The Global Land Project will hold its second Open Science Meeting (OSM) in Berlin from March 19-21, 2014. This will be a unique opportunity to hear about cutting-edge land and global environmental change research. A list of sessions was recently released here – check it out and see if anything peaks your interest. In particular, I will be co-chairing three sessions related to ABMs, synthesis, and/or GLOBE:
1. Research Session 0126: “Bridging local to global land change studies with the GLOBE online tool” (co-chaired with Erle Ellis)
2. World Cafe Workshop 0075: “From meta-analysis to modeling: understanding local land change globally” (co-chaired with Jasper van Vliet)
3. Short Training Session 0125: “The GLOBE project: evolving new global workflows for land change science” (co-chaired with Erle Ellis and the GLOBE Team)
I attended the first OSM in 2010 (wow, that long ago?!) held at Arizona State University, and it was a great meeting. Session content was exceptional and the meeting was not too big. I highly recommend getting to Berlin next year if you can!
On November 28th, 2011, a workshop in Lake Crackenback, Australia was organized by Prof. Mark Rounsevell, CECS, University of Edinburgh, UK and sponsored by the Global Land Project (GLP) and Australia’s CSIRO. The aim of the workshop was to explore theoretical and modeling approaches for incorporating human decision-making into large-scale climate system models. This theme arose from the recognition that the cumulative effects of local land-use change contribute significantly to global environmental change, and land-use is the result of adaptive decision-making of land-users. In order to understand the linkages between climate systems and land-use, we must integrate decision-level, process-based models (for example, agent-based models) with large-scale climate models.
The perspectives, ideas, and contributions of workshop participants have been synthesized and released as a report from the GLP. A collaborative effort between regional and global climate modelers, land change scientists, and agent-based modelers, this report describes methods for up-scaling local land system models for integration with large-scale climate models.
Although there is much room for improvement in both climate system and agent-based modeling, the integration of these approaches is an important next step for creating realistic climate change scenarios that account for the adaptive responses of land-users.