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

Jacob J Oleson; Diane Hope; Corinna Gries; Jason Kaye

doi:10.1002/env.789

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

Journal article

Open access

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

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

Environmetrics (London, Ont.), Vol.17(5), pp.517-525

08/2006

DOI: 10.1002/env.789

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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 NO3N shows markedly greater spatial autocorrelation in the desert regions, while the soil C shows varying amounts of spatial relationships in the different regions.

Regression

hierarchical Bayes

LTER

MCMC

spatial correlation

Details

Title: Subtitle: Estimating soil properties in heterogeneous land-use patches: a Bayesian approach
Creators: Jacob J Oleson - Department of Biostatistics, The University of Iowa, Iowa City, IA, U.S.A
Diane Hope - Global Institute of Sustainability, Arizona State University, Tempe, AZ, U.S.A
Corinna Gries - Global Institute of Sustainability, Arizona State University, Tempe, AZ, U.S.A
Jason Kaye - Department of Crop and Soil Sciences, Penn State University, University Park, PA, U.S.A
Resource Type: Journal article
Publication Details: Environmetrics (London, Ont.), Vol.17(5), pp.517-525
DOI: 10.1002/env.789
ISSN: 1180-4009
eISSN: 1099-095X
Publisher: John Wiley & Sons, Ltd
Number of pages: 9
Language: English
Date published: 08/2006
Academic Unit: Biostatistics
Record Identifier: 9984214783402771

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