Mind, the gap in landscape‐evolution modelling

摘要: Despite an increasing recognition that human activity is currently the dominant force modifying landscapes, and this has been through Holocene, there little integrative work to evaluate interactions with geomorphic processes. We argue agent-based models (ABMs) are a useful tool for overcoming limitations of existing, highly empirical approaches. In particular, they allow integration decision-making into process-based provide heuristic way evaluating compatibility knowledge gained from wide range sources, both within outwith discipline geomorphology. The application ABMs geomorphology demonstrated two different perspectives. SPASIMv1 (Special Protection Area SIMulator version 1) model used potential impacts land-use change – particularly in relation wildfire subsequent soil conditions, runoff erosion over decadal timescale present day mid-twenty-first century. It focuses on representation farmers traditional versus commercial perspectives central Spain, highlights importance land-tenure structure historical contingencies individuals' decision-making. CYBEROSION, however, considers changes deposition scale at least centuries. represents wild domesticated animals humans as agents, investigates them context early agriculturalists southern France prehistoric context. advantages disadvantages ABM approach, consider some major challenges. These challenges include process-scale mismatches, differences perspective between investigators disciplines, issues regarding evaluation, analysis interpretation. If can be overcome, fully integrated approach will means conceptualize soundly study human–landscape by bridging gap social physical Copyright © 2010 John Wiley & Sons, Ltd.