TY - JOUR
T1 - Assessment of soil erosion in social forest-dominated watersheds in Lampung, Indonesia
AU - Yustika, Rahmah Dewi
AU - Somura, Hiroaki
AU - Yuwono, Slamet Budi
AU - Arifin, Bustanul
AU - Ismono, Hanung
AU - Masunaga, Tsugiyuki
N1 - Funding Information:
The SMARTD (Sustainable Management of Agricultural Research and Technology Dissemination), Indonesian Agency for Agricultural Research and Development, Ministry of Agriculture, provided funding for this study. This study was partially supported by the Grant-in-Aid for Scientific Research, KAKENHI (B): 17H01915.
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
KW - Erosion
KW - Sangharus watershed
KW - Sekampung Hulu watershed
KW - Social forestry
KW - Total suspended solids
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U2 - 10.1007/s10661-019-7890-5
DO - 10.1007/s10661-019-7890-5
M3 - Article
C2 - 31701315
AN - SCOPUS:85074689940
SN - 0167-6369
VL - 191
JO - Environmental Monitoring and Assessment
JF - Environmental Monitoring and Assessment
IS - 12
M1 - 726
ER -