Estimating soil properties in heterogeneous land-use patches: A Bayesian approach

Jacob J. Oleson, Diane Hope, Corinna Gries, Jason Kaye

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Cities provide unique opportunities for integrating humans into ecology. Using data from a socio-ecological inventory of metropolitan Phoenix, Arizona, we explore the contribution of human-related variables to explaining observed variation in soil nitrate-N (NO3-N) and total carbon (C) concentrations across the city, agricultural fields, surrounding desert, and mixed regions. Conventional modeling approaches in such a setting would lead to examination of spatial relationships over the entire study area or on subsets of the data independently. However, the spatial relationships for NO3-N and C may be different in each of these regions. Here we estimate the correlation coefficients for influential variables toward soil NO3-N and C across the entire region, while at the same time accounting for potentially differing spatial patterns in each of these regions. Soil NO 3-N shows markedly greater spatial autocorrelation in the desert regions, while the soil C shows varying amounts of spatial relationships in the different regions.

Original languageEnglish (US)
Pages (from-to)517-525
Number of pages9
JournalEnvironmetrics
Volume17
Issue number5
DOIs
StatePublished - Aug 1 2006

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Ecological Modeling

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