Discussion Series:

Early Warning Signals

Location: Virtual
Date: 29 January 14:30 – 16:00 CET
Register: https://early-warning-signals.confetti.events/ 

Join AIMES, the Earth Commission, Future Earth, and WCRP for a webinar on Early Warning Signals as potential indicators for system resilience loss and approaching tipping points as part of a series that aims to advance the knowledge about tipping points, irreversibility, and abrupt changes in the Earth system. With presentations from experts that will be followed by a moderated Q&A.

Presentations

  • Niklas Boers (Potsdam Institute for Climate Impact Research – PIK): Climate Tipping Points – Theory, empirical evidence, uncertainties
  • Sonia Kéfi (University of Montpellier): The spatial signatures of dryland ecosystems resilience
  • Q&A/ Discussion 

Moderated by Chris Boulton (University of Exeter)

Speaker Information:

Niklas Boers, Potsdam Institute for Climate Impact Research (PIK) 
Niklas Boers is Professor of Earth System Modelling, Technical University of Munich and Leader of the Future Lab ‘Artificial Intelligence in the Anthropocene’ at PIK. He is also associate coordinator of the Horizon 2020 project ‘Tipping Points in the Earth System’ (TiPES).

  • extreme events
  • paleoclimate
  • complex system science
  • dynamical systems
  • machine learning
  • time series analysis
  • semi-empirical modeling

Sonia Kéfi, University of Montpellier
Sonia Kéfi is a researcher at the CNRS based in the BioDICée team at the Institut des Sciences de l’Evolution de Montpellier (ISEM), France. In an era of global change, her research aims at understanding how ecosystems persist and change under pressures from changing climate and land use. What makes ecosystems resilient to changes and what makes them fragile? She combines mathematical modeling and data analysis to investigate the role of ecological interactions (in particular facilitation) in stabilizing and destabilizing ecosystems, but also to develop indicators of resilience that could warn us of approaching ecosystem shifts.