Evaluating choices in multi-process landscape evolution models

A.J.A.M. Temme, L. Claessens, A. Veldkamp, J.M. Schoorl

Research output: Contribution to journalArticleAcademicpeer-review

33 Citations (Scopus)

Abstract

The interest in landscape evolution models (LEMs) that simulate multiple landscape processes is growing. However, modelling multiple processes constitutes a new starting point for which some aspects of the set up of LEMs must be re-evaluated. The objective of this paper is to demonstrate the practical significance of, and possibilities for such re-evaluation. We first discuss which simplifications must be made to set up LEMs. Then, simplifications of particular interest to the modelling of multiple processes are identified. Finally, case studies from New Zealand, Belgium and Croatia explore the performance of different model versions under several common choices for model and data simplifications. In these case studies we illustrate methods to make the choices, typically by i) comparing the results of different model versions, ii) assessing model validity or iii) indicating the sensitivity of models for different simplifications. The results indicate that LEM performance is strongly dependent on multi-process related choices, and that performance indicators can be used for ex-post testing of the influence of these choices. In particular, we demonstrate the significance of simplifications regarding the number of processes, presence of sinks and temporal resolution.
Original languageEnglish
Pages (from-to)271-281
JournalGeomorphology
Volume125
Issue number2
DOIs
Publication statusPublished - 2011

Keywords

  • rudimentary mechanistic model
  • digital elevation models
  • land-use change
  • soil redistribution
  • new-zealand
  • catchment geomorphology
  • temporal scales
  • cellular-model
  • dem resolution
  • erosion

Fingerprint Dive into the research topics of 'Evaluating choices in multi-process landscape evolution models'. Together they form a unique fingerprint.

  • Cite this