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Cited by 206

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Mathematical Modeling of Whole Landscape Evolution

Willgoose, Garry·2005·Annual Review of Earth and Planetary Sciences

Abstract

▪ Abstract The mathematical modeling of landform evolution consists of two components: the processes represented (i.e., considered dominant) in the model and the (typically computer) model representation of these processes. This review discusses the current debates surrounding processes represented in landform evolution. The potential impact on both evolving landforms and computer model structure is discussed. Issues specifically discussed include (a) the fundamental nature of mass conservation and the role of detachment- and transport-limited processes in mass conservation equations, (b) the interaction between detachment- and transport-limitation in channels, (c) the role of hillslope erosion and soil properties and their interaction with channel processes, (d) the interactions with tectonics when applying these models at large scale, (e) depositional structures and implications for paleo-climatic interpretation, (f) engineering applications of these models, and (g) numerical issues in the computer implementations. This review is not a model comparison. However, many applications are at the boundaries of computer capabilities so a comparison of existing models is provided.

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Crossref · 10.1146/annurev.earth.33.092203.122610

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Metadata

Authors
Willgoose, G.
Venue
Annual Review of Earth and Planetary Sciences
Published
2005-05-31
Volume
33
Issue
1
Pages
443-459
ISSN
  • 0084-6597 (ISSN-L)
  • 1545-4495
OpenAlex
W2153109963
Cited by
206
References
1
FWCI
8.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mathematical Modeling of Whole Landscape Evolution. https://app.cochat.ai/papers/10.1146/annurev.earth.33.092203.122610
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Willgoose, G. (2005). Mathematical Modeling of Whole Landscape Evolution. Annual Review of Earth and Planetary Sciences. https://doi.org/10.1146/annurev.earth.33.092203.122610

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.