Virtual Institute of Integrated Climate and Landscape Evolution Analyses

In the Virtual Institute ICLEA (Integrated Climate and Landscape Analyses) we apply a novel concept of bridging time scales (Figure) based on a two-step approach including:

  1. significantly increasing the time resolution and the precision of dating of proxy data by integrating natural archives with seasonal time resolution, and,
  2. calibrating and verifying these proxy data by extensive on-site instrumental monitoring.

This unprecedented high temporal resolution data set will allow us to investigate specifically how fast or sudden landscape scale changes occurred in the past, along with their driving forces and possible threshold processes/tipping points - essential knowledge for estimating the extent and impact of future changes.

The northern central European lowlands in Germany and Poland provide an ideal 'large scale natural laboratory' for this purpose because the landscape formation is young in geological terms allowing us to trace landscape evolution from point 'zero' after the glacier retreats at the end of the last ice age. Moreover, this area is characterized by rather low annual precipitation and thus is particularly vulnerable to hydrological changes. Declining lake levels in this region during the last three decades are of great concern. Definite explanations for this phenomenon are still lacking. Solving this problem and providing profound data for regional water management strategies is one of the tangible tasks of ICLEA.

More information about ICLEA: www.iclea.de

This website uses cookies. There are two types of cookies: The first type supports the basic functionality of our website. The second allows us to improve our content for you by saving and analyzing pseudonymised user data. Since this second type is technically not required to run the website, you can withdraw your consent to those cookies at any time. For more information please visit our pages on data protection.

Mandatory

These cookies are needed for a smooth operation of our website.

Statistic

For statistical reasons, we use the platform Matomo to analyse the user flow with the help of website users‘ pseudonymised data. This allows us to optimize website content.

Name Purpose Lifetime Type Provider
_pk_id Used to store a few details about the user such as the unique visitor ID. 13 months HTML Matomo
_pk_ref Used to store the attribution information, the referrer initially used to visit the website. 6 months HTML Matomo
_pk_ses Short lived cookie used to temporarily store data for the visit. 30 minutes HTML Matomo