Optimizing Land-Use Scenarios for Water-Resource Sustainability in the Upper Kampar Watershed, Indonesia
Abstract
Soil erosion in the Upper Kampar Watershed threatens reservoir storage and downstream water reliability. This study compared four land-use scenarios using the Universal Soil Loss Equation and the Soil Conservation Service Curve Number method across 100 land units. Existing land use produced 142.70 t.ha−1.yr−1 of soil loss, well above the tolerable value of 39.62 t.ha−1.yr−1. Meeting the minimum forest-cover rule lowered erosion by 31.95% but did not reach the threshold. Strip cropping reduced erosion to 32.90 t.ha−1.yr−1, whereas rehabilitation of mapped protected areas yielded 36.15 t.ha−1.yr−1 and the lowest Qmax/Qmin ratio (28.38). Discharge records supported directional checking, but independent event-scale validation was unavailable. The results support protected-area rehabilitation as a zoning framework, combined with soil-conservation practices on cultivated slopes and field monitoring of sediment and river flow.
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Alewell, C., Borrelli, P., Meusburger, K., & Panagos, P. (2019). Using the USLE: Chances, challenges and limitations of soil erosion modelling. International Soil and Water Conservation Research, 7(3), 203–225. https://doi.org/10.1016/j.iswcr.2019.05.004
Benavidez, R., Jackson, B., Maxwell, D., & Norton, K. P. (2018). A review of the (Revised) Universal Soil Loss Equation ((R)USLE): With a view to increasing its global applicability and improving soil loss estimates. Hydrology and Earth System Sciences, 22(11), 6059–6086. https://doi.org/10.5194/hess-22-6059-2018
Bezak, N., Borrelli, P., & Panagos, P. (2022). Exploring the possible role of satellite-based rainfall data in estimating inter- and intra-annual global rainfall erosivity. Hydrology and Earth System Sciences, 26(7), 1907–1924. https://doi.org/10.5194/hess-26-1907-2022
Bols, P. L. (1978). The iso-erodent map of Java and Madura.
Borrelli, P., Robinson, D. A., Fleischer, L. R., Lugato, E., Ballabio, C., Alewell, C., Meusburger, K., Modugno, S., Schütt, B., Ferro, V., Bagarello, V., Van Oost, K., Montanarella, L., & Panagos, P. (2017). An assessment of the global impact of 21st century land use change on soil erosion. Nature Communications, 8(1), 2013. https://doi.org/10.1038/s41467-017-02142-7
Borrelli, P., Robinson, D. A., Panagos D , P., Lugato, E., Yang, J. E., Alewell, C., Wuepper, D., Montanarella, L., & Ballabio, C. (n.d.). Land use and climate change impacts on global soil erosion by water (2015-2070). https://doi.org/10.1073/pnas.2001403117/-/DCSupplemental
Borrellia, P., Robinson, D. A., Panagos, P., Lugato, E., Yang, J. E., Wuepper, D., Montanarella, L., & Ballabio, C. (2020). Land use and climate change impacts on global soil erosion by water (2015-2070) _ Enhanced Reader. PNAS, 117, 21994–22001.
Di Stefano, C., Nicosia, A., Pampalone, V., & Ferro, V. (2023). Soil loss tolerance in the context of the European Green Deal. Heliyon, 9(1). https://doi.org/10.1016/j.heliyon.2023.e12869
Erbaugh, J. T., Pradhan, N., Adams, J., Oldekop, J. A., Agrawal, A., Brockington, D., Pritchard, R., & Chhatre, A. (2020). Global forest restoration and the importance of prioritizing local communities. Nature Ecology & Evolution, 4(11), 1472–1476. https://doi.org/10.1038/s41559-020-01282-2
Fenta, A. A., Tsunekawa, A., Haregeweyn, N., Yasuda, H., Tsubo, M., Borrelli, P., Kawai, T., Belay, A. S., Ebabu, K., Berihun, M. L., Sultan, D., Setargie, T. A., Elnashar, A., Arshad, A., & Panagos, P. (2024). An integrated modeling approach for estimating monthly global rainfall erosivity. Scientific Reports, 14(1), 8167. https://doi.org/10.1038/s41598-024-59019-1
Ilstedt, U., Bargués Tobella, A., Bazié, H. R., Bayala, J., Verbeeten, E., Nyberg, G., Sanou, J., Benegas, L., Murdiyarso, D., Laudon, H., Sheil, D., & Malmer, A. (2016). Intermediate tree cover can maximize groundwater recharge in the seasonally dry tropics. Scientific Reports, 6(1), 21930. https://doi.org/10.1038/srep21930
Markum, & Rahman, F. A. (2024). Surface runoff in varying forest cover types in Jangkok Watershed, Lombok Island, Indonesia. Biodiversitas, 25(2), 753–761. https://doi.org/10.13057/biodiv/d250235
Matthews, F., Borrelli, P., Panagos, P., & Bezak, N. (2025). Dynamic assessment of rainfall erosivity in Europe: Evaluation of EURADCLIM ground-radar data. Hydrology and Earth System Sciences, 29, 5299–5313. https://doi.org/10.5194/hess-29-5299-2025
Montanarella, L., Pennock, D. J., McKenzie, N., Badraoui, M., Chude, V., Baptista Costa, I. D. S., Mamo, T., Yemefack, M., Aulang, M. S., Yagi, K., Hong, S. Y., Vijarnsorn, P., Zhang, G. L., Arrouays, D., Black, H., Krasilnikov, P., Sobocká, J., Alegre, J., Henriquez, C. R., … Vargas, R. (2016). World’s soils are under threat. SOIL, 2(1), 79–82. https://doi.org/10.5194/soil-2-79-2016
Moriasi, D. N., Gitau, M. W., Pai, N., & Daggupati, P. (2015). Hydrologic and water quality models: Performance measures and evaluation criteria. Transactions of the ASABE, 58(6), 1763–1785. https://doi.org/10.13031/trans.58.10715
Nearing, M. A., Xie, Y., Liu, B., & Ye, Y. (2017). Natural and anthropogenic rates of soil erosion. International Soil and Water Conservation Research, 5(2), 77–84. https://doi.org/10.1016/j.iswcr.2017.04.001
Panagos, P., Borrelli, P., Meusburger, K., Yu, B., Klik, A., Lim, K. J., Yang, J. E., Ni, J., Miao, C., Chattopadhyay, N., Sadeghi, S. H., Hazbavi, Z., Zabihi, M., Larionov, G. A., Krasnov, S. F., Gorobets, A. V, Levi, Y., Erpul, G., Birkel, C., … Ballabio, C. (2017). Global rainfall erosivity assessment based on high-temporal resolution rainfall records. Scientific Reports, 7(1), 4175. https://doi.org/10.1038/s41598-017-04282-8
Pianosi, F., Beven, K., Freer, J., Hall, J. W., Rougier, J., Stephenson, D. B., & Wagener, T. (2016). Sensitivity analysis of environmental models: A systematic review with practical workflow. Environmental Modelling & Software, 79, 214–232. https://doi.org/10.1016/j.envsoft.2016.02.008
Polidori, L., & El Hage, M. (2020). Digital elevation model quality assessment methods: A critical review. Remote Sensing, 12(21), 3522. https://doi.org/10.3390/rs12213522
Prosdocimi, M., Cerdà, A., & Tarolli, P. (2016). Soil water erosion on Mediterranean vineyards: A review. Catena, 141, 1–21. https://doi.org/10.1016/j.catena.2016.02.010
Qiao, X., Li, Z., Lin, J., Wang, H., Zheng, S., & Yang, S. (2024). Assessing current and future soil erosion under changing land use based on InVEST and FLUS models in the Yihe River Basin, North China. International Soil and Water Conservation Research, 12(2), 298–312. https://doi.org/10.1016/j.iswcr.2023.07.001
Rajbanshi, J., Das, S., & Paul, R. (2023). Quantification of the effects of conservation practices on surface runoff and soil erosion in croplands and their trade-off: A meta-analysis. Science of the Total Environment, 864, 161015. https://doi.org/10.1016/j.scitotenv.2022.161015
Republic of Indonesia. (1999). Law of the Republic of Indonesia Number 41 of 1999 concerning forestry.
Republic of Indonesia. (2007). Law of the Republic of Indonesia Number 26 of 2007 concerning spatial planning.
Saltelli, A., Aleksankina, K., Becker, W., Fennell, P., Ferretti, F., Holst, N., Li, S., & Wu, Q. (2019). Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices. Environmental Modelling & Software, 114, 29–39. https://doi.org/10.1016/j.envsoft.2019.01.012
Stehman, S. V, & Foody, G. M. (2019). Key issues in rigorous accuracy assessment of land cover products. Remote Sensing of Environment, 231, 111199. https://doi.org/10.1016/j.rse.2019.05.018
Tian, P., Zhu, Z., Yue, Q., He, Y., Zhang, Z., Hao, F., Guo, W., Chen, L., & Liu, M. (2021). Soil erosion assessment by RUSLE with improved P factor and its validation: Case study on mountainous and hilly areas of Hubei Province, China. International Soil and Water Conservation Research, 9(3), 433–444. https://doi.org/10.1016/j.iswcr.2021.04.007
U.S. Department of Agriculture Natural Resources Conservation Service. (2004). Hydrologic soil-cover complexes (National Engineering Handbook, Part 630, Chapter 9).
U.S. Department of Agriculture Soil Conservation Service. (1972). National engineering handbook, Section 4: Hydrology.
van Dijke, A. J., Herold, M., Mallick, K., Benedict, I., Machwitz, M., Schlerf, M., Pranindita, A., Theeuwen, J. J. E., Bastin, J.-F., & Teuling, A. J. (2022). Shifts in regional water availability due to global tree restoration. Nature Geoscience, 15, 363–368. https://doi.org/10.1038/s41561-022-00935-0
van Meerveld, H. J., Jones, J. P. G., Ghimire, C. P., Zwartendijk, B. W., Lahitiana, J., Ravelona, M., & Mulligan, M. (2021). Forest regeneration can positively contribute to local hydrological ecosystem services: Implications for forest landscape restoration. Journal of Applied Ecology, 58(4), 755–765. https://doi.org/10.1111/1365-2664.13836
Wischmeier, W. H., & Smith, D. D. (1978). Predicting rainfall erosion losses: A guide to conservation planning (Agriculture Handbook No. 537)
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