Spatial variation in soil inorganic nitrogen across an arid urban ecosystem

被引:35
作者
Hope D. [1 ]
Zhu W. [2 ]
Gries C. [1 ]
Oleson J. [3 ]
Kaye J. [4 ]
Grimm N.B. [4 ]
Baker L.A. [5 ]
机构
[1] International Institute for Sustainability, Arizona State University, Tempe
[2] Biological Sciences, SUNY, Binghamton
[3] Department of Math and Statistics, ASU, Box 871804
[4] School of Life Sciences, ASU, Box 874501, Tempe
[5] Minnesota Water Resources Center, 173 McNeal Hall, St. Paul, MN 55108
基金
美国国家科学基金会;
关键词
CAP LTER; Desert; Integrated inventory; Soil NH [!sub]4[!/sub]-N; Soil NO [!sub]3[!/sub]-N-N; Spatial autocorrelation; Urban ecosystem;
D O I
10.1007/s11252-005-3261-9
中图分类号
学科分类号
摘要
We explored variations in inorganic soil nitrogen (N) concentrations across metropolitan Phoenix, Arizona, and the surrounding desert using a probability-based synoptic survey. Data were examined using spatial statistics on the entire region, as well as for the desert and urban sites separately. Concentrations of both NO 3-N and NH 4-N were markedly higher and more heterogeneous amongst urban compared to desert soils. Regional variation in soil NO 3-N concentration was best explained by latitude, land use history, population density, along with percent cover of impervious surfaces and lawn, whereas soil NH 4-N concentrations were related to only latitude and population density. Within the urban area, patterns in both soil NO 3-N and NH 4-N were best predicted by elevation, population density and type of irrigation in the surrounding neighborhood. Spatial autocorrelation of soil NO 3-N concentrations explained 49% of variation among desert sites but was absent between urban sites. We suggest that inorganic soil N concentrations are controlled by a number of 'local' or 'neighborhood' human-related drivers in the city, rather than factors related to an urban-rural gradient. © 2005 Springer Science + Business Media, Inc.
引用
收藏
页码:251 / 273
页数:22
相关论文
共 72 条
[1]  
Adams J.S., Residential structure of Midwestern cities, Ann. Assoc. Am, Geogr., 64, pp. 378-386, (1970)
[2]  
Alberti M., Botsford E., Cohen A., Quantifying the urban gradient: Linking urban planning and ecology, Avian Ecology and Conservation in An Urbanizing World, pp. 89-115, (2001)
[3]  
Baker L.A., Hope D., Xu Y., Lauver L., Edmonds J., Nitrogen balance for the central arizona-phoenix ecosystem, Ecosystems, 4, pp. 582-602, (2001)
[4]  
Baker L.A., Brazel A.J., Selover N., Martin C., McIntyre N., Steiner F.R., Nelson A., Musacchio L., Urbanization and warming of Phoenix (Arizona, USA): Impacts, feedbacks and mitigation, Urban Ecoystems, 6, pp. 183-203, (2002)
[5]  
Bayman J.M., The Hohokam of Southwest North America, J. World Prehistory, 13, pp. 257-311, (2001)
[6]  
Berk K.N., Comparing subset regression procedures, Technometrics, 20, pp. 1-6, (1978)
[7]  
Carreiro M.M., Howe K., Parkhurst D.F., Pouyat R.V., Variations in quality and decomposability of re oak leaf litter along an urban-rural gradient, Biol. Fert. Soils, 30, pp. 258-268, (1999)
[8]  
Clark K.C., Hoppen S., Gaydos L., A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area, Environ., 24, pp. 247-261, (1997)
[9]  
Collins J.P., Kinzig A.P., Grimm N.B., Fagan W.B., Hope D., Wu J., Borer E.T., A new urban ecology, American Scientist, 88, pp. 416-425, (2000)
[10]  
Cook R.D., Weisberg S., Residuals and Influence in Regression, (1982)