Email this article 
Predicting Spatial Distribution of Argilic Horizon Using Auxilary Information in Regional Scale
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.
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.
Full Text:
PDFDOI: https://doi.org/10.29244/jitl.7.2.%25p
Sekretariat: Jurnal Ilmu Tanah dan Lingkungan, Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, Institut Pertanian Bogor, Jl. Meranti Lt 4 Wing 12, Kampus IPB Darmaga, Bogor 16680
Telp. 02518629360; Fax. 02518629358
Website: http://journal.ipb.ac.id/index.php/jtanah
e-mail: jtl_soilipb@yahoo.com; jitl@apps.ipb.ac.id
P-ISSN: 1410-7333 E-ISSN: 2549-2853
This journal is published under the terms of the Creative Commons Attribution 4.0 International License.