Contribution Of The Rusle Model To The Analysis Of Erosion Trends In The Mananasy- Tamponala Watershed: Soavinandriana District

Rambeloson HERITAHINA, Harilala Eddy RASOLOMANANA, Jatmiko Suseno

Abstract


This study analyzes the spatio-temporal evolution of soil erosion in the Mananasy Tamponala watershed between 2016 and 2024. It is based on the RUSLE model coupled with remote sensing and GIS data. The R factor is derived from monthly precipitation, factor K is calculated from SoilGrids soil data, factor LS comes from a high-resolution DTM, factor C is estimated using NDVI images, and factor P integrates the land cover map via WorldCover and slope. The quantitative results show a median soil loss of approximately 57 t·ha⁻¹·year⁻¹ in 2022. Factor R increases from approximately 600 to 686 MJ·mm·ha⁻¹·h⁻¹ between 2016– 2020 and 2022, and factor C reaches 0.521 in 2022. At the same time, the proportion of land in extreme erosion classes (> 50 t·ha⁻¹·year⁻¹) increases from 4.72% in 2020 to 21.19% in 2022. These changes highlight the Itasy's high sensitivity to extreme precipitation and vegetation cover degradation, which requires integrated and sustainable soil management.

Keywords


RUSLE, Mananasy Tamponala, Watershed, Water erosion, Soil management

Full Text:

PDF

References


R. C. M. O. M. R. & A. F. M. R. N. R. G. Voarintsoa, Relation between bedrock geology, topography and lavaka distribution in Madagascar, vol. 115 (2), South African Journal of Geology, 2012.

A. M. Valisoa, Sustainable tourism through heritage enhancement. Through the 4P approach (Partnership-Public-Private-Population). Case study of the Rural Commune of Mananasy, 2017.

O. R. UNDP/AIED, Localization of SDGs in the Itasy region - Local consultation report, 2022.

e. a. K G Renard, RUSLE Model Description and Database Sensitivity, vol. 22(3), Journal of Environmental Quality, 1993.

R. N. H. et al., Modelling and Quantification of the Water Erosion of the Lake Itasy Watershed, vol. 2, International Journal of Progressive Sciences and Technologies, 2021.

C. ZEBROWSKI, PROPERTIES OF THE ANDOSOLS OF ITASY AND ANKARATRA, vol. 9, O.R.S.T.O.M, 2001.

D. E. D. A. L. E. À. M. RESEARCH CENTER, MONOGRAPHY OF THE ITASY REGION, 2013.

L. Razafinjara, Status, priorities and needs for sustainable soil management in Madagascar, 2013.

A. T. A. A. K. Adediji, Assessment of revised universal soil loss equation (RUSLE) in Katsina Area, Katsina State of Nigeria using remote sensing (RS) and geographic information system (GIS), vol. 3, Iranica Journal of Energy and Environment, 2010.

C. H. Center, CHIRPS: Rainfall Estimates from Rain Gauge and Satellite Observations, Santa Barbara, CA 93106, 2025.

A. E.-S. S. D. E. a. S. L. Lo, Effectiveness of EI 30 as an Erosivity Index in Hawaii, Soil Conservation Society of America, 1985, pp. 384-392.

A. &. W. J. Sharpley, EPIC — Erosion/Productivity Impact Calculator, vol. Technical Bulletin No. 1768, U.S. Department of Agriculture, 1990.

. &. Radziuk, oil Erodibility Factor K calculation using EPIC/USLE type models, MDPI, 2021.

E. E. Pelton J., Calculating Slope Length Factor (LS) in the Revised Universal Soil Loss Equation (RUSLE), 2012.

M. A. d. S. M. L. N. S. N. C. G. K. N. a. D. A. F. d. F. A. H. Oliveira, Development of Topographic Factor Modeling for Application in Soil Erosion Models in Soil Processes and Current Trends in Quality Assessment, 2013, pp. 113-138.

J. J. R. &. M. L. van der Knijff, Soil Erosion Risk Assessment in Europe: A Report to the European Commission (EUR Report – Scientific and Technical Research Series), European Commission, 2000.

K. F. G. W. G. M. D. &. Y. D. Renard, Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE), United States Department of Agriculture, 1997.

A. c. f. d. control, Tropical Storm Ana Hits hard five countries in the Southern Africa Region, 2022.

GDACS, Overall Red alert Tropical Cyclone for EMNATI-22, 2022.

WWF, Madagascar, a burning paradise, 2022.

F. R. B. H. N. & Z. M. Akotondrabe, Dynamics of water erosion and bush fires in the Itasy region (Madagascar), vol. 2, Revue Malgache de Géographie et Environnement, 2019, pp. 45–62.

G. Mohamed, Study of the impact of fires on soil erosion based on solid transport in watercourses in humid tropical environments (the Oubangui River in the Central African Republic): preliminary stage, Hydrology Laboratory, ORSTOM/Montpellier, 1996.

F. K. Tobi Moriaque AKPLO, Mapping the risk of soil erosion using RUSLE, GIS, and remote sensing: a case study of the Zou watershed in central Benin | Moroccan Journal of Agricultural Sciences, Crop Production and Environment, 2020.

R. C. et al., Erosion rates and sediment sources in Madagascar inferred from ^10Be analysis of lavaka, slope, and river sediment, vol. 4, The Journal of Geology, 2009.




DOI: http://dx.doi.org/10.52155/ijpsat.v54.1.7674

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 HERITAHINA Rambeloson

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.