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Proceedings Paper

Multi-scale variability of soil salinity in the Yellow River Delta
Author(s): H. Wang; P. Gong; G. H. Liu
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Paper Abstract

Analysis and interpretation of spatial variability of soil salinity is a keystone in site-specific farming. To better understand patters of multi-scale spatial variability in soil salinity, soil samples (30 to 40 cm depth) were collected with separation distances of 0.04, 0.2, 1 and 6 km in the Yellow River Delta of China. Laboratory measurements of soil salt content were also made from these samples (n = 239). Moran's I autocorrelation coefficient was computed at preselected lag distances and correlograms were plotted to examine trends in autocorrelation. Spatial autocorrelation was found at scales ranging from 0.7 km to more than 75 km, depending on the sampling scale considered. A correlation range in regional scale appeared to be associated with elevation height, while a shorter range in field scale was likely influenced by alternating land use/land cover or microtopography types. Moran's I correlogram calculated with salinity data from all of the sampling locations suggested spatial pattern detection for soil salinity can be achieved with a sampling interval of approximately 2 km or less. The magnitude and spatial patterns of soil salinity have implications for devising appropriate schemes to improve land productivity and design of soil sampling strategies in the Yellow River Delta.

Paper Details

Date Published: 25 July 2007
PDF: 9 pages
Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67532M (25 July 2007); doi: 10.1117/12.761866
Show Author Affiliations
H. Wang, Hohai Univ. (China)
P. Gong, Nanjing Univ. (China)
G. H. Liu, Institute of Geographical Sciences and Natural Resources Research (China)

Published in SPIE Proceedings Vol. 6753:
Geoinformatics 2007: Geospatial Information Science
Jingming Chen; Yingxia Pu, Editor(s)

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