Abstract
Vegetation cover has a large impact on the soil loss dynamics of non-sealed, natural surfaces. Forests have meaningful effects on avoiding the production and transport of sediment. In this study, a combination of methods was applied to locate areas within a river catchment in the southern Andes of Ecuador that would produce a maximal or minimal impact on the sediment yield when deforested. RUSLE was applied to compute the amount of local sediment production within the study region. Then CAMF-MFD was used to simulate sediment flow throughout the catchment and to select cells with maximal/minimal impact on sediment yield at the catchment outlet and/or the urban border of the populated area within the catchment. Six scenarios were devised taking all possible combinations of two factors: reference areas (outlet, urban border, or the combination of both), and type of optimization (maximal- or minimal-impact afforested areas that would be converted to agriculture). The outcomes showed the results of CAMF-MFD are in the same order of magnitude as the sediment values obtained by related studies. Additionally, this work provides a means, based on scientifically sound methods, to discriminate between afforested areas that may be converted, in case it is required, to agriculture with a minimum impact on sediment yield, and afforested areas that must not, under any circumstances, be converted to land use types that are less protective to the soil.
| Original language | English |
|---|---|
| Title of host publication | Computational Science and Its Applications – ICCSA 2026 Workshops - Proceedings |
| Editors | Osvaldo Gervasi, M. Noelia Faginas Lago, Beniamino Murgante, Chiara Garau, Ana Maria A. C. Rocha, David Taniar, Yeliz Karaca |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 568-585 |
| Number of pages | 18 |
| ISBN (Print) | 9783032305268 |
| DOIs | |
| State | Published - 2027 |
| Event | Workshops of 26th International Conference on Computational Science and its Applications, ICCSA 2026 - Braga, Portugal Duration: 30 Jun 2026 → 3 Jul 2026 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Volume | 16761 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | Workshops of 26th International Conference on Computational Science and its Applications, ICCSA 2026 |
|---|---|
| Country/Territory | Portugal |
| City | Braga |
| Period | 30/06/26 → 3/07/26 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Keywords
- CAMF
- deforestation
- flow and yield
- heuristic optimization
- RUSLE
- sediment production
- spatial interaction
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