Literature DB >> 31701315

Assessment of soil erosion in social forest-dominated watersheds in Lampung, Indonesia.

Rahmah Dewi Yustika1,2, Hiroaki Somura3, Slamet Budi Yuwono4, Bustanul Arifin4, Hanung Ismono4, Tsugiyuki Masunaga5.   

Abstract

Social forestry policies grant local communities the right to access protected forest areas contingent upon certain governmental criteria. However, the adoption of social forestry is known to alter land-cover patterns and promote soil erosion. This study assessed the water quality of Sekampung Hulu and Sangharus Rivers in Lampung, Indonesia, based on their total suspended solid (TSS) concentrations. Subsequently, the extent of soil erosion in the two watersheds was determined, and best management practices (BMPs) were recommended for the study area. Water sampling was conducted in 2016 to estimate TSS levels in the two watersheds. Additionally, the Universal Soil Loss Equation (USLE) was integrated with an ArcGIS model to evaluate soil erosion in the watersheds. The results indicated that TSS concentrations in the Sekampung Hulu and Sangharus Rivers ranged from 36-813 mg L-1 and 16-146 mg L-1, respectively. Further, the average soil erosion rates in the Sekampung Hulu and Sangharus watersheds were 12.5 Mg ha-1 year-1 and 5.6 Mg ha-1 year-1, respectively. The results indicated that young coffee trees increased soil erosion rates, especially in areas characterized by vulnerable soil. The USLE results concurred with the TSS analysis and indicated higher erosion rates for the Sekampung Hulu watershed than the Sangharus watershed. The application of BMPs, including conversion to agroforestry coffee, cover crops, and contour systems, was effective in reducing soil erosion in both the Sekampung Hulu and Sangharus watersheds.

Entities:  

Keywords:  Erosion; Sangharus watershed; Sekampung Hulu watershed; Social forestry; Total suspended solids

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Year:  2019        PMID: 31701315     DOI: 10.1007/s10661-019-7890-5

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  3 in total

1.  Assessment of potential changes in soil erosion using remote sensing and GIS: a case study of Dacaozi Watershed, China.

Authors:  Jun Huang
Journal:  Environ Monit Assess       Date:  2018-11-20       Impact factor: 2.513

2.  Soil erodibility in Europe: a high-resolution dataset based on LUCAS.

Authors:  Panos Panagos; Katrin Meusburger; Cristiano Ballabio; Pasqualle Borrelli; Christine Alewell
Journal:  Sci Total Environ       Date:  2014-02-21       Impact factor: 7.963

3.  Effects of soil conservation techniques on water erosion control: A global analysis.

Authors:  Muqi Xiong; Ranhao Sun; Liding Chen
Journal:  Sci Total Environ       Date:  2018-07-19       Impact factor: 7.963

  3 in total

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