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D Suprayogo, D
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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Estimation of soil erosion for a sustainable land use planning: RUSLE model validation by remote sensing data utilization in the Kalikonto watershed Andriyanto, C; Sudarto, S; Suprayogo, D
Journal of Degraded and Mining Lands Management Vol. 3 No. 1 (2015)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2015.031.459

Abstract

Technology of Geographic Information Systems (GIS) and Remote Sensing (RS) are increasingly used for planning and natural resources management. GIS and RS is based on pixels is used as a tool of spatial modeling for predicting the erosion. One of the methods developed for predicting the erosion is a Revised Universal Soil Loss Equation (RUSLE). RUSLE is the method used for predicting the erosion associated with runoff gained from five parameters, namely: rain erosivity (R), soil erodibility (K), length of slopes (L), slope (S), and land management (CP). The main constraint encountered in the process of operating the GIS is the calculation of the slope length factor (L).This study was designed to create a plan of sustainable land use and low erosion through the RULSE erosion modeling by utilizing the remote sensing data. With this approach, this study was  divided into three activities, namely (1) the preparation and analysis of spatial data for the determination of the parameters and estimating the erosion by using RUSLE models, (2) the validation and calibration of the model of RUSLE by measuring soil erosion at the scale of plots on the field, and  (3) Creating a plan of sustainable land use and low erosion with RUSLE. The validation erosion shows the value of R2 = 0.56 and r = 0.74. Results of this study showed that the RUSLE model could be used in the Kalikonto watershed. The erosions at the value of the actual estimation, spatial Plan (RTRW) and land capability class in the Kalikonto watershed were  72t / ha / year, 62 t / ha / year and 58 t / ha / year, respectively
Effects of hedgerow systems on soil moisture and unsaturated hydraulics conductivity measured by the Libardi method Prijono, S; Laksmana, M T S; Suprayogo, D
Journal of Degraded and Mining Lands Management Vol. 3 No. 2 (2016)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2016.032.491

Abstract

The hedgerow systems are the agroforestry practices suggesting any positive impacts and negative impacts on soil characteristics. This study evaluated the effects of hedgerows on the unsaturated hydraulic conductivity of soil with the Libardi method approach. This study was conducted in North Lampung for 3 months on the hedgerow plots of  Peltophorum dassyrachis (P), Gliricidia sepium (G), and without hedgerow plot (K), with four replications. Each plot was watered as much as 150 liters of water until saturated, then the soil surface were covered with the plastic film. Observation of soil moisture content was done to a depth of 70 cm by the 10 cm intervals. Soil moisture content was measured using the Neutron probe that was calibrated to get the value of volumetric water content. Unsaturated hydraulic conductivity of soil was calculated by using the Libardi Equation. Data were tested using the analysis of variance, the least significant different test (LSD), Duncan Multiple Range Test (DMRT), correlation and regression analysis. The results showed that the hedgerow significantly affected the soil moisture content and unsaturated hydraulic conductivity. Soil moisture content on the hedgerow plots was lower than the control plots. The value of unsaturated hydraulic conductivity in the hedgerow plots was higher than the control plots. Different types of hedgerows affected the soil moisture content and unsaturated hydraulic conductivity. The positive correlation was found between the volumetric soil moisture content and the unsaturated hydraulic conductivity of soil.
Plant species from coal mine overburden dumping site in Satui, South Kalimantan, Indonesia Novianti, Vivi; Choesin, D N; Iskandar, D T; Suprayogo, D
Journal of Degraded and Mining Lands Management Vol. 4 No. 4 (2017)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2017.044.927

Abstract

Coal mine overburden (OB) materials were nutrient-poor, loosely adhered particles of shale, stones, boulders, and cobbles, also contained elevated concentration of trace metals. This condition cause OB substrate did not support plants growth. However, there were certain species that able to grow on overburden dumping site. This investigation sought to identify plants species that presence on coal mine overburden. The research was conducted on opencast coal mine OB dumping site in Satui, South Kalimantan. Vegetation sampling was carried out on six different ages of coal mine OB dumps (7, 10, 11, 42, 59 and 64 month) using line transect. Species identification used information from local people, AMDAL report of PT Arutmin Indonesia-Satui mine project, and website. There were 123 plant species, consisted of 79 herbs (Cyperaceae, Poaceae and Asteraceae), 10 lianes, bryophyte, 9 ferns, 10 shrubs, and 14 trees. A number of Poaceae, i.e., Paspalumconjugatum, Paspalumdilatatum, and Echinochloacolona generally present among the stones, boulders, and cobbles. While Cyperaceae such as Fimbristylis miliaceae, Cyperus javanicus, Rhyncospora corymbosa and Scleria sumatrensis most often foundinand around thebasin/pond with its smooth and humid substrate characteristics. Certain species of shrubs and trees present on the 7 month OB dumping site. They wereChromolaena odorata, Clibadium surinamense, Melastoma malabathricum, Trema micrantha, and Solanum torvum (Shrubs), Ochroma pyramidale and Homalanthus populifolius (trees). This plant species could be used for accelerating primary succession purpose on coal mine overburden dumping site. Nevertheless, species selection was needed to avoid planting invasive species.
Co-Authors C Andriyanto, C Choesin, D N Iskandar, D T M T S Laksmana, M T S S Prijono S Sudarto, S Vivi Novianti