As anthropogenic environmental changes accelerate and threaten species’ persistence and associated ecosystem services, major tasks for scientists are to predict biological responses to different and interacting pressures, and to design effective management strategies. Process-based models that explicitly integrate the different processes underpinning the responses of complex biological systems are now increasingly called for and provide opportunities (and challenges) to rapidly move forward in this endeavour. The RangeShifter software is a state-of-the-art eco-evolutionary modelling platform that is becoming increasingly used worldwide for both theoretical and applied purposes.
Find out more on our RangeShifter homepage: https://rangeshifter.github.io/
- University of Aberdeen: Greta Bocedi & Justin Travis
- University of Potsdam: Anne-Kathleen Malchow, Jette Reeg, Damaris Zurell