Many landscape models have been developed over the past decades; however, r
elatively little is known about handling the effects of changing spatial an
d temporal resolutions. Therefore, resolution effects remain a factor of un
certainty in many hydrological and geomorphological modelling approaches. I
n this paper we present an experimental multi-scale study of landscape proc
ess modelling. Emphasis was laid on quantifying the effect of changing the
spatial resolution upon modelling the processes of erosion and sedimentatio
n. A simple single process model was constructed and equal boundary conditi
ons were created. Using artificial digital elevation models (DEMs) eliminat
ed effects of landscape representation. The only variable factors were DEM
resolution and the method of flow routing, both steepest descent and multip
le flow directions. Our experiments revealed an important dependency of mod
elled erosion and sedimentation rates on these main variables. The general
trend is an increase of erosion predictions with coarser resolutions. An ar
tificial mathematical overestimation of erosion and a realistic natural mod
elling effect of underestimating resedimentation cause this. Increasing the
spatial extent eliminates the artificial effect while at the same time the
realistic effect is enhanced. Both effects can be quantified and are expec
ted to increase within natural landscapes. The modelling of landscape proce
sses will benefit from integrating these types of results at different reso
lutions. Copyright (C) 2000 John Wiley & Sons, Ltd.