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| DOI: | 10.1890/06-1952.1 |
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| Web URL(s): | http://onlinelibrary.wiley.com/doi/10.1890/06-1952.1/pdf
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| Publication Type:
| Refereed |
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| Author(s): | Kaye, J. P.;
Majumdar, A.;
Gries, C.;
Buyantuyev, A.;
Grimm, N. B.;
Hope, D.;
Jenerette, G. D.;
Zhu, W. X.;
Baker, L. |
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| Author Affiliation: | Kaye: Department of Crop and Soil Sciences, Pennsylvania State University, University Park, Pennsylvania; Majumdar: Department of Mathematics and Statistics, Arizona State University, Tempe, Arizona; Gries, and Hope: Global Institute of Sustainability, Arizona State University, Tempe, Arizona; Buyantuyev: Global Institute of Sustainability, Arizona State University, Tempe, Arizona and School of Life Sciences, Arizona State University, Tempe, Arizona; Grimm: School of Life Sciences, Arizona State University, Tempe, Arizona; Jenerette: Department of Botany and Plant Sciences, University of California, Riverside, California; Zhu: Department of Biological Science, State University of New York, Binghamton, New York; Baker: Minnesota Water Resources Center, St. Paul, Minnesota |
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| Title: | Hierarchical bayesian scaling of soil properties across urban, agricultural, and desert ecosystems |
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| Source: | Ecological Applications. Vol. 18, No. 1, January 2008, p. 132-145. |
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| Publishing Information: | Washington, D. C.: Ecological Society of America |
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| # of Pages: | 14 |
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| Related Web URL: | http://onlinelibrary.wiley.com/doi/10.1890/06-1952.1/abstract
Last checked: 12/08/2017
Notes: Abstract only |
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| Keywords: | TIC Keywords: Carbon sequestration; Chemical soil analysis; Comparisons; Evaluations; Nitrogen level; Nutrient concentration; Phosphorus; Soil properties
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| Geographic Terms: | Phoenix, Arizona |
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| Abstract/Contents: | "Ecologists increasingly use plot-scale data to inform research and policy related to regional and global environmental change. For soil chemistry research, scaling from the plot to the region is especially difficult due to high spatial variability at all scales. We used a hierarchical Bayesian model of plot-scale soil nutrient pools to predict storage of soil organic carbon (oC), inorganic carbon (iC), total nitrogen (N), and available phosphorus (avP) in a 7962-km2 area including the Phoenix, Arizona, USA, metropolitan area and its desert and agricultural surroundings. The Bayesian approach was compared to a traditional approach that multiplied mean values for urban mesic residential, urban xeric residential, nonresidential urban, agricultural, and desert areas by the aerial coverage of each land-use type. Both approaches suggest that oC, N, and avP are correlated with each other and are higher (in g/m2) in mesic residential and agricultural areas than in deserts or xeric residential areas. In addition to traditional biophysical variables, cultural variables related to impervious surface cover, tree cover, and turfgrass cover were significant in regression models predicting the regional distribution of soil properties. We estimate that 1140 Gg of oC have accumulated in human-dominated soils of this region, but a significant portion of this new C has a very short mean residence time in mesic yards and agricultural soils. For N, we estimate that 130 Gg have accumulated in soils, which explains a significant portion of missing N observed in the regional N budget. Predictions for iC differed between the approaches because the Bayesian approach predicted iC as a function of elevation while the traditional approach employed only land use. We suggest that Bayesian scaling enables models that are flexible enough to accommodate the diverse factors controlling soil chemistry in desert, urban, and agricultural ecosystems and, thus, may represent an important tool for ecological scaling that spans land-use types. Urban planners and city managers attempting to reduce C emissions and N pollution should consider ways that landscape choices and impervious surface cover affect city-wide soil C, N, and P storage." |
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| Language: | English |
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| References: | 44 |
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| Note: | Maps
Pictures, b/w
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kaye, J. P., A. Majumdar, C. Gries, A. Buyantuyev, N. B. Grimm, D. Hope, et al. 2008. Hierarchical bayesian scaling of soil properties across urban, agricultural, and desert ecosystems. Ecol. Appl. 18(1):p. 132-145. |
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| DOI: 10.1890/06-1952.1 |
| Web URL(s):
http://onlinelibrary.wiley.com/doi/10.1890/06-1952.1/pdf
Last checked: 12/14/2017
Requires: PDF Reader
Access conditions: Item is within a limited-access website
http://onlinelibrary.wiley.com/doi/10.1890/06-1952.1/full
Last checked: 12/08/2017
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Last checked: 12/08/2017
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Access conditions: Item is within a limited access website |
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