Modeling Lasolo Watershed Sedimentation and Mangrove Root Growth at the Lasolo Coast in North Konawe, Indonesia

  • Nurul KHAKHIM Department of Geographical Information Science, Faculty of Geography, Universitas Gadjah Mada, Indonesia
  • Farid YASIDI Doctoral Program in Faculty of Geography, Universitas Gadjah Mada, Indonesia
  • Djati MARDIATNO Department of Environmental Geography, Universitas Gadjah Mada, Indonesia
  • Agung KURNIAWAN Department of Geographical Information Science, Faculty of Geography, Universitas Gadjah Mada, Indonesia

Abstract

This research sought to simultaneously measure sedimentation and mangrove root growth rates at the Lasolo River estuary and construct a predictive sedimentation model from the measured rates. The applied methods were descriptive quantitative analyses using cloud-based computation to obtain sea surface temperatures, Landsat 8 and 9 OLI images to identify land cover change, field-derived data, and rain data. The neural network toolbox in MATLAB was used to perform the modeling. Results showed that sediments accumulated at the highest rate of 6.10 cm, and mangrove roots grew at an average of less than 1 cm per two weeks, meaning that the former always surpasses the latter. The forecasting model’s training and validation each produced a regression value (R) of 0.92 and 0.69 for sedimentation rates and R=0.83 and R=0.88 for root growth rates. Sedimentation rates continued to vary until the end of the observation, with a maximum of 3.91 cm. Although the root growth rates had a similar pattern (fluctuating), an upward trend with signs of acceleration to 0.62 cm was observed. This study also detected a conversion of vegetated land into open mining areas, which expanded, tentatively, from 645.8 ha in 2013 to 2,112.6 ha in 2022.

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Published
2023-03-10
How to Cite
KHAKHIM, Nurul et al. Modeling Lasolo Watershed Sedimentation and Mangrove Root Growth at the Lasolo Coast in North Konawe, Indonesia. Journal of Environmental Management and Tourism, [S.l.], v. 14, n. 1, p. 98 - 112, mar. 2023. ISSN 2068-7729. Available at: <https://journals.aserspublishing.eu/jemt/article/view/7633>. Date accessed: 27 may 2024. doi: https://doi.org/10.14505/jemt.v14.1(65).10.