Predictive Mapping for Soil pH and Phosphate based on Kriging Interpolation

DOI

10.2991/978-94-6463-086-2_33How to use a DOI?

Keywords

Good interpolator; Mapping; Spatial variability; Soils

Abstract

Spatial variability can be the main cause of uneven plant growth, but this has not received much attention in the field. Spatial variability in soil chemical properties (soil pH, P) can be calculated using a geostatistics approach. The main objective of this research was to make a predictive mapping for soil pH and phosphate based on Kriging interpolation. The research resulted that the maps generated by Kriging interpolation showed similar patterns of high leaching and erosion effects in the landscape. The range of spatial variability of soils was found between 250-350 m with an average value of 300 m. Therefore, an effective survey can be carried out with a density every 120 m (rounded up to 100 m). The elevation range with an average value of 700 m can be said to be a maximum of 50% causing the increase in spatial variability of soils. This was evidenced by the high difference between the soil characters range (250-350 m) and the elevation range (700 m). The spatial variability of soil characters did not only depend on the relief form, but also on the dynamics of the groundwater interflow. A combination of soil pH, available P provided good indices for high leaching in the landscape. The high spatial variability for soil pH and available P indicated the result of the weathering process of the parent material, which was influenced by slopes, land use, intensive vertical and lateral groundwater flows. Cation leaching was the main process causing systematic spatial variability of soils in the landscape. Therefore, this leaching process has to be managed.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - M. Edi Armanto
AU  - Elisa Wildayana
PY  - 2022
DA  - 2022/12/28
TI  - Predictive Mapping for Soil pH and Phosphate based on Kriging Interpolation
BT  - Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
PB  - Atlantis Press
SP  - 254
EP  - 262
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-086-2_33
DO  - 10.2991/978-94-6463-086-2_33
ID  - Armanto2022
ER  -