A comparison of methods to predict soil surface texture in an alluvial basin

Peter Scull, Greg Okin, Oliver A. Chadwick, Janet Franklin

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

Surface soil texture controls many important ecological, hydrological, and geomorphic processes in arid regions and is therefore important from a land-management perspective. Soil survey efforts have traditionally fulfilled this need, but they are constrained by the size, remoteness, and inaccessibility of many and regions, which renders simple field measurements prohibitively expensive. This article compares several different predictive soil-mapping techniques with a sparse data set in order to develop surficial soil texture maps. Our results suggest that data collected at the landscape scale can be used as input to predictive soil-mapping techniques to create maps of soil texture at higher fidelity and a fraction of the cost than would be required using traditional methods.

Original languageEnglish (US)
Pages (from-to)423-437
Number of pages15
JournalProfessional Geographer
Volume57
Issue number3
DOIs
StatePublished - Aug 2005

Keywords

  • Geostatistics
  • Joshua Tree National Park
  • Predictive soil mapping
  • Soil survey
  • Soil texture

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes

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