Predicting Spatial Distribution of Argilic Horizon Using Auxilary Information in Regional Scale

  • Yiyi Sulaeman
  • D Djaenudin

Abstract

For supporting better soil management, the spatial distribution of soils having argilic hori=on (argilic soils) must be
recognized and it can be delineate in soil survey mapping activity, but this activity consumes much time and money. This study aimed to build a decision tree model for predicting the spatial distribution of argillic hori=on based on auxiliary information using 3 predicting environmental variables; namely, geomorphic sUrface or substrate, landsurjace unit, and ecoregion beh.
Three-based modeling technique was used to generate classification tree model from 318 pedon of Lampung Province,
Indonesia. Argillic horizon is predicted to present in hot belt (elevation of 0-200 m above sea level) on interfluve-seepage
slope with probability 84% for acid igneous rock, 83% for basic igneous rock, and 90% for acid sedimentary rock. Argillic
horizon is also predicted to present in hot belt on transportational midslope with the probability 65% for transported acid sedimentary rock. Argillic horizon is predicted absent with the probability to occur ranging from 0% to 32% on otlrer combinations of landsurface unit, ecoregion belt, and substrate.

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Author Biography

Yiyi Sulaeman
Jurnal Tanah dan Lingkungan, dengan ISSN 1410-7333 diterbitkan dua kali setahun yaitu pada bulan April dan Oktober oleh Departemen Ilmu Tanah dan Sumberdaya Lahan (nama baru dari Departemen Tanah), Fakultas Pertanian, Institut Pertanian Bogor. Jurnal Tanah dan Lingkungan menyajikan artikel mengenai hasil penelitian dan ulasan tentang perkembangan mutakhir dalam bidang ilmu tanah, air dan ilmu lingkungan sebagai bahan kajian utama. Setiap naskah yang dikirim ke Jurnal Tanah dan Lingkungan, akan ditelaah oleh penelaah (reviewer) yang sesuai dengan bidangnya. Nama penelaah dicantumkan pada terbitan No. 2 dari setiap volume
Published
2005-10-01
How to Cite
SulaemanY., & DjaenudinD. (2005). Predicting Spatial Distribution of Argilic Horizon Using Auxilary Information in Regional Scale. Jurnal Ilmu Tanah Dan Lingkungan, 7(2), 48-53. https://doi.org/10.29244/jitl.7.2.48-53