CD Skripsi
Estimasi Kandungan Magnesium Tanah Pada Lahan Gambut Di Pulau Bengkalis Menggunakan Teknik Digital Soil Mapping
ABSTRACT
Magnesium (Mg) is one of the essential nutrients present in limited quantities in peat soils. Its availability varies depending on peat depth, decomposition level, and land use. However, information regarding the spatial distribution of Mg in peatlands remains limited, necessitating a spatial approach for accurate estimation. This study aimed to identify and map the distribution of soil magnesium content in the peatlands of Bengkalis Island using Digital Soil Mapping (DSM) techniques. The research involved data preparation, sampling map development, determination of sampling points using cluster sampling, soil sampling at depths of 0–30 cm and 30–60 cm from three peat domes at ten elevation levels (1–10 meters above sea level), laboratory analysis of Mg content, and data processing using IDW interpolation and the Geographically Weighted Regression (GWR) model. The data were analyzed using descriptive statistics and geospatial analysis.The results showed that the Mg content in the peat soils ranged from 1.27 to 5.52 me.100g⁻¹, classified as moderate to high, with variation observed even at the same elevation. The estimation maps revealed heterogeneous spatial distribution of Mg both horizontally across locations and vertically between depths. The GWR model demonstrated good predictive performance, with R² values of 73.5% for the 0–30 cm depth and 86.2% for the 30–60 cm depth. This study confirms that DSM combined with GWR is effective for spatially mapping Mg distribution in peatlands and provides valuable information for nutrient management and land-use planning on Bengkalis Island.
Keywords: Magnesium (Mg), Peatlands, Geographically Weighted Regression, Digital Soil Mapping
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