Quantitative Modeling of Landscape Evolution

摘要: This chapter reviews quantitative modeling of landscape evolution – which means that not just model studies but also concepts are discussed. Quantitative is contrasted with conceptual or physical modeling, and four categories presented. Procedural focus on experimentation. Descriptive use models to learn about landscapes in general. Postdictive predictive try correctly simulate the real landscapes, respectively past (with calibration) future calibrated models). The geomorphic process a central concept modeling. We discuss problems field-based definition these processes from modelling perspective. After classification 117 categories, we find descriptive most common, least common. In remainder chapter, list review studies. procedural studies, attention has been focussed at production methods for digital spatial resolution role sinks depressions. mainly surface–tectonic interactions, sensitivity external forcing, crucial field observations results. operate time-forward mode sometimes validated (postdictive soil redistribution over centennial millennial timescales). Finally, look ahead arguing larger complexity research, uncertainty analysis, feedbacks other fields (including ecology).