (statistics, machine learning, AI) that guide future research directions in limnogeology.