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This model illustrates how local foraging rules governing movement and substrate feedback can self-organize into large-scale topographic patterns, highlighting the wider role of decentralized biological processes in sculpting terrestrial landscapes.
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Terracettes, striking, step-like landforms that stripe steep, vegetated hillslopes, have puzzled scientists for more than a century. Competing hypotheses invoke either slow mass wasting (gravity-driven soil flow) or the relentless trampling of grazing animals, yet no mechanistic model has linked hoof-scale behaviour to landscape-scale form. Here, we bridge that gap with an active-walker model in which ungulates are represented as stochastic foragers moving on an erodible slope. Each agent weighs the energetic cost of climbing against the benefit of fresh forage; every hoof-fall compacts soil and lowers local biomass, subtly reshaping the energy landscape that guides subsequent steps. Over time, these stigmergic feedbacks concentrate traffic along cross-slope paths, which coalesce into periodic tread-and-riser bands morphologically analogous to natural terracettes. Our model illustrates how local foraging rules governing movement and substrate feedback can self-organize into large-scale topographic patterns, highlighting the wider role of decentralized biological processes in sculpting terrestrial landscapes.
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@article{Seleb2026ving,
title = {Moo-ving mountains: grazing agents drive terracette formation on steep hillslopes},
author = {Benjamin Seleb and M. Saad Bhamla},
journal = {Journal of The Royal Society Interface},
year = {2026},
doi = {10.1098/rsif.2025.0451},
url = {https://doi.org/10.1098/rsif.2025.0451}
}
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